Dataset Information

Genetic associations with diabetes: meta-analyses of 10 candidate polymorphisms.

ABSTRACT:

Aims

The goal of our study is to investigate the combined contribution of 10 genetic variants to diabetes susceptibility.

Methods

Bibliographic databases were searched from 1970 to Dec 2012 for studies that reported on genetic association study of diabetes. After a comprehensive filtering procedure, 10 candidate gene variants with informative genotype information were collected for the current meta-anlayses. Using the REVMAN software, odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the combined contribution of the selected genetic variants to diabetes.

Results

A total of 37 articles among 37,033 cases and 54,716 controls were involved in the present meta-analyses of 10 genetic variants. Three variants were found to be significantly associated with type 1 diabetes (T1D): NLRP1 rs12150220 (OR?=?0.71, 95% CI?=?0.55-0.92, P?=?0.01), IL2RA rs11594656 (OR?=?0.86, 95% CI?=?0.82-0.91, P<0.00001), and CLEC16A rs725613 (OR?=?0.71, 95% CI?=?0.55-0.92, P?=?0.01). APOA5 -1131T/C polymorphism was shown to be significantly associated with of type 2 diabetes (T2D, OR?=?1.27, 95% CI?=?1.03-1.57, P?=?0.03). No association with diabetes was showed in the meta-analyses of other six genetic variants, including SLC2A10 rs2335491, ATF6 rs2070150, KLF11 rs35927125, CASQ1 rs2275703, GNB3 C825T, and IL12B 1188A/C.

Conclusion

Our results demonstrated that IL2RA rs11594656 and CLEC16A rs725613 are protective factors of T1D, while NLRP1 rs12150220 and APOA5 -1131T/C are risky factors of T1D and T2D, respectively.

SUBMITTER: Tang L

PROVIDER: S-EPMC3726433 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Genetic associations with diabetes: meta-analyses of 10 candidate polymorphisms.

Tang Linlin L Wang Lingyan L Liao Qi Q Wang Qinwen Q Xu Leiting L Bu Shizhong S Huang Yi Y Zhang Cheng C Ye Huadan H Xu Xuting X Liu Qiong Q Ye Meng M Mai Yifeng Y Duan Shiwei S

PloS one 20130729 7

<h4>Aims</h4>The goal of our study is to investigate the combined contribution of 10 genetic variants to diabetes susceptibility.<h4>Methods</h4>Bibliographic databases were searched from 1970 to Dec 2012 for studies that reported on genetic association study of diabetes. After a comprehensive filtering procedure, 10 candidate gene variants with informative genotype information were collected for the current meta-anlayses. Using the REVMAN software, odds ratios (ORs) with 95% confidence interval ...[more]

PMID: 23922971

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Project description:Genetic association studies on schizophrenia (SZ) have been repeatedly performed over the last two decades, resulting in a consensus that results are generally inconsistent. This consensus has begun to change as a result of meta-analyses (e.g., [Glatt, S.J. and Jonsson, E.G., 2006. The Cys allele of the DRD2 Ser311Cys polymorphism has a dominant effect on risk for schizophrenia: evidence from fixed- and random-effects meta-analyses. Am. J. Med. Genet. B. Neuropsychiatr. Genet. 141, 149-154.]). The SchizophreniaGene database (http://www.schizophreniaforum.org/res/sczgene/default.asp) has been a leader in meta-analyses of SZ association data, by dynamically and comprehensively cataloging all public genetic association studies, and preparing meta-analyses of case-control data. There are 19 "top" candidate genes from these analyses (access on December 20, 2007), showing the highest effect sizes and nominally significant associations of at least one variant in the meta-analyses of all ethnic samples or of samples of Caucasian ancestry. We selected 40 polymorphisms in 12 selected "top" genes for additional meta-analyses, which had at least one familial association data. We found gene-wide (correction for the number of meta-analyses for each gene) significant allelic association evidence for seven genes in the combined samples. The odds ratios (ORs) of the associated minor risk alleles range from 1.072 to 1.121, for DRD4, MTHFR, PPP3CC and TP53. For protective allele associations, the ORs are between 0.842 and 0.886, for DAO, IL1B, and SLC6A4. In population-based sub-analyses, we found significant results in four genes in Asians (ORs between 1.084 and 1.309 for DRD4, GABRB2, PPP3CC, and TP53), and one gene in European (OR of 0.888 for SLC6A4). The association of rs1816072 of GABRB2 with SZ in Asians was significant (adjusted P=0.048 after correction for 80 tests). No significant heterogeneity between case-control and family-based study designs was detected in 35 out of 40 polymorphisms. Our results further support eight potential SZ candidate genes and suggest that family data can reasonably be included in the meta-analysis of genetic associations.

Dataset Information

Genetic associations with diabetes: meta-analyses of 10 candidate polymorphisms.

Aims

Methods

Results

Conclusion

Publications

Genetic associations with diabetes: meta-analyses of 10 candidate polymorphisms.

Similar Datasets

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