Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.

ABSTRACT: Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and obesity are generally focused on individual traits independently, and genetic intercommunity (common genetic contributions or the product of over correlated phenotypic world) between them are largely unknown, despite extensive data showing that these two phenotypes share both genetic and environmental risk factors. Here, we applied a recently developed genetic pleiotropic conditional false discovery rate (cFDR) approach to discover novel loci associated with

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC5703959 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature