Literature DB >> 12227119

Establishing the role of gene-environment interactions in the etiology of type 2 diabetes.

Nicholas J Wareham1, Paul W Franks, Anne-Helen Harding.   

Abstract

The descriptive epidemiology of type 2 diabetes and findings from cohort studies suggest that this disorder originates in large part from a complex interaction between genetic and environmental factors. Determining the details of these interactions using the nested case-control design may be optimal, but is a long-term and expensive strategy. Quicker and cheaper results may be obtained by studying interaction on the quantitative traits that underlie diabetes; however, the power of such studies to detect interaction is highly dependent on the precision with which non-genetic exposures are measured. Unraveling these interactions will undoubtedly shed light on the etiology of diabetes and will, we hope, lead to opportunities for targeted prevention. Recent studies in high-risk groups such as people with impaired glucose tolerance suggest that the incidence of diabetes can be reduced by more than 50% by interventions aimed at changing dietary and physical activity behavior [39,40]; however, it may be that individuals with a particular genotype are particularly susceptible to the negative metabolic consequences of sedentary living, and that they conversely, therefore, would have most to gain from a targeted preventive intervention program. Understanding how to detect these individuals and which environmental factors a program should attempt to manipulate is a major goal of studies that attempt to unravel gene-environment interaction.

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Year:  2002        PMID: 12227119     DOI: 10.1016/s0889-8529(02)00007-5

Source DB:  PubMed          Journal:  Endocrinol Metab Clin North Am        ISSN: 0889-8529            Impact factor:   4.741


  9 in total

Review 1.  Gene × environment interactions in type 2 diabetes.

Authors:  Paul W Franks
Journal:  Curr Diab Rep       Date:  2011-12       Impact factor: 4.810

2.  High fat diet induced insulin resistance and glucose intolerance are gender-specific in IGF-1R heterozygous mice.

Authors:  Neha Garg; Sachin Thakur; C Alex McMahan; Martin L Adamo
Journal:  Biochem Biophys Res Commun       Date:  2011-09-02       Impact factor: 3.575

3.  Glycemia determines the effect of type 2 diabetes risk genes on insulin secretion.

Authors:  Martin Heni; Caroline Ketterer; Claus Thamer; Silke A Herzberg-Schäfer; Martina Guthoff; Norbert Stefan; Fausto Machicao; Harald Staiger; Andreas Fritsche; Hans-Ulrich Häring
Journal:  Diabetes       Date:  2010-08-29       Impact factor: 9.461

4.  ENPP1 K121Q polymorphism is not related to type 2 diabetes mellitus, features of metabolic syndrome, and diabetic cardiovascular complications in a Chinese population.

Authors:  Miao-Pei Chen; Fu-Mei Chung; Dao-Ming Chang; Jack C-R Tsai; Han-Fen Huang; Shyi-Jang Shin; Yau-Jiunn Lee
Journal:  Rev Diabet Stud       Date:  2006-05-10

5.  Validation of the historical adulthood physical activity questionnaire (HAPAQ) against objective measurements of physical activity.

Authors:  Hervé Besson; Ceryl A Harwood; Ulf Ekelund; Francis M Finucane; Christopher J McDermott; Pamela J Shaw; Nicholas J Wareham
Journal:  Int J Behav Nutr Phys Act       Date:  2010-06-24       Impact factor: 6.457

6.  Quantile-Dependent Heritability of Glucose, Insulin, Proinsulin, Insulin Resistance, and Glycated Hemoglobin.

Authors:  Paul T Williams
Journal:  Lifestyle Genom       Date:  2021-12-06

7.  Daily Yogurt Consumption Improves Glucose Metabolism and Insulin Sensitivity in Young Nondiabetic Japanese Subjects with Type-2 Diabetes Risk Alleles.

Authors:  Daiki Watanabe; Sachi Kuranuki; Akiko Sunto; Naoki Matsumoto; Teiji Nakamura
Journal:  Nutrients       Date:  2018-11-29       Impact factor: 5.717

8.  Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies.

Authors:  Kushan De Silva; Joanne Enticott; Christopher Barton; Andrew Forbes; Sajal Saha; Rujuta Nikam
Journal:  Digit Health       Date:  2021-09-28

9.  Association of MTHFR C677T polymorphism and type 2 diabetes mellitus (T2DM) susceptibility.

Authors:  Yanzi Meng; Xiaoling Liu; Kai Ma; Lili Zhang; Mao Lu; Minsu Zhao; Min-Xin Guan; Guijun Qin
Journal:  Mol Genet Genomic Med       Date:  2019-10-30       Impact factor: 2.183

  9 in total

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