Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.

Xiao LiangAwen HeWenyu WangLi LiuYanan DuQianrui FanPing LiYan WenJingcan HaoXiong GuoFeng Zhang

Published in: BioMed research international (2017)

Our study provides novel clues for clarifying the genetic mechanism of diabetes. This study also illustrated the good performance of SMR approach and extended it to gene set association analysis for complex diseases.

Keyphrases

genome wide
type diabetes
cardiovascular disease
copy number
genome wide association
genome wide identification
dna methylation
adipose tissue
insulin resistance
genome wide analysis