Meta-analysis Report
Basic Info
| Reference |
Feng, W. P., 2014 PMID: 24533115
|
| Citation |
Feng, W. P., et al. (2014). "Lack of Association of P2RX7 Gene rs2230912 Polymorphism with Mood Disorders: A Meta-Analysis." PLoS One 9(2): e88575.
|
| Disease Type |
Bipolar Disorder & Unipolar Depression |
| Study Type |
Candidate-gene association study |
Detail Info
| Samples |
6,962 cases and 9,262 controls from 13 separate studies.We also performed disease-specific meta-analysis in unipolar depression (six studies, 3,270 cases and 5,194 controls) and bipolar disorder (ten studies, 3,257 cases and 5,627 controls). |
| Statistic Method |
We assessed the relationship between the allele, as well as genotypes and susceptibility to mood disorders. The odds ratio (OR) and its 95% confidence interval (95%CI) were estimated for each study. The heterogeneity between the study results was assessed by the Chi square-test based Q-statistic. A significant Q-statistic (P,0.10) indicated heterogeneity across studies. The degree of heterogeneity was further assessed with the I2 statistics (I2=100%6(Q-df)/Q). Meta-regression was performed to detect the source of heterogeneity. Dependent on the results of heterogeneity test among individual studies, the fixed effect model (Mantel–Haenszel) or random effect model (DerSimonian–Laird) was selected to summarize the pooled OR. Publication bias was evaluated by visual inspection of the funnel plot. Funnel plot asymmetry was further evaluated by the method of Egger’s linear regression test. Additionally, Chi square-test was used to determine if observed frequencies of genotypes conformed to Hardy-Weinberg equilibrium (HWE) expectations. Analyses were performed using the software Review Manager (v4.2; Oxford, England) and Stata statistical software (v10.0; StataCorp, College Station, TX, USA). P,0.05 (two-tailed) was considered statisti- cally significant. |
| Basic Result |
No significant association of rs2230912 with mood disorders was found (P<0.05). We also performed disease-specific meta-analysis in unipolar depression and bipolar disorder. No significant association of this polymorphism with unipolar depression or bipolar disorder was found (P<0.05). Additionally, we performed subgroup analysis by different types of cases. No significant association of this polymorphism with mood disorders in clinical cohorts or population-based cohorts (P<0.05). A significant association of this polymorphism with mood disorders was found for the allele contrast in family-based cohorts (OR=1.26, 95%CI=1.05–1.50, P=0.01). |
SNPs reported by this study for BD (count: 1)
| SNP |
Related Gene(s) |
Allele Change |
Risk Allele |
Statistical Values |
Author Comments |
Result Category |
| rs2230912 |
P2RX7
|
G/A |
|
HWE; P-value=0.08, OR=1.08, 95%CI=0.99-1.17 for G allele compared with A allele; P-value=0.36, OR=1.09, 95%CI=0.91–1.30 for AG+GG vs AA; P-value=0.96, OR=0.99, 95%CI=0.71–1.38 for GG vs AA+AG; P-value=0.90, OR=1.02, 95%CI=0.73–1.42 for GG vs AA; P-value=0.31, OR=1.10, 95%CI=0.92–1.32 for AG vs AA.
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Our meta-analysis suggests that P2RX7 gene rs2230912 polymor......
Our meta-analysis suggests that P2RX7 gene rs2230912 polymorphism may not contribute to the risk of developing mood disorders using a case-control design.
More...
|
Negative
|
Genes reported by this study for BD (count: 1)
| Gene |
Statistical Values/Author Comments |
Result Category |
| P2RX7 |
Our meta-analysis suggests that P2RX7 gene rs2230912 polymorphism may not contribute to the risk of ......
Our meta-analysis suggests that P2RX7 gene rs2230912 polymorphism may not contribute to the risk of developing mood disorders using a case-control design.
More...
|
Negative
|
