The University of Southampton
University of Southampton Institutional Repository

Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants

Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants
Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants

Purpose: Conditions and thresholds applied for evidence weighting of within-codon concordance (PM5) for pathogenicity vary widely between laboratories and expert groups. Because of the sparseness of available clinical classifications, there is little evidence for variation in practice. Methods: We used as a truthset 7541 dichotomous functional classifications of BRCA1 and MSH2, spanning 311 codons of BRCA1 and 918 codons of MSH2, generated from large-scale functional assays that have been shown to correlate excellently with clinical classifications. We assessed PM5 at 5 stringencies with incorporation of 8 in silico tools. For each analysis, we quantified a positive likelihood ratio (pLR, true positive rate/false positive rate), the predictive value of PM5-lookup in ClinVar compared with the functional truthset. Results: pLR was 16.3 (10.6-24.9) for variants for which there was exactly 1 additional colocated deleterious variant on ClinVar, and the variant under examination was equally or more damaging when analyzed using BLOSUM62. pLR was 71.5 (37.8-135.3) for variants for which there were 2 or more colocated deleterious ClinVar variants, and the variant under examination was equally or more damaging than at least 1 colocated variant when analyzed using BLOSUM62. Conclusion: These analyses support the graded use of PM5, with potential to use it at higher evidence weighting where more stringent criteria are met.

ACMG, Classification, Codon, PM5, Variant
1098-3600
552-563
Loong, Lucy
a8745718-75a4-49a5-beac-ff8de8c2e854
Cubuk, Cankut
9a916072-4100-4c45-ab8e-8a67cf6e2170
Choi, Subin
beaa809f-6f77-487b-954f-9e2f336ba557
Allen, Sophie
82cd9eb2-886d-4323-94d1-2cfd3f94792d
Torr, Beth
930d8ffc-e67f-401b-a44d-b15dd8c9010a
Garrett, Alice
d8fcdea3-8231-4d5e-8ada-4f932ca1a0c3
et al.,
ae4903c5-41d6-4d6f-a17f-317750752b09
Loveday, Chey
bed064d6-13e9-4429-b847-5ecaaf3f5e19
Durkie, Miranda
7caca497-e12f-4f13-99e0-f40e767f0163
Callaway, Alison
07ee9b43-9249-4a56-9582-4dc41d613101
Burghel, George J
0288eca6-9ca5-4806-bfeb-2f963643d326
Drummond, James
aceffa7d-29af-47e2-82da-9f7c2e6d5e6a
Robinson, Rachel
b81f9f32-b468-451d-959b-355aa680f7fb
Berry, Ian R
b720cb74-2247-4906-8c4e-9bde4742b772
Wallace, Andrew
94c565bc-4c46-47ef-b67b-fea558f4a97f
Eccles, Diana M
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Tischkowitz, Marc
3c5f5429-fb53-4c80-8a42-6cec37ab67bc
Ellard, Sian
6c9b0ede-8980-4602-b063-444b165baa09
Ware, James S
6e99bb22-caf5-489e-aa0a-27c1423a671e
Hanson, Helen
fe4a8065-8b0d-4b30-a658-cd433570c2ec
Turnbull, Clare
63408861-754b-4f55-a010-29d1bea914e2
CanVIG-UK
Loong, Lucy
a8745718-75a4-49a5-beac-ff8de8c2e854
Cubuk, Cankut
9a916072-4100-4c45-ab8e-8a67cf6e2170
Choi, Subin
beaa809f-6f77-487b-954f-9e2f336ba557
Allen, Sophie
82cd9eb2-886d-4323-94d1-2cfd3f94792d
Torr, Beth
930d8ffc-e67f-401b-a44d-b15dd8c9010a
Garrett, Alice
d8fcdea3-8231-4d5e-8ada-4f932ca1a0c3
et al.,
ae4903c5-41d6-4d6f-a17f-317750752b09
Loveday, Chey
bed064d6-13e9-4429-b847-5ecaaf3f5e19
Durkie, Miranda
7caca497-e12f-4f13-99e0-f40e767f0163
Callaway, Alison
07ee9b43-9249-4a56-9582-4dc41d613101
Burghel, George J
0288eca6-9ca5-4806-bfeb-2f963643d326
Drummond, James
aceffa7d-29af-47e2-82da-9f7c2e6d5e6a
Robinson, Rachel
b81f9f32-b468-451d-959b-355aa680f7fb
Berry, Ian R
b720cb74-2247-4906-8c4e-9bde4742b772
Wallace, Andrew
94c565bc-4c46-47ef-b67b-fea558f4a97f
Eccles, Diana M
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Tischkowitz, Marc
3c5f5429-fb53-4c80-8a42-6cec37ab67bc
Ellard, Sian
6c9b0ede-8980-4602-b063-444b165baa09
Ware, James S
6e99bb22-caf5-489e-aa0a-27c1423a671e
Hanson, Helen
fe4a8065-8b0d-4b30-a658-cd433570c2ec
Turnbull, Clare
63408861-754b-4f55-a010-29d1bea914e2

Loong, Lucy, Cubuk, Cankut, Choi, Subin, Allen, Sophie, Torr, Beth, Garrett, Alice and et al., , CanVIG-UK (2022) Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants. Genetics in Medicine, 24 (3), 552-563. (doi:10.1016/j.gim.2021.11.011).

Record type: Article

Abstract

Purpose: Conditions and thresholds applied for evidence weighting of within-codon concordance (PM5) for pathogenicity vary widely between laboratories and expert groups. Because of the sparseness of available clinical classifications, there is little evidence for variation in practice. Methods: We used as a truthset 7541 dichotomous functional classifications of BRCA1 and MSH2, spanning 311 codons of BRCA1 and 918 codons of MSH2, generated from large-scale functional assays that have been shown to correlate excellently with clinical classifications. We assessed PM5 at 5 stringencies with incorporation of 8 in silico tools. For each analysis, we quantified a positive likelihood ratio (pLR, true positive rate/false positive rate), the predictive value of PM5-lookup in ClinVar compared with the functional truthset. Results: pLR was 16.3 (10.6-24.9) for variants for which there was exactly 1 additional colocated deleterious variant on ClinVar, and the variant under examination was equally or more damaging when analyzed using BLOSUM62. pLR was 71.5 (37.8-135.3) for variants for which there were 2 or more colocated deleterious ClinVar variants, and the variant under examination was equally or more damaging than at least 1 colocated variant when analyzed using BLOSUM62. Conclusion: These analyses support the graded use of PM5, with potential to use it at higher evidence weighting where more stringent criteria are met.

Text
1-s2.0-S1098360021053892-main (1) - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 12 November 2021
e-pub ahead of print date: 30 November 2021
Published date: 3 March 2022
Additional Information: Funding Information: L.L., C.L., A.G., S.C., B.T., and H.H. are supported by Cancer Research UK Catalyst Award CanGene-CanVar (C61296/A27223). J.S.W. is funded by Wellcome Trust (107469/Z/15/Z), Medical Research Council (UK), British Heart Foundation (RE/18/4/34215), and the NIHR Imperial Biomedical Research Centre .
Keywords: ACMG, Classification, Codon, PM5, Variant

Identifiers

Local EPrints ID: 455802
URI: http://eprints.soton.ac.uk/id/eprint/455802
ISSN: 1098-3600
PURE UUID: 60be764c-ea42-4767-abbd-c99836f30a68
ORCID for Diana M Eccles: ORCID iD orcid.org/0000-0002-9935-3169

Catalogue record

Date deposited: 05 Apr 2022 16:41
Last modified: 17 Mar 2024 02:36

Export record

Altmetrics

Contributors

Author: Lucy Loong
Author: Cankut Cubuk
Author: Subin Choi
Author: Sophie Allen
Author: Beth Torr
Author: Alice Garrett
Author: et al.
Author: Chey Loveday
Author: Miranda Durkie
Author: Alison Callaway
Author: George J Burghel
Author: James Drummond
Author: Rachel Robinson
Author: Ian R Berry
Author: Andrew Wallace
Author: Diana M Eccles ORCID iD
Author: Marc Tischkowitz
Author: Sian Ellard
Author: James S Ware
Author: Helen Hanson
Author: Clare Turnbull
Corporate Author: CanVIG-UK

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×