Literature DB >> 30539833

Catechol-O-methyltransferase 158G/A polymorphism and endometriosis/adenomyosis susceptibility: A meta-analysis in the Chinese population.

Yong-Wei Li1, Chun-Xia Wang2, Jian-She Chen2, Lu Chen3, Xiao-Qian Zhang2, Yue Hu2, Xiao-Bin Niu2, Dong-Xu Pei2, Xin-Wei Liu2, Yong-Yi Bi4.   

Abstract

PURPOSE: An association between catechol-O-methyltransferase (COMT) 158G/A polymorphism and endometriosis/adenomyosis susceptibility has been reported in the previous studies, but the results were inconsistent. This study was conducted to explore this association in the Chinese population using meta-analysis.
MATERIALS AND METHODS: PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure, and Chinese Biology Medicine were searched for all relevant studies published up to December 2015. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the associations.
RESULTS: A total of 7 case-control studies including 782 cases and 700 controls were included in this meta-analysis. Overall, COMT 158G/A polymorphism was found to be significantly associated with endometriosis and adenomyosis risk in the Chinese population (A vs. G, OR = 1.21, 95% CI: 1.02-1.42; AA vs. GG, OR = 1.47, 95% CI: 1.01-2.14; AA vs. GG + GA, OR = 1.42, 95% CI: 0.99-2.03; AA + GA vs. GG, OR = 1.20, 95% CI: 0.97-1.49). In subgroup analyses stratified by ethnicity, source of controls and disease groups, the significant risk was found in Chinese not mentioned the ethnicity, in population-based studies and adenomyosis.
CONCLUSIONS: COMT 158G/A polymorphism may contribute to the risk of endometriosis and adenomyosis in Chinese, particularly for adenomyosis.

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Keywords:  Adenomyosis; catechol-O-methyltransferase; catechol-O-methyltransferase 158G/A; endometriosis; meta-analysis

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Year:  2018        PMID: 30539833     DOI: 10.4103/0973-1482.188439

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  1 in total

1.  A Joint Model of Random Forest and Artificial Neural Network for the Diagnosis of Endometriosis.

Authors:  Jiajie She; Danna Su; Ruiying Diao; Liping Wang
Journal:  Front Genet       Date:  2022-03-08       Impact factor: 4.599

  1 in total

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