Association of the progesterone receptor gene polymorphism (PROGINS) with endometriosis: a meta-analysis

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This meta-analysis of 12 studies found a trend towards increased risk of endometriosis associated with the variant PROGINS allele, particularly in European populations.

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This paper reports a meta-analysis of 12 published case–control studies (3,321 participants; 1,323 cases and 1,998 controls) evaluating whether the progesterone receptor gene polymorphism PROGINS is associated with risk of endometriosis using odds ratios and genetic-model subgroup analyses. Across models, the presence of the variant allele showed a trend toward increased endometriosis risk, with larger effects in homozygous and recessive comparisons (OR 1.41–1.43, p = 0.15–0.17) and smaller effects in dominant and co-dominant comparisons (OR 1.22, p = 0.11–0.15); sensitivity analyses excluding studies with control Hardy–Weinberg disequilibrium did not substantially change dominant/co-dominant effects but increased homozygous/recessive estimates (OR 1.59, p = 0.09). Geographic subgrouping showed increased, statistically significant associations in European studies, while Brazilian studies had mixed direction with non-significant results. This paper is centrally about endometriosis — it meta-analyzes the association between the PROGINS polymorphism and endometriosis risk.

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Abstract

BACKGROUND: Reported associations of progesterone receptor gene polymorphism (PROGINS) with endometriosis have been inconsistent. AIM OF THE STUDY: To evaluate the association between the PROGINS polymorphism and the risk of endometriosis. METHODOLOGY: A meta-analysis of 12 published case-control studies with a total sample size of 3,321 (1,323 cases/1,998 controls) was performed. We estimated the risk (odds ratio [OR] 95 % confidence intervals) of endometriosis association with the PROGINS polymorphism. RESULTS: An association between the presence of the variant allele and risk of endometriosis was found, more in the homozygous and recessive models (OR 1.41-1.43, p = 0.15-0.17), and less in the dominant and co-dominant models (OR 1.22, p = 0.11-0.15). Reanalysis without the studies whose controls deviated from the Hardy-Weinberg Equilibrium did not materially alter the dominant and co-dominant effects (OR 1.19-1.22, p = 0.19-0.32), but exacerbated the homozygous and recessive effects (OR 1.59, p = 0.09). The subgroups based on geography showed increased risk associations, consistently significant in the European (OR 1.52-2.72, p = 0.0008-0.03) but not in the Brazilian studies, where ORs ranged from reduced (OR 0.70-0.74, p = 0.54-0.61) to increased (OR 1.11, p = 0.75) risks. Heterogeneity was confined in all comparisons to the dominant and co-dominant models (I (2) = 38-70 %), except in the European subgroup, which had zero heterogeneity (I (2) = 0 %) in all genetic models, as did all homozygous and recessive effects. CONCLUSION: This meta-analysis provides a comprehensive profile of the role of the PROGINS polymorphism in endometriosis by exploring the magnitude of the summary effects with modifier analysis. This magnitude is expressed with modulation or exacerbation of the summary effects, as defined by the parameters of the analysis. Thus, the results showed trend towards an increased risk of the variant PROGINS allele and susceptibility for the endometriosis.
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Abstract

Background Reported associations of progesterone receptor gene polymorphism (PROGINS) with endometriosis have been inconsistent. Aim of the study To evaluate the association between the PROGINS polymorphism and the risk of endometriosis. Methodology A meta-analysis of 12 published case–control studies with a total sample size of 3,321 (1,323 cases/1,998 controls) was performed. We estimated the risk (odds ratio [OR] 95 % confidence intervals) of endometriosis association with the PROGINS polymorphism.

Results

An association between the presence of the variant allele and risk of endometriosis was found, more in the homozygous and recessive models (OR 1.41–1.43, p = 0.15–0.17), and less in the dominant and co-dominant models (OR 1.22, p = 0.11–0.15). Reanalysis without the studies whose controls deviated from the Hardy–Weinberg Equilibrium did not materially alter the dominant and co-dominant effects (OR 1.19–1.22, p = 0.19–0.32), but exacerbated the homozygous and recessive effects (OR 1.59, p = 0.09). The subgroups based on geography showed increased risk associations, consistently significant in the European (OR 1.52–2.72, p = 0.0008–0.03) but not in the Brazilian studies, where ORs ranged from reduced (OR 0.70–0.74, p = 0.54–0.61) to increased (OR 1.11, p = 0.75) risks. Heterogeneity was confined in all comparisons to the dominant and co-dominant models (I 2 = 38–70 %), except in the European subgroup, which had zero heterogeneity (I 2 = 0 %) in all genetic models, as did all homozygous and recessive effects.

Conclusion

This meta-analysis provides a comprehensive profile of the role of the PROGINS polymorphism in endometriosis by exploring the magnitude of the summary effects with modifier analysis. This magnitude is expressed with modulation or exacerbation of the summary effects, as defined by the parameters of the analysis. Thus, the results showed trend towards an increased risk of the variant PROGINS allele and susceptibility for the endometriosis. Similar content being viewed by others

References

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We thank Dr. Sevtap Savas from The Memorial University of Newfoundland, Canada, for reviewing the initial drafts. Conflict of interest The authors have no conflicts of interest to declare. Author information Authors and Affiliations Corresponding author Rights and permissions About this article Cite this article Pabalan, N., Salvador, A., Jarjanazi, H. et al. Association of the progesterone receptor gene polymorphism (PROGINS) with endometriosis: a meta-analysis. Arch Gynecol Obstet 290, 1015–1022 (2014). https://doi.org/10.1007/s00404-014-3308-3 Received: Accepted: Published: Issue date: DOI: https://doi.org/10.1007/s00404-014-3308-3

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Polymorphism, Genetic Receptors, Progesterone Alleles Confidence Intervals Endometriosis Female Genetic Predisposition to Disease Genetic Predisposition to Disease Humans Odds Ratio Receptors, Progesterone Risk

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