Your browser doesn't support javascript.
loading
Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.
Nettleton, Jennifer A; Follis, Jack L; Ngwa, Julius S; Smith, Caren E; Ahmad, Shafqat; Tanaka, Toshiko; Wojczynski, Mary K; Voortman, Trudy; Lemaitre, Rozenn N; Kristiansson, Kati; Nuotio, Marja-Liisa; Houston, Denise K; Perälä, Mia-Maria; Qi, Qibin; Sonestedt, Emily; Manichaikul, Ani; Kanoni, Stavroula; Ganna, Andrea; Mikkilä, Vera; North, Kari E; Siscovick, David S; Harald, Kennet; Mckeown, Nicola M; Johansson, Ingegerd; Rissanen, Harri; Liu, Yongmei; Lahti, Jari; Hu, Frank B; Bandinelli, Stefania; Rukh, Gull; Rich, Stephen; Booij, Lisanne; Dmitriou, Maria; Ax, Erika; Raitakari, Olli; Mukamal, Kenneth; Männistö, Satu; Hallmans, Göran; Jula, Antti; Ericson, Ulrika; Jacobs, David R; Van Rooij, Frank J A; Deloukas, Panos; Sjögren, Per; Kähönen, Mika; Djousse, Luc; Perola, Markus; Barroso, Inês; Hofman, Albert; Stirrups, Kathleen.
  • Nettleton JA; Division of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas, Health Science Center, Houston, TX, USA.
  • Follis JL; Department of Mathematics, University of St. Thomas, Houston, TX, USA.
  • Ngwa JS; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  • Smith CE; Jean Mayer USDA Human Nutrition Research Center on Aging, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
  • Ahmad S; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit.
  • Tanaka T; Clinical Research Branch, National Institute on Aging, Baltimore, MD, USA.
  • Wojczynski MK; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Voortman T; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands.
  • Lemaitre RN; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Kristiansson K; Unit of Public Health Genomics.
  • Nuotio ML; Unit of Public Health Genomics, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki 00290, Finland.
  • Houston DK; Department of Internal Medicine.
  • Perälä MM; Department of Chronic Disease Prevention, National Institute for Health and Welfare, Haartmaninkatu 8, Helsinki 00290, Finland.
  • Qi Q; Department of Nutrition, Harvard Chan School of Public Health, Boston, MA, USA, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Sonestedt E; Department of Clinical Sciences-Malmö, Lund University, Malmö, Sweden.
  • Manichaikul A; Center for Public Health Genomics, Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA.
  • Kanoni S; William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Ganna A; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Mikkilä V; Department of Food and Environmental Sciences, Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
  • North KE; Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA.
  • Siscovick DS; The New York Academy of Medicine, New York, NY, USA.
  • Harald K; THL-National Institute for Health and Welfare, Mannerheimintie 166, Helsinki 00300, Finland.
  • Mckeown NM; Jean Mayer USDA Human Nutrition Research Center on Aging, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
  • Johansson I; Department of Odontology.
  • Rissanen H; THL-National Institute for Health and Welfare, Mannerheimintie 166, Helsinki 00300, Finland.
  • Liu Y; Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston Salem, NC, USA.
  • Lahti J; Institute of Behavioral Sciences, Folkhälsan Research Centre, Helsinki, Finland.
  • Hu FB; Department of Nutrition, Harvard Chan School of Public Health, Boston, MA, USA.
  • Bandinelli S; Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy.
  • Rukh G; Department of Clinical Sciences-Malmö, Lund University, Malmö, Sweden.
  • Rich S; Center for Public Health Genomics.
  • Booij L; Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Dmitriou M; Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
  • Ax E; Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism.
  • Raitakari O; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland, Department of Clinical Physiology and Nuclear Medicine.
  • Mukamal K; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Männistö S; Department of Chronic Disease Prevention, National Institute for Health and Welfare, Haartmaninkatu 8, Helsinki 00290, Finland.
  • Hallmans G; Department of Public Health and Clinical Medicine, Nutritional Research.
  • Jula A; THL-National Institute for Health and Welfare, Mannerheimintie 166, Helsinki 00300, Finland.
  • Ericson U; Department of Clinical Sciences-Malmö, Lund University, Malmö, Sweden.
  • Jacobs DR; Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
  • Van Rooij FJ; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands.
  • Deloukas P; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
  • Sjögren P; Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism.
  • Kähönen M; Department of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland.
  • Djousse L; Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA, Harvard Medical School and Boston VA Healthcare System, Boston, MA, USA.
  • Perola M; Unit of Public Health Genomics, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki 00290, Finland, University of Tartu, Estonian Genome Center, Ülikooli 18, Tartu 50090, Estonia.
  • Barroso I; Metabolic Disease Group, Wellcome Trust Sanger Institute, Hinxton, UK, University of Cambridge Metabolic Research Labs, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.
  • Hofman A; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands.
  • Stirrups K; William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Hum Mol Genet ; 24(16): 4728-38, 2015 Aug 15.
Article en En | MEDLINE | ID: mdl-25994509
ABSTRACT
Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize (a) associations of each GRS with BMI and BMI-adjusted WHR and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Polimorfismo de Nucleótido Simple / Población Blanca / Epistasis Genética / Sitios Genéticos / Obesidad Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Polimorfismo de Nucleótido Simple / Población Blanca / Epistasis Genética / Sitios Genéticos / Obesidad Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2015 Tipo del documento: Article