1. A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease
- Author
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Markku S. Nieminen, Engert Jc, Anders Hamsten, Mark I. McCarthy, Khan Shah Zaman, Nilesh J. Samani, Silvia Pietri, Nadeem Hayat Mallick, Robert Clarke, Anna Helgadottir, John C. Chambers, Peter Sleight, Lasse Folkersen, Simon C. Potter, Fazal-ur-Rehman Memon, Gonçalo R. Abecasis, Shapour Jalilzadeh, Louise Bowman, Anders Mälarstig, Abdus Samad, Veikko Salomaa, John F. Peden, Juha Sinisalo, Jane Armitage, Asif Rasheed, Simona Barlera, Eirini V. Theodoraki, Suthesh Sivapalaratnam, Halit Ongen, Alison Offer, Theodosios Kyriakou, Hugh Watkins, John J.P. Kastelein, Philippe Froguel, Emma Gray, Tim D. Spector, Panos Deloukas, Mai-Lis Hellénius, Anders Gabrielsen, Martin Farrall, Jemma C. Hopewell, Mark Lathrop, Nicole Soranzo, Nabeel Ahmed, Bruna Gigante, Roberto Marchioli, Muhammad Azhar, Danish Saleheen, Salim Yusuf, Simon Heath, Anders Franco-Cereceda, Ulf de Faire, James Scott, Ann-Christine Syvänen, Marc Delepine, Maria Samuel, John Öhrvik, M. Ishaq, Fiona Green, Leena Peltonen, Paul Elliott, Moazzam Zaidi, Gerd Assmann, Rhian Gwilliam, Gianni Tognoni, Nabi Shah, John Danesh, Jorg Hager, Weihua Zhang, Mark J. Caulfield, Jaspal S. Kooner, Angad S. Kooner, Suzannah Bumpstead, Richard Peto, Francesca Gori, Maria Grazia Franzosi, Anuj Goel, Sarah E. Hunt, Karin Leander, Ferdinand M. van't Hooft, Angela Silveira, Rory Collins, Samuli Ripatti, Muhammed Murtaza, Pamela Linksted, Per Eriksson, George V. Dedoussis, Sarah Edkins, Sonia S. Anand, Philippe M. Frossard, Tomas Axelsson, Ali Raza Gardezi, Peter Donnelly, Mieke D. Trip, Sarah Parish, Stephan Rust, Udo Seedorf, Gunnar O Olsson, Kathy Stirrups, Rona J. Strawbridge, Joban Sehmi, Derrick A Bennett, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, and Cardiology
- Subjects
Adult ,Male ,South asia ,Quantitative Trait Loci ,ADAMTS7 Protein ,Single-nucleotide polymorphism ,Genome-wide association study ,Coronary Artery Disease ,Biology ,030204 cardiovascular system & hematology ,Polymorphism, Single Nucleotide ,Article ,White People ,Coronary artery disease ,03 medical and health sciences ,0302 clinical medicine ,Asian People ,Genotype ,Genetics ,Medicine ,Humans ,Genetic Predisposition to Disease ,cardiovascular diseases ,Myocardial infarction ,Genotyping ,Genetics (clinical) ,030304 developmental biology ,Genetic association ,Aged ,Oligonucleotide Array Sequence Analysis ,Platelet-Derived Growth Factor ,0303 health sciences ,Lymphokines ,business.industry ,Heritability ,Middle Aged ,Sterol Esterase ,medicine.disease ,ADAM Proteins ,Case-Control Studies ,Female ,Cardiology and Cardiovascular Medicine ,business ,Imputation (genetics) ,Genome-Wide Association Study ,Transcription Factors - Abstract
Study Hypothesis Recently, genome-wide association studies (GWAS) have identified several common variants associated with increased risk of coronary artery disease (CAD) and myocardial infarction (MI) by 10% to 30%. The authors state that these loci explain only a small proportion of the predicted genetic risk and that all of the current loci for CAD and MI by GWAS have been discovered in European populations. The authors hypothesized that discovery of new susceptibility loci of smaller effect sizes would be aided by conducting much larger studies in addition to an emphasis on early-onset CAD and clearly defined clinical end points. Therefore, they assembled the Coronary Artery Disease (C4D) Genetics Consortium.1 ### How Was the Hypothesis Tested? The authors performed a meta-analysis of 4 large GWAS of CAD, 2 of European ancestry (PROCARDIS and HPS) and 2 of South Asian ancestry (PROMIS and LOLLIPOP), with ≈575 000 genotyped single-nucleotide polymorphisms (SNPs) in a discovery data set comprising 15 420 individuals with CAD (cases) (8424 Europeans and 6996 South Asians) and 15 062 control subjects. They observed little evidence for ancestry-specific associations, supporting the use of combined analyses. Furthermore, the authors state that because all individuals were genotyped on the same platform (whole-genome Illumina BeadChips), a meta-analysis of actual genotypes rather than imputed data enabled analysis of low-frequency variants (1% to 5%), which have been excluded from GWAS either because of sample size or because imputation has been required to combine data from different genotyping platforms. After the meta-analysis, they selected 59 SNPs from 50 loci that showed potential new associations from the meta-analysis of the European and South Asian studies (41 SNPs; P
- Published
- 2016