ArticleEuropean journal of epidemiology2010
Impact of Hardy-Weinberg equilibrium deviation on allele-based risk effect of genetic association studies and meta-analysis.
Article in European journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 11 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 11 syntheses or guidelines pooled it.
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- The correlation between rs2501577 gene polymorphism and biliary atresia: a systematic review and meta-analysis.Pediatric surgery international · 2023Pooled it
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- Association between interleukin-10 polymorphisms and sepsis: a meta-analysis.Epidemiology and infection · 2015Pooled it
- Obstructive Sleep Apnea Susceptibility Genes in Chinese Population: A Field Synopsis and Meta-Analysis of Genetic Association Studies.PloS one · 2015Pooled it
- Quantitative assessment of the influence of EPHX1 gene polymorphisms and cancer risk: a meta-analysis with 94,213 subjects.Journal of experimental & clinical cancer research : CR · 2014Pooled it
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- The role of TLR4 896 A>G and 1196 C>T in susceptibility to infections: a review and meta-analysis of genetic association studies.PloS one · 2013Pooled it
- Association ofCancer genomics & proteomicsPooled it
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- Human NCR3 gene variants rs2736191 and rs11575837 alter longitudinal risk for development of pediatric malaria episodes and severe malarial anemia.BMC genomics · 2023Observational
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Abstract
Deviations from Hardy-Weinberg equilibrium (HWE) in control subjects may bias the estimates of genetic effects in genetic association studies (GAS) and meta-analysis. A large empirical evaluation was carried out to evaluate the impact of HWE deviation and explore the effect of variance adjustment for the allele-based odds ratio in 833 individual GAS and 72 meta-analyses. In individual GAS, the variance adjustment for any deviation from HWE resulted in stronger associations, and 10 GAS (1%) became significant (P < 0.05). One hundred sixteen GAS (14%) showed significant deviation from HWE (P (HWE) < 0.05); however, only 37 GAS (4%) had more than 90% power to detect significant deviation from HWE at the 5% level. In meta-analyses, adjustment for any deviation from HWE improved the significance in 53 meta-analyses (74%). Then, a formal statistical significance (P < 0.05) was revealed for one previously negative meta-analyses whereas one meta-analysis lost its significance. Between-study heterogeneity was enhanced in 50 meta-analyses (69%). None of the meta-analyses lost the significance of heterogeneity (P ( Q ) < 0.10) whereas in one meta-analysis, the non significant heterogeneity became significant. Sensitivity analysis for studies not conforming to HWE (P (HWE) < 0.05) was applied to 45 meta-analyses (69%). Then, the significance of association was increased in 26 the meta-analyses (58%) and one meta-analysis became significant (P < 0.05) whereas seven meta-analyses (16%) were no longer significant. Adjustment for HWE deviation could be an effective strategy for dealing with HWE violations in GAS and meta-analyses.
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