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Genome-wide interactions with dairy intake for body mass index in adults of European descent

Smith, CE, Follis, JL, Dashti, HS, Tanaka, T, Graff, M, Fretts, AM, Kilpelainen, TO, Wojczynski, MK, Richardson, K, Nalls, MA, Schulz, C-A, Liu, Y, Frazier-Wood, AC, van Eekelen, E, Wang, Carol, de Vries, PS, Mikkila, V, Rohde, R, Psaty, BM, Hansen, T, Feitosa, MF, Lai, C-Q, Houston, DK, Ferruci, L, Ericson, U, Wang, Z, de Mutsert, R, Oddy, WH ORCID: 0000-0002-6119-7017, de Jonge, EAL, Seppala, I, Justice, AE, Lemaitre, RN, Sorensen, TIA, Province, MA, Parnell, LD, Garcia, ME, Bandinelli, S, Orho-Melander, M, Rich, SS, Rosendaal, FR, Pennell, CE, Kiefte-de Jong, JC, Kahonen, M, Young, KL, Pedersen, O, Aslibekyan, S, Rotter, JI, Mook-Kanamori, DO, Zillikens, MC, Raitakari, OT, North, KE, Overvad, K, Arnett, DK, Hofman, A, Lehtimaki, T, Tjonneland, A, Uitterlinden, AG, Rivadeneira, F, Franco, OH, German, JB, Siscovick, DS, Cupples, LA and Ordovas, JM 2018 , 'Genome-wide interactions with dairy intake for body mass index in adults of European descent' , Molecular Nutrition and Food Research, vol. 62, no. 3 , pp. 1-12 , doi: 10.1002/mnfr.201700347.

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Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.Methods and Results: A genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction -7) , and six independent variants (LINC01512-rs7751666, PALM2/AKAP2-rs914359, ACTA2-rs1388, PPP1R12A-rs7961195, LINC00333-rs9635058, AC098847.1-rs1791355) were evaluated meta-analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3' of LINC00333) was replicated (p-interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p-interaction = 7.36 × 10-8) such that each serving of low-fat dairy was associated with 0.225 kg m-2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2-rs1388) approached interaction replication significance for low-fat dairy exposure.Conclusion: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight.

Item Type: Article
Authors/Creators:Smith, CE and Follis, JL and Dashti, HS and Tanaka, T and Graff, M and Fretts, AM and Kilpelainen, TO and Wojczynski, MK and Richardson, K and Nalls, MA and Schulz, C-A and Liu, Y and Frazier-Wood, AC and van Eekelen, E and Wang, Carol and de Vries, PS and Mikkila, V and Rohde, R and Psaty, BM and Hansen, T and Feitosa, MF and Lai, C-Q and Houston, DK and Ferruci, L and Ericson, U and Wang, Z and de Mutsert, R and Oddy, WH and de Jonge, EAL and Seppala, I and Justice, AE and Lemaitre, RN and Sorensen, TIA and Province, MA and Parnell, LD and Garcia, ME and Bandinelli, S and Orho-Melander, M and Rich, SS and Rosendaal, FR and Pennell, CE and Kiefte-de Jong, JC and Kahonen, M and Young, KL and Pedersen, O and Aslibekyan, S and Rotter, JI and Mook-Kanamori, DO and Zillikens, MC and Raitakari, OT and North, KE and Overvad, K and Arnett, DK and Hofman, A and Lehtimaki, T and Tjonneland, A and Uitterlinden, AG and Rivadeneira, F and Franco, OH and German, JB and Siscovick, DS and Cupples, LA and Ordovas, JM
Keywords: CHARGE consortium, body mass index, dairy intake, genome-wide interaction study, meta-analysis
Journal or Publication Title: Molecular Nutrition and Food Research
Publisher: Wiley - V C H Verlag GmbH & Co. KGaA
ISSN: 1613-4125
DOI / ID Number: 10.1002/mnfr.201700347
Copyright Information:

Copyright 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

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