No Interactions Between Previously Associated 2-Hour Glucose Gene Variants and Physical Activity or BMI on 2-Hour Glucose Levels

作者:Scott Robert A*; Chu Audrey Y; Grarup Niels; Manning Alisa K; Hivert Marie France; Shungin Dmitry; Toenjes Anke; Yesupriya Ajay; Barnes Daniel; Bouatia Naji Nabila; Glazer Nicole L; Jackson Anne U; Kutalik Zoltan; Lagou Vasiliki; Marek Diana; Rasmussen Torvik Laura J; Stringham Heather M; Tanaka Toshiko; Aadahl Mette; Arking Dan E; Bergmann Sven; Boerwinkle Eric; Bonnycastle Lori L; Bornstein Stefan R; Brunner Eric; Bumpstead Suzannah J; Brage Soren
来源:Diabetes, 2012, 61(5): 1291-1296.
DOI:10.2337/db11-0973

摘要

Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) X BMI and SNP x physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glucose levels than active individuals (beta = 0.22 mmol/L [95% CI 0.13-0.31], P = 1.63 X 10(-6)). All SNPs were associated with 2-h glucose (beta = 0.06-0.12 mmol/allele, P %26lt;= 1.53 X 10(-7)), but no significant interactions were found with PA (P %26gt; 0.18) or BMI (P %26gt;= 0.04). In this large study of gene-lifestyle interaction, we observed no interactions between genetic and lifestyle factors, both of which were associated with 2-h glucose. It is perhaps unlikely that top loci from genome-wide association studies will exhibit strong subgroup-specific effects, and may not, therefore, make the best candidates for the study of interactions. Diabetes 61:1291-1296, 2012