Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20970
Title: Analysis of Friedreich's ataxia patient clinical data reveals importance of accurate GAA repeat determination in disease prognosis and gender differences in cardiac measures
Authors: Ghorbani, M
Pousset, F
Tucker, A
Swift, S
Giunti, P
Parkinson, M
Gilbert, D
Liu, XH
Payne, A
Keywords: Friedrich's ataxia;Nucleotide repeat;Computerised classification;Neurology;Clinical prognosis;Intelligent data analysis
Issue Date: 19-Nov-2019
Publisher: Elsevier
Citation: Ghorbani, Mohammadmersad; Pousset, Fran├žoise; Tucker, Allan; Swift, Stephen; Giunti, Paola; Parkinson, Michael; Gilbert, David; Liu, XiaoHui; Payne, Annette; Analysis of Friedreich's ataxia patient clinical data reveals importance of accurate GAA repeat determination in disease prognosis and gender differences in cardiac measures, Informatics in Medicine Unlocked, 17, 2019, 100266
Abstract: Friedreich's ataxia (FRDA) is a rare autosomal recessive inherited neurodegenerative disease which is the result of a triplet repeat expansion in the intronic region of the frataxin FXN gene resulting in depleted frataxin protein expression. Disease onset is usually in childhood and causes progressive damage to the nervous system resulting in progressive disability. This work uses computer aided classification techniques to identify which measures of the disease progression, including accurate determination of the shortest allele repeat length, are the most informative when trying to predict likely disease progression and prognosis. Further we investigate the possibility of a gender difference in the progression of the disease. Our results highlight the importance of accurate determination GAA repeat length in any clinical predictions showing that the number of repeats is the best prognostic tool in FRDA and is strongly linked to the age at onset disease. Further that there are possible gender dependent differences in cardiac measurements recorded from patients of similar age of onset and GAA repeat length.
URI: http://bura.brunel.ac.uk/handle/2438/20970
DOI: http://dx.doi.org/10.1016/j.imu.2019.100266
ISSN: 2352-9148
Appears in Collections:Dept of Computer Science Research Papers

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