Common quantitative trait locus downstream ofRETNgene identified by genome-wide association study is associated with risk of type 2 diabetes mellitus in Han Chinese: a Mendelian randomization effect

2014 ◽  
Vol 30 (3) ◽  
pp. 232-240 ◽  
Author(s):  
Chia-Min Chung ◽  
Tsung-Hsien Lin ◽  
Jaw-Wen Chen ◽  
Hsin-Bang Leu ◽  
Wei-Hsian Yin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Quantitative Trait Locus ◽  
Type 2 Diabetes Mellitus ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Trait Locus

scholarly journals Systematic Meta-analysis Revealed an Association of PGC-1α rs8192678 Polymorphism in Type 2 Diabetes Mellitus

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Wanning Xia ◽  
Nanxing Chen ◽  
Wenjia Peng ◽  
Xianjie Jia ◽  
Ying Yu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
Genetic Models ◽  
Genome Wide Association ◽  
Genome Wide

Background. Genome-wide association study (GWAS) provides an unprecedented opportunity to reveal substantial genetic contribution to type 2 diabetes mellitus (T2DM) and glycemic identification of allelic heterogeneity and population-specific genetic variants, yet it also faces difficulty due to the vast amount of potential confounding factors and limited availability of clinical data. To identify responsible susceptibility loci and genomic polymorphism for T2DM and glycemic traits, we have systematically investigated a genome-wide association study related to T2DM. Although GWAS has captured many common genetic variations, which are related to T2DM, each risk allele (RA) of single-nucleotide polymorphisms (SNPs) at these loci is not conclusive. Therefore, it is common to present a combination of several SNPs to infer T2DM risk, yet it is still insufficient to be deterministic. To streamline the identification of a deterministic genetic variation in T2DM, we developed this meta-analysis as a showcase to comprehensively identify the association between cumulative RAs and T2DM risk by combining different studies in reported literature and databases. After all, we identified that PGC-1α rs8192678 polymorphism can be considered as a potentially deterministic biomarker in T2DM risk. Previous studies have potentially linked PGC-1α rs8192678 polymorphism to type 2 diabetes mellitus (T2DM) risk, but the results remain inconsistent in different populations and are not conclusive. We developed a new meta-analysis approach to systematically identify the association between PGC-1α rs8192678 polymorphism and T2DM, and we have comprehensively assessed different ethnic groups to validate our findings. Methods. We performed comprehensive information retrieval and knowledge discovery meta-analysis by searching extensively published literature and different electronic databases to acquire eligible studies for the above association study. We developed a method to use pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) in five genetic models (allelic, dominant, recessive, homozygous, and heterozygous genetic models) to identify the relationship among ethnicity subgroup analyses comprehensively. Results. We identified 20 eligible studies consisting of 16,182 subjects (8,038 cases and 8,144 controls) in our meta-analysis. PGC-1α rs8192678 polymorphisms of all subjects showed a significant association with T2DM susceptibility under all genetic models: allelic (OR: 1.24, 95% CI: 1.13-1.35), dominant (OR: 1.27, 95% CI: 1.14-1.42), recessive (OR: 1.24, 95% CI: 1.14-1.36), homozygous (OR: 1.40, 95% CI: 1.20-1.64), and heterozygous (OR: 1.20, 95% CI: 1.06-1.35). In the subgroup analysis, we identified a significant association between PGC-1α rs8192678 polymorphism and T2DM in the Caucasian and Indian populations under all genetic models we investigated. This is the most comprehensive study of the subject to date. Conclusion. Our development of meta-analysis revealed that the minor allele (A) carriers, especially AA genotype carriers, can lead to risk of T2DM in the Caucasian and Indian populations. This is the first report that such risk has been confirmed. Our finding shed new light into the genetic alteration in T2DM.

Quantitative assessment of genetic testing for type 2 diabetes mellitus based on findings of genome-wide association studies

2016 ◽  
Vol 26 (11) ◽  
pp. 816-818.e6
Author(s):  
Satoru Kodama ◽  
Kazuya Fujihara ◽  
Hajime Ishiguro ◽  
Chika Horikawa ◽  
Nobumasa Ohara ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Genetic Testing ◽  
Quantitative Assessment ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations

Diabetes Care ◽  
2020 ◽  
Vol 44 (1) ◽  
pp. 98-106
Author(s):  
Ju-Sheng Zheng ◽  
Jian’an Luan ◽  
Eleni Sofianopoulou ◽  
Fumiaki Imamura ◽  
Isobel D. Stewart ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Vitamin C ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Genome Wide Association ◽  
Plasma Vitamin ◽  
Genome Wide ◽  
Randomization Analysis ◽  
European Populations
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