Dataset Information

Meta-analysis of the association between transforming growth factor-beta polymorphisms and complications of coronary heart disease.

ABSTRACT:

Objective

To investigate the association between common transforming growth factor beta (TGF-β) single nucleotide polymorphisms (SNP) and significant complications of coronary heart disease (CHD).

Method

We performed a meta-analysis of published case-control studies assessing the association of TGF-β SNPs with a range of CHD complications. A random effects model was used to calculate odds ratios and confidence intervals. Analyses were conducted for additive, dominant and recessive modes of inheritance.

Results

Six studies involving 5535 cases and 2970 controls examining the association of common SNPs in TGF-β1 with CHD were identified. Applying a dominant model of inheritance, three TGF-β1 SNPs were significantly associated with CHD complications: The T alleles of rs1800469 (OR = 1.125, 95% CI 1.016-1.247, p = 0.031) and rs1800470 (OR = 1.146, 95% CI 1.026-1.279, p = 0.021); and the C allele of rs1800471 (OR = 1.207, 95% CI 1.037-1.406, p = 0.021).

Conclusion

This meta-analysis suggests that common genetic polymorphisms in TGF-β1 are associated with complications of CHD.

SUBMITTER: Morris DR

PROVIDER: S-EPMC3360665 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Publications

Meta-analysis of the association between transforming growth factor-beta polymorphisms and complications of coronary heart disease.

Morris Dylan R DR Moxon Joseph V JV Biros Erik E Krishna Smriti M SM Golledge Jonathan J

PloS one 20120525 5

<h4>Objective</h4>To investigate the association between common transforming growth factor beta (TGF-β) single nucleotide polymorphisms (SNP) and significant complications of coronary heart disease (CHD).<h4>Method</h4>We performed a meta-analysis of published case-control studies assessing the association of TGF-β SNPs with a range of CHD complications. A random effects model was used to calculate odds ratios and confidence intervals. Analyses were conducted for additive, dominant and recessive ...[more]

PMID: 22662243

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Project description:ObjectiveTo explore the association between transforming growth factor-beta1 (TGF-?1) T869C polymorphism and risk of ischemic stroke (IS) by performing a meta-analysis based on published articles.MethodsSystematic electronic searches of PubMed, Science Direct, BIOSIS Previews, Chinese Biomedical Database, Chinese National Knowledge Infrastructure, and WANFANG Database were performed. The strength of the association was calculated by pooled odds ratios (ORs) with 95% confidence intervals (95%CIs). Subgroup analysis was conducted to explore potential sources of heterogeneity. Sensitivity analysis was performed to elucidate the stability of the outcomes. Publication bias was evaluated by Begg's funnel plot and Egger's test.ResultsA total of 6 studies involving 1701 cases were included. The overall estimates did not show any significant association between TGF-?1 T869C polymorphism and risk of IS under all genetic models (C vs. T: OR?=?1.08,95%CI?=?0.88-1.32; CC vs. TT:OR?=?1.17,95%CI?=?0.79-1.72; CT vs. TT: OR?=?0.91, 95%CI?=?0.68-1.22; CC+CT vs. TT: OR?=?0.99, 95%CI?=?0.73-1.35; CC vs. CT+TT: OR?=?1.23, 95%CI?=?0.95-1.59). Similar lacking associations were observed in subgroup analysis based on ethnicity and source of controls. When stratified by study design, significant increased association of IS risk was found in cohort studies under genetic models except recessive model(C vs. T: OR?=?1.18, 95%CI?=?1.05-1.32; CC vs. TT: OR?=?1.40, 95%CI?=?1.10-1.77; CT vs. TT: OR?=?1.23, 95%CI?=?1.02-1.49; CC+CT vs. TT: OR?=?1.27, 95%CI?=?1.03-1.57; CC vs. CT+TT, OR?=?1.21, 95%CI?=?0.99-1.47), whereas in case-control studies a significant decreased risk was detected under heterozygote comparison(CT vs. CC: OR?=?0.72, 95%CI?=?0.57-0.92). However, after correction for multiple testing, the associations were observed to be null significant in both cohort and case-control subgroups among all genetic models.ConclusionThis meta-analysis suggested that current epidemiological studies of TGF-?1 T869C polymorphism are too inconsistent to draw a conclusion on the association with IS susceptibility. Given the small sample size and remarkable between-study heterogeneity, further well-designed prospective large-scale studies are warranted.

Dataset Information

Meta-analysis of the association between transforming growth factor-beta polymorphisms and complications of coronary heart disease.

Objective

Method

Results

Conclusion

Publications

Meta-analysis of the association between transforming growth factor-beta polymorphisms and complications of coronary heart disease.

Similar Datasets

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