A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

the CARDIoGRAMplusC4D Consortium·2015·Nature Genetics

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Items 101–200 of 1,004

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  13. Genome-wide analysis identifies novel susceptibility loci for myocardial infarction
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  15. Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial)
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  19. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease
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  28. Case–control association mapping by proxy using family history of disease
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  29. Apolipoprotein(a) isoform size, lipoprotein(a) concentration, and coronary artery disease: a mendelian randomisation analysis
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  31. Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease
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  32. Genotype Imputation from Large Reference Panels
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  78. Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels
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  79. Untargeted metabolomics identifies trimethyllysine, a TMAO-producing nutrient precursor, as a predictor of incident cardiovascular disease risk
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  80. Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction
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  82. Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses
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  85. Polygenic Epidemiology
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