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ABSTRACT: Background
Genome-wide association studies (GWAS) have become a major strategy for genetic dissection of human complex diseases. Analysing multiple phenotypes jointly may improve both our ability to detect genetic variants with multiple effects and our understanding of their common features. Allelic associations for multiple biochemical traits (serum alanine aminotransferase, aspartate aminotransferase, butrylycholinesterase (BCHE), C-reactive protein (CRP), ferritin, gamma glutamyltransferase (GGT), glucose, high-density lipoprotein cholesterol (HDL), insulin, low-density lipoprotein cholesterol (LDL), triglycerides and uric acid), and body-mass index, were examined.Methods
We aimed to identify common genetic variants affecting more than one of these traits using genome-wi
SUBMITTER: Middelberg RP
PROVIDER: S-EPMC3189113 | biostudies-literature | 2011 Sep
REPOSITORIES: biostudies-literature