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Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent.
Smith, Caren E; Follis, Jack L; Dashti, Hassan S; Tanaka, Toshiko; Graff, Mariaelisa; Fretts, Amanda M; Kilpeläinen, Tuomas O; Wojczynski, Mary K; Richardson, Kris; Nalls, Mike A; Schulz, Christina-Alexandra; Liu, Yongmei; Frazier-Wood, Alexis C; van Eekelen, Esther; Wang, Carol; de Vries, Paul S; Mikkilä, Vera; Rohde, Rebecca; Psaty, Bruce M; Hansen, Torben; Feitosa, Mary F; Lai, Chao-Qiang; Houston, Denise K; Ferruci, Luigi; Ericson, Ulrika; Wang, Zhe; de Mutsert, Renée; Oddy, Wendy H; de Jonge, Ester A L; Seppälä, Ilkka; Justice, Anne E; Lemaitre, Rozenn N; Sørensen, Thorkild I A; Province, Michael A; Parnell, Laurence D; Garcia, Melissa E; Bandinelli, Stefania; Orho-Melander, Marju; Rich, Stephen S; Rosendaal, Frits R; Pennell, Craig E; Kiefte-de Jong, Jessica C; Kähönen, Mika; Young, Kristin L; Pedersen, Oluf; Aslibekyan, Stella; Rotter, Jerome I; Mook-Kanamori, Dennis O; Zillikens, M Carola; Raitakari, Olli T.
Afiliación
  • Smith CE; Nutrition and Genomics Laboratory, Jean Mayer-US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA.
  • Follis JL; University of St Thomas, Houston, TX, USA.
  • Dashti HS; Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.
  • Tanaka T; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
  • Graff M; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
  • Fretts AM; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Kilpeläinen TO; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Wojczynski MK; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark.
  • Richardson K; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Nalls MA; Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
  • Schulz CA; Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.
  • Liu Y; Contractor/consultant with Kelly Services, Rockville, MD, USA.
  • Frazier-Wood AC; LUDC, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
  • van Eekelen E; Department of Epidemiology & Prevention, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA.
  • Wang C; USDA / ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA.
  • de Vries PS; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Mikkilä V; School of Women's and Infants' Health, University of Western Australia, Perth, Australia.
  • Rohde R; Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Psaty BM; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
  • Hansen T; Division of Nutrition, Department of Food and Environmental Sciences, University of Helsinki, Helsinki.
  • Feitosa MF; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
  • Lai CQ; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Houston DK; Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA.
  • Ferruci L; Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA.
  • Ericson U; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark.
  • Wang Z; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • de Mutsert R; USDA ARS, Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
  • Oddy WH; Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA.
  • de Jonge EAL; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
  • Seppälä I; LUDC, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
  • Justice AE; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Lemaitre RN; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Sørensen TIA; Menzies Institute for Medical Research, University of Tasmania, Australia.
  • Province MA; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
  • Parnell LD; Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
  • Garcia ME; Department of Clinical Chemistry, Fimlab Laboratories, Tampere University School of Medicine, Tampere, Finland.
  • Bandinelli S; Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Orho-Melander M; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Rich SS; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2100, Denmark.
  • Rosendaal FR; Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, 2000, Denmark.
  • Pennell CE; MRC Integrative Epidemiology Unit & School of Social and community Medicine, University of Bristol, Bristol, BS82BN, UK.
  • Kiefte-de Jong JC; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Kähönen M; USDA ARS, Nutrition and Genomics Laboratory, Jean Mayer-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
  • Young KL; National Institute of Aging, Bethesda, MD, USA.
  • Pedersen O; Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy.
  • Aslibekyan S; LUDC, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
  • Rotter JI; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Mook-Kanamori DO; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Zillikens MC; School of Women's and Infants' Health, University of Western Australia, Perth, Australia.
  • Raitakari OT; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Mol Nutr Food Res ; 62(3)2018 02.
Article en En | MEDLINE | ID: mdl-28941034
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Polimorfismo de Nucleótido Simple / Productos Lácteos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Mol Nutr Food Res Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2018 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Polimorfismo de Nucleótido Simple / Productos Lácteos Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Mol Nutr Food Res Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2018 Tipo del documento: Article