Literature DB >> 32070153

The associations of CYP19A1 rs700518 polymorphism with bone mineral density and risk of osteoporosis: a meta-analysis.

Hua-Jing Ma1, Suo-Chao Fu2, An Xiao3, Wen-Ke Cai4, Ping Wang1, Ming-Li Shen1, Zhi-Yue Li1, Gong-Hao He1.   

Abstract

Osteoporosis is now a worldwide public health problem that seriously endangers human health, but its causes have not yet been fully clarified. Recently, increasing evidence suggested that polymorphisms in CYP19A1 gene were associated with osteoporosis risk and bone mineral density (BMD), but results remained conflicting. We herein performed a meta-analysis based on evidence currently available from the literature to make a more precise estimation of these relationships. The PubMed, Embase, Cochrane library, CNKI (China National Knowledge Infrastructure), and Wan Fang databases were searched for eligible studies. Odds ratio (OR), mean difference (MD), and 95% confidence interval (CI) were applied to assess the strength of these relationships. A total of 8 studies involving 2632 subjects were included in our meta-analysis. We observed that the AG genotype of CYP19A1 rs700518 was significantly associated with lower BMD values of lumbar spine and femoral neck (AG vs. GG: p = .001 and.01, respectively). However, this polymorphism had no obvious impacts on osteoporosis risk according to current available data. In conclusion, the present meta-analysis showed that CYP19A1 rs700518 polymorphism may be a potential candidate biomarker for osteoporosis screening, early diagnosis, and treatment, which will help improve individualized therapy of osteoporosis patients in clinics.

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Keywords:  CYP19A1; Osteoporosis; bone mineral density; meta-analysis; rs700518; single-nucleotide polymorphism

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Year:  2020        PMID: 32070153     DOI: 10.1080/09513590.2020.1727431

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  1 in total

1.  Association of the CYP19A1 rs700518 Polymorphism with Selected Markers of Bone Metabolism in Women with Hyperandrogenism.

Authors:  Izabela Uzar; Anna Bogacz; Elżbieta Sowińska-Przepiera; Krzysztof Piątek; Filip Przerwa; Marlena Wolek; Bogusław Czerny
Journal:  J Clin Med       Date:  2022-06-20       Impact factor: 4.964

  1 in total

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