4.7 Article

Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent

Journal

MOLECULAR NUTRITION & FOOD RESEARCH
Volume 62, Issue 3, Pages -

Publisher

WILEY
DOI: 10.1002/mnfr.201700347

Keywords

body mass index; CHARGE consortium; dairy intake; genome-wide interaction study; meta-analysis

Funding

  1. Zoll LifeCor
  2. Johnson Johnson
  3. Kelly Services
  4. National Institute on Aging, NIH, Bethesda, MD, USA
  5. NNF Center for Basic Metabolic Research [Pedersen Group, Hansen Group] Funding Source: researchfish
  6. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR001881, KL2TR001109] Funding Source: NIH RePORTER
  7. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [K08HL112845, R01HL091357, R01HL105756, U01HL072524, U01HL130114, R00HL130580, R01HL117078] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [P30DK056341, R01DK089256, P30DK063491] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE ON AGING [ZIAAG000965, ZIAAG001050] Funding Source: NIH RePORTER

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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 <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 x 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.

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