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Photo: KG Pressfoto

Marju Orho-Melander

Professor

Photo: KG Pressfoto

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

Author

  • 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 Hansen
  • Mary 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

Summary, in English

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.

Department/s

  • Diabetes - Cardiovascular Disease
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2018-02-01

Language

English

Publication/Series

Molecular Nutrition & Food Research

Volume

62

Issue

3

Document type

Journal article

Publisher

John Wiley & Sons Inc.

Topic

  • Nutrition and Dietetics
  • Medical Genetics

Keywords

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

Status

Published

Research group

  • Diabetes - Cardiovascular Disease

ISBN/ISSN/Other

  • ISSN: 1613-4125