JoVE Visualize What is visualize?
Stop Reading. Start Watching.
Advanced Search
Stop Reading. Start Watching.
Regular Search
Find video protocols related to scientific articles indexed in Pubmed.
Hierarchical Bayesian Model for Rare Variant Association Analysis Integrating Genotype Uncertainty in Human Sequence Data.
Genet. Epidemiol.
PUBLISHED: 07-09-2014
Show Abstract
Hide Abstract
Next-generation sequencing (NGS) has led to the study of rare genetic variants, which possibly explain the missing heritability for complex diseases. Most existing methods for rare variant (RV) association detection do not account for the common presence of sequencing errors in NGS data. The errors can largely affect the power and perturb the accuracy of association tests due to rare observations of minor alleles. We developed a hierarchical Bayesian approach to estimate the association between RVs and complex diseases. Our integrated framework combines the misclassification probability with shrinkage-based Bayesian variable selection. It allows for flexibility in handling neutral and protective RVs with measurement error, and is robust enough for detecting causal RVs with a wide spectrum of minor allele frequency (MAF). Imputation uncertainty and MAF are incorporated into the integrated framework to achieve the optimal statistical power. We demonstrate that sequencing error does significantly affect the findings, and our proposed model can take advantage of it to improve statistical power in both simulated and real data. We further show that our model outperforms existing methods, such as sequence kernel association test (SKAT). Finally, we illustrate the behavior of the proposed method using a Finnish low-density lipoprotein cholesterol study, and show that it identifies an RV known as FH North Karelia in LDLR gene with three carriers in 1,155 individuals, which is missed by both SKAT and Granvil.
Related JoVE Video
Distribution and medical impact of loss-of-function variants in the Finnish founder population.
PLoS Genet.
PUBLISHED: 07-01-2014
Show Abstract
Hide Abstract
Exome sequencing studies in complex diseases are challenged by the allelic heterogeneity, large number and modest effect sizes of associated variants on disease risk and the presence of large numbers of neutral variants, even in phenotypically relevant genes. Isolated populations with recent bottlenecks offer advantages for studying rare variants in complex diseases as they have deleterious variants that are present at higher frequencies as well as a substantial reduction in rare neutral variation. To explore the potential of the Finnish founder population for studying low-frequency (0.5-5%) variants in complex diseases, we compared exome sequence data on 3,000 Finns to the same number of non-Finnish Europeans and discovered that, despite having fewer variable sites overall, the average Finn has more low-frequency loss-of-function variants and complete gene knockouts. We then used several well-characterized Finnish population cohorts to study the phenotypic effects of 83 enriched loss-of-function variants across 60 phenotypes in 36,262 Finns. Using a deep set of quantitative traits collected on these cohorts, we show 5 associations (p<5×10??) including splice variants in LPA that lowered plasma lipoprotein(a) levels (P?=?1.5×10?¹¹?). Through accessing the national medical records of these participants, we evaluate the LPA finding via Mendelian randomization and confirm that these splice variants confer protection from cardiovascular disease (OR?=?0.84, P?=?3×10??), demonstrating for the first time the correlation between very low levels of LPA in humans with potential therapeutic implications for cardiovascular diseases. More generally, this study articulates substantial advantages for studying the role of rare variation in complex phenotypes in founder populations like the Finns and by combining a unique population genetic history with data from large population cohorts and centralized research access to National Health Registers.
Related JoVE Video
Association of vitamin D status with arterial blood pressure and hypertension risk: a mendelian randomisation study.
Karani S Vimaleswaran, Alana Cavadino, Diane J Berry, , Rolf Jorde, Aida Karina Dieffenbach, Chen Lu, Alexessander Couto Alves, Hiddo J Lambers Heerspink, Emmi Tikkanen, Joel Eriksson, Andrew Wong, Massimo Mangino, Kathleen A Jablonski, Ilja M Nolte, Denise K Houston, Tarunveer Singh Ahluwalia, Peter J van der Most, Dorota Pasko, Lina Zgaga, Elisabeth Thiering, Veronique Vitart, Ross M Fraser, Jennifer E Huffman, Rudolf A de Boer, Ben Schöttker, Kai-Uwe Saum, Mark I McCarthy, Josée Dupuis, Karl-Heinz Herzig, Sylvain Sebert, Anneli Pouta, Jaana Laitinen, Marcus E Kleber, Gerjan Navis, Mattias Lorentzon, Karen Jameson, Nigel Arden, Jackie A Cooper, Jayshree Acharya, Rebecca Hardy, Olli Raitakari, Samuli Ripatti, Liana K Billings, Jari Lahti, Clive Osmond, Brenda W Penninx, Lars Rejnmark, Kurt K Lohman, Lavinia Paternoster, Ronald P Stolk, Dena G Hernandez, Liisa Byberg, Emil Hagström, Håkan Melhus, Erik Ingelsson, Dan Mellström, Osten Ljunggren, Ioanna Tzoulaki, Stela McLachlan, Evropi Theodoratou, Carla M T Tiesler, Antti Jula, Pau Navarro, Alan F Wright, Ozren Polašek, James F Wilson, Igor Rudan, Veikko Salomaa, Joachim Heinrich, Harry Campbell, Jacqueline F Price, Magnus Karlsson, Lars Lind, Karl Michaëlsson, Stefania Bandinelli, Timothy M Frayling, Catharina A Hartman, Thorkild I A Sørensen, Stephen B Kritchevsky, Bente Lomholt Langdahl, Johan G Eriksson, Jose C Florez, Tim D Spector, Terho Lehtimäki, Diana Kuh, Steve E Humphries, Cyrus Cooper, Claes Ohlsson, Winfried März, Martin H de Borst, Meena Kumari, Mika Kivimäki, Thomas J Wang, Chris Power, Hermann Brenner, Guri Grimnes, Pim van der Harst, Harold Snieder, Aroon D Hingorani, Stefan Pilz, John C Whittaker, Marjo-Riitta Järvelin, Elina Hyppönen.
Lancet Diabetes Endocrinol
PUBLISHED: 06-25-2014
Show Abstract
Hide Abstract
Low plasma 25-hydroxyvitamin D (25[OH]D) concentration is associated with high arterial blood pressure and hypertension risk, but whether this association is causal is unknown. We used a mendelian randomisation approach to test whether 25(OH)D concentration is causally associated with blood pressure and hypertension risk.
Related JoVE Video
Genome-wide association analysis identifies six new loci associated with forced vital capacity.
Daan W Loth, María Soler Artigas, Sina A Gharib, Louise V Wain, Nora Franceschini, Beate Koch, Tess D Pottinger, Albert Vernon Smith, Qing Duan, Chris Oldmeadow, Mi Kyeong Lee, David P Strachan, Alan L James, Jennifer E Huffman, Veronique Vitart, Adaikalavan Ramasamy, Nicholas J Wareham, Jaakko Kaprio, Xin-Qun Wang, Holly Trochet, Mika Kähönen, Claudia Flexeder, Eva Albrecht, Lorna M Lopez, Kim de Jong, Bharat Thyagarajan, Alexessander Couto Alves, Stefan Enroth, Ernst Omenaas, Peter K Joshi, Tove Fall, Ana Viñuela, Lenore J Launer, Laura R Loehr, Myriam Fornage, Guo Li, Jemma B Wilk, Wenbo Tang, Ani Manichaikul, Lies Lahousse, Tamara B Harris, Kari E North, Alicja R Rudnicka, Jennie Hui, Xiangjun Gu, Thomas Lumley, Alan F Wright, Nicholas D Hastie, Susan Campbell, Rajesh Kumar, Isabelle Pin, Robert A Scott, Kirsi H Pietiläinen, Ida Surakka, Yongmei Liu, Elizabeth G Holliday, Holger Schulz, Joachim Heinrich, Gail Davies, Judith M Vonk, Mary Wojczynski, Anneli Pouta, Asa Johansson, Sarah H Wild, Erik Ingelsson, Fernando Rivadeneira, Henry Völzke, Pirro G Hysi, Gudny Eiriksdottir, Alanna C Morrison, Jerome I Rotter, Wei Gao, Dirkje S Postma, Wendy B White, Stephen S Rich, Albert Hofman, Thor Aspelund, David Couper, Lewis J Smith, Bruce M Psaty, Kurt Lohman, Esteban G Burchard, André G Uitterlinden, Melissa Garcia, Bonnie R Joubert, Wendy L McArdle, A Bill Musk, Nadia Hansel, Susan R Heckbert, Lina Zgaga, Joyce B J van Meurs, Pau Navarro, Igor Rudan, Yeon-Mok Oh, Susan Redline, Deborah L Jarvis, Jing Hua Zhao, Taina Rantanen, George T O'Connor, Samuli Ripatti, Rodney J Scott, Stefan Karrasch, Harald Grallert, Nathan C Gaddis, John M Starr, Cisca Wijmenga, Ryan L Minster, David J Lederer, Juha Pekkanen, Ulf Gyllensten, Harry Campbell, Andrew P Morris, Sven Gläser, Christopher J Hammond, Kristin M Burkart, John Beilby, Stephen B Kritchevsky, Vilmundur Gudnason, Dana B Hancock, O Dale Williams, Ozren Polašek, Tatijana Zemunik, Ivana Kolčić, Marcy F Petrini, Matthias Wjst, Woo Jin Kim, David J Porteous, Generation Scotland, Blair H Smith, Anne Viljanen, Markku Heliövaara, John R Attia, Ian Sayers, Regina Hampel, Christian Gieger, Ian J Deary, H Marike Boezen, Anne Newman, Marjo-Riitta Järvelin, James F Wilson, Lars Lind, Bruno H Stricker, Alexander Teumer, Timothy D Spector, Erik Melén, Marjolein J Peters, Leslie A Lange, R Graham Barr, Ken R Bracke, Fien M Verhamme, Joohon Sung, Pieter S Hiemstra, Patricia A Cassano, Akshay Sood, Caroline Hayward, Josée Dupuis, Ian P Hall, Guy G Brusselle, Martin D Tobin, Stephanie J London.
Nat. Genet.
PUBLISHED: 05-22-2014
Show Abstract
Hide Abstract
Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.
Related JoVE Video
Genome-wide association study of sexual maturation in males and females highlights a role for body mass and menarche loci in male puberty.
Hum. Mol. Genet.
PUBLISHED: 04-25-2014
Show Abstract
Hide Abstract
Little is known about genes regulating male puberty. Further, while many identified pubertal timing variants associate with age at menarche, a late manifestation of puberty, and body mass, little is known about these variants' relationship to pubertal initiation or tempo. To address these questions, we performed genome-wide association meta-analysis in over 11 000 European samples with data on early pubertal traits, male genital and female breast development, measured by the Tanner scale. We report the first genome-wide significant locus for male sexual development upstream of myocardin-like 2 (MKL2) (P = 8.9 × 10(-9)), a menarche locus tagging a developmental pathway linking earlier puberty with reduced pubertal growth (P = 4.6 × 10(-5)) and short adult stature (p = 7.5 × 10(-6)) in both males and females. Furthermore, our results indicate that a proportion of menarche loci are important for pubertal initiation in both sexes. Consistent with epidemiological correlations between increased prepubertal body mass and earlier pubertal timing in girls, body mass index (BMI)-increasing alleles correlated with earlier breast development. In boys, some BMI-increasing alleles associated with earlier, and others with delayed, sexual development; these genetic results mimic the controversy in epidemiological studies, some of which show opposing correlations between prepubertal BMI and male puberty. Our results contribute to our understanding of the pubertal initiation program in both sexes and indicate that although mechanisms regulating pubertal onset in males and females may largely be shared, the relationship between body mass and pubertal timing in boys may be complex and requires further genetic studies.
Related JoVE Video
Towards a molecular systems model of coronary artery disease.
Curr Cardiol Rep
PUBLISHED: 04-19-2014
Show Abstract
Hide Abstract
Coronary artery disease (CAD) is a complex disease driven by myriad interactions of genetics and environmental factors. Traditionally, studies have analyzed only 1 disease factor at a time, providing useful but limited understanding of the underlying etiology. Recent advances in cost-effective and high-throughput technologies, such as single nucleotide polymorphism (SNP) genotyping, exome/genome/RNA sequencing, gene expression microarrays, and metabolomics assays have enabled the collection of millions of data points in many thousands of individuals. In order to make sense of such 'omics' data, effective analytical methods are needed. We review and highlight some of the main results in this area, focusing on integrative approaches that consider multiple modalities simultaneously. Such analyses have the potential to uncover the genetic basis of CAD, produce genomic risk scores (GRS) for disease prediction, disentangle the complex interactions underlying disease, and predict response to treatment.
Related JoVE Video
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Bioinformatics
PUBLISHED: 03-24-2014
Show Abstract
Hide Abstract
A typical genome-wide association study searches for associations between single nucleotide polymorphisms (SNPs) and a univariate phenotype. However, there is a growing interest to investigate associations between genomics data and multivariate phenotypes, for example, in gene expression or metabolomics studies. A common approach is to perform a univariate test between each genotype-phenotype pair, and then to apply a stringent significance cutoff to account for the large number of tests performed. However, this approach has limited ability to uncover dependencies involving multiple variables. Another trend in the current genetics is the investigation of the impact of rare variants on the phenotype, where the standard methods often fail owing to lack of power when the minor allele is present in only a limited number of individuals.
Related JoVE Video
Bayesian latent variable collapsing model for detecting rare variant interaction effect in twin study.
Genet. Epidemiol.
PUBLISHED: 02-28-2014
Show Abstract
Hide Abstract
By analyzing more next-generation sequencing data, researchers have affirmed that rare genetic variants are widespread among populations and likely play an important role in complex phenotypes. Recently, a handful of statistical models have been developed to analyze rare variant (RV) association in different study designs. However, due to the scarce occurrence of minor alleles in data, appropriate statistical methods for detecting RV interaction effects are still difficult to develop. We propose a hierarchical Bayesian latent variable collapsing method (BLVCM), which circumvents the obstacles by parameterizing the signals of RVs with latent variables in a Bayesian framework and is parameterized for twin data. The BLVCM can tackle nonassociated variants, allow both protective and deleterious effects, capture SNP-SNP synergistic effect, provide estimates for the gene level and individual SNP contributions, and can be applied to both independent and various twin designs. We assessed the statistical properties of the BLVCM using simulated data, and found that it achieved better performance in terms of power for interaction effect detection compared to the Granvil and the SKAT. As proof of practical application, the BLVCM was then applied to a twin study analysis of more than 20,000 gene regions to identify significant RVs associated with low-density lipoprotein cholesterol level. The results show that some of the findings are consistent with previous studies, and we identified some novel gene regions with significant SNP-SNP synergistic effects.
Related JoVE Video
Biomarker profiling by nuclear magnetic resonance spectroscopy for the prediction of all-cause mortality: an observational study of 17,345 persons.
PLoS Med.
PUBLISHED: 02-01-2014
Show Abstract
Hide Abstract
Early identification of ambulatory persons at high short-term risk of death could benefit targeted prevention. To identify biomarkers for all-cause mortality and enhance risk prediction, we conducted high-throughput profiling of blood specimens in two large population-based cohorts.
Related JoVE Video
Chromosome X-wide association study identifies Loci for fasting insulin and height and evidence for incomplete dosage compensation.
PLoS Genet.
PUBLISHED: 02-01-2014
Show Abstract
Hide Abstract
The X chromosome (chrX) represents one potential source for the "missing heritability" for complex phenotypes, which thus far has remained underanalyzed in genome-wide association studies (GWAS). Here we demonstrate the benefits of including chrX in GWAS by assessing the contribution of 404,862 chrX SNPs to levels of twelve commonly studied cardiometabolic and anthropometric traits in 19,697 Finnish and Swedish individuals with replication data on 5,032 additional Finns. By using a linear mixed model, we estimate that on average 2.6% of the additive genetic variance in these twelve traits is attributable to chrX, this being in proportion to the number of SNPs in the chromosome. In a chrX-wide association analysis, we identify three novel loci: two for height (rs182838724 near FGF16/ATRX/MAGT1, joint P-value?=?2.71×10(-9), and rs1751138 near ITM2A, P-value?=?3.03×10(-10)) and one for fasting insulin (rs139163435 in Xq23, P-value?=?5.18×10(-9)). Further, we find that effect sizes for variants near ITM2A, a gene implicated in cartilage development, show evidence for a lack of dosage compensation. This observation is further supported by a sex-difference in ITM2A expression in whole blood (P-value?=?0.00251), and is also in agreement with a previous report showing ITM2A escapes from X chromosome inactivation (XCI) in the majority of women. Hence, our results show one of the first links between phenotypic variation in a population sample and an XCI-escaping locus and pinpoint ITM2A as a potential contributor to the sexual dimorphism in height. In conclusion, our study provides a clear motivation for including chrX in large-scale genetic studies of complex diseases and traits.
Related JoVE Video
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
, Anubha Mahajan, Min Jin Go, Weihua Zhang, Jennifer E Below, Kyle J Gaulton, Teresa Ferreira, Momoko Horikoshi, Andrew D Johnson, Maggie C Y Ng, Inga Prokopenko, Danish Saleheen, Xu Wang, Eleftheria Zeggini, Gonçalo R Abecasis, Linda S Adair, Peter Almgren, Mustafa Atalay, Tin Aung, Damiano Baldassarre, Beverley Balkau, Yuqian Bao, Anthony H Barnett, Inês Barroso, Abdul Basit, Latonya F Been, John Beilby, Graeme I Bell, Rafn Benediktsson, Richard N Bergman, Bernhard O Boehm, Eric Boerwinkle, Lori L Bonnycastle, Noel Burtt, Qiuyin Cai, Harry Campbell, Jason Carey, Stéphane Cauchi, Mark Caulfield, Juliana C N Chan, Li-Ching Chang, Tien-Jyun Chang, Yi-Cheng Chang, Guillaume Charpentier, Chien-Hsiun Chen, Han Chen, Yuan-Tsong Chen, Kee-Seng Chia, Manickam Chidambaram, Peter S Chines, Nam H Cho, Young Min Cho, Lee-Ming Chuang, Francis S Collins, Marylin C Cornelis, David J Couper, Andrew T Crenshaw, Rob M Van Dam, John Danesh, Debashish Das, Ulf de Faire, George Dedoussis, Panos Deloukas, Antigone S Dimas, Christian Dina, Alex S Doney, Peter J Donnelly, Mozhgan Dorkhan, Cornelia van Duijn, Josée Dupuis, Sarah Edkins, Paul Elliott, Valur Emilsson, Raimund Erbel, Johan G Eriksson, Jorge Escobedo, Tonu Esko, Elodie Eury, Jose C Florez, Pierre Fontanillas, Nita G Forouhi, Tom Forsén, Caroline Fox, Ross M Fraser, Timothy M Frayling, Philippe Froguel, Philippe Frossard, Yutang Gao, Karl Gertow, Christian Gieger, Bruna Gigante, Harald Grallert, George B Grant, Leif C Grrop, Chrisropher J Groves, Elin Grundberg, Candace Guiducci, Anders Hamsten, Bok-Ghee Han, Kazuo Hara, Neelam Hassanali, Andrew T Hattersley, Caroline Hayward, Asa K Hedman, Christian Herder, Albert Hofman, Oddgeir L Holmen, Kees Hovingh, Astradur B Hreidarsson, Cheng Hu, Frank B Hu, Jennie Hui, Steve E Humphries, Sarah E Hunt, David J Hunter, Kristian Hveem, Zafar I Hydrie, Hiroshi Ikegami, Thomas Illig, Erik Ingelsson, Muhammed Islam, Bo Isomaa, Anne U Jackson, Tazeen Jafar, Alan James, Weiping Jia, Karl-Heinz Jöckel, Anna Jonsson, Jeremy B M Jowett, Takashi Kadowaki, Hyun Min Kang, Stavroula Kanoni, Wen Hong L Kao, Sekar Kathiresan, Norihiro Kato, Prasad Katulanda, Kirkka M Keinanen-Kiukaanniemi, Ann M Kelly, Hassan Khan, Kay-Tee Khaw, Chiea-Chuen Khor, Hyung-Lae Kim, Sangsoo Kim, Young Jin Kim, Leena Kinnunen, Norman Klopp, Augustine Kong, Eeva Korpi-Hyövälti, Sudhir Kowlessur, Peter Kraft, Jasmina Kravic, Malene M Kristensen, S Krithika, Ashish Kumar, Jesus Kumate, Johanna Kuusisto, Soo Heon Kwak, Markku Laakso, Vasiliki Lagou, Timo A Lakka, Claudia Langenberg, Cordelia Langford, Robert Lawrence, Karin Leander, Jen-Mai Lee, Nanette R Lee, Man Li, Xinzhong Li, Yun Li, Junbin Liang, Samuel Liju, Wei-Yen Lim, Lars Lind, Cecilia M Lindgren, Eero Lindholm, Ching-Ti Liu, Jian Jun Liu, Stéphane Lobbens, Jirong Long, Ruth J F Loos, Wei Lu, Jian'an Luan, Valeriya Lyssenko, Ronald C W Ma, Shiro Maeda, Reedik Mägi, Satu Mannisto, David R Matthews, James B Meigs, Olle Melander, Andres Metspalu, Julia Meyer, Ghazala Mirza, Evelin Mihailov, Susanne Moebus, Viswanathan Mohan, Karen L Mohlke, Andrew D Morris, Thomas W Mühleisen, Martina Müller-Nurasyid, Bill Musk, Jiro Nakamura, Eitaro Nakashima, Pau Navarro, Peng-Keat Ng, Alexandra C Nica, Peter M Nilsson, Inger Njølstad, Markus M Nöthen, Keizo Ohnaka, Twee Hee Ong, Katharine R Owen, Colin N A Palmer, James S Pankow, Kyong Soo Park, Melissa Parkin, Sonali Pechlivanis, Nancy L Pedersen, Leena Peltonen, John R B Perry, Annette Peters, Janini M Pinidiyapathirage, Carl G Platou, Simon Potter, Jackie F Price, Lu Qi, Venkatesan Radha, Loukianos Rallidis, Asif Rasheed, Wolfgang Rathman, Rainer Rauramaa, Soumya Raychaudhuri, N William Rayner, Simon D Rees, Emil Rehnberg, Samuli Ripatti, Neil Robertson, Michael Roden, Elizabeth J Rossin, Igor Rudan, Denis Rybin, Timo E Saaristo, Veikko Salomaa, Juha Saltevo, Maria Samuel, Dharambir K Sanghera, Jouko Saramies, James Scott, Laura J Scott, Robert A Scott, Ayellet V Segrè, Joban Sehmi, Bengt Sennblad, Nabi Shah, Sonia Shah, A Samad Shera, Xiao Ou Shu, Alan R Shuldiner, Gunnar Sigurđsson, Eric Sijbrands, Angela Silveira, Xueling Sim, Suthesh Sivapalaratnam, Kerrin S Small, Wing Yee So, Alena Stančáková, Kari Stefansson, Gerald Steinbach, Valgerdur Steinthorsdottir, Kathleen Stirrups, Rona J Strawbridge, Heather M Stringham, Qi Sun, Chen Suo, Ann-Christine Syvänen, Ryoichi Takayanagi, Fumihiko Takeuchi, Wan Ting Tay, Tanya M Teslovich, Barbara Thorand, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Emmi Tikkanen, Joseph Trakalo, Elena Tremoli, Mieke D Trip, Fuu Jen Tsai, Tiinamaija Tuomi, Jaakko Tuomilehto, André G Uitterlinden, Adán Valladares-Salgado, Sailaja Vedantam, Fabrizio Veglia, Benjamin F Voight, Congrong Wang, Nicholas J Wareham, Roman Wennauer, Ananda R Wickremasinghe, Tom Wilsgaard, James F Wilson, Steven Wiltshire, Wendy Winckler, Tien Yin Wong, Andrew R Wood, Jer-Yuarn Wu, Ying Wu, Ken Yamamoto, Toshimasa Yamauchi, Mingyu Yang, Loïc Yengo, Mitsuhiro Yokota, Robin Young, Delilah Zabaneh, Fan Zhang, Rong Zhang, Wei Zheng, Paul Z Zimmet, David Altshuler, Donald W Bowden, Yoon Shin Cho, Nancy J Cox, Miguel Cruz, Craig L Hanis, Jaspal Kooner, Jong-Young Lee, Mark Seielstad, Yik Ying Teo, Michael Boehnke, Esteban J Parra, Jonh C Chambers, E Shyong Tai, Mark I McCarthy, Andrew P Morris.
Nat. Genet.
PUBLISHED: 01-17-2014
Show Abstract
Hide Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
Related JoVE Video
The Challenges of Genome-Wide Interaction Studies: Lessons to Learn from the Analysis of HDL Blood Levels.
PLoS ONE
PUBLISHED: 01-01-2014
Show Abstract
Hide Abstract
Genome-wide association studies (GWAS) have revealed 74 single nucleotide polymorphisms (SNPs) associated with high-density lipoprotein cholesterol (HDL) blood levels. This study is, to our knowledge, the first genome-wide interaction study (GWIS) to identify SNP×SNP interactions associated with HDL levels. We performed a GWIS in the Rotterdam Study (RS) cohort I (RS-I) using the GLIDE tool which leverages the massively parallel computing power of Graphics Processing Units (GPUs) to perform linear regression on all genome-wide pairs of SNPs. By performing a meta-analysis together with Rotterdam Study cohorts II and III (RS-II and RS-III), we were able to filter 181 interaction terms with a p-value<1 · 10-8 that replicated in the two independent cohorts. We were not able to replicate any of these interaction term in the AGES, ARIC, CHS, ERF, FHS and NFBC-66 cohorts (Ntotal?=?30,011) when adjusting for multiple testing. Our GWIS resulted in the consistent finding of a possible interaction between rs774801 in ARMC8 (ENSG00000114098) and rs12442098 in SPATA8 (ENSG00000185594) being associated with HDL levels. However, p-values do not reach the preset Bonferroni correction of the p-values. Our study suggest that even for highly genetically determined traits such as HDL the sample sizes needed to detect SNP×SNP interactions are large and the 2-step filtering approaches do not yield a solution. Here we present our analysis plan and our reservations concerning GWIS.
Related JoVE Video
Re-sequencing expands our understanding of the phenotypic impact of variants at GWAS loci.
PLoS Genet.
PUBLISHED: 01-01-2014
Show Abstract
Hide Abstract
Genome-wide association studies (GWAS) have identified >500 common variants associated with quantitative metabolic traits, but in aggregate such variants explain at most 20-30% of the heritable component of population variation in these traits. To further investigate the impact of genotypic variation on metabolic traits, we conducted re-sequencing studies in >6,000 members of a Finnish population cohort (The Northern Finland Birth Cohort of 1966 [NFBC]) and a type 2 diabetes case-control sample (The Finland-United States Investigation of NIDDM Genetics [FUSION] study). By sequencing the coding sequence and 5' and 3' untranslated regions of 78 genes at 17 GWAS loci associated with one or more of six metabolic traits (serum levels of fasting HDL-C, LDL-C, total cholesterol, triglycerides, plasma glucose, and insulin), and conducting both single-variant and gene-level association tests, we obtained a more complete understanding of phenotype-genotype associations at eight of these loci. At all eight of these loci, the identification of new associations provides significant evidence for multiple genetic signals to one or more phenotypes, and at two loci, in the genes ABCA1 and CETP, we found significant gene-level evidence of association to non-synonymous variants with MAF<1%. Additionally, two potentially deleterious variants that demonstrated significant associations (rs138726309, a missense variant in G6PC2, and rs28933094, a missense variant in LIPC) were considerably more common in these Finnish samples than in European reference populations, supporting our prior hypothesis that deleterious variants could attain high frequencies in this isolated population, likely due to the effects of population bottlenecks. Our results highlight the value of large, well-phenotyped samples for rare-variant association analysis, and the challenge of evaluating the phenotypic impact of such variants.
Related JoVE Video
High risk population isolate reveals low frequency variants predisposing to intracranial aneurysms.
PLoS Genet.
PUBLISHED: 01-01-2014
Show Abstract
Hide Abstract
3% of the population develops saccular intracranial aneurysms (sIAs), a complex trait, with a sporadic and a familial form. Subarachnoid hemorrhage from sIA (sIA-SAH) is a devastating form of stroke. Certain rare genetic variants are enriched in the Finns, a population isolate with a small founder population and bottleneck events. As the sIA-SAH incidence in Finland is >2× increased, such variants may associate with sIA in the Finnish population. We tested 9.4 million variants for association in 760 Finnish sIA patients (enriched for familial sIA), and in 2,513 matched controls with case-control status and with the number of sIAs. The most promising loci (p<5E-6) were replicated in 858 Finnish sIA patients and 4,048 controls. The frequencies and effect sizes of the replicated variants were compared to a continental European population using 717 Dutch cases and 3,004 controls. We discovered four new high-risk loci with low frequency lead variants. Three were associated with the case-control status: 2q23.3 (MAF 2.1%, OR 1.89, p 1.42×10-9); 5q31.3 (MAF 2.7%, OR 1.66, p 3.17×10-8); 6q24.2 (MAF 2.6%, OR 1.87, p 1.87×10-11) and one with the number of sIAs: 7p22.1 (MAF 3.3%, RR 1.59, p 6.08×-9). Two of the associations (5q31.3, 6q24.2) replicated in the Dutch sample. The 7p22.1 locus was strongly differentiated; the lead variant was more frequent in Finland (4.6%) than in the Netherlands (0.3%). Additionally, we replicated a previously inconclusive locus on 2q33.1 in all samples tested (OR 1.27, p 1.87×10-12). The five loci explain 2.1% of the sIA heritability in Finland, and may relate to, but not explain, the increased incidence of sIA-SAH in Finland. This study illustrates the utility of population isolates, familial enrichment, dense genotype imputation and alternate phenotyping in search for variants associated with complex diseases.
Related JoVE Video
Effect of Catechol-o-methyltransferase-gene (COMT) Variants on Experimental and Acute Postoperative Pain in 1,000 Women undergoing Surgery for Breast Cancer.
Anesthesiology
PUBLISHED: 12-18-2013
Show Abstract
Hide Abstract
Catechol-O-methyltransferase (COMT) metabolizes catecholamines in different tissues. Polymorphisms in COMT gene can attenuate COMT activity and increase sensitivity to pain. Human studies exploring the effect of COMT polymorphisms on pain sensitivity have mostly included small, heterogeneous samples and have ignored several important single nucleotide polymorphisms (SNPs). This study examines the effect of COMT polymorphisms on experimental and postoperative pain phenotypes in a large ethnically homogeneous female patient cohort.
Related JoVE Video
Pain in 1,000 women treated for breast cancer: a prospective study of pain sensitivity and postoperative pain.
Anesthesiology
PUBLISHED: 12-18-2013
Show Abstract
Hide Abstract
This article describes the methods and results of the early part (experimental pain tests and postoperative analgesia) of a study that assesses genetic and other factors related to acute pain and persistent pain after treatment of breast cancer in a prospective cohort of 1,000 women.
Related JoVE Video
Discovery and refinement of loci associated with lipid levels.
, Cristen J Willer, Ellen M Schmidt, Sebanti Sengupta, Gina M Peloso, Stefan Gustafsson, Stavroula Kanoni, Andrea Ganna, Jin Chen, Martin L Buchkovich, Samia Mora, Jacques S Beckmann, Jennifer L Bragg-Gresham, Hsing-Yi Chang, Ayse Demirkan, Heleen M den Hertog, Ron Do, Louise A Donnelly, Georg B Ehret, Tonu Esko, Mary F Feitosa, Teresa Ferreira, Krista Fischer, Pierre Fontanillas, Ross M Fraser, Daniel F Freitag, Deepti Gurdasani, Kauko Heikkilä, Elina Hyppönen, Aaron Isaacs, Anne U Jackson, Asa Johansson, Toby Johnson, Marika Kaakinen, Johannes Kettunen, Marcus E Kleber, Xiaohui Li, Jian'an Luan, Leo-Pekka Lyytikäinen, Patrik K E Magnusson, Massimo Mangino, Evelin Mihailov, May E Montasser, Martina Müller-Nurasyid, Ilja M Nolte, Jeffrey R O'Connell, Cameron D Palmer, Markus Perola, Ann-Kristin Petersen, Serena Sanna, Richa Saxena, Susan K Service, Sonia Shah, Dmitry Shungin, Carlo Sidore, Ci Song, Rona J Strawbridge, Ida Surakka, Toshiko Tanaka, Tanya M Teslovich, Gudmar Thorleifsson, Evita G van den Herik, Benjamin F Voight, Kelly A Volcik, Lindsay L Waite, Andrew Wong, Ying Wu, Weihua Zhang, Devin Absher, Gershim Asiki, Inês Barroso, Latonya F Been, Jennifer L Bolton, Lori L Bonnycastle, Paolo Brambilla, Mary S Burnett, Giancarlo Cesana, Maria Dimitriou, Alex S F Doney, Angela Döring, Paul Elliott, Stephen E Epstein, Gudmundur Ingi Eyjolfsson, Bruna Gigante, Mark O Goodarzi, Harald Grallert, Martha L Gravito, Christopher J Groves, Göran Hallmans, Anna-Liisa Hartikainen, Caroline Hayward, Dena Hernandez, Andrew A Hicks, Hilma Holm, Yi-Jen Hung, Thomas Illig, Michelle R Jones, Pontiano Kaleebu, John J P Kastelein, Kay-Tee Khaw, Eric Kim, Norman Klopp, Pirjo Komulainen, Meena Kumari, Claudia Langenberg, Terho Lehtimäki, Shih-Yi Lin, Jaana Lindström, Ruth J F Loos, François Mach, Wendy L McArdle, Christa Meisinger, Braxton D Mitchell, Gabrielle Müller, Ramaiah Nagaraja, Narisu Narisu, Tuomo V M Nieminen, Rebecca N Nsubuga, Isleifur Olafsson, Ken K Ong, Aarno Palotie, Theodore Papamarkou, Cristina Pomilla, Anneli Pouta, Daniel J Rader, Muredach P Reilly, Paul M Ridker, Fernando Rivadeneira, Igor Rudan, Aimo Ruokonen, Nilesh Samani, Hubert Scharnagl, Janet Seeley, Kaisa Silander, Alena Stančáková, Kathleen Stirrups, Amy J Swift, Laurence Tiret, André G Uitterlinden, L Joost van Pelt, Sailaja Vedantam, Nicholas Wainwright, Cisca Wijmenga, Sarah H Wild, Gonneke Willemsen, Tom Wilsgaard, James F Wilson, Elizabeth H Young, Jing Hua Zhao, Linda S Adair, Dominique Arveiler, Themistocles L Assimes, Stefania Bandinelli, Franklyn Bennett, Murielle Bochud, Bernhard O Boehm, Dorret I Boomsma, Ingrid B Borecki, Stefan R Bornstein, Pascal Bovet, Michel Burnier, Harry Campbell, Aravinda Chakravarti, John C Chambers, Yii-Der Ida Chen, Francis S Collins, Richard S Cooper, John Danesh, George Dedoussis, Ulf de Faire, Alan B Feranil, Jean Ferrières, Luigi Ferrucci, Nelson B Freimer, Christian Gieger, Leif C Groop, Vilmundur Gudnason, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Aroon Hingorani, Joel N Hirschhorn, Albert Hofman, G Kees Hovingh, Chao Agnes Hsiung, Steve E Humphries, Steven C Hunt, Kristian Hveem, Carlos Iribarren, Marjo-Riitta Järvelin, Antti Jula, Mika Kähönen, Jaakko Kaprio, Antero Kesäniemi, Mika Kivimäki, Jaspal S Kooner, Peter J Koudstaal, Ronald M Krauss, Diana Kuh, Johanna Kuusisto, Kirsten O Kyvik, Markku Laakso, Timo A Lakka, Lars Lind, Cecilia M Lindgren, Nicholas G Martin, Winfried März, Mark I McCarthy, Colin A McKenzie, Pierre Meneton, Andres Metspalu, Leena Moilanen, Andrew D Morris, Patricia B Munroe, Inger Njølstad, Nancy L Pedersen, Chris Power, Peter P Pramstaller, Jackie F Price, Bruce M Psaty, Thomas Quertermous, Rainer Rauramaa, Danish Saleheen, Veikko Salomaa, Dharambir K Sanghera, Jouko Saramies, Peter E H Schwarz, Wayne H-H Sheu, Alan R Shuldiner, Agneta Siegbahn, Tim D Spector, Kari Stefansson, David P Strachan, Bamidele O Tayo, Elena Tremoli, Jaakko Tuomilehto, Matti Uusitupa, Cornelia M van Duijn, Peter Vollenweider, Lars Wallentin, Nicholas J Wareham, John B Whitfield, Bruce H R Wolffenbuttel, José M Ordovás, Eric Boerwinkle, Colin N A Palmer, Unnur Thorsteinsdottir, Daniel I Chasman, Jerome I Rotter, Paul W Franks, Samuli Ripatti, L Adrienne Cupples, Manjinder S Sandhu, Stephen S Rich, Michael Boehnke, Panos Deloukas, Sekar Kathiresan, Karen L Mohlke, Erik Ingelsson, Gonçalo R Abecasis.
Nat. Genet.
PUBLISHED: 09-13-2013
Show Abstract
Hide Abstract
Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.
Related JoVE Video
Systematic identification of trans eQTLs as putative drivers of known disease associations.
Nat. Genet.
PUBLISHED: 08-14-2013
Show Abstract
Hide Abstract
Identifying the downstream effects of disease-associated SNPs is challenging. To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated trans eQTLs for 233 SNPs (reflecting 103 independent loci) that were previously associated with complex traits at genome-wide significance. Some of these SNPs affect multiple genes in trans that are known to be altered in individuals with disease: rs4917014, previously associated with systemic lupus erythematosus (SLE), altered gene expression of C1QB and five type I interferon response genes, both hallmarks of SLE. DeepSAGE RNA sequencing showed that rs4917014 strongly alters the 3 UTR levels of IKZF1 in cis, and chromatin immunoprecipitation and sequencing analysis of the trans-regulated genes implicated IKZF1 as the causal gene. Variants associated with cholesterol metabolism and type 1 diabetes showed similar phenomena, indicating that large-scale eQTL mapping provides insight into the downstream effects of many trait-associated variants.
Related JoVE Video
Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide.
Hypertension
PUBLISHED: 06-10-2013
Show Abstract
Hide Abstract
To identify novel genes influencing blood pressure response to thiazide diuretic therapy for hypertension, we conducted genome-wide association meta-analyses of ?1.1 million single-nucleotide polymorphisms in a combined sample of 424 European Americans with primary hypertension treated with hydrochlorothiazide from the Pharmacogenomic Evaluation of Antihypertensive Responses study (n=228) and the Genetic Epidemiology of Responses to Antihypertensive study (n=196). Polymorphisms associated with blood pressure response at P<10(-5) were tested for replication of the associations in independent samples of hydrochlorothiazide-treated European hypertensives. The rs16960228 polymorphism in protein kinase C, ? replicated for same-direction association with diastolic blood pressure response in the Nordic Diltiazem study (n=420) and the Genetics of Drug Responsiveness in Essential Hypertension study (n=206), and the combined 4-study meta-analysis P value achieved genome-wide significance (P=3.3 × 10(-8)). Systolic or diastolic blood pressure responses were consistently greater in carriers of the rs16960228 A allele than in GG homozygotes (>4/4 mm Hg) across study samples. The rs2273359 polymorphism in the GNAS-EDN3 region also replicated for same-direction association with systolic blood pressure response in the Nordic Diltiazem study, and the combined 3-study meta-analysis P value approached genome-wide significance (P=5.5 × 10(-8)). The findings document clinically important effects of genetic variation at novel loci on blood pressure response to a thiazide diuretic, which may be a basis for individualization of antihypertensive drug therapy and identification of new drug targets.
Related JoVE Video
The role of adiposity in cardiometabolic traits: a mendelian randomization analysis.
Tove Fall, Sara Hägg, Reedik Mägi, Alexander Ploner, Krista Fischer, Momoko Horikoshi, Antti-Pekka Sarin, Gudmar Thorleifsson, Claes Ladenvall, Mart Kals, Maris Kuningas, Harmen H M Draisma, Janina S Ried, Natalie R Van Zuydam, Ville Huikari, Massimo Mangino, Emily Sonestedt, Beben Benyamin, Christopher P Nelson, Natalia V Rivera, Kati Kristiansson, Huei-Yi Shen, Aki S Havulinna, Abbas Dehghan, Louise A Donnelly, Marika Kaakinen, Marja-Liisa Nuotio, Neil Robertson, Renée F A G de Bruijn, M Arfan Ikram, Najaf Amin, Anthony J Balmforth, Peter S Braund, Alexander S F Doney, Angela Döring, Paul Elliott, Tonu Esko, Oscar H Franco, Solveig Gretarsdottir, Anna-Liisa Hartikainen, Kauko Heikkilä, Karl-Heinz Herzig, Hilma Holm, Jouke Jan Hottenga, Elina Hyppönen, Thomas Illig, Aaron Isaacs, Bo Isomaa, Lennart C Karssen, Johannes Kettunen, Wolfgang Koenig, Kari Kuulasmaa, Tiina Laatikainen, Jaana Laitinen, Cecilia Lindgren, Valeriya Lyssenko, Esa Läärä, Nigel W Rayner, Satu Mannisto, Anneli Pouta, Wolfgang Rathmann, Fernando Rivadeneira, Aimo Ruokonen, Markku J Savolainen, Eric J G Sijbrands, Kerrin S Small, Jan H Smit, Valgerdur Steinthorsdottir, Ann-Christine Syvänen, Anja Taanila, Martin D Tobin, André G Uitterlinden, Sara M Willems, Gonneke Willemsen, Jacqueline Witteman, Markus Perola, Alun Evans, Jean Ferrières, Jarmo Virtamo, Frank Kee, David-Alexandre Trégouët, Dominique Arveiler, Philippe Amouyel, Marco M Ferrario, Paolo Brambilla, Alistair S Hall, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, John B Whitfield, Antti Jula, Paul Knekt, Ben Oostra, Cornelia M van Duijn, Brenda W J H Penninx, George Davey Smith, Jaakko Kaprio, Nilesh J Samani, Christian Gieger, Annette Peters, H Erich Wichmann, Dorret I Boomsma, Eco J C de Geus, Tiinamaija Tuomi, Chris Power, Christopher J Hammond, Tim D Spector, Lars Lind, Marju Orho-Melander, Colin Neil Alexander Palmer, Andrew D Morris, Leif Groop, Marjo-Riitta Järvelin, Veikko Salomaa, Erkki Vartiainen, Albert Hofman, Samuli Ripatti, Andres Metspalu, Unnur Thorsteinsdottir, Kari Stefansson, Nancy L Pedersen, Mark I McCarthy, Erik Ingelsson, Inga Prokopenko, .
PLoS Med.
PUBLISHED: 06-01-2013
Show Abstract
Hide Abstract
The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach.
Related JoVE Video
Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.
Joshua C Randall, Thomas W Winkler, Zoltan Kutalik, Sonja I Berndt, Anne U Jackson, Keri L Monda, Tuomas O Kilpeläinen, Tonu Esko, Reedik Mägi, Shengxu Li, Tsegaselassie Workalemahu, Mary F Feitosa, Damien C Croteau-Chonka, Felix R Day, Tove Fall, Teresa Ferreira, Stefan Gustafsson, Adam E Locke, Iain Mathieson, André Scherag, Sailaja Vedantam, Andrew R Wood, Liming Liang, Valgerdur Steinthorsdottir, Gudmar Thorleifsson, Emmanouil T Dermitzakis, Antigone S Dimas, Fredrik Karpe, Josine L Min, George Nicholson, Deborah J Clegg, Thomas Person, Jon P Krohn, Sabrina Bauer, Christa Buechler, Kristina Eisinger, , Amélie Bonnefond, Philippe Froguel, Jouke-Jan Hottenga, Inga Prokopenko, Lindsay L Waite, Tamara B Harris, Albert Vernon Smith, Alan R Shuldiner, Wendy L McArdle, Mark J Caulfield, Patricia B Munroe, Henrik Grönberg, Yii-Der Ida Chen, Guo Li, Jacques S Beckmann, Toby Johnson, Unnur Thorsteinsdottir, Maris Teder-Laving, Kay-Tee Khaw, Nicholas J Wareham, Jing Hua Zhao, Najaf Amin, Ben A Oostra, Aldi T Kraja, Michael A Province, L Adrienne Cupples, Nancy L Heard-Costa, Jaakko Kaprio, Samuli Ripatti, Ida Surakka, Francis S Collins, Jouko Saramies, Jaakko Tuomilehto, Antti Jula, Veikko Salomaa, Jeanette Erdmann, Christian Hengstenberg, Christina Loley, Heribert Schunkert, Claudia Lamina, H Erich Wichmann, Eva Albrecht, Christian Gieger, Andrew A Hicks, Asa Johansson, Peter P Pramstaller, Sekar Kathiresan, Elizabeth K Speliotes, Brenda Penninx, Anna-Liisa Hartikainen, Marjo-Riitta Järvelin, Ulf Gyllensten, Dorret I Boomsma, Harry Campbell, James F Wilson, Stephen J Chanock, Martin Farrall, Anuj Goel, Carolina Medina-Gomez, Fernando Rivadeneira, Karol Estrada, André G Uitterlinden, Albert Hofman, M Carola Zillikens, Martin den Heijer, Lambertus A Kiemeney, Andrea Maschio, Per Hall, Jonathan Tyrer, Alexander Teumer, Henry Völzke, Peter Kovacs, Anke Tönjes, Massimo Mangino, Tim D Spector, Caroline Hayward, Igor Rudan, Alistair S Hall, Nilesh J Samani, Antony Paul Attwood, Jennifer G Sambrook, Joseph Hung, Lyle J Palmer, Marja-Liisa Lokki, Juha Sinisalo, Gabrielle Boucher, Heikki Huikuri, Mattias Lorentzon, Claes Ohlsson, Niina Eklund, Johan G Eriksson, Cristina Barlassina, Carlo Rivolta, Ilja M Nolte, Harold Snieder, Melanie M van der Klauw, Jana V van Vliet-Ostaptchouk, Pablo V Gejman, Jianxin Shi, Kevin B Jacobs, Zhaoming Wang, Stephan J L Bakker, Irene Mateo Leach, Gerjan Navis, Pim van der Harst, Nicholas G Martin, Sarah E Medland, Grant W Montgomery, Jian Yang, Daniel I Chasman, Paul M Ridker, Lynda M Rose, Terho Lehtimäki, Olli Raitakari, Devin Absher, Carlos Iribarren, Hanneke Basart, Kees G Hovingh, Elina Hyppönen, Chris Power, Denise Anderson, John P Beilby, Jennie Hui, Jennifer Jolley, Hendrik Sager, Stefan R Bornstein, Peter E H Schwarz, Kati Kristiansson, Markus Perola, Jaana Lindström, Amy J Swift, Matti Uusitupa, Mustafa Atalay, Timo A Lakka, Rainer Rauramaa, Jennifer L Bolton, Gerry Fowkes, Ross M Fraser, Jackie F Price, Krista Fischer, Kaarel Krjutå Kov, Andres Metspalu, Evelin Mihailov, Claudia Langenberg, Jian'an Luan, Ken K Ong, Peter S Chines, Sirkka M Keinanen-Kiukaanniemi, Timo E Saaristo, Sarah Edkins, Paul W Franks, Göran Hallmans, Dmitry Shungin, Andrew David Morris, Colin N A Palmer, Raimund Erbel, Susanne Moebus, Markus M Nöthen, Sonali Pechlivanis, Kristian Hveem, Narisu Narisu, Anders Hamsten, Steve E Humphries, Rona J Strawbridge, Elena Tremoli, Harald Grallert, Barbara Thorand, Thomas Illig, Wolfgang Koenig, Martina Müller-Nurasyid, Annette Peters, Bernhard O Boehm, Marcus E Kleber, Winfried März, Bernhard R Winkelmann, Johanna Kuusisto, Markku Laakso, Dominique Arveiler, Giancarlo Cesana, Kari Kuulasmaa, Jarmo Virtamo, John W G Yarnell, Diana Kuh, Andrew Wong, Lars Lind, Ulf de Faire, Bruna Gigante, Patrik K E Magnusson, Nancy L Pedersen, George Dedoussis, Maria Dimitriou, Genovefa Kolovou, Stavroula Kanoni, Kathleen Stirrups, Lori L Bonnycastle, Inger Njølstad, Tom Wilsgaard, Andrea Ganna, Emil Rehnberg, Aroon Hingorani, Mika Kivimäki, Meena Kumari, Themistocles L Assimes, Inês Barroso, Michael Boehnke, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Timothy Frayling, Leif C Groop, Talin Haritunians, David Hunter, Erik Ingelsson, Robert Kaplan, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Gonçalo R Abecasis, Mark I McCarthy, Joel N Hirschhorn, Lu Qi, Ruth J F Loos, Cecilia M Lindgren, Kari E North, Iris M Heid.
PLoS Genet.
PUBLISHED: 06-01-2013
Show Abstract
Hide Abstract
Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR<5%), including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were genome-wide significant in women (P<5×10(-8)), but not in men. Sex-differences were apparent only for waist phenotypes, not for height, weight, BMI, or hip circumference. Moreover, we found no evidence for genetic effects with opposite directions in men versus women. The PPARG locus is of specific interest due to its role in diabetes genetics and therapy. Our results demonstrate the value of sex-specific GWAS to unravel the sexually dimorphic genetic underpinning of complex traits.
Related JoVE Video
GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.
Cornelius A Rietveld, Sarah E Medland, Jaime Derringer, Jian Yang, Tonu Esko, Nicolas W Martin, Harm-Jan Westra, Konstantin Shakhbazov, Abdel Abdellaoui, Arpana Agrawal, Eva Albrecht, Behrooz Z Alizadeh, Najaf Amin, John Barnard, Sebastian E Baumeister, Kelly S Benke, Lawrence F Bielak, Jeffrey A Boatman, Patricia A Boyle, Gail Davies, Christiaan de Leeuw, Niina Eklund, Daniel S Evans, Rudolf Ferhmann, Krista Fischer, Christian Gieger, Håkon K Gjessing, Sara Hägg, Jennifer R Harris, Caroline Hayward, Christina Holzapfel, Carla A Ibrahim-Verbaas, Erik Ingelsson, Bo Jacobsson, Peter K Joshi, Astanand Jugessur, Marika Kaakinen, Stavroula Kanoni, Juha Karjalainen, Ivana Kolčić, Kati Kristiansson, Zoltan Kutalik, Jari Lahti, Sang H Lee, Peng Lin, Penelope A Lind, Yongmei Liu, Kurt Lohman, Marisa Loitfelder, George McMahon, Pedro Marques Vidal, Osorio Meirelles, Lili Milani, Ronny Myhre, Marja-Liisa Nuotio, Christopher J Oldmeadow, Katja E Petrovic, Wouter J Peyrot, Ozren Polašek, Lydia Quaye, Eva Reinmaa, John P Rice, Thais S Rizzi, Helena Schmidt, Reinhold Schmidt, Albert V Smith, Jennifer A Smith, Toshiko Tanaka, Antonio Terracciano, Matthijs J H M van der Loos, Veronique Vitart, Henry Völzke, Jürgen Wellmann, Lei Yu, Wei Zhao, Jüri Allik, John R Attia, Stefania Bandinelli, François Bastardot, Jonathan Beauchamp, David A Bennett, Klaus Berger, Laura J Bierut, Dorret I Boomsma, Ute Bültmann, Harry Campbell, Christopher F Chabris, Lynn Cherkas, Mina K Chung, Francesco Cucca, Mariza de Andrade, Philip L De Jager, Jan-Emmanuel De Neve, Ian J Deary, George V Dedoussis, Panos Deloukas, Maria Dimitriou, Guðný Eiríksdóttir, Martin F Elderson, Johan G Eriksson, David M Evans, Jessica D Faul, Luigi Ferrucci, Melissa E Garcia, Henrik Grönberg, Vilmundur Guðnason, Per Hall, Juliette M Harris, Tamara B Harris, Nicholas D Hastie, Andrew C Heath, Dena G Hernandez, Wolfgang Hoffmann, Adriaan Hofman, Rolf Holle, Elizabeth G Holliday, Jouke-Jan Hottenga, William G Iacono, Thomas Illig, Marjo-Riitta Järvelin, Mika Kähönen, Jaakko Kaprio, Robert M Kirkpatrick, Matthew Kowgier, Antti Latvala, Lenore J Launer, Debbie A Lawlor, Terho Lehtimäki, Jingmei Li, Paul Lichtenstein, Peter Lichtner, David C Liewald, Pamela A Madden, Patrik K E Magnusson, Tomi E Mäkinen, Marco Masala, Matt McGue, Andres Metspalu, Andreas Mielck, Michael B Miller, Grant W Montgomery, Sutapa Mukherjee, Dale R Nyholt, Ben A Oostra, Lyle J Palmer, Aarno Palotie, Brenda W J H Penninx, Markus Perola, Patricia A Peyser, Martin Preisig, Katri Räikkönen, Olli T Raitakari, Anu Realo, Susan M Ring, Samuli Ripatti, Fernando Rivadeneira, Igor Rudan, Aldo Rustichini, Veikko Salomaa, Antti-Pekka Sarin, David Schlessinger, Rodney J Scott, Harold Snieder, Beate St Pourcain, John M Starr, Jae Hoon Sul, Ida Surakka, Rauli Svento, Alexander Teumer, , Henning Tiemeier, Frank J A van Rooij, David R Van Wagoner, Erkki Vartiainen, Jorma Viikari, Peter Vollenweider, Judith M Vonk, Gérard Waeber, David R Weir, H-Erich Wichmann, Elisabeth Widén, Gonneke Willemsen, James F Wilson, Alan F Wright, Dalton Conley, George Davey-Smith, Lude Franke, Patrick J F Groenen, Albert Hofman, Magnus Johannesson, Sharon L R Kardia, Robert F Krueger, David Laibson, Nicholas G Martin, Michelle N Meyer, Danielle Posthuma, A Roy Thurik, Nicholas J Timpson, André G Uitterlinden, Cornelia M van Duijn, Peter M Visscher, Daniel J Benjamin, David Cesarini, Philipp D Koellinger.
Science
PUBLISHED: 05-30-2013
Show Abstract
Hide Abstract
A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ? 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ?2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.
Related JoVE Video
Deletion of TOP3?, a component of FMRP-containing mRNPs, contributes to neurodevelopmental disorders.
Nat. Neurosci.
PUBLISHED: 05-09-2013
Show Abstract
Hide Abstract
Implicating particular genes in the generation of complex brain and behavior phenotypes requires multiple lines of evidence. The rarity of most high-impact genetic variants typically precludes the possibility of accruing statistical evidence that they are associated with a given trait. We found that the enrichment of a rare chromosome 22q11.22 deletion in a recently expanded Northern Finnish sub-isolate enabled the detection of association between TOP3B and both schizophrenia and cognitive impairment. Biochemical analysis of TOP3? revealed that this topoisomerase was a component of cytosolic messenger ribonucleoproteins (mRNPs) and was catalytically active on RNA. The recruitment of TOP3? to mRNPs was independent of RNA cis-elements and was coupled to the co-recruitment of FMRP, the disease gene product in fragile X mental retardation syndrome. Our results indicate a previously unknown role for TOP3? in mRNA metabolism and suggest that it is involved in neurodevelopmental disorders.
Related JoVE Video
Related JoVE Video
Genetic risk prediction and a 2-stage risk screening strategy for coronary heart disease.
Arterioscler. Thromb. Vasc. Biol.
PUBLISHED: 04-18-2013
Show Abstract
Hide Abstract
Genome-wide association studies have identified several genetic variants associated with coronary heart disease (CHD). The aim of this study was to evaluate the genetic risk discrimination and reclassification and apply the results for a 2-stage population risk screening strategy for CHD.
Related JoVE Video
Identification of seven loci affecting mean telomere length and their association with disease.
Veryan Codd, Christopher P Nelson, Eva Albrecht, Massimo Mangino, Joris Deelen, Jessica L Buxton, Jouke Jan Hottenga, Krista Fischer, Tonu Esko, Ida Surakka, Linda Broer, Dale R Nyholt, Irene Mateo Leach, Perttu Salo, Sara Hägg, Mary K Matthews, Jutta Palmen, Giuseppe D Norata, Paul F O'Reilly, Danish Saleheen, Najaf Amin, Anthony J Balmforth, Marian Beekman, Rudolf A de Boer, Stefan Böhringer, Peter S Braund, Paul R Burton, Anton J M de Craen, Matthew Denniff, Yanbin Dong, Konstantinos Douroudis, Elena Dubinina, Johan G Eriksson, Katia Garlaschelli, Dehuang Guo, Anna-Liisa Hartikainen, Anjali K Henders, Jeanine J Houwing-Duistermaat, Laura Kananen, Lennart C Karssen, Johannes Kettunen, Norman Klopp, Vasiliki Lagou, Elisabeth M van Leeuwen, Pamela A Madden, Reedik Mägi, Patrik K E Magnusson, Satu Mannisto, Mark I McCarthy, Sarah E Medland, Evelin Mihailov, Grant W Montgomery, Ben A Oostra, Aarno Palotie, Annette Peters, Helen Pollard, Anneli Pouta, Inga Prokopenko, Samuli Ripatti, Veikko Salomaa, H Eka D Suchiman, Ana M Valdes, Niek Verweij, Ana Viñuela, Xiaoling Wang, H-Erich Wichmann, Elisabeth Widén, Gonneke Willemsen, Margaret J Wright, Kai Xia, Xiangjun Xiao, Dirk J van Veldhuisen, Alberico L Catapano, Martin D Tobin, Alistair S Hall, Alexandra I F Blakemore, Wiek H van Gilst, Haidong Zhu, Cardiogram Consortium, Jeanette Erdmann, Muredach P Reilly, Sekar Kathiresan, Heribert Schunkert, Philippa J Talmud, Nancy L Pedersen, Markus Perola, Willem Ouwehand, Jaakko Kaprio, Nicholas G Martin, Cornelia M van Duijn, Iiris Hovatta, Christian Gieger, Andres Metspalu, Dorret I Boomsma, Marjo-Riitta Järvelin, P Eline Slagboom, John R Thompson, Tim D Spector, Pim van der Harst, Nilesh J Samani.
Nat. Genet.
PUBLISHED: 03-29-2013
Show Abstract
Hide Abstract
Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci, including five new loci, associated with mean LTL (P < 5 × 10(-8)). Five of the loci contain candidate genes (TERC, TERT, NAF1, OBFC1 and RTEL1) that are known to be involved in telomere biology. Lead SNPs at two loci (TERC and TERT) associate with several cancers and other diseases, including idiopathic pulmonary fibrosis. Moreover, a genetic risk score analysis combining lead variants at all 7 loci in 22,233 coronary artery disease cases and 64,762 controls showed an association of the alleles associated with shorter LTL with increased risk of coronary artery disease (21% (95% confidence interval, 5-35%) per standard deviation in LTL, P = 0.014). Our findings support a causal role of telomere-length variation in some age-related diseases.
Related JoVE Video
Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.
Sonja I Berndt, Stefan Gustafsson, Reedik Mägi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, Tonu Esko, Tove Fall, Teresa Ferreira, Davide Gentilini, Anne U Jackson, Jian'an Luan, Joshua C Randall, Sailaja Vedantam, Cristen J Willer, Thomas W Winkler, Andrew R Wood, Tsegaselassie Workalemahu, Yi-Juan Hu, Sang Hong Lee, Liming Liang, Dan-Yu Lin, Josine L Min, Benjamin M Neale, Gudmar Thorleifsson, Jian Yang, Eva Albrecht, Najaf Amin, Jennifer L Bragg-Gresham, Gemma Cadby, Martin den Heijer, Niina Eklund, Krista Fischer, Anuj Goel, Jouke-Jan Hottenga, Jennifer E Huffman, Ivonne Jarick, Asa Johansson, Toby Johnson, Stavroula Kanoni, Marcus E Kleber, Inke R König, Kati Kristiansson, Zoltan Kutalik, Claudia Lamina, Cécile Lecoeur, Guo Li, Massimo Mangino, Wendy L McArdle, Carolina Medina-Gomez, Martina Müller-Nurasyid, Julius S Ngwa, Ilja M Nolte, Lavinia Paternoster, Sonali Pechlivanis, Markus Perola, Marjolein J Peters, Michael Preuss, Lynda M Rose, Jianxin Shi, Dmitry Shungin, Albert Vernon Smith, Rona J Strawbridge, Ida Surakka, Alexander Teumer, Mieke D Trip, Jonathan Tyrer, Jana V van Vliet-Ostaptchouk, Liesbeth Vandenput, Lindsay L Waite, Jing Hua Zhao, Devin Absher, Folkert W Asselbergs, Mustafa Atalay, Antony P Attwood, Anthony J Balmforth, Hanneke Basart, John Beilby, Lori L Bonnycastle, Paolo Brambilla, Marcel Bruinenberg, Harry Campbell, Daniel I Chasman, Peter S Chines, Francis S Collins, John M Connell, William O Cookson, Ulf de Faire, Femmie de Vegt, Mariano Dei, Maria Dimitriou, Sarah Edkins, Karol Estrada, David M Evans, Martin Farrall, Marco M Ferrario, Jean Ferrières, Lude Franke, Francesca Frau, Pablo V Gejman, Harald Grallert, Henrik Grönberg, Vilmundur Gudnason, Alistair S Hall, Per Hall, Anna-Liisa Hartikainen, Caroline Hayward, Nancy L Heard-Costa, Andrew C Heath, Johannes Hebebrand, Georg Homuth, Frank B Hu, Sarah E Hunt, Elina Hyppönen, Carlos Iribarren, Kevin B Jacobs, John-Olov Jansson, Antti Jula, Mika Kähönen, Sekar Kathiresan, Frank Kee, Kay-Tee Khaw, Mika Kivimäki, Wolfgang Koenig, Aldi T Kraja, Meena Kumari, Kari Kuulasmaa, Johanna Kuusisto, Jaana H Laitinen, Timo A Lakka, Claudia Langenberg, Lenore J Launer, Lars Lind, Jaana Lindström, Jianjun Liu, Antonio Liuzzi, Marja-Liisa Lokki, Mattias Lorentzon, Pamela A Madden, Patrik K Magnusson, Paolo Manunta, Diana Marek, Winfried März, Irene Mateo Leach, Barbara McKnight, Sarah E Medland, Evelin Mihailov, Lili Milani, Grant W Montgomery, Vincent Mooser, Thomas W Mühleisen, Patricia B Munroe, Arthur W Musk, Narisu Narisu, Gerjan Navis, George Nicholson, Ellen A Nohr, Ken K Ong, Ben A Oostra, Colin N A Palmer, Aarno Palotie, John F Peden, Nancy Pedersen, Annette Peters, Ozren Polašek, Anneli Pouta, Peter P Pramstaller, Inga Prokopenko, Carolin Pütter, Aparna Radhakrishnan, Olli Raitakari, Augusto Rendon, Fernando Rivadeneira, Igor Rudan, Timo E Saaristo, Jennifer G Sambrook, Alan R Sanders, Serena Sanna, Jouko Saramies, Sabine Schipf, Stefan Schreiber, Heribert Schunkert, So-Youn Shin, Stefano Signorini, Juha Sinisalo, Boris Skrobek, Nicole Soranzo, Alena Stančáková, Klaus Stark, Jonathan C Stephens, Kathleen Stirrups, Ronald P Stolk, Michael Stumvoll, Amy J Swift, Eirini V Theodoraki, Barbara Thorand, David-Alexandre Trégouët, Elena Tremoli, Melanie M van der Klauw, Joyce B J van Meurs, Sita H Vermeulen, Jorma Viikari, Jarmo Virtamo, Veronique Vitart, Gérard Waeber, Zhaoming Wang, Elisabeth Widén, Sarah H Wild, Gonneke Willemsen, Bernhard R Winkelmann, Jacqueline C M Witteman, Bruce H R Wolffenbuttel, Andrew Wong, Alan F Wright, M Carola Zillikens, Philippe Amouyel, Bernhard O Boehm, Eric Boerwinkle, Dorret I Boomsma, Mark J Caulfield, Stephen J Chanock, L Adrienne Cupples, Daniele Cusi, George V Dedoussis, Jeanette Erdmann, Johan G Eriksson, Paul W Franks, Philippe Froguel, Christian Gieger, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Christian Hengstenberg, Andrew A Hicks, Aroon Hingorani, Anke Hinney, Albert Hofman, Kees G Hovingh, Kristian Hveem, Thomas Illig, Marjo-Riitta Järvelin, Karl-Heinz Jöckel, Sirkka M Keinanen-Kiukaanniemi, Lambertus A Kiemeney, Diana Kuh, Markku Laakso, Terho Lehtimäki, Douglas F Levinson, Nicholas G Martin, Andres Metspalu, Andrew D Morris, Markku S Nieminen, Inger Njølstad, Claes Ohlsson, Albertine J Oldehinkel, Willem H Ouwehand, Lyle J Palmer, Brenda Penninx, Chris Power, Michael A Province, Bruce M Psaty, Lu Qi, Rainer Rauramaa, Paul M Ridker, Samuli Ripatti, Veikko Salomaa, Nilesh J Samani, Harold Snieder, Thorkild I A Sørensen, Timothy D Spector, Kari Stefansson, Anke Tönjes, Jaakko Tuomilehto, André G Uitterlinden, Matti Uusitupa, Pim van der Harst, Peter Vollenweider, Henri Wallaschofski, Nicholas J Wareham, Hugh Watkins, H-Erich Wichmann, James F Wilson, Gonçalo R Abecasis, Themistocles L Assimes, Inês Barroso, Michael Boehnke, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Timothy Frayling, Leif C Groop, Talin Haritunian, Iris M Heid, David Hunter, Robert C Kaplan, Fredrik Karpe, Miriam F Moffatt, Karen L Mohlke, Jeffrey R O'Connell, Yudi Pawitan, Eric E Schadt, David Schlessinger, Valgerdur Steinthorsdottir, David P Strachan, Unnur Thorsteinsdottir, Cornelia M van Duijn, Peter M Visscher, Anna Maria Di Blasio, Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, André Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson.
Nat. Genet.
PUBLISHED: 03-14-2013
Show Abstract
Hide Abstract
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
Related JoVE Video
Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity.
Hum. Mol. Genet.
PUBLISHED: 02-27-2013
Show Abstract
Hide Abstract
The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P < 1.67 × 10(-8)) at 10 loci, including LIN28B. Five loci associated with pubertal timing, all impacting multiple aspects of growth. In particular, a novel variant correlated with expression of MAPK3, and associated both with increased prepubertal growth and earlier menarche. Another variant near ADCY3-POMC associated with increased body mass index, reduced pubertal growth and earlier puberty. Whereas epidemiological correlations suggest that early puberty marks a pathway from rapid prepubertal growth to reduced final height and adult obesity, our study shows that individual loci associating with pubertal growth have variable longitudinal growth patterns that may differ from epidemiological observations. Overall, this study uncovers part of the complex genetic architecture linking pubertal height growth, the timing of puberty and childhood obesity and provides new information to pinpoint processes linking these traits.
Related JoVE Video
Common variants associated with plasma triglycerides and risk for coronary artery disease.
Ron Do, Cristen J Willer, Ellen M Schmidt, Sebanti Sengupta, Chi Gao, Gina M Peloso, Stefan Gustafsson, Stavroula Kanoni, Andrea Ganna, Jin Chen, Martin L Buchkovich, Samia Mora, Jacques S Beckmann, Jennifer L Bragg-Gresham, Hsing-Yi Chang, Ayse Demirkan, Heleen M den Hertog, Louise A Donnelly, Georg B Ehret, Tonu Esko, Mary F Feitosa, Teresa Ferreira, Krista Fischer, Pierre Fontanillas, Ross M Fraser, Daniel F Freitag, Deepti Gurdasani, Kauko Heikkilä, Elina Hyppönen, Aaron Isaacs, Anne U Jackson, Asa Johansson, Toby Johnson, Marika Kaakinen, Johannes Kettunen, Marcus E Kleber, Xiaohui Li, Jian'an Luan, Leo-Pekka Lyytikäinen, Patrik K E Magnusson, Massimo Mangino, Evelin Mihailov, May E Montasser, Martina Müller-Nurasyid, Ilja M Nolte, Jeffrey R O'Connell, Cameron D Palmer, Markus Perola, Ann-Kristin Petersen, Serena Sanna, Richa Saxena, Susan K Service, Sonia Shah, Dmitry Shungin, Carlo Sidore, Ci Song, Rona J Strawbridge, Ida Surakka, Toshiko Tanaka, Tanya M Teslovich, Gudmar Thorleifsson, Evita G van den Herik, Benjamin F Voight, Kelly A Volcik, Lindsay L Waite, Andrew Wong, Ying Wu, Weihua Zhang, Devin Absher, Gershim Asiki, Inês Barroso, Latonya F Been, Jennifer L Bolton, Lori L Bonnycastle, Paolo Brambilla, Mary S Burnett, Giancarlo Cesana, Maria Dimitriou, Alex S F Doney, Angela Döring, Paul Elliott, Stephen E Epstein, Gudmundur Ingi Eyjolfsson, Bruna Gigante, Mark O Goodarzi, Harald Grallert, Martha L Gravito, Christopher J Groves, Göran Hallmans, Anna-Liisa Hartikainen, Caroline Hayward, Dena Hernandez, Andrew A Hicks, Hilma Holm, Yi-Jen Hung, Thomas Illig, Michelle R Jones, Pontiano Kaleebu, John J P Kastelein, Kay-Tee Khaw, Eric Kim, Norman Klopp, Pirjo Komulainen, Meena Kumari, Claudia Langenberg, Terho Lehtimäki, Shih-Yi Lin, Jaana Lindström, Ruth J F Loos, François Mach, Wendy L McArdle, Christa Meisinger, Braxton D Mitchell, Gabrielle Müller, Ramaiah Nagaraja, Narisu Narisu, Tuomo V M Nieminen, Rebecca N Nsubuga, Isleifur Olafsson, Ken K Ong, Aarno Palotie, Theodore Papamarkou, Cristina Pomilla, Anneli Pouta, Daniel J Rader, Muredach P Reilly, Paul M Ridker, Fernando Rivadeneira, Igor Rudan, Aimo Ruokonen, Nilesh Samani, Hubert Scharnagl, Janet Seeley, Kaisa Silander, Alena Stančáková, Kathleen Stirrups, Amy J Swift, Laurence Tiret, André G Uitterlinden, L Joost van Pelt, Sailaja Vedantam, Nicholas Wainwright, Cisca Wijmenga, Sarah H Wild, Gonneke Willemsen, Tom Wilsgaard, James F Wilson, Elizabeth H Young, Jing Hua Zhao, Linda S Adair, Dominique Arveiler, Themistocles L Assimes, Stefania Bandinelli, Franklyn Bennett, Murielle Bochud, Bernhard O Boehm, Dorret I Boomsma, Ingrid B Borecki, Stefan R Bornstein, Pascal Bovet, Michel Burnier, Harry Campbell, Aravinda Chakravarti, John C Chambers, Yii-Der Ida Chen, Francis S Collins, Richard S Cooper, John Danesh, George Dedoussis, Ulf de Faire, Alan B Feranil, Jean Ferrières, Luigi Ferrucci, Nelson B Freimer, Christian Gieger, Leif C Groop, Vilmundur Gudnason, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Aroon Hingorani, Joel N Hirschhorn, Albert Hofman, G Kees Hovingh, Chao Agnes Hsiung, Steve E Humphries, Steven C Hunt, Kristian Hveem, Carlos Iribarren, Marjo-Riitta Järvelin, Antti Jula, Mika Kähönen, Jaakko Kaprio, Antero Kesäniemi, Mika Kivimäki, Jaspal S Kooner, Peter J Koudstaal, Ronald M Krauss, Diana Kuh, Johanna Kuusisto, Kirsten O Kyvik, Markku Laakso, Timo A Lakka, Lars Lind, Cecilia M Lindgren, Nicholas G Martin, Winfried März, Mark I McCarthy, Colin A McKenzie, Pierre Meneton, Andres Metspalu, Leena Moilanen, Andrew D Morris, Patricia B Munroe, Inger Njølstad, Nancy L Pedersen, Chris Power, Peter P Pramstaller, Jackie F Price, Bruce M Psaty, Thomas Quertermous, Rainer Rauramaa, Danish Saleheen, Veikko Salomaa, Dharambir K Sanghera, Jouko Saramies, Peter E H Schwarz, Wayne H-H Sheu, Alan R Shuldiner, Agneta Siegbahn, Tim D Spector, Kari Stefansson, David P Strachan, Bamidele O Tayo, Elena Tremoli, Jaakko Tuomilehto, Matti Uusitupa, Cornelia M van Duijn, Peter Vollenweider, Lars Wallentin, Nicholas J Wareham, John B Whitfield, Bruce H R Wolffenbuttel, David Altshuler, José M Ordovás, Eric Boerwinkle, Colin N A Palmer, Unnur Thorsteinsdottir, Daniel I Chasman, Jerome I Rotter, Paul W Franks, Samuli Ripatti, L Adrienne Cupples, Manjinder S Sandhu, Stephen S Rich, Michael Boehnke, Panos Deloukas, Karen L Mohlke, Erik Ingelsson, Gonçalo R Abecasis, Mark J Daly, Benjamin M Neale, Sekar Kathiresan.
Nat. Genet.
PUBLISHED: 02-20-2013
Show Abstract
Hide Abstract
Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphisms effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.
Related JoVE Video
Allele-specific regulation of DISC1 expression by miR-135b-5p.
Eur. J. Hum. Genet.
PUBLISHED: 02-14-2013
Show Abstract
Hide Abstract
Disrupted-in-schizophrenia-1 (DISC1) gene has been established as a risk factor for various neuropsychiatric phenotypes. Both coding and regulatory variants in DISC1 have been identified and associated with these phenotypes in genetic studies. MicroRNAs (miRNAs) are important regulators of protein coding genes. Since the miRNA-mRNA target recognition mechanism is vulnerable to disruption by DNA polymorphisms, we investigated whether polymorphisms in the DISC1 3UTR affect binding of miRNAs and lead to allele-specific regulation of DISC1. We identified four predicted polymorphic miRNA target sites in the DISC1 3UTR, and demonstrated that miR-135b-5p regulates the level of DISC1 mRNA. Moreover, DISC1 regulation by miR-135b-5p is allele specific: miR-135b-5p only binds to the major allele (A) of rs11122396, not to the minor allele (G). Thus, the G allele may be functionally related to the DISC1-associated phenotypes by abolishing regulation by miR-135b-5p, leading to elevated DISC1 levels.European Journal of Human Genetics advance online publication, 30 October 2013; doi:10.1038/ejhg.2013.246.
Related JoVE Video
Genomic, transcriptomic, and lipidomic profiling highlights the role of inflammation in individuals with low high-density lipoprotein cholesterol.
Arterioscler. Thromb. Vasc. Biol.
PUBLISHED: 02-14-2013
Show Abstract
Hide Abstract
Low high-density lipoprotein cholesterol (HDL-C) is associated with cardiometabolic pathologies. In this study, we investigate the biological pathways and individual genes behind low HDL-C by integrating results from 3 high-throughput data sources: adipose tissue transcriptomics, HDL lipidomics, and dense marker genotypes from Finnish individuals with low or high HDL-C (n=450).
Related JoVE Video
A genome-wide analysis of populations from European Russia reveals a new pole of genetic diversity in northern Europe.
PLoS ONE
PUBLISHED: 02-06-2013
Show Abstract
Hide Abstract
Several studies examined the fine-scale structure of human genetic variation in Europe. However, the European sets analyzed represent mainly northern, western, central, and southern Europe. Here, we report an analysis of approximately 166,000 single nucleotide polymorphisms in populations from eastern (northeastern) Europe: four Russian populations from European Russia, and three populations from the northernmost Finno-Ugric ethnicities (Veps and two contrast groups of Komi people). These were compared with several reference European samples, including Finns, Estonians, Latvians, Poles, Czechs, Germans, and Italians. The results obtained demonstrated genetic heterogeneity of populations living in the region studied. Russians from the central part of European Russia (Tver, Murom, and Kursk) exhibited similarities with populations from central-eastern Europe, and were distant from Russian sample from the northern Russia (Mezen district, Archangelsk region). Komi samples, especially Izhemski Komi, were significantly different from all other populations studied. These can be considered as a second pole of genetic diversity in northern Europe (in addition to the pole, occupied by Finns), as they had a distinct ancestry component. Russians from Mezen and the Finnic-speaking Veps were positioned between the two poles, but differed from each other in the proportions of Komi and Finnic ancestries. In general, our data provides a more complete genetic map of Europe accounting for the diversity in its most eastern (northeastern) populations.
Related JoVE Video
Partial sleep restriction activates immune response-related gene expression pathways: experimental and epidemiological studies in humans.
PLoS ONE
PUBLISHED: 01-01-2013
Show Abstract
Hide Abstract
Epidemiological studies have shown that short or insufficient sleep is associated with increased risk for metabolic diseases and mortality. To elucidate mechanisms behind this connection, we aimed to identify genes and pathways affected by experimentally induced, partial sleep restriction and to verify their connection to insufficient sleep at population level. The experimental design simulated sleep restriction during a working week: sleep of healthy men (N = 9) was restricted to 4 h/night for five nights. The control subjects (N = 4) spent 8 h/night in bed. Leukocyte RNA expression was analyzed at baseline, after sleep restriction, and after recovery using whole genome microarrays complemented with pathway and transcription factor analysis. Expression levels of the ten most up-regulated and ten most down-regulated transcripts were correlated with subjective assessment of insufficient sleep in a population cohort (N = 472). Experimental sleep restriction altered the expression of 117 genes. Eight of the 25 most up-regulated transcripts were related to immune function. Accordingly, fifteen of the 25 most up-regulated Gene Ontology pathways were also related to immune function, including those for B cell activation, interleukin 8 production, and NF-?B signaling (P<0.005). Of the ten most up-regulated genes, expression of STX16 correlated negatively with self-reported insufficient sleep in a population sample, while three other genes showed tendency for positive correlation. Of the ten most down-regulated genes, TBX21 and LGR6 correlated negatively and TGFBR3 positively with insufficient sleep. Partial sleep restriction affects the regulation of signaling pathways related to the immune system. Some of these changes appear to be long-lasting and may at least partly explain how prolonged sleep restriction can contribute to inflammation-associated pathological states, such as cardiometabolic diseases.
Related JoVE Video
The molecular genetic architecture of self-employment.
PLoS ONE
PUBLISHED: 01-01-2013
Show Abstract
Hide Abstract
Economic variables such as income, education, and occupation are known to affect mortality and morbidity, such as cardiovascular disease, and have also been shown to be partly heritable. However, very little is known about which genes influence economic variables, although these genes may have both a direct and an indirect effect on health. We report results from the first large-scale collaboration that studies the molecular genetic architecture of an economic variable-entrepreneurship-that was operationalized using self-employment, a widely-available proxy. Our results suggest that common SNPs when considered jointly explain about half of the narrow-sense heritability of self-employment estimated in twin data (?(g)(2)/?(P)(2)?=?25%, h(2)?=?55%). However, a meta-analysis of genome-wide association studies across sixteen studies comprising 50,627 participants did not identify genome-wide significant SNPs. 58 SNPs with p<10(-5) were tested in a replication sample (n?=?3,271), but none replicated. Furthermore, a gene-based test shows that none of the genes that were previously suggested in the literature to influence entrepreneurship reveal significant associations. Finally, SNP-based genetic scores that use results from the meta-analysis capture less than 0.2% of the variance in self-employment in an independent sample (p?0.039). Our results are consistent with a highly polygenic molecular genetic architecture of self-employment, with many genetic variants of small effect. Although self-employment is a multi-faceted, heavily environmentally influenced, and biologically distal trait, our results are similar to those for other genetically complex and biologically more proximate outcomes, such as height, intelligence, personality, and several diseases.
Related JoVE Video
Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci.
Hum. Mol. Genet.
PUBLISHED: 12-09-2011
Show Abstract
Hide Abstract
Almost 100 genetic loci are known to affect serum cholesterol and triglyceride levels. For many of these loci, the biological function and causal variants remain unknown. We performed an association analysis of the reported 95 lipid loci against 216 metabolite measures, including 95 measurements on lipids and lipoprotein subclasses, obtained via serum nuclear magnetic resonance metabolomics and four enzymatic lipid traits in 8330 individuals from Finland. The genetic variation in the loci was investigated using a dense set of 440 807 directly genotyped and imputed variants around the previously identified lead single nucleotide polymorphisms (SNPs). For 30 of the 95 loci, we identified new metabolic or genetic associations (P < 5 × 10(-8)). In the majority of the loci, the strongest association was to a more specific metabolite measure than the enzymatic lipids. In four loci, the smallest high-density lipoprotein measures showed effects opposite to the larger ones, and 14 loci had associations beyond the individual lipoprotein measures. In 27 loci, we identified SNPs with a stronger association than the previously reported markers and 12 loci harboured multiple, statistically independent variants. Our data show considerable diversity in association patterns between the loci originally identified through associations with enzymatic lipid measures and reveal association profiles of far greater detail than from routine clinical lipid measures. Additionally, a dense marker set and a homogeneous population allow for detailed characterization of the genetic association signals to a resolution exceeding that achieved so far. Further understanding of the rich variability in genetic effects on metabolites provides insights into the biological processes modifying lipid levels.
Related JoVE Video
Genetic variants and blood pressure in a population-based cohort: the Cardiovascular Risk in Young Finns study.
Hypertension
PUBLISHED: 10-24-2011
Show Abstract
Hide Abstract
Clinical relevance of a genetic predisposition to elevated blood pressure was quantified during the transition from childhood to adulthood in a population-based Finnish cohort (N=2357). Blood pressure was measured at baseline in 1980 (age 3-18 years) and in follow-ups in 1983, 1986, 2001, and 2007. Thirteen single nucleotide polymorphisms associated with blood pressure were genotyped, and 3 genetic risk scores associated with systolic and diastolic blood pressures and their combination were derived for all of the participants. Effects of the genetic risk score were 0.47 mm Hg for systolic and 0.53 mm Hg for diastolic blood pressures (both P<0.01). The combination genetic risk score was associated with diastolic blood pressure from age 9 years onward (?=0.68 mm Hg; P=0.015). Replications in 1194 participants of the Bogalusa Heart Study showed essentially similar results. The participants in the highest quintile of the combination genetic risk score had a 1.82-fold risk of hypertension in adulthood (P<0.0001) compared with the lowest quintile, independent of a family history of premature hypertension. These findings show that genetic variants are associated with preclinical blood pressure traits in childhood; individuals with several susceptibility alleles have, on average, a 0.5-mm Hg higher blood pressure, and this trajectory continues from childhood to adulthood.
Related JoVE Video
Association of known loci with lipid levels among children and prediction of dyslipidemia in adults.
Circ Cardiovasc Genet
PUBLISHED: 10-07-2011
Show Abstract
Hide Abstract
Recent genome-wide association studies have found 95 distinct genetic loci associated with high-density (HDL-C) and low-density (LDL-C) lipoprotein cholesterol, total cholesterol (TC), and triglycerides (TG), using adult samples. It is not known if these variants are associated with lipid levels in children and adolescents and if the genetic risk score (GRS), based on these variants, could improve adulthood dyslipidemia prediction over the childhood lipid measurements.
Related JoVE Video
A genome-wide screen for interactions reveals a new locus on 4p15 modifying the effect of waist-to-hip ratio on total cholesterol.
PLoS Genet.
PUBLISHED: 06-23-2011
Show Abstract
Hide Abstract
Recent genome-wide association (GWA) studies described 95 loci controlling serum lipid levels. These common variants explain ?25% of the heritability of the phenotypes. To date, no unbiased screen for gene-environment interactions for circulating lipids has been reported. We screened for variants that modify the relationship between known epidemiological risk factors and circulating lipid levels in a meta-analysis of genome-wide association (GWA) data from 18 population-based cohorts with European ancestry (maximum N?=?32,225). We collected 8 further cohorts (N?=?17,102) for replication, and rs6448771 on 4p15 demonstrated genome-wide significant interaction with waist-to-hip-ratio (WHR) on total cholesterol (TC) with a combined P-value of 4.79×10(-9). There were two potential candidate genes in the region, PCDH7 and CCKAR, with differential expression levels for rs6448771 genotypes in adipose tissue. The effect of WHR on TC was strongest for individuals carrying two copies of G allele, for whom a one standard deviation (sd) difference in WHR corresponds to 0.19 sd difference in TC concentration, while for A allele homozygous the difference was 0.12 sd. Our findings may open up possibilities for targeted intervention strategies for people characterized by specific genomic profiles. However, more refined measures of both body-fat distribution and metabolic measures are needed to understand how their joint dynamics are modified by the newly found locus.
Related JoVE Video
Missing value imputation in longitudinal measures of alcohol consumption.
Int J Methods Psychiatr Res
PUBLISHED: 05-11-2011
Show Abstract
Hide Abstract
Attrition in longitudinal studies can lead to biased results. The study is motivated by the unexpected observation that alcohol consumption decreased despite increased availability, which may be due to sample attrition of heavy drinkers. Several imputation methods have been proposed, but rarely compared in longitudinal studies of alcohol consumption. The imputation of consumption level measurements is computationally particularly challenging due to alcohol consumption being a semi?continuous variable (dichotomous drinking status and continuous volume among drinkers), and the non?normality of data in the continuous part. Data come from a longitudinal study in Denmark with four waves (2003–2006) and 1771 individuals at baseline. Five techniques for missing data are compared: Last value carried forward (LVCF) was used as a single, and Hotdeck, Heckman modelling, multivariate imputation by chained equations (MICE), and a Bayesian approach as multiple imputation methods. Predictive mean matching was used to account for non?normality, where instead of imputing regression estimates, "real" observed values from similar cases are imputed. Methods were also compared by means of a simulated dataset. The simulation showed that the Bayesian approach yielded the most unbiased estimates for imputation. The finding of no increase in consumption levels despite a higher availability remained unaltered.
Related JoVE Video
Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.
María Soler Artigas, Daan W Loth, Louise V Wain, Sina A Gharib, Ma'en Obeidat, Wenbo Tang, Guangju Zhai, Jing Hua Zhao, Albert Vernon Smith, Jennifer E Huffman, Eva Albrecht, Catherine M Jackson, David M Evans, Gemma Cadby, Myriam Fornage, Ani Manichaikul, Lorna M Lopez, Toby Johnson, Melinda C Aldrich, Thor Aspelund, Inês Barroso, Harry Campbell, Patricia A Cassano, David J Couper, Gudny Eiriksdottir, Nora Franceschini, Melissa Garcia, Christian Gieger, Gauti Kjartan Gislason, Ivica Grković, Christopher J Hammond, Dana B Hancock, Tamara B Harris, Adaikalavan Ramasamy, Susan R Heckbert, Markku Heliövaara, Georg Homuth, Pirro G Hysi, Alan L James, Stipan Janković, Bonnie R Joubert, Stefan Karrasch, Norman Klopp, Beate Koch, Stephen B Kritchevsky, Lenore J Launer, Yongmei Liu, Laura R Loehr, Kurt Lohman, Ruth J F Loos, Thomas Lumley, Khalid A Al Balushi, Wei Q Ang, R Graham Barr, John Beilby, John D Blakey, Mladen Boban, Vesna Boraska, Jonas Brisman, John R Britton, Guy G Brusselle, Cyrus Cooper, Ivan Curjuric, Santosh Dahgam, Ian J Deary, Shah Ebrahim, Mark Eijgelsheim, Clyde Francks, Darya Gaysina, Raquel Granell, Xiangjun Gu, John L Hankinson, Rebecca Hardy, Sarah E Harris, John Henderson, Amanda Henry, Aroon D Hingorani, Albert Hofman, Patrick G Holt, Jennie Hui, Michael L Hunter, Medea Imboden, Karen A Jameson, Shona M Kerr, Ivana Kolčić, Florian Kronenberg, Jason Z Liu, Jonathan Marchini, Tricia McKeever, Andrew D Morris, Anna-Carin Olin, David J Porteous, Dirkje S Postma, Stephen S Rich, Susan M Ring, Fernando Rivadeneira, Thierry Rochat, Avan Aihie Sayer, Ian Sayers, Peter D Sly, George Davey Smith, Akshay Sood, John M Starr, André G Uitterlinden, Judith M Vonk, S Goya Wannamethee, Peter H Whincup, Cisca Wijmenga, O Dale Williams, Andrew Wong, Massimo Mangino, Kristin D Marciante, Wendy L McArdle, Bernd Meibohm, Alanna C Morrison, Kari E North, Ernst Omenaas, Lyle J Palmer, Kirsi H Pietiläinen, Isabelle Pin, Ozren Pola Sbreve Ek, Anneli Pouta, Bruce M Psaty, Anna-Liisa Hartikainen, Taina Rantanen, Samuli Ripatti, Jerome I Rotter, Igor Rudan, Alicja R Rudnicka, Holger Schulz, So-Youn Shin, Tim D Spector, Ida Surakka, Veronique Vitart, Henry Völzke, Nicholas J Wareham, Nicole M Warrington, H-Erich Wichmann, Sarah H Wild, Jemma B Wilk, Matthias Wjst, Alan F Wright, Lina Zgaga, Tatijana Zemunik, Craig E Pennell, Fredrik Nyberg, Diana Kuh, John W Holloway, H Marike Boezen, Debbie A Lawlor, Richard W Morris, Nicole Probst-Hensch, , Jaakko Kaprio, James F Wilson, Caroline Hayward, Mika Kähönen, Joachim Heinrich, Arthur W Musk, Deborah L Jarvis, Sven Gläser, Marjo-Riitta Järvelin, Bruno H Ch Stricker, Paul Elliott, George T O'Connor, David P Strachan, Stephanie J London, Ian P Hall, Vilmundur Gudnason, Martin D Tobin.
Nat. Genet.
PUBLISHED: 04-20-2011
Show Abstract
Hide Abstract
Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 × 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.
Related JoVE Video
Phenotype mining in CNV carriers from a population cohort.
Hum. Mol. Genet.
PUBLISHED: 04-19-2011
Show Abstract
Hide Abstract
Phenotype mining is a novel approach for elucidating the genetic basis of complex phenotypic variation. It involves a search of rich phenotype databases for measures correlated with genetic variation, as identified in genome-wide genotyping or sequencing studies. An initial implementation of phenotype mining in a prospective unselected population cohort, the Northern Finland 1966 Birth Cohort (NFBC1966), identifies neurodevelopment-related traits-intellectual deficits, poor school performance and hearing abnormalities-which are more frequent among individuals with large (>500 kb) deletions than among other cohort members. Observation of extensive shared single nucleotide polymorphism haplotypes around deletions suggests an opportunity to expand phenotype mining from cohort samples to the populations from which they derive.
Related JoVE Video
Associations of nicotine intake measures with CHRN genes in Finnish smokers.
Nicotine Tob. Res.
PUBLISHED: 04-16-2011
Show Abstract
Hide Abstract
Genetic effects contribute to individual differences in smoking behavior. Persistence to smoke despite known harmful health effects is mostly driven by nicotine addiction. As the physiological effects of nicotine are mediated by nicotinic acetylcholine receptors (nAChRs), we aimed at examining whether single nucleotide polymorphisms (SNPs) residing in nAChR subunit (CHRN) genes, other than CHRNA3/CHRNA5/CHRNB4 gene cluster previously showing association in our sample, are associated with smoking quantity or serum cotinine levels.
Related JoVE Video
Genetic architecture of circulating lipid levels.
Eur. J. Hum. Genet.
PUBLISHED: 03-30-2011
Show Abstract
Hide Abstract
Serum concentrations of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TGs) and total cholesterol (TC) are important heritable risk factors for cardiovascular disease. Although genome-wide association studies (GWASs) of circulating lipid levels have identified numerous loci, a substantial portion of the heritability of these traits remains unexplained. Evidence of unexplained genetic variance can be detected by combining multiple independent markers into additive genetic risk scores. Such polygenic scores, constructed using results from the ENGAGE Consortium GWAS on serum lipids, were applied to predict lipid levels in an independent population-based study, the Rotterdam Study-II (RS-II). We additionally tested for evidence of a shared genetic basis for different lipid phenotypes. Finally, the polygenic score approach was used to identify an alternative genome-wide significance threshold before pathway analysis and those results were compared with those based on the classical genome-wide significance threshold. Our study provides evidence suggesting that many loci influencing circulating lipid levels remain undiscovered. Cross-prediction models suggested a small overlap between the polygenic backgrounds involved in determining LDL-C, HDL-C and TG levels. Pathway analysis utilizing the best polygenic score for TC uncovered extra information compared with using only genome-wide significant loci. These results suggest that the genetic architecture of circulating lipids involves a number of undiscovered variants with very small effects, and that increasing GWAS sample sizes will enable the identification of novel variants that regulate lipid levels.
Related JoVE Video
Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels.
Abbas Dehghan, Josée Dupuis, Maja Barbalic, Joshua C Bis, Gudny Eiriksdottir, Chen Lu, Niina Pellikka, Henri Wallaschofski, Johannes Kettunen, Peter Henneman, Jens Baumert, David P Strachan, Christian Fuchsberger, Veronique Vitart, James F Wilson, Guillaume Paré, Silvia Naitza, Megan E Rudock, Ida Surakka, Eco J C de Geus, Behrooz Z Alizadeh, Jack Guralnik, Alan Shuldiner, Toshiko Tanaka, Robert Y L Zee, Renate B Schnabel, Vijay Nambi, Maryam Kavousi, Samuli Ripatti, Matthias Nauck, Nicholas L Smith, Albert V Smith, Jouko Sundvall, Paul Scheet, Yongmei Liu, Aimo Ruokonen, Lynda M Rose, Martin G Larson, Ron C Hoogeveen, Nelson B Freimer, Alexander Teumer, Russell P Tracy, Lenore J Launer, Julie E Buring, Jennifer F Yamamoto, Aaron R Folsom, Eric J G Sijbrands, James Pankow, Paul Elliott, John F Keaney, Wei Sun, Antti-Pekka Sarin, João D Fontes, Sunita Badola, Brad C Astor, Albert Hofman, Anneli Pouta, Karl Werdan, Karin H Greiser, Oliver Kuss, Henriette E Meyer Zu Schwabedissen, Joachim Thiery, Yalda Jamshidi, Ilja M Nolte, Nicole Soranzo, Timothy D Spector, Henry Völzke, Alexander N Parker, Thor Aspelund, David Bates, Lauren Young, Kim Tsui, David S Siscovick, Xiuqing Guo, Jerome I Rotter, Manuela Uda, David Schlessinger, Igor Rudan, Andrew A Hicks, Brenda W Penninx, Barbara Thorand, Christian Gieger, Joe Coresh, Gonneke Willemsen, Tamara B Harris, André G Uitterlinden, Marjo-Riitta Järvelin, Kenneth Rice, Dörte Radke, Veikko Salomaa, Ko Willems van Dijk, Eric Boerwinkle, Ramachandran S Vasan, Luigi Ferrucci, Quince D Gibson, Stefania Bandinelli, Harold Snieder, Dorret I Boomsma, Xiangjun Xiao, Harry Campbell, Caroline Hayward, Peter P Pramstaller, Cornelia M van Duijn, Leena Peltonen, Bruce M Psaty, Vilmundur Gudnason, Paul M Ridker, Georg Homuth, Wolfgang Koenig, Christie M Ballantyne, Jacqueline C M Witteman, Emelia J Benjamin, Markus Perola, Daniel I Chasman.
Circulation
PUBLISHED: 02-07-2011
Show Abstract
Hide Abstract
C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels.
Related JoVE Video
Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile.
Tuomas O Kilpeläinen, M Carola Zillikens, Alena Stančáková, Francis M Finucane, Janina S Ried, Claudia Langenberg, Weihua Zhang, Jacques S Beckmann, Jian'an Luan, Liesbeth Vandenput, Unnur Styrkarsdottir, Yanhua Zhou, Albert Vernon Smith, Jing-Hua Zhao, Najaf Amin, Sailaja Vedantam, So-Youn Shin, Talin Haritunians, Mao Fu, Mary F Feitosa, Meena Kumari, Bjarni V Halldórsson, Emmi Tikkanen, Massimo Mangino, Caroline Hayward, Ci Song, Alice M Arnold, Yurii S Aulchenko, Ben A Oostra, Harry Campbell, L Adrienne Cupples, Kathryn E Davis, Angela Döring, Gudny Eiriksdottir, Karol Estrada, José Manuel Fernández-Real, Melissa Garcia, Christian Gieger, Nicole L Glazer, Candace Guiducci, Albert Hofman, Steve E Humphries, Bo Isomaa, Leonie C Jacobs, Antti Jula, David Karasik, Magnus K Karlsson, Kay-Tee Khaw, Lauren J Kim, Mika Kivimäki, Norman Klopp, Brigitte Kühnel, Johanna Kuusisto, Yongmei Liu, Osten Ljunggren, Mattias Lorentzon, Robert N Luben, Barbara McKnight, Dan Mellström, Braxton D Mitchell, Vincent Mooser, Jose María Moreno, Satu Mannisto, Jeffery R O'Connell, Laura Pascoe, Leena Peltonen, Belén Peral, Markus Perola, Bruce M Psaty, Veikko Salomaa, David B Savage, Robert K Semple, Tatjana Skarić-Jurić, Gunnar Sigurdsson, Kijoung S Song, Timothy D Spector, Ann-Christine Syvänen, Philippa J Talmud, Gudmar Thorleifsson, Unnur Thorsteinsdottir, André G Uitterlinden, Cornelia M van Duijn, Antonio Vidal-Puig, Sarah H Wild, Alan F Wright, Deborah J Clegg, Eric Schadt, James F Wilson, Igor Rudan, Samuli Ripatti, Ingrid B Borecki, Alan R Shuldiner, Erik Ingelsson, John-Olov Jansson, Robert C Kaplan, Vilmundur Gudnason, Tamara B Harris, Leif Groop, Douglas P Kiel, Fernando Rivadeneira, Mark Walker, Inês Barroso, Peter Vollenweider, Gérard Waeber, John C Chambers, Jaspal S Kooner, Nicole Soranzo, Joel N Hirschhorn, Kari Stefansson, H-Erich Wichmann, Claes Ohlsson, Stephen O'Rahilly, Nicholas J Wareham, Elizabeth K Speliotes, Caroline S Fox, Markku Laakso, Ruth J F Loos.
Nat. Genet.
PUBLISHED: 01-18-2011
Show Abstract
Hide Abstract
Genome-wide association studies have identified 32 loci influencing body mass index, but this measure does not distinguish lean from fat mass. To identify adiposity loci, we meta-analyzed associations between ?2.5 million SNPs and body fat percentage from 36,626 individuals and followed up the 14 most significant (P < 10(-6)) independent loci in 39,576 individuals. We confirmed a previously established adiposity locus in FTO (P = 3 × 10(-26)) and identified two new loci associated with body fat percentage, one near IRS1 (P = 4 × 10(-11)) and one near SPRY2 (P = 3 × 10(-8)). Both loci contain genes with potential links to adipocyte physiology. Notably, the body-fat-decreasing allele near IRS1 is associated with decreased IRS1 expression and with an impaired metabolic profile, including an increased visceral to subcutaneous fat ratio, insulin resistance, dyslipidemia, risk of diabetes and coronary artery disease and decreased adiponectin levels. Our findings provide new insights into adiposity and insulin resistance.
Related JoVE Video
The genetic structure of the Swedish population.
PLoS ONE
PUBLISHED: 01-14-2011
Show Abstract
Hide Abstract
Patterns of genetic diversity have previously been shown to mirror geography on a global scale and within continents and individual countries. Using genome-wide SNP data on 5174 Swedes with extensive geographical coverage, we analyzed the genetic structure of the Swedish population. We observed strong differences between the far northern counties and the remaining counties. The population of Dalarna county, in north middle Sweden, which borders southern Norway, also appears to differ markedly from other counties, possibly due to this county having more individuals with remote Finnish or Norwegian ancestry than other counties. An analysis of genetic differentiation (based on pairwise F(st)) indicated that the population of Swedens southernmost counties are genetically closer to the HapMap CEU samples of Northern European ancestry than to the populations of Swedens northernmost counties. In a comparison of extended homozygous segments, we detected a clear divide between southern and northern Sweden with small differences between the southern counties and considerably more segments in northern Sweden. Both the increased degree of homozygosity in the north and the large genetic differences between the south and the north may have arisen due to a small population in the north and the vast geographical distances between towns and villages in the north, in contrast to the more densely settled southern parts of Sweden. Our findings have implications for future genome-wide association studies (GWAS) with respect to the matching of cases and controls and the need for within-county matching. We have shown that genetic differences within a single country may be substantial, even when viewed on a European scale. Thus, population stratification needs to be accounted for, even within a country like Sweden, which is often perceived to be relatively homogenous and a favourable resource for genetic mapping, otherwise inferences based on genetic data may lead to false conclusions.
Related JoVE Video
SAIL--a software system for sample and phenotype availability across biobanks and cohorts.
Bioinformatics
PUBLISHED: 12-17-2010
Show Abstract
Hide Abstract
The Sample avAILability system-SAIL-is a web based application for searching, browsing and annotating biological sample collections or biobank entries. By providing individual-level information on the availability of specific data types (phenotypes, genetic or genomic data) and samples within a collection, rather than the actual measurement data, resource integration can be facilitated. A flexible data structure enables the collection owners to provide descriptive information on their samples using existing or custom vocabularies. Users can query for the available samples by various parameters combining them via logical expressions. The system can be scaled to hold data from millions of samples with thousands of variables.
Related JoVE Video
[Genetics of multifactorial diseases].
Duodecim
PUBLISHED: 11-20-2010
Show Abstract
Hide Abstract
Multifactorial diseases refer to diseases having a genesis known to be influenced both by the genome and the environment. Examples include cardiovascular diseases, asthma, autoimmune diseases and various neurological and psychiatric diseases. Technical development has made possible a considerably more accurate measurement of genetic variation, having already led to the identification of hundreds of predisposing genes. We do not, however, still understand enough about the mechanisms of action of genes. The increasing progress in DNA sequencing techniques is currently changing the prospects of research more quickly than ever before.
Related JoVE Video
A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses.
Lancet
PUBLISHED: 10-26-2010
Show Abstract
Hide Abstract
Comparison of patients with coronary heart disease and controls in genome-wide association studies has revealed several single nucleotide polymorphisms (SNPs) associated with coronary heart disease. We aimed to establish the external validity of these findings and to obtain more precise risk estimates using a prospective cohort design.
Related JoVE Video
Genetic variants influencing circulating lipid levels and risk of coronary artery disease.
Arterioscler. Thromb. Vasc. Biol.
PUBLISHED: 09-23-2010
Show Abstract
Hide Abstract
Genetic studies might provide new insights into the biological mechanisms underlying lipid metabolism and risk of CAD. We therefore conducted a genome-wide association study to identify novel genetic determinants of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides.
Related JoVE Video
Common variants at 10 genomic loci influence hemoglobin A?(C) levels via glycemic and nonglycemic pathways.
Nicole Soranzo, Serena Sanna, Eleanor Wheeler, Christian Gieger, Dörte Radke, Josée Dupuis, Nabila Bouatia-Naji, Claudia Langenberg, Inga Prokopenko, Elliot Stolerman, Manjinder S Sandhu, Matthew M Heeney, Joseph M Devaney, Muredach P Reilly, Sally L Ricketts, Alexandre F R Stewart, Benjamin F Voight, Christina Willenborg, Benjamin Wright, David Altshuler, Dan Arking, Beverley Balkau, Daniel Barnes, Eric Boerwinkle, Bernhard Böhm, Amélie Bonnefond, Lori L Bonnycastle, Dorret I Boomsma, Stefan R Bornstein, Yvonne Böttcher, Suzannah Bumpstead, Mary Susan Burnett-Miller, Harry Campbell, Antonio Cao, John Chambers, Robert Clark, Francis S Collins, Josef Coresh, Eco J C de Geus, Mariano Dei, Panos Deloukas, Angela Döring, Josephine M Egan, Roberto Elosua, Luigi Ferrucci, Nita Forouhi, Caroline S Fox, Christopher Franklin, Maria Grazia Franzosi, Sophie Gallina, Anuj Goel, Jurgen Graessler, Harald Grallert, Andreas Greinacher, David Hadley, Alistair Hall, Anders Hamsten, Caroline Hayward, Simon Heath, Christian Herder, Georg Homuth, Jouke-Jan Hottenga, Rachel Hunter-Merrill, Thomas Illig, Anne U Jackson, Antti Jula, Marcus Kleber, Christopher W Knouff, Augustine Kong, Jaspal Kooner, Anna Köttgen, Peter Kovacs, Knut Krohn, Brigitte Kühnel, Johanna Kuusisto, Markku Laakso, Mark Lathrop, Cécile Lecoeur, Man Li, Mingyao Li, Ruth J F Loos, Jian'an Luan, Valeriya Lyssenko, Reedik Mägi, Patrik K E Magnusson, Anders Malarstig, Massimo Mangino, María Teresa Martínez-Larrad, Winfried März, Wendy L McArdle, Ruth McPherson, Christa Meisinger, Thomas Meitinger, Olle Melander, Karen L Mohlke, Vincent E Mooser, Mario A Morken, Narisu Narisu, David M Nathan, Matthias Nauck, Chris O'Donnell, Konrad Oexle, Nazario Olla, James S Pankow, Felicity Payne, John F Peden, Nancy L Pedersen, Leena Peltonen, Markus Perola, Ozren Polašek, Eleonora Porcu, Daniel J Rader, Wolfgang Rathmann, Samuli Ripatti, Ghislain Rocheleau, Michael Roden, Igor Rudan, Veikko Salomaa, Richa Saxena, David Schlessinger, Heribert Schunkert, Peter Schwarz, Udo Seedorf, Elizabeth Selvin, Manuel Serrano-Ríos, Peter Shrader, Angela Silveira, David Siscovick, Kjioung Song, Timothy D Spector, Kari Stefansson, Valgerdur Steinthorsdottir, David P Strachan, Rona Strawbridge, Michael Stumvoll, Ida Surakka, Amy J Swift, Toshiko Tanaka, Alexander Teumer, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Anke Tönjes, Gianluca Usala, Veronique Vitart, Henry Völzke, Henri Wallaschofski, Dawn M Waterworth, Hugh Watkins, H-Erich Wichmann, Sarah H Wild, Gonneke Willemsen, Gordon H Williams, James F Wilson, Juliane Winkelmann, Alan F Wright, , Carina Zabena, Jing Hua Zhao, Stephen E Epstein, Jeanette Erdmann, Hakon H Hakonarson, Sekar Kathiresan, Kay-Tee Khaw, Robert Roberts, Nilesh J Samani, Mark D Fleming, Robert Sladek, Goncalo Abecasis, Michael Boehnke, Philippe Froguel, Leif Groop, Mark I McCarthy, W H Linda Kao, Jose C Florez, Manuela Uda, Nicholas J Wareham, Inês Barroso, James B Meigs.
Diabetes
PUBLISHED: 09-21-2010
Show Abstract
Hide Abstract
Glycated hemoglobin (HbA?(c)), used to monitor and diagnose diabetes, is influenced by average glycemia over a 2- to 3-month period. Genetic factors affecting expression, turnover, and abnormal glycation of hemoglobin could also be associated with increased levels of HbA?(c). We aimed to identify such genetic factors and investigate the extent to which they influence diabetes classification based on HbA?(c) levels.
Related JoVE Video
Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging.
Genome Res.
PUBLISHED: 09-01-2010
Show Abstract
Hide Abstract
The combining of genome-wide association (GWA) data across populations represents a major challenge for massive global meta-analyses. Genotype imputation using densely genotyped reference samples facilitates the combination of data across different genotyping platforms. HapMap data is typically used as a reference for single nucleotide polymorphism (SNP) imputation and tagging copy number polymorphisms (CNPs). However, the advantage of having population-specific reference panels for founder populations has not been evaluated. We looked at the properties and impact of adding 81 individuals from a founder population to HapMap3 reference data on imputation quality, CNP tagging, and power to detect association in simulations and in an independent cohort of 2138 individuals. The gain in SNP imputation accuracy was highest among low-frequency markers (minor allele frequency [MAF] < 5%), for which adding the population-specific samples to the reference set increased the median R(2) between imputed and genotyped SNPs from 0.90 to 0.94. Accuracy also increased in regions with high recombination rates. Similarly, a reference set with population-specific extension facilitated the identification of better tag-SNPs for a subset of CNPs; for 4% of CNPs the R(2) between SNP genotypes and CNP intensity in the independent population cohort was at least twice as high as without the extension. We conclude that even a relatively small population-specific reference set yields considerable benefits in SNP imputation, CNP tagging accuracy, and the power to detect associations in founder populations and population isolates in particular.
Related JoVE Video
NordicDB: a Nordic pool and portal for genome-wide control data.
Eur. J. Hum. Genet.
PUBLISHED: 07-28-2010
Show Abstract
Hide Abstract
A cost-efficient way to increase power in a genetic association study is to pool controls from different sources. The genotyping effort can then be directed to large case series. The Nordic Control database, NordicDB, has been set up as a unique resource in the Nordic area and the data are available for authorized users through the web portal (http://www.nordicdb.org). The current version of NordicDB pools together high-density genome-wide SNP information from ?5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers. The genetic homogeneity of the samples was investigated using multidimensional scaling (MDS) analysis and pairwise allele frequency differences between the studies. The plot of the first two MDS components showed excellent resemblance to the geographical placement of the samples, with a clear NW-SE gradient. We advise researchers to assess the impact of population structure when incorporating NordicDB controls in association studies. This harmonized Nordic database presents a unique genome-wide resource for future genetic association studies in the Nordic countries.
Related JoVE Video
Metabonomic, transcriptomic, and genomic variation of a population cohort.
Mol. Syst. Biol.
PUBLISHED: 06-08-2010
Show Abstract
Hide Abstract
Comprehensive characterization of human tissues promises novel insights into the biological architecture of human diseases and traits. We assessed metabonomic, transcriptomic, and genomic variation for a large population-based cohort from the capital region of Finland. Network analyses identified a set of highly correlated genes, the lipid-leukocyte (LL) module, as having a prominent role in over 80 serum metabolites (of 134 measures quantified), including lipoprotein subclasses, lipids, and amino acids. Concurrent association with immune response markers suggested the LL module as a possible link between inflammation, metabolism, and adiposity. Further, genomic variation was used to generate a directed network and infer LL modules largely reactive nature to metabolites. Finally, gene co-expression in circulating leukocytes was shown to be dependent on serum metabolite concentrations, providing evidence for the hypothesis that the coherence of molecular networks themselves is conditional on environmental factors. These findings show the importance and opportunity of systematic molecular investigation of human population samples. To facilitate and encourage this investigation, the metabonomic, transcriptomic, and genomic data used in this study have been made available as a resource for the research community.
Related JoVE Video
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.
Elizabeth K Speliotes, Cristen J Willer, Sonja I Berndt, Keri L Monda, Gudmar Thorleifsson, Anne U Jackson, Hana Lango Allen, Cecilia M Lindgren, Jian'an Luan, Reedik Mägi, Joshua C Randall, Sailaja Vedantam, Thomas W Winkler, Lu Qi, Tsegaselassie Workalemahu, Iris M Heid, Valgerdur Steinthorsdottir, Heather M Stringham, Michael N Weedon, Eleanor Wheeler, Andrew R Wood, Teresa Ferreira, Robert J Weyant, Ayellet V Segrè, Karol Estrada, Liming Liang, James Nemesh, Ju-Hyun Park, Stefan Gustafsson, Tuomas O Kilpeläinen, Jian Yang, Nabila Bouatia-Naji, Tonu Esko, Mary F Feitosa, Zoltan Kutalik, Massimo Mangino, Soumya Raychaudhuri, André Scherag, Albert Vernon Smith, Ryan Welch, Jing Hua Zhao, Katja K Aben, Devin M Absher, Najaf Amin, Anna L Dixon, Eva Fisher, Nicole L Glazer, Michael E Goddard, Nancy L Heard-Costa, Volker Hoesel, Jouke-Jan Hottenga, Asa Johansson, Toby Johnson, Shamika Ketkar, Claudia Lamina, Shengxu Li, Miriam F Moffatt, Richard H Myers, Narisu Narisu, John R B Perry, Marjolein J Peters, Michael Preuss, Samuli Ripatti, Fernando Rivadeneira, Camilla Sandholt, Laura J Scott, Nicholas J Timpson, Jonathan P Tyrer, Sophie van Wingerden, Richard M Watanabe, Charles C White, Fredrik Wiklund, Christina Barlassina, Daniel I Chasman, Matthew N Cooper, John-Olov Jansson, Robert W Lawrence, Niina Pellikka, Inga Prokopenko, Jianxin Shi, Elisabeth Thiering, Helene Alavere, Maria T S Alibrandi, Peter Almgren, Alice M Arnold, Thor Aspelund, Larry D Atwood, Beverley Balkau, Anthony J Balmforth, Amanda J Bennett, Yoav Ben-Shlomo, Richard N Bergman, Sven Bergmann, Heike Biebermann, Alexandra I F Blakemore, Tanja Boes, Lori L Bonnycastle, Stefan R Bornstein, Morris J Brown, Thomas A Buchanan, Fabio Busonero, Harry Campbell, Francesco P Cappuccio, Christine Cavalcanti-Proença, Yii-Der Ida Chen, Chih-Mei Chen, Peter S Chines, Robert Clarke, Lachlan Coin, John Connell, Ian N M Day, Martin den Heijer, Jubao Duan, Shah Ebrahim, Paul Elliott, Roberto Elosua, Gudny Eiriksdottir, Michael R Erdos, Johan G Eriksson, Maurizio F Facheris, Stephan B Felix, Pamela Fischer-Posovszky, Aaron R Folsom, Nele Friedrich, Nelson B Freimer, Mao Fu, Stefan Gaget, Pablo V Gejman, Eco J C Geus, Christian Gieger, Anette P Gjesing, Anuj Goel, Philippe Goyette, Harald Grallert, Jürgen Gräßler, Danielle M Greenawalt, Christopher J Groves, Vilmundur Gudnason, Candace Guiducci, Anna-Liisa Hartikainen, Neelam Hassanali, Alistair S Hall, Aki S Havulinna, Caroline Hayward, Andrew C Heath, Christian Hengstenberg, Andrew A Hicks, Anke Hinney, Albert Hofman, Georg Homuth, Jennie Hui, Wilmar Igl, Carlos Iribarren, Bo Isomaa, Kevin B Jacobs, Ivonne Jarick, Elizabeth Jewell, Ulrich John, Torben Jørgensen, Pekka Jousilahti, Antti Jula, Marika Kaakinen, Eero Kajantie, Lee M Kaplan, Sekar Kathiresan, Johannes Kettunen, Leena Kinnunen, Joshua W Knowles, Ivana Kolčić, Inke R König, Seppo Koskinen, Peter Kovacs, Johanna Kuusisto, Peter Kraft, Kirsti Kvaløy, Jaana Laitinen, Olivier Lantieri, Chiara Lanzani, Lenore J Launer, Cécile Lecoeur, Terho Lehtimäki, Guillaume Lettre, Jianjun Liu, Marja-Liisa Lokki, Mattias Lorentzon, Robert N Luben, Barbara Ludwig, , Paolo Manunta, Diana Marek, Michel Marre, Nicholas G Martin, Wendy L McArdle, Anne McCarthy, Barbara McKnight, Thomas Meitinger, Olle Melander, David Meyre, Kristian Midthjell, Grant W Montgomery, Mario A Morken, Andrew P Morris, Rosanda Mulić, Julius S Ngwa, Mari Nelis, Matt J Neville, Dale R Nyholt, Christopher J O'Donnell, Stephen O'Rahilly, Ken K Ong, Ben Oostra, Guillaume Paré, Alex N Parker, Markus Perola, Irene Pichler, Kirsi H Pietiläinen, Carl G P Platou, Ozren Polašek, Anneli Pouta, Suzanne Rafelt, Olli Raitakari, Nigel W Rayner, Martin Ridderstråle, Winfried Rief, Aimo Ruokonen, Neil R Robertson, Peter Rzehak, Veikko Salomaa, Alan R Sanders, Manjinder S Sandhu, Serena Sanna, Jouko Saramies, Markku J Savolainen, Susann Scherag, Sabine Schipf, Stefan Schreiber, Heribert Schunkert, Kaisa Silander, Juha Sinisalo, David S Siscovick, Jan H Smit, Nicole Soranzo, Ulla Sovio, Jonathan Stephens, Ida Surakka, Amy J Swift, Mari-Liis Tammesoo, Jean-Claude Tardif, Maris Teder-Laving, Tanya M Teslovich, John R Thompson, Brian Thomson, Anke Tönjes, Tiinamaija Tuomi, Joyce B J van Meurs, Gert-Jan van Ommen, Vincent Vatin, Jorma Viikari, Sophie Visvikis-Siest, Veronique Vitart, Carla I G Vogel, Benjamin F Voight, Lindsay L Waite, Henri Wallaschofski, G Bragi Walters, Elisabeth Widén, Susanna Wiegand, Sarah H Wild, Gonneke Willemsen, Daniel R Witte, Jacqueline C Witteman, Jianfeng Xu, Qunyuan Zhang, Lina Zgaga, Andreas Ziegler, Paavo Zitting, John P Beilby, I Sadaf Farooqi, Johannes Hebebrand, Heikki V Huikuri, Alan L James, Mika Kähönen, Douglas F Levinson, Fabio Macciardi, Markku S Nieminen, Claes Ohlsson, Lyle J Palmer, Paul M Ridker, Michael Stumvoll, Jacques S Beckmann, Heiner Boeing, Eric Boerwinkle, Dorret I Boomsma, Mark J Caulfield, Stephen J Chanock, Francis S Collins, L Adrienne Cupples, George Davey Smith, Jeanette Erdmann, Philippe Froguel, Henrik Grönberg, Ulf Gyllensten, Per Hall, Torben Hansen, Tamara B Harris, Andrew T Hattersley, Richard B Hayes, Joachim Heinrich, Frank B Hu, Kristian Hveem, Thomas Illig, Marjo-Riitta Järvelin, Jaakko Kaprio, Fredrik Karpe, Kay-Tee Khaw, Lambertus A Kiemeney, Heiko Krude, Markku Laakso, Debbie A Lawlor, Andres Metspalu, Patricia B Munroe, Willem H Ouwehand, Oluf Pedersen, Brenda W Penninx, Annette Peters, Peter P Pramstaller, Thomas Quertermous, Thomas Reinehr, Aila Rissanen, Igor Rudan, Nilesh J Samani, Peter E H Schwarz, Alan R Shuldiner, Timothy D Spector, Jaakko Tuomilehto, Manuela Uda, André Uitterlinden, Timo T Valle, Martin Wabitsch, Gérard Waeber, Nicholas J Wareham, Hugh Watkins, James F Wilson, Alan F Wright, M Carola Zillikens, Nilanjan Chatterjee, Steven A McCarroll, Shaun Purcell, Eric E Schadt, Peter M Visscher, Themistocles L Assimes, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Leif C Groop, Talin Haritunians, David J Hunter, Robert C Kaplan, Karen L Mohlke, Jeffrey R O'Connell, Leena Peltonen, David Schlessinger, David P Strachan, Cornelia M van Duijn, H-Erich Wichmann, Timothy M Frayling, Unnur Thorsteinsdottir, Gonçalo R Abecasis, Inês Barroso, Michael Boehnke, Kari Stefansson, Kari E North, Mark I McCarthy, Joel N Hirschhorn, Erik Ingelsson, Ruth J F Loos.
Nat. Genet.
PUBLISHED: 05-13-2010
Show Abstract
Hide Abstract
Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ? 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10??), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.
Related JoVE Video
Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.
Iris M Heid, Anne U Jackson, Joshua C Randall, Thomas W Winkler, Lu Qi, Valgerdur Steinthorsdottir, Gudmar Thorleifsson, M Carola Zillikens, Elizabeth K Speliotes, Reedik Mägi, Tsegaselassie Workalemahu, Charles C White, Nabila Bouatia-Naji, Tamara B Harris, Sonja I Berndt, Erik Ingelsson, Cristen J Willer, Michael N Weedon, Jian'an Luan, Sailaja Vedantam, Tonu Esko, Tuomas O Kilpeläinen, Zoltan Kutalik, Shengxu Li, Keri L Monda, Anna L Dixon, Christopher C Holmes, Lee M Kaplan, Liming Liang, Josine L Min, Miriam F Moffatt, Cliona Molony, George Nicholson, Eric E Schadt, Krina T Zondervan, Mary F Feitosa, Teresa Ferreira, Hana Lango Allen, Robert J Weyant, Eleanor Wheeler, Andrew R Wood, , Karol Estrada, Michael E Goddard, Guillaume Lettre, Massimo Mangino, Dale R Nyholt, Shaun Purcell, Albert Vernon Smith, Peter M Visscher, Jian Yang, Steven A McCarroll, James Nemesh, Benjamin F Voight, Devin Absher, Najaf Amin, Thor Aspelund, Lachlan Coin, Nicole L Glazer, Caroline Hayward, Nancy L Heard-Costa, Jouke-Jan Hottenga, Asa Johansson, Toby Johnson, Marika Kaakinen, Karen Kapur, Shamika Ketkar, Joshua W Knowles, Peter Kraft, Aldi T Kraja, Claudia Lamina, Michael F Leitzmann, Barbara McKnight, Andrew P Morris, Ken K Ong, John R B Perry, Marjolein J Peters, Ozren Polašek, Inga Prokopenko, Nigel W Rayner, Samuli Ripatti, Fernando Rivadeneira, Neil R Robertson, Serena Sanna, Ulla Sovio, Ida Surakka, Alexander Teumer, Sophie van Wingerden, Veronique Vitart, Jing Hua Zhao, Christine Cavalcanti-Proença, Peter S Chines, Eva Fisher, Jennifer R Kulzer, Cécile Lecoeur, Narisu Narisu, Camilla Sandholt, Laura J Scott, Kaisa Silander, Klaus Stark, Mari-Liis Tammesoo, Tanya M Teslovich, Nicholas John Timpson, Richard M Watanabe, Ryan Welch, Daniel I Chasman, Matthew N Cooper, John-Olov Jansson, Johannes Kettunen, Robert W Lawrence, Niina Pellikka, Markus Perola, Liesbeth Vandenput, Helene Alavere, Peter Almgren, Larry D Atwood, Amanda J Bennett, Reiner Biffar, Lori L Bonnycastle, Stefan R Bornstein, Thomas A Buchanan, Harry Campbell, Ian N M Day, Mariano Dei, Marcus Dörr, Paul Elliott, Michael R Erdos, Johan G Eriksson, Nelson B Freimer, Mao Fu, Stefan Gaget, Eco J C Geus, Anette P Gjesing, Harald Grallert, Jürgen Gräßler, Christopher J Groves, Candace Guiducci, Anna-Liisa Hartikainen, Neelam Hassanali, Aki S Havulinna, Karl-Heinz Herzig, Andrew A Hicks, Jennie Hui, Wilmar Igl, Pekka Jousilahti, Antti Jula, Eero Kajantie, Leena Kinnunen, Ivana Kolčić, Seppo Koskinen, Peter Kovacs, Heyo K Kroemer, Vjekoslav Krželj, Johanna Kuusisto, Kirsti Kvaloy, Jaana Laitinen, Olivier Lantieri, G Mark Lathrop, Marja-Liisa Lokki, Robert N Luben, Barbara Ludwig, Wendy L McArdle, Anne McCarthy, Mario A Morken, Mari Nelis, Matt J Neville, Guillaume Paré, Alex N Parker, John F Peden, Irene Pichler, Kirsi H Pietiläinen, Carl G P Platou, Anneli Pouta, Martin Ridderstråle, Nilesh J Samani, Jouko Saramies, Juha Sinisalo, Jan H Smit, Rona J Strawbridge, Heather M Stringham, Amy J Swift, Maris Teder-Laving, Brian Thomson, Gianluca Usala, Joyce B J van Meurs, Gert-Jan van Ommen, Vincent Vatin, Claudia B Volpato, Henri Wallaschofski, G Bragi Walters, Elisabeth Widén, Sarah H Wild, Gonneke Willemsen, Daniel R Witte, Lina Zgaga, Paavo Zitting, John P Beilby, Alan L James, Mika Kähönen, Terho Lehtimäki, Markku S Nieminen, Claes Ohlsson, Lyle J Palmer, Olli Raitakari, Paul M Ridker, Michael Stumvoll, Anke Tönjes, Jorma Viikari, Beverley Balkau, Yoav Ben-Shlomo, Richard N Bergman, Heiner Boeing, George Davey Smith, Shah Ebrahim, Philippe Froguel, Torben Hansen, Christian Hengstenberg, Kristian Hveem, Bo Isomaa, Torben Jørgensen, Fredrik Karpe, Kay-Tee Khaw, Markku Laakso, Debbie A Lawlor, Michel Marre, Thomas Meitinger, Andres Metspalu, Kristian Midthjell, Oluf Pedersen, Veikko Salomaa, Peter E H Schwarz, Tiinamaija Tuomi, Jaakko Tuomilehto, Timo T Valle, Nicholas J Wareham, Alice M Arnold, Jacques S Beckmann, Sven Bergmann, Eric Boerwinkle, Dorret I Boomsma, Mark J Caulfield, Francis S Collins, Gudny Eiriksdottir, Vilmundur Gudnason, Ulf Gyllensten, Anders Hamsten, Andrew T Hattersley, Albert Hofman, Frank B Hu, Thomas Illig, Carlos Iribarren, Marjo-Riitta Järvelin, W H Linda Kao, Jaakko Kaprio, Lenore J Launer, Patricia B Munroe, Ben Oostra, Brenda W Penninx, Peter P Pramstaller, Bruce M Psaty, Thomas Quertermous, Aila Rissanen, Igor Rudan, Alan R Shuldiner, Nicole Soranzo, Timothy D Spector, Ann-Christine Syvänen, Manuela Uda, André Uitterlinden, Henry Völzke, Peter Vollenweider, James F Wilson, Jacqueline C Witteman, Alan F Wright, Gonçalo R Abecasis, Michael Boehnke, Ingrid B Borecki, Panos Deloukas, Timothy M Frayling, Leif C Groop, Talin Haritunians, David J Hunter, Robert C Kaplan, Kari E North, Jeffrey R O'Connell, Leena Peltonen, David Schlessinger, David P Strachan, Joel N Hirschhorn, Themistocles L Assimes, H-Erich Wichmann, Unnur Thorsteinsdottir, Cornelia M van Duijn, Kari Stefansson, L Adrienne Cupples, Ruth J F Loos, Inês Barroso, Mark I McCarthy, Caroline S Fox, Karen L Mohlke, Cecilia M Lindgren.
Nat. Genet.
PUBLISHED: 05-06-2010
Show Abstract
Hide Abstract
Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 × 10?? to P = 1.8 × 10???) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10?³ to P = 1.2 × 10?¹³). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.
Related JoVE Video
Use of genome-wide expression data to mine the "Gray Zone" of GWA studies leads to novel candidate obesity genes.
PLoS Genet.
PUBLISHED: 05-05-2010
Show Abstract
Hide Abstract
To get beyond the "low-hanging fruits" so far identified by genome-wide association (GWA) studies, new methods must be developed in order to discover the numerous remaining genes that estimates of heritability indicate should be contributing to complex human phenotypes, such as obesity. Here we describe a novel integrative method for complex disease gene identification utilizing both genome-wide transcript profiling of adipose tissue samples and consequent analysis of genome-wide association data generated in large SNP scans. We infer causality of genes with obesity by employing a unique set of monozygotic twin pairs discordant for BMI (n = 13 pairs, age 24-28 years, 15.4 kg mean weight difference) and contrast the transcript profiles with those from a larger sample of non-related adult individuals (N = 77). Using this approach, we were able to identify 27 genes with possibly causal roles in determining the degree of human adiposity. Testing for association of SNP variants in these 27 genes in the population samples of the large ENGAGE consortium (N = 21,000) revealed a significant deviation of P-values from the expected (P = 4x10(-4)). A total of 13 genes contained SNPs nominally associated with BMI. The top finding was blood coagulation factor F13A1 identified as a novel obesity gene also replicated in a second GWA set of approximately 2,000 individuals. This study presents a new approach to utilizing gene expression studies for informing choice of candidate genes for complex human phenotypes, such as obesity.
Related JoVE Video
Hundreds of variants clustered in genomic loci and biological pathways affect human height.
Hana Lango Allen, Karol Estrada, Guillaume Lettre, Sonja I Berndt, Michael N Weedon, Fernando Rivadeneira, Cristen J Willer, Anne U Jackson, Sailaja Vedantam, Soumya Raychaudhuri, Teresa Ferreira, Andrew R Wood, Robert J Weyant, Ayellet V Segrè, Elizabeth K Speliotes, Eleanor Wheeler, Nicole Soranzo, Ju-Hyun Park, Jian Yang, Daniel Gudbjartsson, Nancy L Heard-Costa, Joshua C Randall, Lu Qi, Albert Vernon Smith, Reedik Mägi, Tomi Pastinen, Liming Liang, Iris M Heid, Jian'an Luan, Gudmar Thorleifsson, Thomas W Winkler, Michael E Goddard, Ken Sin Lo, Cameron Palmer, Tsegaselassie Workalemahu, Yurii S Aulchenko, Asa Johansson, M Carola Zillikens, Mary F Feitosa, Tonu Esko, Toby Johnson, Shamika Ketkar, Peter Kraft, Massimo Mangino, Inga Prokopenko, Devin Absher, Eva Albrecht, Florian Ernst, Nicole L Glazer, Caroline Hayward, Jouke-Jan Hottenga, Kevin B Jacobs, Joshua W Knowles, Zoltan Kutalik, Keri L Monda, Ozren Polašek, Michael Preuss, Nigel W Rayner, Neil R Robertson, Valgerdur Steinthorsdottir, Jonathan P Tyrer, Benjamin F Voight, Fredrik Wiklund, Jianfeng Xu, Jing Hua Zhao, Dale R Nyholt, Niina Pellikka, Markus Perola, John R B Perry, Ida Surakka, Mari-Liis Tammesoo, Elizabeth L Altmaier, Najaf Amin, Thor Aspelund, Tushar Bhangale, Gabrielle Boucher, Daniel I Chasman, Constance Chen, Lachlan Coin, Matthew N Cooper, Anna L Dixon, Quince Gibson, Elin Grundberg, Ke Hao, M Juhani Junttila, Lee M Kaplan, Johannes Kettunen, Inke R König, Tony Kwan, Robert W Lawrence, Douglas F Levinson, Mattias Lorentzon, Barbara McKnight, Andrew P Morris, Martina Müller, Julius Suh Ngwa, Shaun Purcell, Suzanne Rafelt, Rany M Salem, Erika Salvi, Serena Sanna, Jianxin Shi, Ulla Sovio, John R Thompson, Michael C Turchin, Liesbeth Vandenput, Dominique J Verlaan, Veronique Vitart, Charles C White, Andreas Ziegler, Peter Almgren, Anthony J Balmforth, Harry Campbell, Lorena Citterio, Alessandro De Grandi, Anna Dominiczak, Jubao Duan, Paul Elliott, Roberto Elosua, Johan G Eriksson, Nelson B Freimer, Eco J C Geus, Nicola Glorioso, Shen Haiqing, Anna-Liisa Hartikainen, Aki S Havulinna, Andrew A Hicks, Jennie Hui, Wilmar Igl, Thomas Illig, Antti Jula, Eero Kajantie, Tuomas O Kilpeläinen, Markku Koiranen, Ivana Kolčić, Seppo Koskinen, Peter Kovacs, Jaana Laitinen, Jianjun Liu, Marja-Liisa Lokki, Ana Marušić, Andrea Maschio, Thomas Meitinger, Antonella Mulas, Guillaume Paré, Alex N Parker, John F Peden, Astrid Petersmann, Irene Pichler, Kirsi H Pietiläinen, Anneli Pouta, Martin Ridderstråle, Jerome I Rotter, Jennifer G Sambrook, Alan R Sanders, Carsten Oliver Schmidt, Juha Sinisalo, Jan H Smit, Heather M Stringham, G Bragi Walters, Elisabeth Widén, Sarah H Wild, Gonneke Willemsen, Laura Zagato, Lina Zgaga, Paavo Zitting, Helene Alavere, Martin Farrall, Wendy L McArdle, Mari Nelis, Marjolein J Peters, Samuli Ripatti, Joyce B J van Meurs, Katja K Aben, Kristin G Ardlie, Jacques S Beckmann, John P Beilby, Richard N Bergman, Sven Bergmann, Francis S Collins, Daniele Cusi, Martin den Heijer, Gudny Eiriksdottir, Pablo V Gejman, Alistair S Hall, Anders Hamsten, Heikki V Huikuri, Carlos Iribarren, Mika Kähönen, Jaakko Kaprio, Sekar Kathiresan, Lambertus Kiemeney, Thomas Kocher, Lenore J Launer, Terho Lehtimäki, Olle Melander, Tom H Mosley, Arthur W Musk, Markku S Nieminen, Christopher J O'Donnell, Claes Ohlsson, Ben Oostra, Lyle J Palmer, Olli Raitakari, Paul M Ridker, John D Rioux, Aila Rissanen, Carlo Rivolta, Heribert Schunkert, Alan R Shuldiner, David S Siscovick, Michael Stumvoll, Anke Tönjes, Jaakko Tuomilehto, Gert-Jan van Ommen, Jorma Viikari, Andrew C Heath, Nicholas G Martin, Grant W Montgomery, Michael A Province, Manfred Kayser, Alice M Arnold, Larry D Atwood, Eric Boerwinkle, Stephen J Chanock, Panos Deloukas, Christian Gieger, Henrik Grönberg, Per Hall, Andrew T Hattersley, Christian Hengstenberg, Wolfgang Hoffman, G Mark Lathrop, Veikko Salomaa, Stefan Schreiber, Manuela Uda, Dawn Waterworth, Alan F Wright, Themistocles L Assimes, Inês Barroso, Albert Hofman, Karen L Mohlke, Dorret I Boomsma, Mark J Caulfield, L Adrienne Cupples, Jeanette Erdmann, Caroline S Fox, Vilmundur Gudnason, Ulf Gyllensten, Tamara B Harris, Richard B Hayes, Marjo-Riitta Järvelin, Vincent Mooser, Patricia B Munroe, Willem H Ouwehand, Brenda W Penninx, Peter P Pramstaller, Thomas Quertermous, Igor Rudan, Nilesh J Samani, Timothy D Spector, Henry Völzke, Hugh Watkins, James F Wilson, Leif C Groop, Talin Haritunians, Frank B Hu, Robert C Kaplan, Andres Metspalu, Kari E North, David Schlessinger, Nicholas J Wareham, David J Hunter, Jeffrey R O'Connell, David P Strachan, H-Erich Wichmann, Ingrid B Borecki, Cornelia M van Duijn, Eric E Schadt, Unnur Thorsteinsdottir, Leena Peltonen, André G Uitterlinden, Peter M Visscher, Nilanjan Chatterjee, Ruth J F Loos, Michael Boehnke, Mark I McCarthy, Erik Ingelsson, Cecilia M Lindgren, Gonçalo R Abecasis, Kari Stefansson, Timothy M Frayling, Joel N Hirschhorn.
Nature
PUBLISHED: 04-23-2010
Show Abstract
Hide Abstract
Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P?
Related JoVE Video
Psychiatric comorbidity in couples: a longitudinal study of 202,959 married and cohabiting individuals.
Soc Psychiatry Psychiatr Epidemiol
PUBLISHED: 04-13-2010
Show Abstract
Hide Abstract
To examine whether partners psychiatric and somatic disorders are risk factors for incidence of psychiatric disorders among non-psychiatric individuals at baseline.
Related JoVE Video
An immune response network associated with blood lipid levels.
PLoS Genet.
PUBLISHED: 04-08-2010
Show Abstract
Hide Abstract
While recent scans for genetic variation associated with human disease have been immensely successful in uncovering large numbers of loci, far fewer studies have focused on the underlying pathways of disease pathogenesis. Many loci which are associated with disease and complex phenotypes map to non-coding, regulatory regions of the genome, indicating that modulation of gene transcription plays a key role. Thus, this study generated genome-wide profiles of both genetic and transcriptional variation from the total blood extracts of over 500 randomly-selected, unrelated individuals. Using measurements of blood lipids, key players in the progression of atherosclerosis, three levels of biological information are integrated in order to investigate the interactions between circulating leukocytes and proximal lipid compounds. Pair-wise correlations between gene expression and lipid concentration indicate a prominent role for basophil granulocytes and mast cells, cell types central to powerful allergic and inflammatory responses. Network analysis of gene co-expression showed that the top associations function as part of a single, previously unknown gene module, the Lipid Leukocyte (LL) module. This module replicated in T cells from an independent cohort while also displaying potential tissue specificity. Further, genetic variation driving LL module expression included the single nucleotide polymorphism (SNP) most strongly associated with serum immunoglobulin E (IgE) levels, a key antibody in allergy. Structural Equation Modeling (SEM) indicated that LL module is at least partially reactive to blood lipid levels. Taken together, this study uncovers a gene network linking blood lipids and circulating cell types and offers insight into the hypothesis that the inflammatory response plays a prominent role in metabolism and the potential control of atherogenesis.
Related JoVE Video
Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior.
Thorgeir E Thorgeirsson, Daniel F Gudbjartsson, Ida Surakka, Jacqueline M Vink, Najaf Amin, Frank Geller, Patrick Sulem, Thorunn Rafnar, Tonu Esko, Stefan Walter, Christian Gieger, Rajesh Rawal, Massimo Mangino, Inga Prokopenko, Reedik Mägi, Kaisu Keskitalo, Iris H Gudjonsdottir, Solveig Gretarsdottir, Hreinn Stefansson, John R Thompson, Yurii S Aulchenko, Mari Nelis, Katja K Aben, Martin den Heijer, Asger Dirksen, Haseem Ashraf, Nicole Soranzo, Ana M Valdes, Claire Steves, André G Uitterlinden, Albert Hofman, Anke Tönjes, Peter Kovacs, Jouke Jan Hottenga, Gonneke Willemsen, Nicole Vogelzangs, Angela Döring, Norbert Dahmen, Barbara Nitz, Michele L Pergadia, Berta Saez, Verónica De Diego, Victoria Lezcano, Maria D Garcia-Prats, Samuli Ripatti, Markus Perola, Johannes Kettunen, Anna-Liisa Hartikainen, Anneli Pouta, Jaana Laitinen, Matti Isohanni, Shen Huei-Yi, Maxine Allen, Maria Krestyaninova, Alistair S Hall, Gregory T Jones, Andre M van Rij, Thomas Mueller, Benjamin Dieplinger, Meinhard Haltmayer, Steinn Jonsson, Stefan E Matthiasson, Högni Oskarsson, Thorarinn Tyrfingsson, Lambertus A Kiemeney, Jose I Mayordomo, Jes S Lindholt, Jesper Holst Pedersen, Wilbur A Franklin, Holly Wolf, Grant W Montgomery, Andrew C Heath, Nicholas G Martin, Pamela A F Madden, Ina Giegling, Dan Rujescu, Marjo-Riitta Järvelin, Veikko Salomaa, Michael Stumvoll, Tim D Spector, H-Erich Wichmann, Andres Metspalu, Nilesh J Samani, Brenda W Penninx, Ben A Oostra, Dorret I Boomsma, Henning Tiemeier, Cornelia M van Duijn, Jaakko Kaprio, Jeffrey R Gulcher, , Mark I McCarthy, Leena Peltonen, Unnur Thorsteinsdottir, Kari Stefansson.
Nat. Genet.
PUBLISHED: 03-18-2010
Show Abstract
Hide Abstract
Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9,040). Variants in three genomic regions associated with CPD (P < 5 x 10(-8)), including previously identified SNPs at 15q25 represented by rs1051730[A] (effect size = 0.80 CPD, P = 2.4 x 10(-69)), and SNPs at 19q13 and 8p11, represented by rs4105144[C] (effect size = 0.39 CPD, P = 2.2 x 10(-12)) and rs6474412-T (effect size = 0.29 CPD, P = 1.4 x 10(-8)), respectively. Among the genes at the two newly associated loci are genes encoding nicotine-metabolizing enzymes (CYP2A6 and CYP2B6) and nicotinic acetylcholine receptor subunits (CHRNB3 and CHRNA6), all of which have been highlighted in previous studies of smoking and nicotine dependence. Nominal associations with lung cancer were observed at both 8p11 (rs6474412[T], odds ratio (OR) = 1.09, P = 0.04) and 19q13 (rs4105144[C], OR = 1.12, P = 0.0006).
Related JoVE Video
Distinct variants at LIN28B influence growth in height from birth to adulthood.
Am. J. Hum. Genet.
PUBLISHED: 03-14-2010
Show Abstract
Hide Abstract
We have studied the largely unknown genetic underpinnings of height growth by using a unique resource of longitudinal childhood height data available in Finnish population cohorts. After applying GWAS mapping of potential genes influencing pubertal height growth followed by further characterization of the genetic effects on complete postnatal growth trajectories, we have identified strong association between variants near LIN28B and pubertal growth (rs7759938; female p = 4.0 x 10(-9), male p = 1.5 x 10(-4), combined p = 5.0 x 10(-11), n = 5038). Analysis of growth during early puberty confirmed an effect on the timing of the growth spurt. Correlated SNPs have previously been implicated as influencing both adult stature and age at menarche, the same alleles associating with taller height and later age of menarche in other studies as with later pubertal growth here. Additionally, a partially correlated LIN28B SNP, rs314277, has been associated previously with final height. Testing both rs7759938 and rs314277 (pairwise r(2) = 0.29) for independent effects on postnatal growth in 8903 subjects indicated that the pubertal timing-associated marker rs7759938 affects prepubertal growth in females (p = 7 x 10(-5)) and final height in males (p = 5 x 10(-4)), whereas rs314277 has sex-specific effects on growth (p for interaction = 0.005) that were distinct from those observed at rs7759938. In conclusion, partially correlated variants at LIN28B tag distinctive, complex, and sex-specific height-growth-regulating effects, influencing the entire period of postnatal growth. These findings imply a critical role for LIN28B in the regulation of human growth.
Related JoVE Video
Biological, clinical and population relevance of 95 loci for blood lipids.
Tanya M Teslovich, Kiran Musunuru, Albert V Smith, Andrew C Edmondson, Ioannis M Stylianou, Masahiro Koseki, James P Pirruccello, Samuli Ripatti, Daniel I Chasman, Cristen J Willer, Christopher T Johansen, Sigrid W Fouchier, Aaron Isaacs, Gina M Peloso, Maja Barbalic, Sally L Ricketts, Joshua C Bis, Yurii S Aulchenko, Gudmar Thorleifsson, Mary F Feitosa, John Chambers, Marju Orho-Melander, Olle Melander, Toby Johnson, Xiaohui Li, Xiuqing Guo, Mingyao Li, Yoon Shin Cho, Min Jin Go, Young Jin Kim, Jong-Young Lee, Taesung Park, Kyunga Kim, Xueling Sim, Rick Twee-Hee Ong, Damien C Croteau-Chonka, Leslie A Lange, Joshua D Smith, Kijoung Song, Jing Hua Zhao, Xin Yuan, Jian'an Luan, Claudia Lamina, Andreas Ziegler, Weihua Zhang, Robert Y L Zee, Alan F Wright, Jacqueline C M Witteman, James F Wilson, Gonneke Willemsen, H-Erich Wichmann, John B Whitfield, Dawn M Waterworth, Nicholas J Wareham, Gérard Waeber, Peter Vollenweider, Benjamin F Voight, Veronique Vitart, André G Uitterlinden, Manuela Uda, Jaakko Tuomilehto, John R Thompson, Toshiko Tanaka, Ida Surakka, Heather M Stringham, Tim D Spector, Nicole Soranzo, Johannes H Smit, Juha Sinisalo, Kaisa Silander, Eric J G Sijbrands, Angelo Scuteri, James Scott, David Schlessinger, Serena Sanna, Veikko Salomaa, Juha Saharinen, Chiara Sabatti, Aimo Ruokonen, Igor Rudan, Lynda M Rose, Robert Roberts, Mark Rieder, Bruce M Psaty, Peter P Pramstaller, Irene Pichler, Markus Perola, Brenda W J H Penninx, Nancy L Pedersen, Cristian Pattaro, Alex N Parker, Guillaume Paré, Ben A Oostra, Christopher J O'Donnell, Markku S Nieminen, Deborah A Nickerson, Grant W Montgomery, Thomas Meitinger, Ruth McPherson, Mark I McCarthy, Wendy McArdle, David Masson, Nicholas G Martin, Fabio Marroni, Massimo Mangino, Patrik K E Magnusson, Gavin Lucas, Robert Luben, Ruth J F Loos, Marja-Liisa Lokki, Guillaume Lettre, Claudia Langenberg, Lenore J Launer, Edward G Lakatta, Reijo Laaksonen, Kirsten O Kyvik, Florian Kronenberg, Inke R König, Kay-Tee Khaw, Jaakko Kaprio, Lee M Kaplan, Asa Johansson, Marjo-Riitta Järvelin, A Cecile J W Janssens, Erik Ingelsson, Wilmar Igl, G Kees Hovingh, Jouke-Jan Hottenga, Albert Hofman, Andrew A Hicks, Christian Hengstenberg, Iris M Heid, Caroline Hayward, Aki S Havulinna, Nicholas D Hastie, Tamara B Harris, Talin Haritunians, Alistair S Hall, Ulf Gyllensten, Candace Guiducci, Leif C Groop, Elena González, Christian Gieger, Nelson B Freimer, Luigi Ferrucci, Jeanette Erdmann, Paul Elliott, Kenechi G Ejebe, Angela Döring, Anna F Dominiczak, Serkalem Demissie, Panagiotis Deloukas, Eco J C de Geus, Ulf de Faire, Gabriel Crawford, Francis S Collins, Yii-Der I Chen, Mark J Caulfield, Harry Campbell, Noel P Burtt, Lori L Bonnycastle, Dorret I Boomsma, S Matthijs Boekholdt, Richard N Bergman, Inês Barroso, Stefania Bandinelli, Christie M Ballantyne, Themistocles L Assimes, Thomas Quertermous, David Altshuler, Mark Seielstad, Tien Y Wong, E-Shyong Tai, Alan B Feranil, Christopher W Kuzawa, Linda S Adair, Herman A Taylor, Ingrid B Borecki, Stacey B Gabriel, James G Wilson, Hilma Holm, Unnur Thorsteinsdottir, Vilmundur Gudnason, Ronald M Krauss, Karen L Mohlke, José M Ordovás, Patricia B Munroe, Jaspal S Kooner, Alan R Tall, Robert A Hegele, John J P Kastelein, Eric E Schadt, Jerome I Rotter, Eric Boerwinkle, David P Strachan, Vincent Mooser, Kari Stefansson, Muredach P Reilly, Nilesh J Samani, Heribert Schunkert, L Adrienne Cupples, Manjinder S Sandhu, Paul M Ridker, Daniel J Rader, Cornelia M van Duijn, Leena Peltonen, Gonçalo R Abecasis, Michael Boehnke, Sekar Kathiresan.
Nature
PUBLISHED: 02-25-2010
Show Abstract
Hide Abstract
Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
Related JoVE Video
Childhood adversities are associated with shorter telomere length at adult age both in individuals with an anxiety disorder and controls.
PLoS ONE
PUBLISHED: 02-15-2010
Show Abstract
Hide Abstract
Accelerated leukocyte telomere shortening has been previously associated to self-perceived stress and psychiatric disorders, including schizophrenia and mood disorders. We set out to investigate whether telomere length is affected in patients with anxiety disorders in which stress is a known risk factor. We also studied the effects of childhood and recent psychological distress on telomere length. We utilized samples from the nationally representative population-based Health 2000 Survey that was carried out between 2000-2001 in Finland to assess major public health problems and their determinants. We measured the relative telomere length of the peripheral blood cells by quantitative real-time PCR from 321 individuals with DSM-IV anxiety disorder or subthreshold diagnosis and 653 matched controls aged 30-87 years, who all had undergone the Composite International Diagnostic Interview. While telomere length did not differ significantly between cases and controls in the entire cohort, the older half of the anxiety disorder patients (48-87 years) exhibited significantly shorter telomeres than healthy controls of the same age (P = 0.013). Interestingly, shorter telomere length was also associated with a greater number of reported childhood adverse life events, among both the anxiety disorder cases and controls (P = 0.005). Childhood chronic or serious illness was the most significantly associated single event affecting telomere length at the adult age (P = 0.004). Self-reported current psychological distress did not affect telomere length. Our results suggest that childhood stress might lead to accelerated telomere shortening seen at the adult age. This finding has potentially important implications supporting the view that childhood adversities might have a considerable impact on well being later in life.
Related JoVE Video
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
Josée Dupuis, Claudia Langenberg, Inga Prokopenko, Richa Saxena, Nicole Soranzo, Anne U Jackson, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Anna L Gloyn, Cecilia M Lindgren, Reedik Mägi, Andrew P Morris, Joshua Randall, Toby Johnson, Paul Elliott, Denis Rybin, Gudmar Thorleifsson, Valgerdur Steinthorsdottir, Peter Henneman, Harald Grallert, Abbas Dehghan, Jouke Jan Hottenga, Christopher S Franklin, Pau Navarro, Kijoung Song, Anuj Goel, John R B Perry, Josephine M Egan, Taina Lajunen, Niels Grarup, Thomas Sparsø, Alex Doney, Benjamin F Voight, Heather M Stringham, Man Li, Stavroula Kanoni, Peter Shrader, Christine Cavalcanti-Proença, Meena Kumari, Lu Qi, Nicholas J Timpson, Christian Gieger, Carina Zabena, Ghislain Rocheleau, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Felicity Payne, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Kristin Ardlie, Yavuz Ariyurek, Beverley Balkau, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Rafn Benediktsson, Amanda J Bennett, Sven Bergmann, Murielle Bochud, Eric Boerwinkle, Amélie Bonnefond, Lori L Bonnycastle, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Guillaume Charpentier, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Marilyn Cornelis, Gabe Crawford, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jérôme Delplanque, Christian Dina, Michael R Erdos, Annette C Fedson, Antje Fischer-Rosinský, Nita G Forouhi, Caroline S Fox, Rune Frants, Maria Grazia Franzosi, Pilar Galán, Mark O Goodarzi, Jurgen Graessler, Christopher J Groves, Scott Grundy, Rhian Gwilliam, Ulf Gyllensten, Samy Hadjadj, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Neelam Hassanali, Caroline Hayward, Simon C Heath, Serge Hercberg, Christian Herder, Andrew A Hicks, David R Hillman, Aroon D Hingorani, Albert Hofman, Jennie Hui, Joe Hung, Bo Isomaa, Paul R V Johnson, Torben Jørgensen, Antti Jula, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesäniemi, Mika Kivimäki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Valeriya Lyssenko, Robert Mahley, Massimo Mangino, Alisa K Manning, María Teresa Martínez-Larrad, Jarred B McAteer, Laura J McCulloch, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Mario A Morken, Sutapa Mukherjee, Silvia Naitza, Narisu Narisu, Matthew J Neville, Ben A Oostra, Marco Orrù, Ruth Pakyz, Colin N A Palmer, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Markus Perola, Andreas F H Pfeiffer, Irene Pichler, Ozren Polašek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Bruce M Psaty, Wolfgang Rathmann, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Michael Roden, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Laura J Scott, Udo Seedorf, Stephen J Sharp, Beverley Shields, Gunnar Sigurethsson, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Toshiko Tanaka, Barbara Thorand, Jean Tichet, Anke Tönjes, Tiinamaija Tuomi, André G Uitterlinden, Ko Willems van Dijk, Mandy van Hoek, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, G Bragi Walters, Kim L Ward, Hugh Watkins, Michael N Weedon, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Eleftheria Zeggini, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, , Ingrid B Borecki, Ruth J F Loos, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Andrew T Hattersley, Kaisa Silander, Veikko Salomaa, George Davey Smith, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, George V Dedoussis, Manuel Serrano-Ríos, Andrew D Morris, Lars Lind, Lyle J Palmer, Frank B Hu, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, James S Pankow, Michael J Sampson, Johanna Kuusisto, Markku Laakso, Torben Hansen, Oluf Pedersen, Peter Paul Pramstaller, H Erich Wichmann, Thomas Illig, Igor Rudan, Alan F Wright, Michael Stumvoll, Harry Campbell, James F Wilson, Richard N Bergman, Thomas A Buchanan, Francis S Collins, Karen L Mohlke, Jaakko Tuomilehto, Timo T Valle, David Altshuler, Jerome I Rotter, David S Siscovick, Brenda W J H Penninx, Dorret I Boomsma, Panos Deloukas, Timothy D Spector, Timothy M Frayling, Luigi Ferrucci, Augustine Kong, Unnur Thorsteinsdottir, Kari Stefansson, Cornelia M van Duijn, Yurii S Aulchenko, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Järvelin, Dawn M Waterworth, Peter Vollenweider, Leena Peltonen, Vincent Mooser, Gonçalo R Abecasis, Nicholas J Wareham, Robert Sladek, Philippe Froguel, Richard M Watanabe, James B Meigs, Leif Groop, Michael Boehnke, Mark I McCarthy, Jose C Florez, Inês Barroso.
Nat. Genet.
PUBLISHED: 01-17-2010
Show Abstract
Hide Abstract
Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
Related JoVE Video
European lactase persistence genotype shows evidence of association with increase in body mass index.
Hum. Mol. Genet.
PUBLISHED: 12-16-2009
Show Abstract
Hide Abstract
The global prevalence of obesity has increased significantly in recent decades, mainly due to excess calorie intake and increasingly sedentary lifestyle. Here, we test the association between obesity measured by body mass index (BMI) and one of the best-known genetic variants showing strong selective pressure: the functional variant in the cis-regulatory element of the lactase gene. We tested this variant since it is presumed to provide nutritional advantage in specific physical and cultural environments. We genetically defined lactase persistence (LP) in 31 720 individuals from eight European population-based studies and one family study by genotyping or imputing the European LP variant (rs4988235). We performed a meta-analysis by pooling the beta-coefficient estimates of the relationship between rs4988235 and BMI from the nine studies and found that the carriers of the allele responsible for LP among Europeans showed higher BMI (P = 7.9 x 10(-5)). Since this locus has been shown to be prone to population stratification, we paid special attention to reveal any population substructure which might be responsible for the association signal. The best evidence of exclusion of stratification came from the Dutch family sample which is robust for stratification. In this study, we highlight issues in model selection in the genome-wide association studies and problems in imputation of these special genomic regions.
Related JoVE Video
Genetic association and interaction analysis of USF1 and APOA5 on lipid levels and atherosclerosis.
Arterioscler. Thromb. Vasc. Biol.
PUBLISHED: 11-12-2009
Show Abstract
Hide Abstract
USF1 is a ubiquitous transcription factor governing the expression of numerous genes of lipid and glucose metabolism. APOA5 is a well-established candidate gene regulating triglyceride (TG) levels and has been identified as a downstream target of upstream stimulatory factor. No detailed studies about the effect of APOA5 on atherosclerotic lesion formation have been conducted, nor has its potential interaction with USF1 been examined.
Related JoVE Video
Association of serum cotinine level with a cluster of three nicotinic acetylcholine receptor genes (CHRNA3/CHRNA5/CHRNB4) on chromosome 15.
Hum. Mol. Genet.
PUBLISHED: 07-23-2009
Show Abstract
Hide Abstract
A cluster of three nicotinic acetylcholine receptor genes on chromosome 15 (CHRNA5/CHRNA3/CHRNB4) has been shown to be associated with nicotine dependence and smoking quantity. The aim of this study was to clarify whether the variation at this locus regulates nicotine intake among smokers by using the level of a metabolite of nicotine, cotinine, as an outcome. The number of cigarettes smoked per day (CPD) and immune-reactive serum cotinine level were determined in 516 daily smokers (age 30-75 years, 303 males) from the population-based Health2000 study. Association of 21 SNPs from a 100 kb region of chromosome 15 with cotinine and CPD was examined. SNP rs1051730 showed the strongest association to both measures. However, this SNP accounted for nearly a five-fold larger proportion of variance in cotinine levels than in CPD (R(2) 4.3% versus 0.9%). The effect size of the SNP was 0.30 for cotinine level, whereas it was 0.13 for CPD. Variation at CHRNA5/CHRNA3/CHRNB4 cluster influences nicotine level, measured as cotinine, more strongly than smoking quantity, measured by CPD, and appears thus to be involved in regulation of nicotine levels among smokers.
Related JoVE Video

What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.