Your browser doesn't support javascript.
loading
Bivariate genetic modelling of the response to an oral glucose tolerance challenge: a gene x environment interaction approach.
Liu, G F; Riese, H; Spector, T D; Mangino, M; O'Dell, S D; Stolk, R P; Snieder, H.
Afiliação
  • Liu GF; Department of Epidemiology, Unit of Genetic Epidemiology and Bioinformatics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. g.liu@epi.umcg.nl
Diabetologia ; 52(6): 1048-55, 2009 Jun.
Article em En | MEDLINE | ID: mdl-19288074
AIMS/HYPOTHESIS: Twin and family studies have shown the importance of genetic factors influencing fasting and 2 h glucose and insulin levels. However, the genetics of the physiological response to a glucose load has not been thoroughly investigated. METHODS: We studied 580 monozygotic and 1,937 dizygotic British female twins from the Twins UK Registry. The effects of genetic and environmental factors on fasting and 2 h glucose and insulin levels were estimated using univariate genetic modelling. Bivariate model fitting was used to investigate the glucose and insulin responses to a glucose load, i.e. an OGTT. RESULTS: The genetic effect on fasting and 2 h glucose and insulin levels ranged between 40% and 56% after adjustment for age and BMI. Exposure to a glucose load resulted in the emergence of novel genetic effects on 2 h glucose independent of the fasting level, accounting for about 55% of its heritability. For 2 h insulin, the effect of the same genes that already influenced fasting insulin was amplified by about 30%. CONCLUSIONS/INTERPRETATION: Exposure to a glucose challenge uncovers new genetic variance for glucose and amplifies the effects of genes that already influence the fasting insulin level. Finding the genes acting on 2 h glucose independently of fasting glucose may offer new aetiological insight into the risk of cardiovascular events and death from all causes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Meio Ambiente / Modelos Genéticos / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Ano de publicação: 2009 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Meio Ambiente / Modelos Genéticos / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Ano de publicação: 2009 Tipo de documento: Article