Literature DB >> 20927120

Variations in/nearby genes coding for JAZF1, TSPAN8/LGR5 and HHEX-IDE and risk of type 2 diabetes in Han Chinese.

Dai-zhan Zhou1, Yun Liu, Di Zhang, Si-min Liu, Lan Yu, Yi-feng Yang, Teng Zhao, Zhuo Chen, Meng-yuan Kan, Zuo-feng Zhang, Guo-yin Feng, He Xu, Lin He.   

Abstract

Several genetic loci (JAZF1, CDC123/CAMK1D, TSPAN8/LGR5, ADAMTS9, VEGFA and HHEX-IDE) were identified to be significantly related to the risk of type 2 diabetes and quantitative metabolic traits in European populations. Here, we aimed to evaluate the impacts of these novel loci on type 2 diabetes risk in a population-based case-control study of Han Chinese (1912 cases and 2041 controls). We genotyped 13 single-nucleotide polymorphisms (SNPs) in/near these genes and examined the differences in allele/genotype frequency between cases and controls. We found that both IDE rs11187007 and HHEX rs1111875 were associated with type 2 diabetes risk (for both variants: odds ratio (OR)=1.15, 95% confidence interval (CI) 1.04-1.28, P=0.009). In a meta-analysis where we pooled our data with the three previous studies conducted in East Asians, we found that the variants of JAZF1 rs864745 (1.09 (1.03-1.16); P=3.49 × 10(-3)) and TSPAN8/LGR5 rs7961581 (1.11(1.05-1.17); P=1.89 × 10(-4)) were significantly associated with type 2 diabetes risk. In addition, the meta-analysis (7207 cases and 8260 controls) also showed that HHEX rs1111875 did have effects on type 2 diabetes in Chinese population (OR=1.15(1.10-1.21); P=1.93 × 10(-8)). This large population-based study and meta-analysis further confirmed the modest effects of the JAZF1, TSPAN8/LGR5 and HHEX-IDE loci on type 2 diabetes in Chinese and other East Asians.

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Year:  2010        PMID: 20927120     DOI: 10.1038/jhg.2010.117

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  16 in total

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7.  Cumulative effect and predictive value of genetic variants associated with type 2 diabetes in Han Chinese: a case-control study.

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10.  Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes.

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Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

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