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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rayner, Emily, Tiersma, Yvonne, Fortuno, Cristina, van Hees‐Stuivenberg, Sandrine, Drost, Mark, Thompson, Bryony, Spurdle, Amanda B., de Wind, Niels
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