z-logo
open-access-imgOpen Access
Prioritizing genes for systematic variant effect mapping
Author(s) -
Da Kuang,
Rebecca Truty,
Jochen Weile,
Britt Johnson,
Keith Nykamp,
Carlos L. Araya,
Robert L. Nussbaum,
Frederick P. Roth
Publication year - 2020
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa1008
Subject(s) - missense mutation , prioritization , gene , computational biology , pathogenicity , protein function , source code , biology , genetics , mutation , computer science , management science , microbiology and biotechnology , economics , operating system
When rare missense variants are clinically interpreted as to their pathogenicity, most are classified as variants of uncertain significance (VUS). Although functional assays can provide strong evidence for variant classification, such results are generally unavailable. Multiplexed assays of variant effect can generate experimental 'variant effect maps' that score nearly all possible missense variants in selected protein targets for their impact on protein function. However, these efforts have not always prioritized proteins for which variant effect maps would have the greatest impact on clinical variant interpretation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom