Tumor Biology

, Volume 36, Issue 4, pp 2703–2707 | Cite as

Genome-wide haplotype association study identifies BLM as a risk gene for prostate cancer in Chinese population

  • Qun Wang
  • Hongchao Lv
  • Wenhua Lv
  • Miao Shi
  • Mingming Zhang
  • Meiwei Luan
  • Hongjie Zhu
  • Ruijie Zhang
  • Yongshuai Jiang
Research Article

Abstract

Prostate cancer (PC) is a common malignant tumor that occurs in the prostate epithelial cells. It is generally considered to be caused by both genetic and environmental factors. To identify the genetic risk factors of PC in Chinese population, we carried out a genome-wide haplotype-based association study. The 33 Chinese PC cases were from the public GEO database (GSE18333), and the 139 Chinese controls (CHB) were from the HapMap project. Our analysis included three stages: (1) identifying the linkage disequilibrium (LD) blocks and performing genome-wide haplotype association scan, (2) mapping PC-risk haplotypes to PC candidate genes, and (3) prioritizing PC candidate genes based on their similarity to known PC susceptibility genes. The results showed that (1) 749 haplotypes were significantly associated with PC (P < 1E−5). (2) Then, we mapped these significant haplotypes to genes and got 454 PC candidate genes. (3) After prioritizing the candidate genes based on their similarity to known PC susceptibility genes, we found that seven novel PC susceptibility genes including BLM, RPS6KA2, FRK, ERBB4, RBL1, PAK7, and ERBB2IP. Among the seven genes, BLM gene ranked first (P = 1.89E−04). A haplotype GGTTACCCCTC (rs2270131, rs2073919, rs11073953, rs12592875, rs16944863, rs2238337, rs414634, rs401549, rs17183344, rs16944884, and rs16944888) on chromosome 15q26.1 had significant association with PC (P = 2.37E−11). To our knowledge, this is the first genetic association study to show the significant association between BLM gene and PC susceptibility in Chinese population.

Keywords

Genome-wide association study Prostate cancer Haplotype 

Notes

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 31200934) and the Natural Science Foundation of Heilongjiang Province, China (Grant Nos. C201206 and QC2013C063).

Conflicts of interest

None

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Copyright information

© International Society of Oncology and BioMarkers (ISOBM) 2014

Authors and Affiliations

  • Qun Wang
    • 1
  • Hongchao Lv
    • 1
  • Wenhua Lv
    • 1
  • Miao Shi
    • 1
  • Mingming Zhang
    • 1
  • Meiwei Luan
    • 1
  • Hongjie Zhu
    • 1
  • Ruijie Zhang
    • 1
  • Yongshuai Jiang
    • 1
  1. 1.College of Bioinformatics Science and TechnologyHarbin Medical UniversityHarbinChina

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