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Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study
BACKGROUND: Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028183/ https://www.ncbi.nlm.nih.gov/pubmed/24845081 http://dx.doi.org/10.1371/journal.pmed.1001647 |
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author | Langenberg, Claudia Sharp, Stephen J. Franks, Paul W. Scott, Robert A. Deloukas, Panos Forouhi, Nita G. Froguel, Philippe Groop, Leif C. Hansen, Torben Palla, Luigi Pedersen, Oluf Schulze, Matthias B. Tormo, Maria-Jose Wheeler, Eleanor Agnoli, Claudia Arriola, Larraitz Barricarte, Aurelio Boeing, Heiner Clarke, Geraldine M. Clavel-Chapelon, Françoise Duell, Eric J. Fagherazzi, Guy Kaaks, Rudolf Kerrison, Nicola D. Key, Timothy J. Khaw, Kay Tee Kröger, Janine Lajous, Martin Morris, Andrew P. Navarro, Carmen Nilsson, Peter M. Overvad, Kim Palli, Domenico Panico, Salvatore Quirós, J. Ramón Rolandsson, Olov Sacerdote, Carlotta Sánchez, María-José Slimani, Nadia Spijkerman, Annemieke M. W. Tumino, Rosario van der A, Daphne L. van der Schouw, Yvonne T. Barroso, Inês McCarthy, Mark I. Riboli, Elio Wareham, Nicholas J. |
author_facet | Langenberg, Claudia Sharp, Stephen J. Franks, Paul W. Scott, Robert A. Deloukas, Panos Forouhi, Nita G. Froguel, Philippe Groop, Leif C. Hansen, Torben Palla, Luigi Pedersen, Oluf Schulze, Matthias B. Tormo, Maria-Jose Wheeler, Eleanor Agnoli, Claudia Arriola, Larraitz Barricarte, Aurelio Boeing, Heiner Clarke, Geraldine M. Clavel-Chapelon, Françoise Duell, Eric J. Fagherazzi, Guy Kaaks, Rudolf Kerrison, Nicola D. Key, Timothy J. Khaw, Kay Tee Kröger, Janine Lajous, Martin Morris, Andrew P. Navarro, Carmen Nilsson, Peter M. Overvad, Kim Palli, Domenico Panico, Salvatore Quirós, J. Ramón Rolandsson, Olov Sacerdote, Carlotta Sánchez, María-José Slimani, Nadia Spijkerman, Annemieke M. W. Tumino, Rosario van der A, Daphne L. van der Schouw, Yvonne T. Barroso, Inês McCarthy, Mark I. Riboli, Elio Wareham, Nicholas J. |
author_sort | Langenberg, Claudia |
collection | PubMed |
description | BACKGROUND: Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. METHODS AND FINDINGS: The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction = 1.20×10(−4)). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction = 1.50×10(−3)) and waist circumference (p for interaction = 7.49×10(−9)). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. CONCLUSIONS: The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention. Please see later in the article for the Editors' Summary |
format | Online Article Text |
id | pubmed-4028183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40281832014-05-21 Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study Langenberg, Claudia Sharp, Stephen J. Franks, Paul W. Scott, Robert A. Deloukas, Panos Forouhi, Nita G. Froguel, Philippe Groop, Leif C. Hansen, Torben Palla, Luigi Pedersen, Oluf Schulze, Matthias B. Tormo, Maria-Jose Wheeler, Eleanor Agnoli, Claudia Arriola, Larraitz Barricarte, Aurelio Boeing, Heiner Clarke, Geraldine M. Clavel-Chapelon, Françoise Duell, Eric J. Fagherazzi, Guy Kaaks, Rudolf Kerrison, Nicola D. Key, Timothy J. Khaw, Kay Tee Kröger, Janine Lajous, Martin Morris, Andrew P. Navarro, Carmen Nilsson, Peter M. Overvad, Kim Palli, Domenico Panico, Salvatore Quirós, J. Ramón Rolandsson, Olov Sacerdote, Carlotta Sánchez, María-José Slimani, Nadia Spijkerman, Annemieke M. W. Tumino, Rosario van der A, Daphne L. van der Schouw, Yvonne T. Barroso, Inês McCarthy, Mark I. Riboli, Elio Wareham, Nicholas J. PLoS Med Research Article BACKGROUND: Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. METHODS AND FINDINGS: The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction = 1.20×10(−4)). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction = 1.50×10(−3)) and waist circumference (p for interaction = 7.49×10(−9)). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. CONCLUSIONS: The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention. Please see later in the article for the Editors' Summary Public Library of Science 2014-05-20 /pmc/articles/PMC4028183/ /pubmed/24845081 http://dx.doi.org/10.1371/journal.pmed.1001647 Text en © 2014 Langenberg 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 Langenberg, Claudia Sharp, Stephen J. Franks, Paul W. Scott, Robert A. Deloukas, Panos Forouhi, Nita G. Froguel, Philippe Groop, Leif C. Hansen, Torben Palla, Luigi Pedersen, Oluf Schulze, Matthias B. Tormo, Maria-Jose Wheeler, Eleanor Agnoli, Claudia Arriola, Larraitz Barricarte, Aurelio Boeing, Heiner Clarke, Geraldine M. Clavel-Chapelon, Françoise Duell, Eric J. Fagherazzi, Guy Kaaks, Rudolf Kerrison, Nicola D. Key, Timothy J. Khaw, Kay Tee Kröger, Janine Lajous, Martin Morris, Andrew P. Navarro, Carmen Nilsson, Peter M. Overvad, Kim Palli, Domenico Panico, Salvatore Quirós, J. Ramón Rolandsson, Olov Sacerdote, Carlotta Sánchez, María-José Slimani, Nadia Spijkerman, Annemieke M. W. Tumino, Rosario van der A, Daphne L. van der Schouw, Yvonne T. Barroso, Inês McCarthy, Mark I. Riboli, Elio Wareham, Nicholas J. Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title | Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title_full | Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title_fullStr | Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title_full_unstemmed | Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title_short | Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study |
title_sort | gene-lifestyle interaction and type 2 diabetes: the epic interact case-cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028183/ https://www.ncbi.nlm.nih.gov/pubmed/24845081 http://dx.doi.org/10.1371/journal.pmed.1001647 |
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