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Clinical likelihood ratios and balanced accuracy for 44 in silico tools against multiple large-scale functional assays of cancer susceptibility genes.

Title: Clinical likelihood ratios and balanced accuracy for 44 in silico tools against multiple large-scale functional assays of cancer susceptibility genes.
Authors: Cubuk, C; Garrett, A; Choi, S; King, L; Loveday, C; Torr, B; Burghel, GJ; Durkie, M; Callaway, A; Robinson, R; Drummond, J; Berry, I; Wallace, A; Eccles, D; Tischkowitz, M; Whiffin, N; Ware, JS; Hanson, H; Turnbull, C; CanVIG-Uk
Contributors: Garrett, Alice; Choi, Subin; Pemberton - Whiteley, Bethany; Turnbull, Clare
Publisher Information: ELSEVIER SCIENCE INC
Publication Year: 2021
Collection: The Institute of Cancer Research (ICR): Publications Repository
Description: PURPOSE: Where multiple in silico tools are concordant, the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) framework affords supporting evidence toward pathogenicity or benignity, equivalent to a likelihood ratio of ~2. However, limited availability of "clinical truth sets" and prior use in tool training limits their utility for evaluation of tool performance. METHODS: We created a truth set of 9,436 missense variants classified as deleterious or tolerated in clinically validated high-throughput functional assays for BRCA1, BRCA2, MSH2, PTEN, and TP53 to evaluate predictive performance for 44 recommended/commonly used in silico tools. RESULTS: Over two-thirds of the tool-threshold combinations examined had specificity of
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1530-0366; 1098-3600
Relation: Genetics in Medicine; https://repository.icr.ac.uk/handle/internal/4673
Availability: https://repository.icr.ac.uk/handle/internal/4681; https://repository.icr.ac.uk/handle/internal/4673
Rights: https://creativecommons.org/licenses/by/4.0
Accession Number: edsbas.15BF0B1A
Database: BASE