4.7 Article

Integrating GWAS and Co-expression Network Data Identifies Bone Mineral Density Genes SPTBN1 and MARK3 and an Osteoblast Functional Module

期刊

CELL SYSTEMS
卷 4, 期 1, 页码 46-+

出版社

CELL PRESS
DOI: 10.1016/j.cels.2016.10.014

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资金

  1. National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health [R01AR057759]
  2. NIH [U01HG004085]
  3. CSD Consortium [U01HG004080]
  4. Common Fund of the Office of the Director of the National Institutes of Health
  5. NCI
  6. NHGRI
  7. NHLBI
  8. NIDA
  9. NIMH
  10. NINDS
  11. NCI\SAIC-Frederick, Inc. (SAIC-F) [10XS170]
  12. Roswell Park Cancer Institute [10XS171]
  13. Science Care, Inc. [X10S172]
  14. Laboratory, Data Analysis, and Coordinating Center (LDACC) [HHSN268201000029C, 10ST1035]
  15. University of Miami [DA006227, DA033684, N01MH000028]
  16. [MH090941]
  17. [MH101814]

向作者/读者索取更多资源

Bone mineral density (BMD) is a highly heritable predictor of osteoporotic fracture. Genome-wide association studies (GWAS) for BMD have identified dozens of associations; yet, the genes responsible for most associations remain elusive. Here, we used a bone co-expression network to predict causal genes at BMD GWAS loci based on the premise that genes underlying a disease are often functionally related and functionally related genes are often co-expressed. By mapping genes implicated by BMD GWAS onto a bone co-expression network, we predicted and inferred the function of causal genes for 30 of 64 GWAS loci. We experimentally confirmed that two of the genes predicted to be causal, SPTBN1 and MARK3, are potentially responsible for the effects of GWAS loci on chromosomes 2p16.2 and 14q32.32, respectively. This approach provides a roadmap for the dissection of additional BMD GWAS associations. Furthermore, it should be applicable to GWAS data for a wide range of diseases.

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