Gene???environment interactions in the pathogenesis of type 2 diabetes and metabolism

2007 ◽  
Vol 10 (4) ◽  
pp. 420-426 ◽  
Author(s):  
Niels Grarup ◽  
Gitte Andersen
Keyword(s):  
Type 2 Diabetes ◽  
Gene Environment

Gene-environment Interaction on the Risk of Type 2 Diabetes Among Ethnic Minority Populations Living in Europe and North America: A Systematic Review

2020 ◽  
Vol 16 (5) ◽  
pp. 457-470 ◽  
Author(s):  
Mohammad H. Zafarmand ◽  
Parvin Tajik ◽  
René Spijker ◽  
Charles Agyemang
Keyword(s):  
Type 2 Diabetes ◽  
North America ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Minority Groups ◽  
Environment Interaction ◽  
Ethnic Minority Groups ◽  
Gene Environment Interaction ◽  
Gene Environment

Background: The body of evidence on gene-environment interaction (GEI) related to type 2 diabetes (T2D) has grown in the recent years. However, most studies on GEI have sought to explain variation within individuals of European ancestry and results among ethnic minority groups are inconclusive. Objective: To investigate any interaction between a gene and an environmental factor in relation to T2D among ethnic minority groups living in Europe and North America. Methods: We systematically searched Medline and EMBASE databases for the published literature in English up to 25th March 2019. The screening, data extraction and quality assessment were performed by reviewers independently. Results: 1068 studies identified through our search, of which nine cohorts of six studies evaluating several different GEIs were included. The mean follow-up time in the included studies ranged from 5 to 25.7 years. Most studies were relatively small scale and few provided replication data. All studies included in the review included ethnic minorities from North America (Native-Americans, African- Americans, and Aboriginal Canadian), none of the studies in Europe assessed GEI in relation to T2D incident in ethnic minorities. The only significant GEI among ethnic minorities was HNF1A rs137853240 and smoking on T2D incident among Native-Canadians (Pinteraction = 0.006). Conclusion: There is a need for more studies on GEI among ethnicities, broadening the spectrum of ethnic minority groups being investigated, performing more discovery using genome-wide approaches, larger sample sizes for these studies by collaborating efforts such as the InterConnect approach, and developing a more standardized method of reporting GEI studies are discussed.

scholarly journals The Architecture of Risk for Type 2 Diabetes: Understanding Asia in the Context of Global Findings

2014 ◽  
Vol 2014 ◽  
pp. 1-21 ◽  
Author(s):  
Noraidatulakma Abdullah ◽  
John Attia ◽  
Christopher Oldmeadow ◽  
Rodney J. Scott ◽  
Elizabeth G. Holliday
Keyword(s):  
Type 2 Diabetes ◽  
Large Scale ◽  
Potential Contribution ◽  
Asian Countries ◽  
Asian Studies ◽  
Genetic Studies ◽  
Gene Environment ◽  
Diet And Lifestyle ◽  
Lifestyle Patterns

The prevalence of Type 2 diabetes is rising rapidly in both developed and developing countries. Asia is developing as the epicentre of the escalating pandemic, reflecting rapid transitions in demography, migration, diet, and lifestyle patterns. The effective management of Type 2 diabetes in Asia may be complicated by differences in prevalence, risk factor profiles, genetic risk allele frequencies, and gene-environment interactions between different Asian countries, and between Asian and other continental populations. To reduce the worldwide burden of T2D, it will be important to understand the architecture of T2D susceptibility both within and between populations. This review will provide an overview of known genetic and nongenetic risk factors for T2D, placing the results from Asian studies in the context of broader global research. Given recent evidence from large-scale genetic studies of T2D, we place special emphasis on emerging knowledge about the genetic architecture of T2D and the potential contribution of genetic effects to population differences in risk.

Gene‐environment interaction in chronic kidney disease among people with type 2 diabetes from The Malaysian Cohort project: a case‐control study

2020 ◽  
Vol 37 (11) ◽  
pp. 1890-1901 ◽  
Author(s):  
N. Ahmad ◽  
S. A. Shah ◽  
A. H. Abdul Gafor ◽  
N. A. Abdul Murad ◽  
M. A. Kamaruddin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Case Control Study ◽  
Case Control ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
Control Study

306-OR: Gene-Environment Interactions for Type 2 Diabetes in UK Biobank

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 306-OR
Author(s):  
ABHISHEK NAG ◽  
ANUBHA MAHAJAN ◽  
MARK MCCARTHY
Keyword(s):  
Type 2 Diabetes ◽  
Uk Biobank ◽  
Gene Environment ◽  
Or Gene

scholarly journals Interactions between genetic polymorphisms of glucose metabolizing genes and smoking and alcohol consumption in the risk of type 2 diabetes mellitus

2017 ◽  
Vol 42 (12) ◽  
pp. 1316-1321 ◽  
Author(s):  
Kaiping Gao ◽  
Yongcheng Ren ◽  
Jinjin Wang ◽  
Zichen Liu ◽  
Jianna Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lifestyle Factors ◽  
Environment Interaction ◽  
Nucleotide Polymorphisms ◽  
Gene Environment ◽  
Increased Risk ◽  
The Impact

The impact of gene-environment interaction on diabetes remains largely unknown. We aimed to investigate if interaction between glucose metabolizing genes and lifestyle factors is associated with type 2 diabetes mellitus (T2DM). Interactions between genotypes of 4 glucose metabolizing genes (MTNR1B, KCNQ1, KLF14, and GCKR) and lifestyle factors were estimated in 722 T2DM patients and 759 controls, using multiple logistic regression. No significant associations with T2DM were detected for the single nucleotide polymorphisms of MTNR1B, KLF14 and GCKR. However, rs151290 (KCNQ1) polymorphisms were found to be associated with risk of T2DM. Compared with AA, the odds ratios (ORs) of AC or CC genotypes for developing T2DM were 1.545 (P = 0.0489) and 1.603 (P = 0.0383), respectively. In stratified analyses, the associations were stronger in smokers with CC than smokers with AA (OR = 3.668, P = 0.013); drinkers with AC (OR = 5.518, P = 0.036), CC (OR = 8.691, P = 0.0095), and AC+CC (OR = 6.764, P = 0.016) than drinkers with AA. Compared with nondrinkers with AA, drinkers who carry AC and CC had 12.072-fold (P = 0.0007) and 8.147-fold (P = 0.0052) higher risk of developing T2DM. In conclusions, rs151290 (KCNQ1) polymorphisms are associated with increased risk of T2DM, alone and especially in interaction with smoking and alcohol.

Gene × Environment Interactions in Type 2 Diabetes

2011 ◽  
Vol 11 (6) ◽  
pp. 552-561 ◽  
Author(s):  
Paul W. Franks
Keyword(s):  
Type 2 Diabetes ◽  
Gene Environment
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