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CYP17A1 (rs74357) polymorphism and polycystic ovary syndrome risk: A systemic review and meta-analysis

BACKGROUND AND AIM: To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS). METHODS: Literature on the association of CYP17A1rs74357 gene polymorphism and susceptibility to PCOS was retrieved by searching databases such as PubMed, Scien...

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Detalles Bibliográficos
Autores principales: Rezgoun, Mohamed Larbi, El Khour, Djihan, Bendaoud, Hiba, Chellat, Djalila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mattioli 1885 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440780/
https://www.ncbi.nlm.nih.gov/pubmed/37539608
http://dx.doi.org/10.23750/abm.v94i4.14229
Descripción
Sumario:BACKGROUND AND AIM: To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS). METHODS: Literature on the association of CYP17A1rs74357 gene polymorphism and susceptibility to PCOS was retrieved by searching databases such as PubMed, Science Direct, Google Scholar and Embase from. The association measure was analyzed using an Odds Ratio (OR) and 95% Confidence Interval (CI). All the statistical analyses were executed using CMA 3.0 Software. RESULTS: In the present meta-analysis, 24 studies including 3462 PCOS and 2898 controls were analyzed. The overall results validated that the 17 CYP17A1 T/C (rs74357) gene polymorphism was significantly associated with PCOS risk in five genetic models: recessive model (fixed and random effect), dominant model (random effect), CC vs. TT (fixed effect), CT vs. TT (fixed effect), and allele contrast (random effect). Stratified analyses by ethnicity/country also detected significant association between Asian and Caucasian under the recessive, dominant, CC vs. TT, CC vs. CT, and the allele contrast models. CONCLUSIONS: In the present study, CYP17A1 T/C (rs74357) gene polymorphism increase the susceptibility of PCOS, and the recessive C allele, can be proposed as a predictive factor for the risk of PCOS or an important pathway in PCOS associated metabolic and hormonal imbalance especially insulin resistance. However, larger sample size and multiracial studies are needed in the future to confirm the findings. (www.actabiomedica.it)