GWA-based pleiotropic analysis identified potential SNPs and genes related to type 2 diabetes and obesity.

ABSTRACT: Metabolic syndrome is a cluster of symptoms including excessive body fat and insulin resistance which may lead to obesity and type 2 diabetes (T2D). The physiological and pathological cross-talk between T2D and obesity is crucial and complex, meanwhile, the genetic connection between T2D and obesity is largely unknown. The purpose of this study is to identify pleiotropic SNPs and genes between these two associated conditions by applying genetic analysis incorporating pleiotropy and annotation (GPA) on two large genome-wide association studies (GWAS) data sets: a body mass index (BMI) data set containing 339,224 subjects and a T2D data set containing 110,452 subjects. In all, 5182 SNPs showed pleiotropy in both T2D and obesity. After further prioritization based on suggested local false dis

SUBMITTER: Zeng Y 

PROVIDER: S-EPMC7884093 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature