Multivariate analysis of genome-wide data to identify potential pleiotropic genes for type 2 diabetes, obesity and coronary artery disease using MetaCCA.
Jia X, Yang Y, Chen Y et al.
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Abstract
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Although genome-wide association studies (GWAS) have been extensively applied in identifying SNP associated with metabolic diseases, the SNPs identified by this prevailing univariate approach only explain a small percentage of the genetic variance of traits. The extensive previous studies have repeatedly shown type2 diabetes (T2D), obesity and coronary artery disease (CAD) have common genetic mechanisms and the overlapping pathophysiological pathways.
234,069 European ancestry individuals, 48,286 European ancestry type 2 diabetes cases, 250,671 European ancestry type 2 diabetes controls, 22,233 European ancestry coronary artery disease cases, 64,762 European ancestry coronary artery disease controls
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