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Using “-omics” Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field

  • Genetics (D Karasik and C Ackert-Bicknell, Section Editors)
  • Published:
Current Osteoporosis Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Osteoporosis constitutes a major societal health problem. Genome-wide association studies (GWASs) have identified over 1100 loci influencing bone mineral density (BMD); however, few of the causal genes have been identified. Here, we review approaches that use “-omics” data and genetic- and systems genetics–based analytical strategies to facilitate causal gene discovery.

Recent Findings

The bone field is beginning to adopt approaches that are commonplace in other disease disciplines. The slower progress has been due in part to the lack of large-scale “omics” data on bone and bone cells. This is however changing, and approaches such as eQTL colocalization, transcriptome-wide association studies (TWASs), network, and integrative approaches are beginning to provide significant insight into the genes responsible for BMD GWAS associations.

Summary

The use of “-omics” data to inform BMD GWASs has increased in recent years, leading to the identification of novel regulators of BMD in humans. The ultimate goal will be to use this information to develop more effective therapies to treat and ultimately prevent osteoporosis.

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  1. Center for Public Health Genomics, University of Virginia, 800717, Charlottesville, VA, 22908, USA

    Abdullah Abood & Charles R. Farber

  2. Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, 22908, USA

    Abdullah Abood & Charles R. Farber

  3. Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22908, USA

    Charles R. Farber

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Abood, A., Farber, C.R. Using “-omics” Data to Inform Genome-wide Association Studies (GWASs) in the Osteoporosis Field. Curr Osteoporos Rep 19, 369–380 (2021). https://doi.org/10.1007/s11914-021-00684-w

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