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Towards an Understanding of the Genetics of Tendinopathy

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Metabolic Influences on Risk for Tendon Disorders

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 920))

Abstract

To date, more than 18 genomic intervals, which underpin the complex myriad of extracellular matrix interactions of tendons, have been implicated in risk models for tendinopathy. It is these relationships that most likely regulate the tissue’s response to loading and unloading, thereby dictating the overall capacity of tendons and influencing injury susceptibility. The evidence suggesting a genetic contribution to the susceptibility of sustaining a tendon injury is growing. However, only a few of the loci have been repeated in independent studies, of which some have included a range of musculoskeletal soft tissues injuries. Case-control study designs can be effective in capturing risk, provided that the cases and controls are equally well-defined and carefully considered. The genome consists of 3.6 × 109 sequences and therefore we realise that we are far from decoding all the genomic signatures. We are indeed fortunate to be living in such exciting times where high-throughput technologies are at our disposal. Through collaboration, our chances of harnessing these “omics” technologies to further our clinical understanding of tendinopathy will increase.

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Authors and Affiliations

  1. Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, 115, Newlands, 7725, South Africa

    Alison September, Masouda Rahim & Malcolm Collins

Authors
  1. Alison September
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  2. Masouda Rahim
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  3. Malcolm Collins
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Corresponding author

Correspondence to Alison September .

Editor information

Editors and Affiliations

  1. Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden

    Paul W. Ackermann

  2. McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Alberta, Canada

    David A. Hart

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© 2016 Springer International Publishing Switzerland

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September, A., Rahim, M., Collins, M. (2016). Towards an Understanding of the Genetics of Tendinopathy. In: Ackermann, P., Hart, D. (eds) Metabolic Influences on Risk for Tendon Disorders. Advances in Experimental Medicine and Biology, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-33943-6_9

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