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Publication - Dr Tom Gaunt

    Predicting the Pathogenic Impact of Sequence Variation in the Human Genome

    Citation

    Rogers, MF, Shihab, HA, Ferlaino, M, Gaunt, TR & Campbell, CK, 2017, ‘Predicting the Pathogenic Impact of Sequence Variation in the Human Genome’. in: Rebecca Randell, Ronald Cornet, Colin McCowan, Niels Peek, Philip J Scott (eds) Informatics for Health: Connected Citizen-Led Wellness and Population Health. IOS Press, pp. 91-95

    Abstract

    Sequencing data will become widely available in clinical practice within the near future. Uptake of sequence data is currently being stimulated within the UK through the government-funded 100,000 genomes project (Genomics England), with many similar initiatives being planned and supported internationally. The analysis of the large volumes of data derived from sequencing programmes poses a major challenge for data analysis. In this paper we outline progress we have made in the development of predictors for estimating the pathogenic impact of single nucleotide variants, indels and haploinsufficiency in the human genome. The accuracy of these methods is enhanced through the development of disease-specific predictors, trained on appropriate data, and used within a specific disease context. We outline current research on the development of disease-specific predictors, specifically in the context of cancer research.

    Full details in the University publications repository