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Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis
BACKGROUND: Two polymorphisms, rs6165 and rs6166 located in the intracellular domain of FSHR has been reported to affect folliculogenesis, steroidogenesis and oocyte maturation. Several studies have highlighted the role of FSHR polymorphisms in PCOS but the findings are conflicting. A meta-analysis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472705/ https://www.ncbi.nlm.nih.gov/pubmed/37653412 http://dx.doi.org/10.1186/s13048-023-01238-7 |
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author | Kaur, Mandeep Singh, Sukhjashanpreet Kaur, Anupam |
author_facet | Kaur, Mandeep Singh, Sukhjashanpreet Kaur, Anupam |
author_sort | Kaur, Mandeep |
collection | PubMed |
description | BACKGROUND: Two polymorphisms, rs6165 and rs6166 located in the intracellular domain of FSHR has been reported to affect folliculogenesis, steroidogenesis and oocyte maturation. Several studies have highlighted the role of FSHR polymorphisms in PCOS but the findings are conflicting. A meta-analysis was carried out to decipher the emerging perspectives. METHODOLOGY: A comprehensive literature search was made using PubMed, PCOSkb, and Google Scholar. New Ottawa Scale has been utilized to evaluate the quality of each article. To evaluate the strength of association under different genetic models of rs6165 and rs6166 polymorphisms, odds ratio with a 95% confidence interval (CI) was calculated. RESULTS: A total of 20 articles were selected for the present study. In pooled analysis and after the stratification by ethnicity, polymorphism rs6165 remains unrelated to the onset of PCOS. Besides, rs6166 exhibits significant protection in the Indian population under recessive, additive, and allele models (OR = 0.7, CI: 0.54–0.9, p = 0.006, OR = 0.65, CI: 0.48–0.89, p = 0.006, OR = 0.82, CI: 0.7–0.95, p = 0.01, respectively) and low to moderate risk in the Caucasian population under allele model (OR = 1.17, CI: 1.04–1.32, p = 0.01). CONCLUSION: This meta-analysis suggests that GG genotype of rs6166 provides protection against PCOS, in a population-specific manner. |
format | Online Article Text |
id | pubmed-10472705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104727052023-09-02 Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis Kaur, Mandeep Singh, Sukhjashanpreet Kaur, Anupam J Ovarian Res Review BACKGROUND: Two polymorphisms, rs6165 and rs6166 located in the intracellular domain of FSHR has been reported to affect folliculogenesis, steroidogenesis and oocyte maturation. Several studies have highlighted the role of FSHR polymorphisms in PCOS but the findings are conflicting. A meta-analysis was carried out to decipher the emerging perspectives. METHODOLOGY: A comprehensive literature search was made using PubMed, PCOSkb, and Google Scholar. New Ottawa Scale has been utilized to evaluate the quality of each article. To evaluate the strength of association under different genetic models of rs6165 and rs6166 polymorphisms, odds ratio with a 95% confidence interval (CI) was calculated. RESULTS: A total of 20 articles were selected for the present study. In pooled analysis and after the stratification by ethnicity, polymorphism rs6165 remains unrelated to the onset of PCOS. Besides, rs6166 exhibits significant protection in the Indian population under recessive, additive, and allele models (OR = 0.7, CI: 0.54–0.9, p = 0.006, OR = 0.65, CI: 0.48–0.89, p = 0.006, OR = 0.82, CI: 0.7–0.95, p = 0.01, respectively) and low to moderate risk in the Caucasian population under allele model (OR = 1.17, CI: 1.04–1.32, p = 0.01). CONCLUSION: This meta-analysis suggests that GG genotype of rs6166 provides protection against PCOS, in a population-specific manner. BioMed Central 2023-09-01 /pmc/articles/PMC10472705/ /pubmed/37653412 http://dx.doi.org/10.1186/s13048-023-01238-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Kaur, Mandeep Singh, Sukhjashanpreet Kaur, Anupam Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title | Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title_full | Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title_fullStr | Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title_full_unstemmed | Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title_short | Polymorphisms in FSHR modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
title_sort | polymorphisms in fshr modulating susceptibility to polycystic ovary syndrome: an updated meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472705/ https://www.ncbi.nlm.nih.gov/pubmed/37653412 http://dx.doi.org/10.1186/s13048-023-01238-7 |
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