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Lookup NU author(s): Professor Paolo Missier,
Dr Michael Keogh
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The rapid evolution of Next Generation Sequencing technology will soon make it possible to test patients for genetic disorders at population scale. However, clinical interpretation of human variants extracted from raw NGS data in the clinical setting is likely to become a bottleneck, as long as it requires expert human judgement. While several attempts are under way to try and automate the diagnostic process, most still assume a specialist’s understanding of the variants’ significance. In this paper we present our early experiments with a simple process and prototype clinical tool for single-nucleotide variant filtering, called SVI, which automates much of the interpretation process by integrating disease-gene and disease-variant mapping resources. As the content and quality of these resources improve over time, it is important to identify past patients’ cases which may benefit from re-analysis. By persistently recording the entire diagnostic process, SVI can selectively trigger case re-analysis on the basis of updates in the external knowledge sources.
Author(s): Missier P, Wijaya E, Kirby R, Keogh M
Editor(s): Ashish, N; Ambite, JL;
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 11th International Conference on Data Integration in the Life Sciences
Year of Conference: 2015
Number of Volumes: 9162
Print publication date: 13/07/2015
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science