A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome. / Drost, Mark; Tiersma, Yvonne; Thompson, Bryony A.; Frederiksen, Jane H.; Keijzers, Guido; Glubb, Dylan; Kathe, Scott; Osinga, Jan; Westers, Helga; Pappas, Lisa; Boucher, Kenneth M.; Molenkamp, Siska; Zonneveld, José B.; van Asperen, Christi J.; Goldgar, David E.; Wallace, Susan S.; Sijmons, Rolf H.; Spurdle, Amanda B.; Rasmussen, Lene J.; Greenblatt, Marc S.; de Wind, Niels; Tavtigian, Sean V.

In: Genetics in Medicine, Vol. 21, 2019, p. 1486–1496.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Drost, M, Tiersma, Y, Thompson, BA, Frederiksen, JH, Keijzers, G, Glubb, D, Kathe, S, Osinga, J, Westers, H, Pappas, L, Boucher, KM, Molenkamp, S, Zonneveld, JB, van Asperen, CJ, Goldgar, DE, Wallace, SS, Sijmons, RH, Spurdle, AB, Rasmussen, LJ, Greenblatt, MS, de Wind, N & Tavtigian, SV 2019, 'A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome', Genetics in Medicine, vol. 21, pp. 1486–1496. https://doi.org/10.1038/s41436-018-0372-2

APA

Drost, M., Tiersma, Y., Thompson, B. A., Frederiksen, J. H., Keijzers, G., Glubb, D., Kathe, S., Osinga, J., Westers, H., Pappas, L., Boucher, K. M., Molenkamp, S., Zonneveld, J. B., van Asperen, C. J., Goldgar, D. E., Wallace, S. S., Sijmons, R. H., Spurdle, A. B., Rasmussen, L. J., ... Tavtigian, S. V. (2019). A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome. Genetics in Medicine, 21, 1486–1496. https://doi.org/10.1038/s41436-018-0372-2

Vancouver

Drost M, Tiersma Y, Thompson BA, Frederiksen JH, Keijzers G, Glubb D et al. A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome. Genetics in Medicine. 2019;21:1486–1496. https://doi.org/10.1038/s41436-018-0372-2

Author

Drost, Mark ; Tiersma, Yvonne ; Thompson, Bryony A. ; Frederiksen, Jane H. ; Keijzers, Guido ; Glubb, Dylan ; Kathe, Scott ; Osinga, Jan ; Westers, Helga ; Pappas, Lisa ; Boucher, Kenneth M. ; Molenkamp, Siska ; Zonneveld, José B. ; van Asperen, Christi J. ; Goldgar, David E. ; Wallace, Susan S. ; Sijmons, Rolf H. ; Spurdle, Amanda B. ; Rasmussen, Lene J. ; Greenblatt, Marc S. ; de Wind, Niels ; Tavtigian, Sean V. / A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome. In: Genetics in Medicine. 2019 ; Vol. 21. pp. 1486–1496.

Bibtex

@article{06d3c27f8382400092076308f8a8e840,
title = "A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome",
abstract = "Purpose: To enhance classification of variants of uncertain significance (VUS) in the DNA mismatch repair (MMR) genes in the cancer predisposition Lynch syndrome, we developed the cell-free in vitro MMR activity (CIMRA) assay. Here, we calibrate and validate the assay, enabling its integration with in silico and clinical data. Methods: Two sets of previously classified MLH1 and MSH2 variants were selected from a curated MMR gene database, and their biochemical activity determined by the CIMRA assay. The assay was calibrated by regression analysis followed by symmetric cross-validation and Bayesian integration with in silico predictions of pathogenicity. CIMRA assay reproducibility was assessed in four laboratories. Results: Concordance between the training runs met our prespecified validation criterion. The CIMRA assay alone correctly classified 65% of variants, with only 3% discordant classification. Bayesian integration with in silico predictions of pathogenicity increased the proportion of correctly classified variants to 87%, without changing the discordance rate. Interlaboratory results were highly reproducible. Conclusion: The CIMRA assay accurately predicts pathogenic and benign MMR gene variants. Quantitative combination of assay results with in silico analysis correctly classified the majority of variants. Using this calibration, CIMRA assay results can be integrated into the diagnostic algorithm for MMR gene variants.",
keywords = "assay calibration, functional assay, Lynch syndrome, variant classification, variants of uncertain significance",
author = "Mark Drost and Yvonne Tiersma and Thompson, {Bryony A.} and Frederiksen, {Jane H.} and Guido Keijzers and Dylan Glubb and Scott Kathe and Jan Osinga and Helga Westers and Lisa Pappas and Boucher, {Kenneth M.} and Siska Molenkamp and Zonneveld, {Jos{\'e} B.} and {van Asperen}, {Christi J.} and Goldgar, {David E.} and Wallace, {Susan S.} and Sijmons, {Rolf H.} and Spurdle, {Amanda B.} and Rasmussen, {Lene J.} and Greenblatt, {Marc S.} and {de Wind}, Niels and Tavtigian, {Sean V.}",
year = "2019",
doi = "10.1038/s41436-018-0372-2",
language = "English",
volume = "21",
pages = "1486–1496",
journal = "Genetics in Medicine",
issn = "1098-3600",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome

AU - Drost, Mark

AU - Tiersma, Yvonne

AU - Thompson, Bryony A.

AU - Frederiksen, Jane H.

AU - Keijzers, Guido

AU - Glubb, Dylan

AU - Kathe, Scott

AU - Osinga, Jan

AU - Westers, Helga

AU - Pappas, Lisa

AU - Boucher, Kenneth M.

AU - Molenkamp, Siska

AU - Zonneveld, José B.

AU - van Asperen, Christi J.

AU - Goldgar, David E.

AU - Wallace, Susan S.

AU - Sijmons, Rolf H.

AU - Spurdle, Amanda B.

AU - Rasmussen, Lene J.

AU - Greenblatt, Marc S.

AU - de Wind, Niels

AU - Tavtigian, Sean V.

PY - 2019

Y1 - 2019

N2 - Purpose: To enhance classification of variants of uncertain significance (VUS) in the DNA mismatch repair (MMR) genes in the cancer predisposition Lynch syndrome, we developed the cell-free in vitro MMR activity (CIMRA) assay. Here, we calibrate and validate the assay, enabling its integration with in silico and clinical data. Methods: Two sets of previously classified MLH1 and MSH2 variants were selected from a curated MMR gene database, and their biochemical activity determined by the CIMRA assay. The assay was calibrated by regression analysis followed by symmetric cross-validation and Bayesian integration with in silico predictions of pathogenicity. CIMRA assay reproducibility was assessed in four laboratories. Results: Concordance between the training runs met our prespecified validation criterion. The CIMRA assay alone correctly classified 65% of variants, with only 3% discordant classification. Bayesian integration with in silico predictions of pathogenicity increased the proportion of correctly classified variants to 87%, without changing the discordance rate. Interlaboratory results were highly reproducible. Conclusion: The CIMRA assay accurately predicts pathogenic and benign MMR gene variants. Quantitative combination of assay results with in silico analysis correctly classified the majority of variants. Using this calibration, CIMRA assay results can be integrated into the diagnostic algorithm for MMR gene variants.

AB - Purpose: To enhance classification of variants of uncertain significance (VUS) in the DNA mismatch repair (MMR) genes in the cancer predisposition Lynch syndrome, we developed the cell-free in vitro MMR activity (CIMRA) assay. Here, we calibrate and validate the assay, enabling its integration with in silico and clinical data. Methods: Two sets of previously classified MLH1 and MSH2 variants were selected from a curated MMR gene database, and their biochemical activity determined by the CIMRA assay. The assay was calibrated by regression analysis followed by symmetric cross-validation and Bayesian integration with in silico predictions of pathogenicity. CIMRA assay reproducibility was assessed in four laboratories. Results: Concordance between the training runs met our prespecified validation criterion. The CIMRA assay alone correctly classified 65% of variants, with only 3% discordant classification. Bayesian integration with in silico predictions of pathogenicity increased the proportion of correctly classified variants to 87%, without changing the discordance rate. Interlaboratory results were highly reproducible. Conclusion: The CIMRA assay accurately predicts pathogenic and benign MMR gene variants. Quantitative combination of assay results with in silico analysis correctly classified the majority of variants. Using this calibration, CIMRA assay results can be integrated into the diagnostic algorithm for MMR gene variants.

KW - assay calibration

KW - functional assay

KW - Lynch syndrome

KW - variant classification

KW - variants of uncertain significance

U2 - 10.1038/s41436-018-0372-2

DO - 10.1038/s41436-018-0372-2

M3 - Journal article

C2 - 30504929

AN - SCOPUS:85058010232

VL - 21

SP - 1486

EP - 1496

JO - Genetics in Medicine

JF - Genetics in Medicine

SN - 1098-3600

ER -

ID: 212124417