4.7 Article

Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study

期刊

DIABETOLOGIA
卷 54, 期 9, 页码 2272-2282

出版社

SPRINGER
DOI: 10.1007/s00125-011-2182-9

关键词

Cohort studies; Diabetes mellitus; Epidemiologic research design; Gene-lifestyle interaction; Genetic epidemiology; Type 2 diabetes

资金

  1. European Union of the European Community [LSHM-CT-2006-037197]
  2. Spanish Ministry of Health
  3. CIBER en Epidemiologia y Salud Publica (CIBERESP), Spain
  4. Murcia Regional Government [6236]
  5. J. Spranger: Heisenberg-Professorship [SP716/2-1]
  6. Clinical Research Group
  7. Research Group (Molecular Nutrition) of the Bundesministerium fur Bildung und Forschung (BMBF)
  8. NL Agency [IGE05012]
  9. Board of the UMC Utrecht
  10. Dutch Ministry of Public Health, Welfare and Sports (VWS)
  11. Netherlands Cancer Registry (NKR)
  12. LK Research Funds
  13. Dutch Prevention Funds
  14. Dutch ZON (Zorg Onderzoek Nederland)
  15. World Cancer Research Fund (WCRF)
  16. Statistics Netherlands (the Netherlands)
  17. Cancer Research UK
  18. Swedish Research Council
  19. The county of V sterbotten
  20. Deutsche Krebshilfe
  21. MRC UK
  22. MRC (Cambridge Lipidomics Biomarker Research Initiative)
  23. Danish Cancer Society
  24. Faculty of Health Science, University of Aarhus, Denmark
  25. Asturias Regional Government
  26. AIRE-ONLUS Ragusa, AVIS-Ragusa, Sicilian Regional Government
  27. Wellcome Trust [083270/Z/07/Z]
  28. MRC [G0601261]
  29. Wellcome Trust [083270/Z/07/Z] Funding Source: Wellcome Trust
  30. MRC [G0601261, MC_U106179473, MC_U106179474, MC_EX_G0800783, MC_UP_A100_1003, MC_UP_A090_1006] Funding Source: UKRI
  31. Medical Research Council [MC_EX_G0800783, G1000143, MC_UP_A090_1006, G0601261, MC_U106179474, MC_U106179471, MC_UP_A100_1003, G0401527, MC_U106179473] Funding Source: researchfish

向作者/读者索取更多资源

Studying gene-lifestyle interaction may help to identify lifestyle factors that modify genetic susceptibility and uncover genetic loci exerting important subgroup effects. Adequately powered studies with prospective, unbiased, standardised assessment of key behavioural factors for gene-lifestyle studies are lacking. This case-cohort study aims to investigate how genetic and potentially modifiable lifestyle and behavioural factors, particularly diet and physical activity, interact in their influence on the risk of developing type 2 diabetes. Incident cases of type 2 diabetes occurring in European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts between 1991 and 2007 from eight of the ten EPIC countries were ascertained and verified. Prentice-weighted Cox regression and random-effects meta-analyses were used to investigate differences in diabetes incidence by age and sex. A total of 12,403 verified incident cases of type 2 diabetes occurred during 3.99 million person-years of follow-up of 340,234 EPIC participants eligible for InterAct. We defined a centre-stratified subcohort of 16,154 individuals for comparative analyses. Individuals with incident diabetes who were randomly selected into the subcohort (n = 778) were included as cases in the analyses. All prevalent diabetes cases were excluded from the study. InterAct cases were followed-up for an average of 6.9 years; 49.7% were men. Mean baseline age and age at diagnosis were 55.6 and 62.5 years, mean BMI and waist circumference values were 29.4 kg/m(2) and 102.7 cm in men, and 30.1 kg/m(2) and 92.8 cm in women, respectively. Risk of type 2 diabetes increased linearly with age, with an overall HR of 1.56 (95% CI 1.48-1.64) for a 10 year age difference, adjusted for sex. A male excess in the risk of incident diabetes was consistently observed across all countries, with a pooled HR of 1.51 (95% CI 1.39-1.64), adjusted for age. InterAct is a large, well-powered, prospective study that will inform our understanding of the interplay between genes and lifestyle factors on the risk of type 2 diabetes development.

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