Science China Life Sciences

, Volume 55, Issue 6, pp 516–520 | Cite as

Bivariate genome-wide association study suggests that the DARC gene influences lean body mass and age at menarche

  • Rong Hai
  • Lei Zhang
  • YuFang Pei
  • LanJuan Zhao
  • Shu Ran
  • YingYing Han
  • XueZhen Zhu
  • Hui Shen
  • Qing Tian
  • HongWen Deng
Open Access
Research Paper


Lean body mass (LBM) and age at menarche (AAM) are two important complex traits for human health. The aim of this study was to identify pleiotropic genes for both traits using a powerful bivariate genome-wide association study (GWAS). Two studies, a discovery study and a replication study, were performed. In the discovery study, 909622 single nucleotide polymorphisms (SNPs) were genotyped in 801 unrelated female Han Chinese subjects using the Affymetrix human genome-wide SNP array 6.0 platform. Then, a bivariate GWAS was performed to identify the SNPs that may be important for LBM and AAM. In the replication study, significant findings from the discovery study were validated in 1692 unrelated Caucasian female subjects. One SNP rs3027009 that was bivariately associated with left arm lean mass and AAM in the discovery samples (P=7.26×10−6) and in the replication samples (P=0.005) was identified. The SNP is located at the upstream of DARC (Duffy antigen receptor for chemokines) gene, suggesting that DARC may play an important role in regulating the metabolisms of both LBM and AAM.


bivariate genome-wide association study age at menarche lean body mass DARC gene 


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Copyright information

© The Author(s) 2012

Authors and Affiliations

  • Rong Hai
    • 1
    • 2
  • Lei Zhang
    • 1
    • 3
  • YuFang Pei
    • 1
    • 3
  • LanJuan Zhao
    • 3
  • Shu Ran
    • 1
  • YingYing Han
    • 1
  • XueZhen Zhu
    • 1
  • Hui Shen
    • 3
  • Qing Tian
    • 3
  • HongWen Deng
    • 1
    • 3
  1. 1.Center of System Biomedical SciencesUniversity of Shanghai for Science and TechnologyShanghaiChina
  2. 2.The Affiliated Hospital of Inner Mongolia Medical CollegeHuhhotChina
  3. 3.Department of BiostatisticsTulane UniversityNew OrleansUSA

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