Identification of Novel Potentially Pleiotropic Variants Associated With Osteoporosis and Obesity Using the cFDR Method.

ABSTRACT:

Context

Genome-wide association studies (GWASs) have been successful in identifying loci associated with osteoporosis and obesity. However, the findings explain only a small fraction of the total genetic variance.

Objective

The aim of this study was to identify novel pleiotropic genes important in osteoporosis and obesity.

Design and setting

A pleiotropic conditional false discovery rate method was applied to three independent GWAS summary statistics of femoral neck bone mineral density, body mass index, and waist-to-hip ratio. Next, differential expression analysis was performed for the potentially pleiotropic genes, and weighted genes coexpression network analysis (WGCNA) was conducted to identify functional connections between the suggested pleiotropic genes and kn

SUBMITTER: Hu Y 

PROVIDER: S-EPMC6061219 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature