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

Caren E Smith, Jack L Follis, Hassan S Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M Fretts, Tuomas O Kilpeläinen, Mary K Wojczynski, Kris Richardson, Mike A Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C Frazier-Wood, Esther van Eekelen, Carol Wang, Paul S de Vries, Vera Mikkilä, Rebecca Rohde, Bruce M Psaty, Torben HansenMary F Feitosa, Chao-Qiang Lai, Denise K Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée de Mutsert, Wendy H Oddy, Ester A L de Jonge, Ilkka Seppälä, Anne E Justice, Rozenn N Lemaitre, Thorkild I A Sørensen, Michael A Province, Laurence D Parnell, Melissa E Garcia, Stefania Bandinelli, Marju Orho-Melander, Stephen S Rich, Frits R Rosendaal, Craig E Pennell, Jessica C Kiefte-de Jong, Mika Kähönen, Kristin L Young, Oluf Pedersen, Stella Aslibekyan, Jerome I Rotter, Dennis O Mook-Kanamori, M Carola Zillikens, Olli T Raitakari, Kari E North, Kim Overvad, Donna K Arnett, Albert Hofman, Terho Lehtimäki, Anne Tjønneland, André G Uitterlinden, Fernando Rivadeneira, Oscar H Franco, J Bruce German, David S Siscovick, L Adrienne Cupples, José M Ordovás

Research output: Contribution to journalJournal articleResearchpeer-review

8 Citations (Scopus)

Abstract

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 × 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.

Original languageEnglish
Article number1700347
JournalMolecular Nutrition & Food Research
Volume62
Issue number3
Number of pages12
ISSN1613-4125
DOIs
Publication statusPublished - 1 Feb 2018

Bibliographical note

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

Keywords

  • Journal Article
  • genome-wide interaction study
  • dairy intake
  • body mass index
  • meta-analysis
  • CHARGE consortium
  • Body Mass Index
  • European Continental Ancestry Group/genetics
  • Genome-Wide Association Study
  • Cross-Sectional Studies
  • Gene Frequency
  • Humans
  • Middle Aged
  • Genotype
  • Male
  • Myosin-Light-Chain Phosphatase/genetics
  • Adult
  • Female
  • Aged
  • Polymorphism, Single Nucleotide
  • Actins/genetics
  • Cohort Studies
  • Dairy Products

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