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MTR-Viewer: Identifying regions within genes under purifying selection

Published version
Peer-reviewed

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Authors

Silk, M 
Petrovski, S 

Abstract

Advances in genomic sequencing have enormous potential to revolutionise personalised medicine, however distinguishing disease-causing from benign variants remains a challenge. The increasing number of human genome and exome sequences available has revealed areas where unfavourable variation is removed through purifying selection. Here we present the MTR-Viewer, a web-server enabling easy visualisation at the gene or variant level of the Missense Tolerance Ratio (MTR), a measure of regional intolerance to missense variation calculated using variation from 220,000 exome and genome sequences. The MTR-Viewer enables exploration of MTR calculations, using different sliding windows, for over 18,000 human protein-coding genes and 85,000 alternative transcripts. Users can also view MTR scores calculated for specific ethnicities, to enable easy exploration of regions that may be under different selective pressure. The spatial distribution of population and known disease variants is also displayed on the protein’s domain structure. Intolerant regions were found to be highly enriched for ClinVar pathogenic and COSMIC somatic missense variants (Mann-Whitney U test p < 2.2x10-16). As the MTR is not biased by known domains and protein features, it can highlight functionally important regions within genes overlooked or inaccessible by traditional methods. MTR-Viewer is freely available via a user friendly web-server at http://biosig.unimelb.edu.au/mtr-viewer/.

Description

Keywords

Algorithms, Computational Biology, Exome, Genetic Variation, Genome, Human, Genomics, Humans, Precision Medicine, Proteins, Selection, Genetic, Software

Journal Title

Nucleic Acids Research

Conference Name

Journal ISSN

0305-1048
1362-4962

Volume Title

47

Publisher

Oxford University Press
Sponsorship
Medical Research Council (MR/M026302/1)
M.S. was supported by the Australian Government Research Training Program. S.P. was supported by an NHMRC R.D. Wright Career Development Fellowship (1126877). S.P. is an employee of AstraZeneca. D.B.A. was supported by the Jack Brockhoff Foundation [JBF 4186, 2016], a Newton Fund RCUK-CONFAP Grant awarded by The Medical Research Council (MRC) [MR/M026302/1]; the National Health and Medical Research Council of Australia [APP1072476]; and the Department of Biochemistry and Molecular Biology, University of Melbourne.