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Rigshospitalet - a part of Copenhagen University Hospital
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Risk of diabetes among related and unrelated family members

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  • Kristian Aasbjerg
  • Caroline Holm Nørgaard
  • Nanna Vestergaard
  • Peter Søgaard
  • Lars Køber
  • Peter Weeke
  • Gunnar Gislason
  • Christian Torp-Pedersen
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AIMS: The aim was to explore familial aggregation of diabetes in genetically related and unrelated individuals.

METHODS: We included citizens from Danish nationwide registries between 1995 and 2018 and calculated rate ratios (RR) of diabetes based on family relation using Poisson regression.

RESULTS: Of 7.3 million individuals eligible for inclusion, we identified 343,237 (4.7%) with diabetes. The RR of diabetes was 2.02 (95% CI: 1.99-2.05; p < 0.0001) if any relative had diabetes, 1.79 (95% CI: 1.76-1.83) if a father had diabetes, and 2.06 (95% CI: 2.02-2.10) if a mother had diabetes. If both parents had diabetes, the RR was 3.40 (95% CI: 3.24-3.56). Among full siblings, the RR for developing diabetes was 2.77 (95% CI: 2.71-2.84) and 5.76 (95% CI: 5.00-6.63) for twins. For second-degree relatives, half siblings with a common mother had a RR of 2.35 (95% CI: 2.15-2.56), and with a common father 1.99 (95% CI: 1.81-2.17). Furthermore, the RR was 1.60 (95% CI: 1.56-1.64) if a wife had diabetes, and 1.41 (95% CI: 1.38-1.44) if a husband had diabetes. A subgroup analysis of individuals receiving insulin only treatment (N = 23,054) demonstrated a similar risk pattern, although with slightly higher risk estimates.

CONCLUSIONS/INTERPRETATION: Family aggregation of diabetes is associated with genetic disposition with maternal status being the predominant factor. Furthermore, we observed increased risk of diabetes in second-degree relatives, and between unrelated spouses, indicating that environmental factors influence diabetes risk substantially.

Original languageEnglish
JournalDiabetes Research and Clinical Practice
Volume160
Pages (from-to)107997
ISSN0168-8227
DOIs
Publication statusPublished - 2020

Bibliographical note

Copyright © 2020 Elsevier B.V. All rights reserved.

ID: 58981777