Mingchun Liu|H K Tiwari|W-Y Lin|D B Allison|Wendy K. Chung|Rudolph L. Leibel|Nengjun Yi|N Liu
Genetic association analysis of 30 genes related to obesity in a European American population
University of Alabama at Birmingham|University of Alabama at Birmingham|National Taiwan University|University of Alabama at Birmingham|Columbia University Irving Medical Center|Columbia University Irving Medical Center|University of Alabama at Birmingham|University of Alabama at Birmingham
obesity frequently associated diabetes hypertension cardiovascular diseases primarily result net excess caloric intake energy expenditure human obesity highly heritable specific genes mediating susceptibility nonsyndromic obesity remain unclear tested candidate genes pathways related food intake energy expenditure association body mass index bmiwe reanalyzed 355 common genetic variants 30 candidate genes seven molecular pathways related obesity 1982 unrelated european americans new york cancer project data analyzed using bayesian hierarchical generalized linear model bmis logtransformed adjusted covariates including age age2 gender diabetes status singlenucleotide polymorphisms snps modeled additive effectswith stipulated adjustments nine snps eight genes significantly associated bmi ghrelin ghrl rs35683 agoutirelated peptide agrp rs5030980 carboxypeptidase e cpe rs1946816 rs4481204 glucagonlike peptide1 receptor glp1r rs2268641 serotonin receptors htr2a rs912127 neuropeptide receptor npy5ry5r1c52 suppressor cytokine signaling 3 socs3 rs4969170 signal transducer activator transcription 3 stat3 rs4796793 also found genderbysnp interaction rs1745837 htr2a indicated variants gene htr2a stronger association bmi males addition npy1r detected significant gene effect even though none snps gene significantvariations genes agrp cpe ghrl glp1r htr2a npy1r npy5r socs3 stat3 showed modest associations bmi european americans pathways genes participate regulate energy intake thus associations mechanistically plausible context