Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries

dc.contributor.advisorSeptember, Alison V
dc.contributor.advisorCollins, Malcolm
dc.contributor.authorGibbon, Andrea
dc.date.accessioned2025-05-22T07:38:37Z
dc.date.available2025-05-22T07:38:37Z
dc.date.issued2018
dc.date.updated2025-05-19T10:59:15Z
dc.description.abstractSeveral DNA sequence variants have previously been associated with the risk of musculoskeletal soft tissue injuries, suggesting a role for genetics in the aetiology of common sporting injuries such as chronic Achilles tendinopathy (AT) and anterior cruciate ligament (ACL) ruptures. Genetic risk modifiers have primarily been identified using a hypothesis driven candidate gene approach. However, the ability to identify all risk-conferring variants using this approach alone is limited. Therefore, the primary aim of this thesis was to further define the molecular signatures of musculoskeletal soft tissue injuries mapping to specific genomic intervals encoding several structural and regulatory components of the extracellular matrix (ECM). Genes encoding the tenascin-C (TNC) glycoprotein (9q33.1) and the α1 chain of type XXVII collagen (COL27A1, 9q32), as well as matrix metallopeptidase 3 (MMP3, 11q22) and the α1 chain of type I collagen (COL1A1, 17q21.33), have previously been associated with the risk of injury and were therefore prioritised for further interrogation. Previously associated variants within these regions and/or new candidate variants identified by whole exome sequencing (WES) and prioritised through the application of a customised, tiered filtering strategy, were genotyped in several previously recruited, self-identified White Achilles tendon injury and ACL rupture cohorts. The second aim of this study was to determine whether the observed risk-associated signatures in the self-identified White cohorts were similar to those underpinning injury in an ancestrally admixed sample, using ACL ruptures in a South African Coloured cohort as the phenotypic model.
dc.identifier.apacitationGibbon, A. (2018). <i>Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries</i>. (). Universiy of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. Retrieved from http://hdl.handle.net/11427/41441en_ZA
dc.identifier.chicagocitationGibbon, Andrea. <i>"Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries."</i> ., Universiy of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2018. http://hdl.handle.net/11427/41441en_ZA
dc.identifier.citationGibbon, A. 2018. Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries. . Universiy of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. http://hdl.handle.net/11427/41441en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Gibbon, Andrea AB - Several DNA sequence variants have previously been associated with the risk of musculoskeletal soft tissue injuries, suggesting a role for genetics in the aetiology of common sporting injuries such as chronic Achilles tendinopathy (AT) and anterior cruciate ligament (ACL) ruptures. Genetic risk modifiers have primarily been identified using a hypothesis driven candidate gene approach. However, the ability to identify all risk-conferring variants using this approach alone is limited. Therefore, the primary aim of this thesis was to further define the molecular signatures of musculoskeletal soft tissue injuries mapping to specific genomic intervals encoding several structural and regulatory components of the extracellular matrix (ECM). Genes encoding the tenascin-C (TNC) glycoprotein (9q33.1) and the α1 chain of type XXVII collagen (COL27A1, 9q32), as well as matrix metallopeptidase 3 (MMP3, 11q22) and the α1 chain of type I collagen (COL1A1, 17q21.33), have previously been associated with the risk of injury and were therefore prioritised for further interrogation. Previously associated variants within these regions and/or new candidate variants identified by whole exome sequencing (WES) and prioritised through the application of a customised, tiered filtering strategy, were genotyped in several previously recruited, self-identified White Achilles tendon injury and ACL rupture cohorts. The second aim of this study was to determine whether the observed risk-associated signatures in the self-identified White cohorts were similar to those underpinning injury in an ancestrally admixed sample, using ACL ruptures in a South African Coloured cohort as the phenotypic model. DA - 2018 DB - OpenUCT DP - University of Cape Town KW - Genetics LK - https://open.uct.ac.za PB - Universiy of Cape Town PY - 2018 T1 - Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries TI - Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries UR - http://hdl.handle.net/11427/41441 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/41441
dc.identifier.vancouvercitationGibbon A. Whole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries. []. Universiy of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/41441en_ZA
dc.language.isoen
dc.language.rfc3066Eng
dc.publisher.departmentDepartment of Human Biology
dc.publisher.facultyFaculty of Health Sciences
dc.publisher.institutionUniversiy of Cape Town
dc.subjectGenetics
dc.titleWhole exome sequencing: a customised approach to exploring the genetic basis of musculoskeletal soft tissue injuries
dc.typeThesis / Dissertation
dc.type.qualificationlevelDoctoral
dc.type.qualificationlevelPHD
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