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Comprehensive analysis of the functional impact of single nucleotide variants of human CHEK2.
- Source :
-
PLoS genetics [PLoS Genet] 2024 Aug 15; Vol. 20 (8), pp. e1011375. Date of Electronic Publication: 2024 Aug 15 (Print Publication: 2024). - Publication Year :
- 2024
-
Abstract
- Loss of function mutations in the checkpoint kinase gene CHEK2 are associated with increased risk of breast and other cancers. Most of the 3,188 unique amino acid changes that can result from non-synonymous single nucleotide variants (SNVs) of CHEK2, however, have not been tested for their impact on the function of the CHEK2-enocded protein (CHK2). One successful approach to testing the function of variants has been to test for their ability to complement mutations in the yeast ortholog of CHEK2, RAD53. This approach has been used to provide functional information on over 100 CHEK2 SNVs and the results align with functional assays in human cells and known pathogenicity. Here we tested all but two of the 4,887 possible SNVs in the CHEK2 open reading frame for their ability to complement RAD53 mutants using a high throughput technique of deep mutational scanning (DMS). Among the non-synonymous changes, 770 were damaging to protein function while 2,417 were tolerated. The results correlate well with previous structure and function data and provide a first or additional functional assay for all the variants of uncertain significance identified in clinical databases. Combined, this approach can be used to help predict the pathogenicity of CHEK2 variants of uncertain significance that are found in susceptibility screening and could be applied to other cancer risk genes.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2024 McCarthy-Leo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Details
- Language :
- English
- ISSN :
- 1553-7404
- Volume :
- 20
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- PLoS genetics
- Publication Type :
- Academic Journal
- Accession number :
- 39146382
- Full Text :
- https://doi.org/10.1371/journal.pgen.1011375