<?xml version="1.0"?>
<Articles JournalTitle="Iranian Journal of Public Health">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Iranian Journal of Public Health</JournalTitle>
      <Issn>2251-6085</Issn>
      <Volume>46</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2017</Year>
        <Month>01</Month>
        <Day>25</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Fat Mass and Obesity Associated Gene Polymorphism and the Risk of Polycystic Ovary Syndrome: A Meta-analysis</title>
    <FirstPage>4</FirstPage>
    <LastPage>11</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Ying</FirstName>
        <LastName>LIU</LastName>
        <affiliation locale="en_US">Dept. of Gynecology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China</affiliation>
      </Author>
      <Author>
        <FirstName>Yongxia</FirstName>
        <LastName>CHEN</LastName>
        <affiliation locale="en_US">Dept. of Gynecology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2017</Year>
        <Month>01</Month>
        <Day>25</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2017</Year>
        <Month>01</Month>
        <Day>25</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background: We aimed to elucidate the association between fat mass and obesity associated gene (FTO) polymorphism and the risk of polycystic ovary syndrome (PCOS) by meta-analysis.

Methods: We searched PubMed and Embase databases to find the relevant studies. Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were used for pooled analysis. Statistical analyses were carried out by using R 3.12 software. Heterogeneity was assessed using I2 and Q statistics. I2&gt;50% or P&lt;0.05 was considered as heterogeneity statistically, and random effects model was used for pooled analysis. Otherwise, fixed-effect model was used.

Results: Twelve eligible studies that published from 2008 to 2015 were included in this meta-analysis. The pooled analyses showed that rs9939609 polymorphism of FTO gene was significantly associated with risk of PCOS under A vs. T, AT vs. TT, AA vs. TT, AA vs. AT+TT and AA+AT vs. TT genetic models. However, for rs8050136 and rs1421085, significant association was only found under recessive genetic model.

Conclusion: rs9939609 variation of FTO gene is significantly associated with risk of PCOS. However, the association between rs8050136, rs1421085, and PCOS is still unclear and needs further confirmation.

&#xA0;</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/8912</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/8912/5505</pdf_url>
  </Article>
</Articles>
