Cargando…
Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome
The large majority of germline alterations identified in the DNA mismatch repair (MMR) gene PMS2, a low‐penetrance gene for the cancer predisposition Lynch syndrome, represent variants of uncertain significance (VUS). The inability to classify most VUS interferes with personalized healthcare. The co...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545740/ https://www.ncbi.nlm.nih.gov/pubmed/35451539 http://dx.doi.org/10.1002/humu.24387 |
_version_ | 1784804886998679552 |
---|---|
author | Rayner, Emily Tiersma, Yvonne Fortuno, Cristina van Hees‐Stuivenberg, Sandrine Drost, Mark Thompson, Bryony Spurdle, Amanda B. de Wind, Niels |
author_facet | Rayner, Emily Tiersma, Yvonne Fortuno, Cristina van Hees‐Stuivenberg, Sandrine Drost, Mark Thompson, Bryony Spurdle, Amanda B. de Wind, Niels |
author_sort | Rayner, Emily |
collection | PubMed |
description | The large majority of germline alterations identified in the DNA mismatch repair (MMR) gene PMS2, a low‐penetrance gene for the cancer predisposition Lynch syndrome, represent variants of uncertain significance (VUS). The inability to classify most VUS interferes with personalized healthcare. The complete in vitro MMR activity (CIMRA) assay, that only requires sequence information on the VUS, provides a functional analysis‐based quantitative tool to improve the classification of VUS in MMR proteins. To derive a formula that translates CIMRA assay results into the odds of pathogenicity (OddsPath) for VUS in PMS2 we used a set of clinically classified PMS2 variants supplemented by inactivating variants that were generated by an in cellulo genetic screen, as proxies for cancer‐predisposing variants. Validation of this OddsPath revealed high predictive values for benign and predisposing PMS2 VUS. We conclude that the OddsPath provides an integral metric that, following the other, higher penetrance, MMR proteins MSH2, MSH6 and MLH1 can be incorporated as strong evidence type into the upcoming criteria for MMR gene VUS classification of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP). |
format | Online Article Text |
id | pubmed-9545740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95457402022-10-14 Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome Rayner, Emily Tiersma, Yvonne Fortuno, Cristina van Hees‐Stuivenberg, Sandrine Drost, Mark Thompson, Bryony Spurdle, Amanda B. de Wind, Niels Hum Mutat Research Articles The large majority of germline alterations identified in the DNA mismatch repair (MMR) gene PMS2, a low‐penetrance gene for the cancer predisposition Lynch syndrome, represent variants of uncertain significance (VUS). The inability to classify most VUS interferes with personalized healthcare. The complete in vitro MMR activity (CIMRA) assay, that only requires sequence information on the VUS, provides a functional analysis‐based quantitative tool to improve the classification of VUS in MMR proteins. To derive a formula that translates CIMRA assay results into the odds of pathogenicity (OddsPath) for VUS in PMS2 we used a set of clinically classified PMS2 variants supplemented by inactivating variants that were generated by an in cellulo genetic screen, as proxies for cancer‐predisposing variants. Validation of this OddsPath revealed high predictive values for benign and predisposing PMS2 VUS. We conclude that the OddsPath provides an integral metric that, following the other, higher penetrance, MMR proteins MSH2, MSH6 and MLH1 can be incorporated as strong evidence type into the upcoming criteria for MMR gene VUS classification of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP). John Wiley and Sons Inc. 2022-04-28 2022-09 /pmc/articles/PMC9545740/ /pubmed/35451539 http://dx.doi.org/10.1002/humu.24387 Text en © 2022 The Authors. Human Mutation published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Rayner, Emily Tiersma, Yvonne Fortuno, Cristina van Hees‐Stuivenberg, Sandrine Drost, Mark Thompson, Bryony Spurdle, Amanda B. de Wind, Niels Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title | Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title_full | Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title_fullStr | Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title_full_unstemmed | Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title_short | Predictive functional assay‐based classification of PMS2 variants in Lynch syndrome |
title_sort | predictive functional assay‐based classification of pms2 variants in lynch syndrome |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545740/ https://www.ncbi.nlm.nih.gov/pubmed/35451539 http://dx.doi.org/10.1002/humu.24387 |
work_keys_str_mv | AT rayneremily predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT tiersmayvonne predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT fortunocristina predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT vanheesstuivenbergsandrine predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT drostmark predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT thompsonbryony predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT spurdleamandab predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome AT dewindniels predictivefunctionalassaybasedclassificationofpms2variantsinlynchsyndrome |