Title |
Association between fat mass and obesity associated (FTO) gene rs9939609 A/T polymorphism and polycystic ovary syndrome: a systematic review and meta-analysis
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Published in |
BMC Medical Genomics, August 2017
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DOI | 10.1186/s12881-017-0452-1 |
Pubmed ID | |
Authors |
Ai Ling Liu, Hui Jun Xie, Hong Yan Xie, Jun Liu, Jie Yin, Jin Song Hu, Cui Ying Peng |
Abstract |
Up to now, numerous case-control studies have reported the associations between fat mass and obesity associated (FTO) gene rs9939609 A/T polymorphism and polycystic ovary syndrome (PCOS), however, without a consistent result. Hence we performed current systematic review and meta-analysis to clarify the controversial results. Case-control studies reporting the relationship of rs9939609 A/T polymorphism and PCOS published before April 2015 were searched in Pubmed database without language restriction. Data was analyzed by Review Manager 5.2. A total of five studies involving 5010 PCOS patients and 5300 controls were included for further meta-analysis. The results of meta-analysis showed that the FTO gene rs9939609 A/T polymorphism was significantly different between PCOS group and control group in different gene models (For AA + AT vs. TT: OR = 1.41, 95% CI = 1.28-1.55, P < 0.00001. For AA vs. AT + TT: OR = 1.54, 95% CI = 1.25-1.89, P < 0.0001. For AA vs. TT: OR = 1.74, 95% CI = 1.38-2.18, P < 0.00001. For A vs. T: OR = 1.36, 95% CI = 1.25-1.47, P < 0.00001, respectively) suggesting that A allele was a risk factor for PCOS susceptibility. Furthermore, subgroup analysis in Asian and Caucasian ethnicities also found significant association between rs9939609 A/T polymorphism and PCOS (In Asian subgroup: OR = 1.43, 95% CI = 1.29-1.59, P < 0.0001. In Caucasian subgroup: OR = 1.33, 95% CI = 1.08-1.64, P = 0.008) CONCLUSION: This meta-analysis suggests that rs9939609 A/T polymorphism of FTO gene is associated with PCOS risk, and that A allele is a risk factor for PCOS susceptibility simultaneously. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 124 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 17% |
Student > Bachelor | 17 | 14% |
Researcher | 13 | 10% |
Student > Doctoral Student | 9 | 7% |
Student > Ph. D. Student | 6 | 5% |
Other | 14 | 11% |
Unknown | 44 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 23% |
Biochemistry, Genetics and Molecular Biology | 21 | 17% |
Agricultural and Biological Sciences | 9 | 7% |
Nursing and Health Professions | 5 | 4% |
Chemistry | 1 | <1% |
Other | 8 | 6% |
Unknown | 52 | 42% |