4.6 Review

A road map for understanding molecular and genetic determinants of osteoporosis

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NATURE REVIEWS ENDOCRINOLOGY
卷 16, 期 2, 页码 91-103

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41574-019-0282-7

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资金

  1. NIAMS NIH HHS [R01 AR069055] Funding Source: Medline
  2. NIA NIH HHS [R01 AG061917, U19 AG055373] Funding Source: Medline
  3. NIBIB NIH HHS [R01 EB006841, R01 EB020407] Funding Source: Medline
  4. NIGMS NIH HHS [P20 GM109036] Funding Source: Medline
  5. NIMH NIH HHS [R01 MH104680] Funding Source: Medline

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Osteoporosis is a highly prevalent disorder characterized by low bone mineral density and an increased risk of fracture, termed osteoporotic fracture. Notably, bone mineral density, osteoporosis and osteoporotic fracture are highly heritable; however, determining the genetic architecture, and especially the underlying genomic and molecular mechanisms, of osteoporosis in vivo in humans is still challenging. In addition to susceptibility loci identified in genome-wide association studies, advances in various omics technologies, including genomics, transcriptomics, epigenomics, proteomics and metabolomics, have all been applied to dissect the pathogenesis of osteoporosis. However, each technology individually cannot capture the entire view of the disease pathology and thus fails to comprehensively identify the underlying pathological molecular mechanisms, especially the regulatory and signalling mechanisms. A change to the status quo calls for integrative multi-omics and inter-omics analyses with approaches in 'systems genetics and genomics'. In this Review, we highlight findings from genome-wide association studies and studies using various omics technologies individually to identify mechanisms of osteoporosis. Furthermore, we summarize current studies of data integration to understand, diagnose and inform the treatment of osteoporosis. The integration of multiple technologies will provide a road map to illuminate the complex pathogenesis of osteoporosis, especially from molecular functional aspects, in vivo in humans. In this Review, the authors highlight findings from genome-wide association studies and studies using various omics technologies individually to identify mechanisms of osteoporosis, which is a highly heritable condition. They also summarize current studies of data integration to understand, diagnose and inform the treatment of osteoporosis.

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