A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Gene x dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry
Tekijät: Nettleton JA, Follis JL, Ngwa JS, Smith CE, Ahmad S, Tanaka T, Wojczynski MK, Voortman T, Lemaitre RN, Kristiansson K, Nuotio ML, Houston DK, Perala MM, Qi QB, Sonestedt E, Manichaikul A, Kanoni S, Ganna A, Mikkila V, North KE, Siscovick DS, Harald K, Mckeown NM, Johansson I, Rissanen H, Liu YM, Lahti J, Hu FB, Bandinelli S, Rukh G, Rich S, Booij L, Dmitriou M, Ax E, Raitakari O, Mukamal K, Mannisto S, Hallmans G, Jula A, Ericson U, Jacobs DR, Van Rooij FJA, Deloukas P, Sjogren P, Kahonen M, Djousse L, Perola M, Barroso I, Hofman A, Stirrups K, Viikari J, Uitterlinden AG, Kalafati IP, Franco OH, Mozaffarian D, Salomaa V, Borecki IB, Knekt P, Kritchevsky SB, Eriksson JG, Dedoussis GV, Qi L, Ferrucci L, Orho-Melander M, Zillikens MC, Ingelsson E, Lehtimaki T, Renstrom F, Cupples LA, Loos RJF, Franks PW
Kustantaja: OXFORD UNIV PRESS
Julkaisuvuosi: 2015
Journal: Human Molecular Genetics
Tietokannassa oleva lehden nimi: HUMAN MOLECULAR GENETICS
Lehden akronyymi: HUM MOL GENET
Vuosikerta: 24
Numero: 16
Aloitussivu: 4728
Lopetussivu: 4738
Sivujen määrä: 11
ISSN: 0964-6906
DOI: https://doi.org/10.1093/hmg/ddv186
Obesity is highly heritable. Genetic variants showing robust associationswith 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 polymorphismswere 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-adjustedWHR 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-adjustedWHR 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.