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Find video protocols related to scientific articles indexed in Pubmed.
Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins.
Iris Postmus, Stella Trompet, Harshal A Deshmukh, Michael R Barnes, Xiaohui Li, Helen R Warren, Daniel I Chasman, Kaixin Zhou, Benoit J Arsenault, Louise A Donnelly, Kerri L Wiggins, Christy L Avery, Paula Griffin, QiPing Feng, Kent D Taylor, Guo Li, Daniel S Evans, Albert V Smith, Catherine E de Keyser, Andrew D Johnson, Anton J M de Craen, David J Stott, Brendan M Buckley, Ian Ford, Rudi G J Westendorp, P Eline Slagboom, Naveed Sattar, Patricia B Munroe, Peter Sever, Neil Poulter, Alice Stanton, Denis C Shields, Eoin O'Brien, Sue Shaw-Hawkins, Y-D Ida Chen, Deborah A Nickerson, Joshua D Smith, Marie Pierre Dubé, S Matthijs Boekholdt, G Kees Hovingh, John J P Kastelein, Paul M McKeigue, John Betteridge, Andrew Neil, Paul N Durrington, Alex Doney, Fiona Carr, Andrew Morris, Mark I McCarthy, Leif Groop, Emma Ahlqvist, , Joshua C Bis, Kenneth Rice, Nicholas L Smith, Thomas Lumley, Eric A Whitsel, Til Stürmer, Eric Boerwinkle, Julius S Ngwa, Christopher J O'Donnell, Ramachandran S Vasan, Wei-Qi Wei, Russell A Wilke, Ching-Ti Liu, Fangui Sun, Xiuqing Guo, Susan R Heckbert, Wendy Post, Nona Sotoodehnia, Alice M Arnold, Jeanette M Stafford, Jingzhong Ding, David M Herrington, Stephen B Kritchevsky, Gudny Eiriksdottir, Leonore J Launer, Tamara B Harris, Audrey Y Chu, Franco Giulianini, Jean G MacFadyen, Bryan J Barratt, Fredrik Nyberg, Bruno H Stricker, André G Uitterlinden, Albert Hofman, Fernando Rivadeneira, Valur Emilsson, Oscar H Franco, Paul M Ridker, Vilmundur Gudnason, Yongmei Liu, Joshua C Denny, Christie M Ballantyne, Jerome I Rotter, L Adrienne Cupples, Bruce M Psaty, Colin N A Palmer, Jean-Claude Tardif, Helen M Colhoun, Graham Hitman, Ronald M Krauss, J Wouter Jukema, Mark J Caulfield.
Nat Commun
PUBLISHED: 02-27-2014
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Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.
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Common variants in mendelian kidney disease genes and their association with renal function.
Afshin Parsa, Christian Fuchsberger, Anna Köttgen, Conall M O'Seaghdha, Cristian Pattaro, Mariza de Andrade, Daniel I Chasman, Alexander Teumer, Karlhans Endlich, Matthias Olden, Ming-Huei Chen, Adrienne Tin, Young J Kim, Daniel Taliun, Man Li, Mary Feitosa, Mathias Gorski, Qiong Yang, Claudia Hundertmark, Meredith C Foster, Nicole Glazer, Aaron Isaacs, Madhumathi Rao, Albert V Smith, Jeffrey R O'Connell, Maksim Struchalin, Toshiko Tanaka, Guo Li, Shih-Jen Hwang, Elizabeth J Atkinson, Kurt Lohman, Marilyn C Cornelis, Asa Johansson, Anke Tönjes, Abbas Dehghan, Vincent Couraki, Elizabeth G Holliday, Rossella Sorice, Zoltan Kutalik, Terho Lehtimäki, Tonu Esko, Harshal Deshmukh, Sheila Ulivi, Audrey Y Chu, Federico Murgia, Stella Trompet, Medea Imboden, Barbara Kollerits, Giorgio Pistis, Tamara B Harris, Lenore J Launer, Thor Aspelund, Gudny Eiriksdottir, Braxton D Mitchell, Eric Boerwinkle, Helena Schmidt, Edith Hofer, Frank Hu, Ayse Demirkan, Ben A Oostra, Stephen T Turner, Jingzhong Ding, Jeanette S Andrews, Barry I Freedman, Franco Giulianini, Wolfgang Koenig, Thomas Illig, Angela Döring, H-Erich Wichmann, Lina Zgaga, Tatijana Zemunik, Mladen Boban, Cosetta Minelli, Heather E Wheeler, Wilmar Igl, Ghazal Zaboli, Sarah H Wild, Alan F Wright, Harry Campbell, David Ellinghaus, Ute Nöthlings, Gunnar Jacobs, Reiner Biffar, Florian Ernst, Georg Homuth, Heyo K Kroemer, Matthias Nauck, Sylvia Stracke, Uwe Völker, Henry Völzke, Peter Kovacs, Michael Stumvoll, Reedik Mägi, Albert Hofman, André G Uitterlinden, Fernando Rivadeneira, Yurii S Aulchenko, Ozren Polašek, Nick Hastie, Veronique Vitart, Catherine Helmer, Jie Jin Wang, Bénédicte Stengel, Daniela Ruggiero, Sven Bergmann, Mika Kähönen, Jorma Viikari, Tiit Nikopensius, Michael Province, Helen Colhoun, Alex Doney, Antonietta Robino, Bernhard K Krämer, Laura Portas, Ian Ford, Brendan M Buckley, Martin Adam, Gian-Andri Thun, Bernhard Paulweber, Margot Haun, Cinzia Sala, Paul Mitchell, Marina Ciullo, Peter Vollenweider, Olli Raitakari, Andres Metspalu, Colin Palmer, Paolo Gasparini, Mario Pirastu, J Wouter Jukema, Nicole M Probst-Hensch, Florian Kronenberg, Daniela Toniolo, Vilmundur Gudnason, Alan R Shuldiner, Josef Coresh, Reinhold Schmidt, Luigi Ferrucci, Cornelia M van Duijn, Ingrid Borecki, Sharon L R Kardia, Yongmei Liu, Gary C Curhan, Igor Rudan, Ulf Gyllensten, James F Wilson, Andre Franke, Peter P Pramstaller, Rainer Rettig, Inga Prokopenko, Jacqueline Witteman, Caroline Hayward, Paul M Ridker, Murielle Bochud, Iris M Heid, David S Siscovick, Caroline S Fox, W Linda Kao, Carsten A Böger.
J. Am. Soc. Nephrol.
PUBLISHED: 09-12-2013
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Many common genetic variants identified by genome-wide association studies for complex traits map to genes previously linked to rare inherited Mendelian disorders. A systematic analysis of common single-nucleotide polymorphisms (SNPs) in genes responsible for Mendelian diseases with kidney phenotypes has not been performed. We thus developed a comprehensive database of genes for Mendelian kidney conditions and evaluated the association between common genetic variants within these genes and kidney function in the general population. Using the Online Mendelian Inheritance in Man database, we identified 731 unique disease entries related to specific renal search terms and confirmed a kidney phenotype in 218 of these entries, corresponding to mutations in 258 genes. We interrogated common SNPs (minor allele frequency >5%) within these genes for association with the estimated GFR in 74,354 European-ancestry participants from the CKDGen Consortium. However, the top four candidate SNPs (rs6433115 at LRP2, rs1050700 at TSC1, rs249942 at PALB2, and rs9827843 at ROBO2) did not achieve significance in a stage 2 meta-analysis performed in 56,246 additional independent individuals, indicating that these common SNPs are not associated with estimated GFR. The effect of less common or rare variants in these genes on kidney function in the general population and disease-specific cohorts requires further research.
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A comparison of the theoretical relationship between HDL size and the ratio of HDL cholesterol to apolipoprotein A-I with experimental results from the Womens Health Study.
Clin. Chem.
PUBLISHED: 02-20-2013
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HDL size and composition vary among individuals and may be associated with cardiovascular disease and diabetes. We investigated the theoretical relationship between HDL size and composition using an updated version of the spherical model of lipoprotein structure proposed by Shen et al. (Proc Natl Acad Sci U S A 1977;74:837-41.) and compared its predictions with experimental data from the Womens Health Study (WHS).
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Novel locus including FGF21 is associated with dietary macronutrient intake.
Hum. Mol. Genet.
PUBLISHED: 01-30-2013
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Dietary intake of macronutrients (carbohydrate, protein, and fat) has been associated with risk of chronic conditions such as obesity and diabetes. Family studies have reported a moderate contribution of genetics to variation in macronutrient intake. In a genome-wide meta-analysis of a population-based discovery cohort (n = 33 533), rs838133 in FGF21 (19q13.33), rs197273 near TRAF family member-associated NF-kappa-B activator (TANK) (2p24.2), and rs10163409 in FTO (16q12.2) were among the top associations (P < 10(-5)) for percentage of total caloric intake from protein and carbohydrate. rs838133 was replicated in silico in an independent sample from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE) Nutrition Working Group (n = 38 360) and attained genome-wide significance in combined analysis (Pjoint = 7.9 × 10(-9)). A cytokine involved in cellular metabolism, FGF21 is a potential susceptibility gene for obesity and type 2 diabetes. Our results highlight the potential of genetic variation for determining dietary macronutrient intake.
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Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function.
Daniel I Chasman, Christian Fuchsberger, Cristian Pattaro, Alexander Teumer, Carsten A Böger, Karlhans Endlich, Matthias Olden, Ming-Huei Chen, Adrienne Tin, Daniel Taliun, Man Li, Xiaoyi Gao, Mathias Gorski, Qiong Yang, Claudia Hundertmark, Meredith C Foster, Conall M O'Seaghdha, Nicole Glazer, Aaron Isaacs, Ching-Ti Liu, Albert V Smith, Jeffrey R O'Connell, Maksim Struchalin, Toshiko Tanaka, Guo Li, Andrew D Johnson, Hinco J Gierman, Mary F Feitosa, Shih-Jen Hwang, Elizabeth J Atkinson, Kurt Lohman, Marilyn C Cornelis, Asa Johansson, Anke Tönjes, Abbas Dehghan, Jean-Charles Lambert, Elizabeth G Holliday, Rossella Sorice, Zoltan Kutalik, Terho Lehtimäki, Tonu Esko, Harshal Deshmukh, Sheila Ulivi, Audrey Y Chu, Federico Murgia, Stella Trompet, Medea Imboden, Stefan Coassin, Giorgio Pistis, , Tamara B Harris, Lenore J Launer, Thor Aspelund, Gudny Eiriksdottir, Braxton D Mitchell, Eric Boerwinkle, Helena Schmidt, Margherita Cavalieri, Madhumathi Rao, Frank Hu, Ayse Demirkan, Ben A Oostra, Mariza de Andrade, Stephen T Turner, Jingzhong Ding, Jeanette S Andrews, Barry I Freedman, Franco Giulianini, Wolfgang Koenig, Thomas Illig, Christa Meisinger, Christian Gieger, Lina Zgaga, Tatijana Zemunik, Mladen Boban, Cosetta Minelli, Heather E Wheeler, Wilmar Igl, Ghazal Zaboli, Sarah H Wild, Alan F Wright, Harry Campbell, David Ellinghaus, Ute Nöthlings, Gunnar Jacobs, Reiner Biffar, Florian Ernst, Georg Homuth, Heyo K Kroemer, Matthias Nauck, Sylvia Stracke, Uwe Völker, Henry Völzke, Peter Kovacs, Michael Stumvoll, Reedik Mägi, Albert Hofman, André G Uitterlinden, Fernando Rivadeneira, Yurii S Aulchenko, Ozren Polašek, Nick Hastie, Veronique Vitart, Catherine Helmer, Jie Jin Wang, Bénédicte Stengel, Daniela Ruggiero, Sven Bergmann, Mika Kähönen, Jorma Viikari, Tiit Nikopensius, Michael Province, Shamika Ketkar, Helen Colhoun, Alex Doney, Antonietta Robino, Bernhard K Krämer, Laura Portas, Ian Ford, Brendan M Buckley, Martin Adam, Gian-Andri Thun, Bernhard Paulweber, Margot Haun, Cinzia Sala, Paul Mitchell, Marina Ciullo, Stuart K Kim, Peter Vollenweider, Olli Raitakari, Andres Metspalu, Colin Palmer, Paolo Gasparini, Mario Pirastu, J Wouter Jukema, Nicole M Probst-Hensch, Florian Kronenberg, Daniela Toniolo, Vilmundur Gudnason, Alan R Shuldiner, Josef Coresh, Reinhold Schmidt, Luigi Ferrucci, David S Siscovick, Cornelia M van Duijn, Ingrid B Borecki, Sharon L R Kardia, Yongmei Liu, Gary C Curhan, Igor Rudan, Ulf Gyllensten, James F Wilson, Andre Franke, Peter P Pramstaller, Rainer Rettig, Inga Prokopenko, Jacqueline Witteman, Caroline Hayward, Paul M Ridker, Afshin Parsa, Murielle Bochud, Iris M Heid, W H Linda Kao, Caroline S Fox, Anna Köttgen.
Hum. Mol. Genet.
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In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.
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Genome-wide association and functional follow-up reveals new loci for kidney function.
Cristian Pattaro, Anna Köttgen, Alexander Teumer, Maija Garnaas, Carsten A Böger, Christian Fuchsberger, Matthias Olden, Ming-Huei Chen, Adrienne Tin, Daniel Taliun, Man Li, Xiaoyi Gao, Mathias Gorski, Qiong Yang, Claudia Hundertmark, Meredith C Foster, Conall M O'Seaghdha, Nicole Glazer, Aaron Isaacs, Ching-Ti Liu, Albert V Smith, Jeffrey R O'Connell, Maksim Struchalin, Toshiko Tanaka, Guo Li, Andrew D Johnson, Hinco J Gierman, Mary Feitosa, Shih-Jen Hwang, Elizabeth J Atkinson, Kurt Lohman, Marilyn C Cornelis, Asa Johansson, Anke Tönjes, Abbas Dehghan, Vincent Chouraki, Elizabeth G Holliday, Rossella Sorice, Zoltan Kutalik, Terho Lehtimäki, Tonu Esko, Harshal Deshmukh, Sheila Ulivi, Audrey Y Chu, Federico Murgia, Stella Trompet, Medea Imboden, Barbara Kollerits, Giorgio Pistis, , Tamara B Harris, Lenore J Launer, Thor Aspelund, Gudny Eiriksdottir, Braxton D Mitchell, Eric Boerwinkle, Helena Schmidt, Margherita Cavalieri, Madhumathi Rao, Frank B Hu, Ayse Demirkan, Ben A Oostra, Mariza de Andrade, Stephen T Turner, Jingzhong Ding, Jeanette S Andrews, Barry I Freedman, Wolfgang Koenig, Thomas Illig, Angela Döring, H-Erich Wichmann, Ivana Kolčić, Tatijana Zemunik, Mladen Boban, Cosetta Minelli, Heather E Wheeler, Wilmar Igl, Ghazal Zaboli, Sarah H Wild, Alan F Wright, Harry Campbell, David Ellinghaus, Ute Nöthlings, Gunnar Jacobs, Reiner Biffar, Karlhans Endlich, Florian Ernst, Georg Homuth, Heyo K Kroemer, Matthias Nauck, Sylvia Stracke, Uwe Völker, Henry Völzke, Peter Kovacs, Michael Stumvoll, Reedik Mägi, Albert Hofman, André G Uitterlinden, Fernando Rivadeneira, Yurii S Aulchenko, Ozren Polašek, Nick Hastie, Veronique Vitart, Catherine Helmer, Jie Jin Wang, Daniela Ruggiero, Sven Bergmann, Mika Kähönen, Jorma Viikari, Tiit Nikopensius, Michael Province, Shamika Ketkar, Helen Colhoun, Alex Doney, Antonietta Robino, Franco Giulianini, Bernhard K Krämer, Laura Portas, Ian Ford, Brendan M Buckley, Martin Adam, Gian-Andri Thun, Bernhard Paulweber, Margot Haun, Cinzia Sala, Marie Metzger, Paul Mitchell, Marina Ciullo, Stuart K Kim, Peter Vollenweider, Olli Raitakari, Andres Metspalu, Colin Palmer, Paolo Gasparini, Mario Pirastu, J Wouter Jukema, Nicole M Probst-Hensch, Florian Kronenberg, Daniela Toniolo, Vilmundur Gudnason, Alan R Shuldiner, Josef Coresh, Reinhold Schmidt, Luigi Ferrucci, David S Siscovick, Cornelia M van Duijn, Ingrid Borecki, Sharon L R Kardia, Yongmei Liu, Gary C Curhan, Igor Rudan, Ulf Gyllensten, James F Wilson, Andre Franke, Peter P Pramstaller, Rainer Rettig, Inga Prokopenko, Jacqueline C M Witteman, Caroline Hayward, Paul Ridker, Afshin Parsa, Murielle Bochud, Iris M Heid, Wolfram Goessling, Daniel I Chasman, W H Linda Kao, Caroline S Fox.
PLoS Genet.
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Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.
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Genetic determinants of statin-induced low-density lipoprotein cholesterol reduction: the Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial.
Circ Cardiovasc Genet
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In statin trials, each 20 mg/dL reduction in cholesterol results in a 10-15% reduction of annual incidence rates for vascular events. However, interindividual variation in low-density lipoprotein cholesterol (LDL-C) response to statins is wide and may partially be determined on a genetic basis.
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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.

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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.