Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.790349
Title: Using next-generation sequencing to understand the aetiology of dystonia and other neurological diseases
Author: Charlesworth, G.
ISNI:       0000 0004 8497 6755
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2016
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Abstract:
This thesis presents my work using both next-generation and traditional genetic techniques aimed at further clarifying the aetiology of hereditary neurological disorders, with a particular focus on dystonia. A large part of this was focused on the identification, clinical phenotyping, and genetic analysis of kindreds with neurological disease inherited in a Mendelian fashion but for which no causal mutation had yet been identified. My work led directly to the discovery of two new dystonia genes, ANO3 and HPCA, and the identification of two novel phenotypes for the known disease-associated genes, ATM and NUBPL. Mutations in a third novel gene, SLC25A46, was identified as the most likely cause of disease in a kindred with a complex neurological disorder consisting of optic atrophy, severe action myoclonus and peripheral neuropathy, but could not be confirmed due to lack of a second segregating kindred - it was published, a year and a half after we had first identified it, by another group, just as I was in the process of submitting thesis. Taken together, these results confirm that whole exome sequencing in combination with linkage analysis or homozygosity mapping represents a powerful means of dissecting out the genetic aetiology of Mendelian disease. In addition, this thesis summarises my foray in the world of association analyses, a technique which underpins the recent explosion in knowledge regarding the genetic architecture of so-called 'complex' disease. I use this technique to show that the association signal over MAPT in Parkinson's disease survives when affectation status is defined neuropathologically. Finally, I present my work using traditional Sanger sequencing to better understand the prevalence of already published Mendelian disease genes for both dystonia and Parkinson's disease.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.790349  DOI: Not available
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