Literature DB >> 22540253

Gene-environment interactions in the development of type 2 diabetes: recent progress and continuing challenges.

Marilyn C Cornelis1, Frank B Hu.   

Abstract

Type 2 diabetes (T2D) is thought to arise from the complex interplay of both genetic and environmental factors. Since the advent of genome-wide association studies (GWAS), we have seen considerable progress in our understanding of the role that genetics and gene-environment interactions play in the development of T2D. Recent work suggests that the adverse effect of several T2D loci may be abolished or at least attenuated by higher physical activity levels or healthy lifestyle, whereas low physical activity and dietary factors characterizing a Western dietary pattern may augment it. However, there still remain inconsistencies warranting further investigation. Lack of statistical power and measurement errors for the environmental factors continue to challenge our efforts for characterizing interactions. Although our recent focus on established T2D loci is reasonable, we may be overlooking many other potential loci not captured by recent T2D GWAS. Agnostic approaches to the discovery of gene and environment interactions may address this possibility, but their application to the field is currently limited and still faces conceptual challenges. Nonetheless, continued investment in gene-environment interaction studies through large collaborative efforts holds promise in furthering our understanding of the interplay between genetic and environmental factors.

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Year:  2012        PMID: 22540253     DOI: 10.1146/annurev-nutr-071811-150648

Source DB:  PubMed          Journal:  Annu Rev Nutr        ISSN: 0199-9885            Impact factor:   11.848


  57 in total

1.  A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.

Authors:  Liang He; Ilya Zhbannikov; Konstantin G Arbeev; Anatoliy I Yashin; Alexander M Kulminski
Journal:  Genet Epidemiol       Date:  2017-06-21       Impact factor: 2.135

2.  Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Authors:  Carolyn M Hutter; Leah E Mechanic; Nilanjan Chatterjee; Peter Kraft; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2013-10-05       Impact factor: 2.135

Review 3.  Genetic variants and the risk of gestational diabetes mellitus: a systematic review.

Authors:  Cuilin Zhang; Wei Bao; Ying Rong; Huixia Yang; Katherine Bowers; Edwina Yeung; Michele Kiely
Journal:  Hum Reprod Update       Date:  2013-05-19       Impact factor: 15.610

Review 4.  Gene-Environment Interaction: A Variable Selection Perspective.

Authors:  Fei Zhou; Jie Ren; Xi Lu; Shuangge Ma; Cen Wu
Journal:  Methods Mol Biol       Date:  2021

5.  EpiHealth: a large population-based cohort study for investigation of gene-lifestyle interactions in the pathogenesis of common diseases.

Authors:  Lars Lind; Sölve Elmståhl; Ebba Bergman; Martin Englund; Eva Lindberg; Karl Michaelsson; Peter M Nilsson; Johan Sundström
Journal:  Eur J Epidemiol       Date:  2013-02-24       Impact factor: 8.082

Review 6.  Contribution of the Nurses' Health Studies to Uncovering Risk Factors for Type 2 Diabetes: Diet, Lifestyle, Biomarkers, and Genetics.

Authors:  Sylvia H Ley; Andres V Ardisson Korat; Qi Sun; Deirdre K Tobias; Cuilin Zhang; Lu Qi; Walter C Willett; JoAnn E Manson; Frank B Hu
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

7.  Heritability of Type 2 Diabetes in the Washington State Twin Registry.

Authors:  Ally R Avery; Glen E Duncan
Journal:  Twin Res Hum Genet       Date:  2019-04       Impact factor: 1.587

Review 8.  Diet and Cardiovascular Disease: Advances and Challenges in Population-Based Studies.

Authors:  An Pan; Xu Lin; Elena Hemler; Frank B Hu
Journal:  Cell Metab       Date:  2018-03-06       Impact factor: 27.287

9.  Mediation analysis in a case-control study when the mediator is a censored variable.

Authors:  Jian Wang; Jing Ning; Sanjay Shete
Journal:  Stat Med       Date:  2018-11-12       Impact factor: 2.373

10.  Type 2 Diabetes Genetics: Beyond GWAS.

Authors:  Dharambir K Sanghera; Piers R Blackett
Journal:  J Diabetes Metab       Date:  2012-06-23
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