Integrating genetic, transcriptional, and biological information provides insights into obesity.

ABSTRACT:

Objective

Indices of body fat distribution are heritable, but few genetic signals have been reported from genome-wide association studies (GWAS) of computed tomography (CT) imaging measurements of body fat distribution. We aimed to identify genes associated with adiposity traits and the key drivers that are central to adipose regulatory networks.

Subjects

We analyzed gene transcript expression data in blood from participants in the Framingham Heart Study, a large community-based cohort (n up to 4303), as well as implemented an integrative analysis of these data and existing biological information.

Results

Our association analyses identified unique and common gene expression signatures across several adiposity traits, including body mass index, waist-hip ratio, waist c

SUBMITTER: Wang L 

PROVIDER: S-EPMC6405310 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature