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Find video protocols related to scientific articles indexed in Pubmed.
Loci influencing blood pressure identified using a cardiovascular gene-centric array.
Santhi K Ganesh, Vinicius Tragante, Wei Guo, Yiran Guo, Matthew B Lanktree, Erin N Smith, Toby Johnson, Berta Almoguera Castillo, John Barnard, Jens Baumert, Yen-Pei Christy Chang, Clara C Elbers, Martin Farrall, Mary E Fischer, Nora Franceschini, Tom R Gaunt, Johannes M I H Gho, Christian Gieger, Yan Gong, Aaron Isaacs, Marcus E Kleber, Irene Mateo Leach, Caitrin W McDonough, Matthijs F L Meijs, Olle Mellander, Cliona M Molony, Ilja M Nolte, Sandosh Padmanabhan, Tom S Price, Ramakrishnan Rajagopalan, Jonathan Shaffer, Sonia Shah, Haiqing Shen, Nicole Soranzo, Peter J van der Most, Erik P A van Iperen, Jessica van Setten, Jessic A Van Setten, Judith M Vonk, Li Zhang, Amber L Beitelshees, Gerald S Berenson, Deepak L Bhatt, Jolanda M A Boer, Eric Boerwinkle, Ben Burkley, Amber Burt, Aravinda Chakravarti, Wei Chen, Rhonda M Cooper-DeHoff, Sean P Curtis, Albert Dreisbach, David Duggan, Georg B Ehret, Richard R Fabsitz, Myriam Fornage, Ervin Fox, Clement E Furlong, Ron T Gansevoort, Marten H Hofker, G Kees Hovingh, Susan A Kirkland, Kandice Kottke-Marchant, Abdullah Kutlar, Andrea Z LaCroix, Taimour Y Langaee, Yun R Li, Honghuang Lin, Kiang Liu, Steffi Maiwald, Rainer Malik, , Gurunathan Murugesan, Christopher Newton-Cheh, Jeffery R O'Connell, N Charlotte Onland-Moret, Willem H Ouwehand, Walter Palmas, Brenda W Penninx, Carl J Pepine, Mary Pettinger, Joseph F Polak, Vasan S Ramachandran, Jane Ranchalis, Susan Redline, Paul M Ridker, Lynda M Rose, Hubert Scharnag, Nicholas J Schork, Daichi Shimbo, Alan R Shuldiner, Sathanur R Srinivasan, Ronald P Stolk, Herman A Taylor, Barbara Thorand, Mieke D Trip, Cornelia M van Duijn, W Monique Verschuren, Cisca Wijmenga, Bernhard R Winkelmann, Sharon Wyatt, J Hunter Young, Bernhard O Boehm, Mark J Caulfield, Daniel I Chasman, Karina W Davidson, Pieter A Doevendans, Garret A FitzGerald, John G Gums, Hakon Hakonarson, Hans L Hillege, Thomas Illig, Gail P Jarvik, Julie A Johnson, John J P Kastelein, Wolfgang Koenig, Winfried März, Braxton D Mitchell, Sarah S Murray, Albertine J Oldehinkel, Daniel J Rader, Muredach P Reilly, Alex P Reiner, Eric E Schadt, Roy L Silverstein, Harold Snieder, Alice V Stanton, André G Uitterlinden, Pim van der Harst, Yvonne T van der Schouw, Nilesh J Samani, Andrew D Johnson, Patricia B Munroe, Paul I W de Bakker, Xiaofeng Zhu, Daniel Levy, Brendan J Keating, Folkert W Asselbergs.
Hum. Mol. Genet.
PUBLISHED: 01-08-2013
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Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ?50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ?2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10(-6)). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.
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Two variants of the C-reactive protein gene are associated with risk of pre-eclampsia in an American Indian population.
PLoS ONE
PUBLISHED: 01-01-2013
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The etiology of pre-eclampsia (PE) is unknown; but it is accepted that normal pregnancy represents a distinctive challenge to the maternal immune system. C-reactive protein is a prominent component of the innate immune system; and we previously reported an association between PE and the CRP polymorphism, rs1205. Our aim was to explore the effects of additional CRP variants. The IBC (Cardiochip) genotyping microarray focuses on candidate genes and pathways related to the pathophysiology of cardiovascular disease.
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Gene-centric meta-analysis of lipid traits in African, East Asian and Hispanic populations.
PLoS ONE
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Meta-analyses of European populations has successfully identified genetic variants in over 100 loci associated with lipid levels, but our knowledge in other ethnicities remains limited. To address this, we performed dense genotyping of ?2,000 candidate genes in 7,657 African Americans, 1,315 Hispanics and 841 East Asians, using the IBC array, a custom ?50,000 SNP genotyping array. Meta-analyses confirmed 16 lipid loci previously established in European populations at genome-wide significance level, and found multiple independent association signals within these lipid loci. Initial discovery and in silico follow-up in 7,000 additional African American samples, confirmed two novel loci: rs5030359 within ICAM1 is associated with total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) (p?=?8.8×10(-7) and p?=?1.5×10(-6) respectively) and a nonsense mutation rs3211938 within CD36 is associated with high-density lipoprotein cholesterol (HDL-C) levels (p?=?13.5×10(-12)). The rs3211938-G allele, which is nearly absent in European and Asian populations, has been previously found to be associated with CD36 deficiency and shows a signature of selection in Africans and African Americans. Finally, we have evaluated the effect of SNPs established in European populations on lipid levels in multi-ethnic populations and show that most known lipid association signals span across ethnicities. However, differences between populations, especially differences in allele frequency, can be leveraged to identify novel signals, as shown by the discovery of ICAM1 and CD36 in the current report.
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Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci.
Richa Saxena, Clara C Elbers, Yiran Guo, Inga Peter, Tom R Gaunt, Jessica L Mega, Matthew B Lanktree, Archana Tare, Berta Almoguera Castillo, Yun R Li, Toby Johnson, Marcel Bruinenberg, Diane Gilbert-Diamond, Ramakrishnan Rajagopalan, Benjamin F Voight, Ashok Balasubramanyam, John Barnard, Florianne Bauer, Jens Baumert, Tushar Bhangale, Bernhard O Böhm, Peter S Braund, Paul R Burton, Hareesh R Chandrupatla, Robert Clarke, Rhonda M Cooper-DeHoff, Errol D Crook, George Davey-Smith, Ian N Day, Anthonius de Boer, Mark C H de Groot, Fotios Drenos, Jane Ferguson, Caroline S Fox, Clement E Furlong, Quince Gibson, Christian Gieger, Lisa A Gilhuijs-Pederson, Joseph T Glessner, Anuj Goel, Yan Gong, Struan F A Grant, Diederick E Grobbee, Claire Hastie, Steve E Humphries, Cecilia E Kim, Mika Kivimäki, Marcus Kleber, Christa Meisinger, Meena Kumari, Taimour Y Langaee, Debbie A Lawlor, Mingyao Li, Maximilian T Lobmeyer, Anke-Hilse Maitland-van der Zee, Matthijs F L Meijs, Cliona M Molony, David A Morrow, Gurunathan Murugesan, Solomon K Musani, Christopher P Nelson, Stephen J Newhouse, Jeffery R O'Connell, Sandosh Padmanabhan, Jutta Palmen, Sanjey R Patel, Carl J Pepine, Mary Pettinger, Thomas S Price, Suzanne Rafelt, Jane Ranchalis, Asif Rasheed, Elisabeth Rosenthal, Ingo Ruczinski, Sonia Shah, Haiqing Shen, Günther Silbernagel, Erin N Smith, Annemieke W M Spijkerman, Alice Stanton, Michael W Steffes, Barbara Thorand, Mieke Trip, Pim van der Harst, Daphne L van der A, Erik P A van Iperen, Jessica van Setten, Jana V van Vliet-Ostaptchouk, Niek Verweij, Bruce H R Wolffenbuttel, Taylor Young, M Hadi Zafarmand, Joseph M Zmuda, , Michael Boehnke, David Altshuler, Mark McCarthy, W H Linda Kao, James S Pankow, Thomas P Cappola, Peter Sever, Neil Poulter, Mark Caulfield, Anna Dominiczak, Denis C Shields, Deepak L Bhatt, Deepak Bhatt, Li Zhang, Sean P Curtis, John Danesh, Juan P Casas, Yvonne T van der Schouw, N Charlotte Onland-Moret, Pieter A Doevendans, Gerald W Dorn, Martin Farrall, Garret A FitzGerald, Anders Hamsten, Robert Hegele, Aroon D Hingorani, Marten H Hofker, Gordon S Huggins, Thomas Illig, Gail P Jarvik, Julie A Johnson, Olaf H Klungel, William C Knowler, Wolfgang Koenig, Winfried März, James B Meigs, Olle Melander, Patricia B Munroe, Braxton D Mitchell, Susan J Bielinski, Daniel J Rader, Muredach P Reilly, Stephen S Rich, Jerome I Rotter, Danish Saleheen, Nilesh J Samani, Eric E Schadt, Alan R Shuldiner, Roy Silverstein, Kandice Kottke-Marchant, Philippa J Talmud, Hugh Watkins, Folkert W Asselbergs, Folkert Asselbergs, Paul I W de Bakker, Jeanne McCaffery, Cisca Wijmenga, Marc S Sabatine, James G Wilson, Alex Reiner, Donald W Bowden, Hakon Hakonarson, David S Siscovick, Brendan J Keating.
Am. J. Hum. Genet.
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To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom ?50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with ?2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 × 10(-9)) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 × 10(-6)). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 × 10(-7)) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 × 10(-15)). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 × 10(-8)). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups.
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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.

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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.