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 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
Journal: Molecular nutrition & food research
2018;62(3):101002/mnfr201700347
PMID: 28941034
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 , 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 such that each serving of low-fat dairy was associated with 0.225 kg m 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.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Address:
Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA.; University of St Thomas, Houston, TX, USA.; Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA.; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark.; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.; Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.; Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.; Contractor/consultant with Kelly Services, Rockville, MD, USA.; LUDC, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.; Department of Epidemiology & Prevention, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA.; USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA.; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.; School of Women's and Infants' Health, University of Western Australia, Perth, Australia.; Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.; Division of Nutrition, Department of Food and Environmental Sciences, University of Helsinki, Helsinki.; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA.; Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA.; USDA ARS, Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.; Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA.; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.; Menzies Institute for Medical Research, University of Tasmania, Australia.; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.; Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere University School of Medicine, Tampere, Finland.; Department of Medicine, University of Washington, Seattle, WA, USA.; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark.; Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, 2000, Denmark.; MRC Integrative Epidemiology Unit & School of Social and community Medicine, University of Bristol, Bristol, BS82BN, UK.; National Institute of Aging, Bethesda, MD, USA.; Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy.; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.; Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland.; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.; Institute for Translational Genomics and Population Sciences Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.; Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Department of Clinical Physiology and Nuclear Medicine, University of Turku, Turku, Finland.; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.; Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, 27514, USA.; Department of Public Health, Section for Epidemiology, Aarhus University, DK-8000, Aarhus C, Denmark.; Aalborg University Hospital, DK-9000, Aalborg, Denmark.; College of Public Health, University of Kentucky, Lexington, KY, USA.; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.; Department of Nutrition, Harvard School of Public Health, Boston, USA.; Danish Cancer Society Research Center, Copenhagen, 2100, Denmark.; Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.; Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, the Netherlands.; Department of Food Science and Technology, University of California, Davis, CA, USA.; New York Academy of Medicine, New York, NY, USA.; Department of Biostatistics, Boston University School of Public Health, Boston, USA.; Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA.; The Department of Epidemiology and Population Genetics, Centro Nacional Investigación Cardiovasculares (CNIC) Madrid, Spain.; IMDEA Food, Madrid, Spain.
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MeSH Terms:
Actins,
Adult,
Aged,
Body Mass Index,
Cohort Studies,
Cross-Sectional Studies,
Dairy Products,
Female,
Gene Frequency,
Genome-Wide Association Study,
Genotype,
Humans,
Male,
Middle Aged,
Myosin-Light-Chain Phosphatase,
Polymorphism, Single Nucleotide,
White People