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Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.
- Source :
-
Human molecular genetics [Hum Mol Genet] 2015 Aug 15; Vol. 24 (16), pp. 4728-38. Date of Electronic Publication: 2015 May 20. - Publication Year :
- 2015
-
Abstract
- Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.<br /> (© The Author 2015. Published by Oxford University Press.)
Details
- Language :
- English
- ISSN :
- 1460-2083
- Volume :
- 24
- Issue :
- 16
- Database :
- MEDLINE
- Journal :
- Human molecular genetics
- Publication Type :
- Academic Journal
- Accession number :
- 25994509
- Full Text :
- https://doi.org/10.1093/hmg/ddv186