Use of a gene score of multiple low-modest effect size variants can predict the risk of obesity better than the individual SNPs.

ABSTRACT:

Background

Obesity is a complex disorder, the development of which is modulated by a multitude of environmental, behavioral and genetic factors. The common forms of obesity are polygenic in nature which means that many variants in the same or different genes act synergistically and affect the body weight quantitatively. The aim of the current study was to use information from many common variants previously identified to affect body weight to construct a gene score and observe whether it improves the associations observed. The SNPs selected were G2548A in leptin (LEP) gene, Gln223Arg in leptin receptor (LEPR) gene, Ala54Thr in fatty acid binding protein 2 (FABP2) gene, rs1121980 in fat mass and obesity associated (FTO) gene, rs3923113 in Growth Factor Receptor Bound Protein 14 (GRB

SUBMITTER: Shabana 

PROVIDER: S-EPMC6052513 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature