Bivariate genetic modelling of the response to an oral glucose tolerance challenge: a gene x environment interaction approach

Diabetologia. 2009 Jun;52(6):1048-55. doi: 10.1007/s00125-009-1325-8. Epub 2009 Mar 14.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Twin Study

MeSH terms

  • Adult
  • Blood Glucose / genetics
  • Body Mass Index
  • Environment*
  • Fasting
  • Female
  • Glucose Tolerance Test
  • Humans
  • Insulin / genetics
  • Middle Aged
  • Models, Genetic*
  • Models, Theoretical*
  • Twins, Dizygotic
  • Twins, Monozygotic

Substances

  • Blood Glucose
  • Insulin