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The heritable basis of gene-environment interactions in cardiometabolic traits.
Poveda, Alaitz; Chen, Yan; Brändström, Anders; Engberg, Elisabeth; Hallmans, Göran; Johansson, Ingegerd; Renström, Frida; Kurbasic, Azra; Franks, Paul W.
Afiliação
  • Poveda A; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
  • Chen Y; Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
  • Brändström A; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
  • Engberg E; Centre for Demographic and Ageing Research, Umeå University, Umeå, Sweden.
  • Hallmans G; Centre for Demographic and Ageing Research, Umeå University, Umeå, Sweden.
  • Johansson I; Department of Biobank Research, Umeå University, Umeå, Sweden.
  • Renström F; Department of Biobank Research, Umeå University, Umeå, Sweden.
  • Kurbasic A; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Clinical Research Centre, Lund University, Jan Waldenströms gata 35, Building 91, Skåne University Hospital, SE-20502, Malmö, Sweden.
  • Franks PW; Department of Biobank Research, Umeå University, Umeå, Sweden.
Diabetologia ; 60(3): 442-452, 2017 03.
Article em En | MEDLINE | ID: mdl-28004149
AIMS/HYPOTHESIS: Little is known about the heritable basis of gene-environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype-environment interactions. METHODS: Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. RESULTS: All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h 2) ranging from 24% to 47%. Genotype-environment interactions were detected for age and sex (for the majority of traits), physical activity (for triacylglycerols, 2 h glucose and diastolic BP), smoking (for weight), alcohol intake (for weight, BMI and 2 h glucose) and diet pattern (for weight, BMI, glycaemic traits and systolic BP). Genotype-age interactions for weight and systolic BP, genotype-sex interactions for BMI and triacylglycerols and genotype-alcohol intake interactions for weight remained significant after multiple test correction. CONCLUSIONS/INTERPRETATION: Age, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interação Gene-Ambiente Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Diabetologia Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interação Gene-Ambiente Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Diabetologia Ano de publicação: 2017 Tipo de documento: Article