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M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity

Authors :
David Neil Cooper
Harendra Guturu
Aaron M. Wenger
Peter D. Stenson
Gill Bejerano
Karthik A. Jagadeesh
Mark J. Berger
Jonathan A. Bernstein
Source :
Nature Genetics. 48:1581-1586
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Variant pathogenicity classifiers such as SIFT, PolyPhen-2, CADD, and MetaLR assist in interpretation of the hundreds of rare, missense variants in the typical patient genome by deprioritizing some variants as likely benign. These widely used methods misclassify 26 to 38% of known pathogenic mutations, which could lead to missed diagnoses if the classifiers are trusted as definitive in a clinical setting. We developed M-CAP, a clinical pathogenicity classifier that outperforms existing methods at all thresholds and correctly dismisses 60% of rare, missense variants of uncertain significance in a typical genome at 95% sensitivity.

Details

ISSN :
15461718 and 10614036
Volume :
48
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....da5125ff0e6863299e891b4ce9959782
Full Text :
https://doi.org/10.1038/ng.3703