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Prediabetes is associated with HNF-4 α P2 promoter polymorphism rs1884613: a case-control study in Han Chinese population and an updated meta-analysis.

Wang C, Chen S, Zhang T, Chen Z, Liu S, Peng X, Ma J, Zhong X, Yan Y, Tang L, Mai Y, Han L, Duan S - Dis. Markers (2014)

Bottom Line: All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province.Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk.In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis.

View Article: PubMed Central - PubMed

Affiliation: Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China.

ABSTRACT

Background: Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk.

Methods: Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk.

Results: Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16-1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14-1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis.

Conclusions: Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.

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Related in: MedlinePlus

Meta-analysis of rs1884613 and type 2 diabetes risk under an additive model.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: Meta-analysis of rs1884613 and type 2 diabetes risk under an additive model.

Mentions: No significant association was observed in the whole meta-analysis (Table 5 and Figure 1, OR = 1.05, 95% CI = 0.99–1.11, P = 0.06, Pheterogeneity = 0.03, and I2 = 54.7%). No significant associations were observed in the stratified analyses by source of controls and ethnicity (Table 5). Significant heterogeneity was found in the whole meta-analysis and the subgroup meta-analysis (White and population-based studies). The Begg's and Egger's tests were performed to assess the publication bias, and no evidence of publication bias was observed (Table 5).


Prediabetes is associated with HNF-4 α P2 promoter polymorphism rs1884613: a case-control study in Han Chinese population and an updated meta-analysis.

Wang C, Chen S, Zhang T, Chen Z, Liu S, Peng X, Ma J, Zhong X, Yan Y, Tang L, Mai Y, Han L, Duan S - Dis. Markers (2014)

Meta-analysis of rs1884613 and type 2 diabetes risk under an additive model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4226192&req=5

fig1: Meta-analysis of rs1884613 and type 2 diabetes risk under an additive model.
Mentions: No significant association was observed in the whole meta-analysis (Table 5 and Figure 1, OR = 1.05, 95% CI = 0.99–1.11, P = 0.06, Pheterogeneity = 0.03, and I2 = 54.7%). No significant associations were observed in the stratified analyses by source of controls and ethnicity (Table 5). Significant heterogeneity was found in the whole meta-analysis and the subgroup meta-analysis (White and population-based studies). The Begg's and Egger's tests were performed to assess the publication bias, and no evidence of publication bias was observed (Table 5).

Bottom Line: All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province.Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk.In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis.

View Article: PubMed Central - PubMed

Affiliation: Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China.

ABSTRACT

Background: Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk.

Methods: Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk.

Results: Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16-1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14-1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis.

Conclusions: Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.

Show MeSH
Related in: MedlinePlus