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, C 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, Genome-wide interactions with dairy intake for body mass index in adults of European descent, Molecular Nutrition and Food Research, 62, (3) Article 1700347. ISSN 1613-4125 (2018) [Refereed Article]
Copyright 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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 <10-7) , 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:||Refereed Article|
|Keywords:||CHARGE consortium, body mass index, dairy intake, genome-wide interaction study, meta-analysis|
|Research Division:||Biomedical and Clinical Sciences|
|Research Group:||Nutrition and dietetics|
|Research Field:||Nutrigenomics and personalised nutrition|
|Objective Group:||Public health (excl. specific population health)|
|UTAS Author:||Oddy, WH (Professor Wendy Oddy)|
|Web of Science® Times Cited:||6|
|Deposited By:||Menzies Institute for Medical Research|
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