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Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population

INTRODUCTION: The development of type 2 diabetes results from an interaction of hereditary factors and environmental factors. This study aimed to investigate the contribution of interrelatedness to the risk of developing type 2 diabetes in an isolated Dutch population. MATERIALS AND METHODS: A genea...

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Autores principales: de Visser, Kees L., Landman, Gijs W. D., Meyboom-de Jong, Betty, de Visser, Wim, te Meerman, Gerard J., Bilo, Henk J. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508118/
https://www.ncbi.nlm.nih.gov/pubmed/26193086
http://dx.doi.org/10.1371/journal.pone.0132549
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author de Visser, Kees L.
Landman, Gijs W. D.
Meyboom-de Jong, Betty
de Visser, Wim
te Meerman, Gerard J.
Bilo, Henk J. G.
author_facet de Visser, Kees L.
Landman, Gijs W. D.
Meyboom-de Jong, Betty
de Visser, Wim
te Meerman, Gerard J.
Bilo, Henk J. G.
author_sort de Visser, Kees L.
collection PubMed
description INTRODUCTION: The development of type 2 diabetes results from an interaction of hereditary factors and environmental factors. This study aimed to investigate the contribution of interrelatedness to the risk of developing type 2 diabetes in an isolated Dutch population. MATERIALS AND METHODS: A genealogical database from inhabitants living on the former island Urk between the 14(th) and 21(st) century was constructed. In a case-control study, effects of interrelatedness and the risk of type 2 diabetes were estimated with Kinship Coefficients (KCs). Relative risks in first, second, and third degree relatives and spouses of inhabitants with type 2 diabetes were compared to matched controls. RESULTS: Patients with type 2 diabetes were more interrelated, expressed by a higher KC compared to controls (7.2 vs. 5.2, p=0.001). First, second and third degree relatives had an increased risk of developing type 2 diabetes. Second degree relatives had a similar risk,1.7 (1.5-2.0) as third degree relatives,1.8 (1.5-2.2). Spouses of patients with diabetes had a 3.4 (2.7-4.4) higher risk of developing type 2 diabetes. CONCLUSIONS: Interrelatedness was higher among inhabitants with type 2 diabetes compared to controls. This differences extended beyond the nuclear family, thereby supporting the hypothesis that interrelatedness contributed to the development of type 2 diabetes on Urk. However, the size of this effect was small and the patterns of risk in first, second and third degree relatives suggested that factors other than interrelatedness were the main contributors to the development of type 2 diabetes on Urk.
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spelling pubmed-45081182015-07-24 Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population de Visser, Kees L. Landman, Gijs W. D. Meyboom-de Jong, Betty de Visser, Wim te Meerman, Gerard J. Bilo, Henk J. G. PLoS One Research Article INTRODUCTION: The development of type 2 diabetes results from an interaction of hereditary factors and environmental factors. This study aimed to investigate the contribution of interrelatedness to the risk of developing type 2 diabetes in an isolated Dutch population. MATERIALS AND METHODS: A genealogical database from inhabitants living on the former island Urk between the 14(th) and 21(st) century was constructed. In a case-control study, effects of interrelatedness and the risk of type 2 diabetes were estimated with Kinship Coefficients (KCs). Relative risks in first, second, and third degree relatives and spouses of inhabitants with type 2 diabetes were compared to matched controls. RESULTS: Patients with type 2 diabetes were more interrelated, expressed by a higher KC compared to controls (7.2 vs. 5.2, p=0.001). First, second and third degree relatives had an increased risk of developing type 2 diabetes. Second degree relatives had a similar risk,1.7 (1.5-2.0) as third degree relatives,1.8 (1.5-2.2). Spouses of patients with diabetes had a 3.4 (2.7-4.4) higher risk of developing type 2 diabetes. CONCLUSIONS: Interrelatedness was higher among inhabitants with type 2 diabetes compared to controls. This differences extended beyond the nuclear family, thereby supporting the hypothesis that interrelatedness contributed to the development of type 2 diabetes on Urk. However, the size of this effect was small and the patterns of risk in first, second and third degree relatives suggested that factors other than interrelatedness were the main contributors to the development of type 2 diabetes on Urk. Public Library of Science 2015-07-20 /pmc/articles/PMC4508118/ /pubmed/26193086 http://dx.doi.org/10.1371/journal.pone.0132549 Text en © 2015 de Visser et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
de Visser, Kees L.
Landman, Gijs W. D.
Meyboom-de Jong, Betty
de Visser, Wim
te Meerman, Gerard J.
Bilo, Henk J. G.
Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title_full Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title_fullStr Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title_full_unstemmed Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title_short Familial Aggregation between the 14(th) and 21(st) Century and Type 2 Diabetes Risk in an Isolated Dutch Population
title_sort familial aggregation between the 14(th) and 21(st) century and type 2 diabetes risk in an isolated dutch population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508118/
https://www.ncbi.nlm.nih.gov/pubmed/26193086
http://dx.doi.org/10.1371/journal.pone.0132549
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