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Sources of discordance among germ-line variant classifications in ClinVar

PURPOSE: ClinVar is increasingly used as a resource for both genetic variant interpretation and clinical practice. However, controversies exist regarding the consistency of classifications in ClinVar, and questions remain about how best to use these data. Our study systematically examined ClinVar to...

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Autores principales: Yang, Shan, Lincoln, Stephen E, Kobayashi, Yuya, Nykamp, Keith, Nussbaum, Robert L, Topper, Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632819/
https://www.ncbi.nlm.nih.gov/pubmed/28569743
http://dx.doi.org/10.1038/gim.2017.60
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author Yang, Shan
Lincoln, Stephen E
Kobayashi, Yuya
Nykamp, Keith
Nussbaum, Robert L
Topper, Scott
author_facet Yang, Shan
Lincoln, Stephen E
Kobayashi, Yuya
Nykamp, Keith
Nussbaum, Robert L
Topper, Scott
author_sort Yang, Shan
collection PubMed
description PURPOSE: ClinVar is increasingly used as a resource for both genetic variant interpretation and clinical practice. However, controversies exist regarding the consistency of classifications in ClinVar, and questions remain about how best to use these data. Our study systematically examined ClinVar to identify common sources of discordance and thus inform ongoing practices. METHODS: We analyzed variants that had multiple classifications in ClinVar, excluding benign polymorphisms. Classifications were categorized by potential actionability and pathogenicity. Consensus interpretations were calculated for each variant, and the properties of the discordant outlier classifications were summarized. RESULTS: Our study included 74,065 classifications of 27,224 unique variants in 1,713 genes. We found that (i) concordance rates differed among clinical areas and variant types; (ii) clinical testing methods had much higher concordance than basic literature curation and research efforts; (iii) older classifications had greater discordance than newer ones; and (iv) low-penetrance variants had particularly high discordance. CONCLUSION: Recent variant classifications from clinical testing laboratories have high overall concordance in many (but not all) clinical areas. ClinVar can be a reliable resource supporting variant interpretation, quality assessment, and clinical practice when factors uncovered in this study are taken into account. Ongoing improvements to ClinVar may make it easier to use, particularly for nonexpert users.
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spelling pubmed-56328192017-10-11 Sources of discordance among germ-line variant classifications in ClinVar Yang, Shan Lincoln, Stephen E Kobayashi, Yuya Nykamp, Keith Nussbaum, Robert L Topper, Scott Genet Med Original Research Article PURPOSE: ClinVar is increasingly used as a resource for both genetic variant interpretation and clinical practice. However, controversies exist regarding the consistency of classifications in ClinVar, and questions remain about how best to use these data. Our study systematically examined ClinVar to identify common sources of discordance and thus inform ongoing practices. METHODS: We analyzed variants that had multiple classifications in ClinVar, excluding benign polymorphisms. Classifications were categorized by potential actionability and pathogenicity. Consensus interpretations were calculated for each variant, and the properties of the discordant outlier classifications were summarized. RESULTS: Our study included 74,065 classifications of 27,224 unique variants in 1,713 genes. We found that (i) concordance rates differed among clinical areas and variant types; (ii) clinical testing methods had much higher concordance than basic literature curation and research efforts; (iii) older classifications had greater discordance than newer ones; and (iv) low-penetrance variants had particularly high discordance. CONCLUSION: Recent variant classifications from clinical testing laboratories have high overall concordance in many (but not all) clinical areas. ClinVar can be a reliable resource supporting variant interpretation, quality assessment, and clinical practice when factors uncovered in this study are taken into account. Ongoing improvements to ClinVar may make it easier to use, particularly for nonexpert users. Nature Publishing Group 2017-10 2017-06-01 /pmc/articles/PMC5632819/ /pubmed/28569743 http://dx.doi.org/10.1038/gim.2017.60 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Research Article
Yang, Shan
Lincoln, Stephen E
Kobayashi, Yuya
Nykamp, Keith
Nussbaum, Robert L
Topper, Scott
Sources of discordance among germ-line variant classifications in ClinVar
title Sources of discordance among germ-line variant classifications in ClinVar
title_full Sources of discordance among germ-line variant classifications in ClinVar
title_fullStr Sources of discordance among germ-line variant classifications in ClinVar
title_full_unstemmed Sources of discordance among germ-line variant classifications in ClinVar
title_short Sources of discordance among germ-line variant classifications in ClinVar
title_sort sources of discordance among germ-line variant classifications in clinvar
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632819/
https://www.ncbi.nlm.nih.gov/pubmed/28569743
http://dx.doi.org/10.1038/gim.2017.60
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