Publikation

Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry

Wissenschaftlicher Artikel/Review - 20.05.2015

Bereiche
PubMed
DOI

Zitation
Franks P, Uitterlinden A, Viikari J, Stirrups K, Hofman A, Barroso I, Perola M, Djoussé L, Kähönen M, Sjögren P, Deloukas P, van Rooij F, Jacobs D, Ericson U, Jula A, Hallmans G, Kalafati I, Franco O, Mozaffarian D, Loos R, Cupples L, Renström F, Lehtimäki T, Ingelsson E, Zillikens M, Orho-Melander M, Ferrucci L, Qi L, Dedoussis G, Eriksson J, Kritchevsky S, Knekt P, Borecki I, Salomaa V, Männistö S, Mukamal K, Raitakari O, Manichaikul A, Sonestedt E, Qi Q, Perälä M, Houston D, Nuotio M, Kristiansson K, Lemaitre R, Voortman T, Wojczynski M, Tanaka T, Ahmad S, Smith C, Ngwa J, Follis J, Kanoni S, Ganna A, Mikkilä V, Ax E, Dmitriou M, Booij L, Rich S, Rukh G, Bandinelli S, Hu F, Lahti J, Liu Y, Rissanen H, Johansson I, McKeown N, Harald K, Siscovick D, North K, Nettleton J. Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet 2015; 24:4728-38.
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Hum Mol Genet 2015; 24
Veröffentlichungsdatum
20.05.2015
eISSN (Online)
1460-2083
Seiten
4728-38
Kurzbeschreibung/Zielsetzung

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.