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A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence

The classification and interpretation of genetic variants associated with genetic diseases have been shown to vary between clinical genetic laboratories. This can lead to errors introduced in the interpretation and public presentation of genetic findings in the literature and available databases. Th...

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Autores principales: Coovadia, Adam, Boccuto, Luigi, Chang, Yenui, DeLuca, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688707/
https://www.ncbi.nlm.nih.gov/pubmed/38032981
http://dx.doi.org/10.1371/journal.pone.0295010
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author Coovadia, Adam
Boccuto, Luigi
Chang, Yenui
DeLuca, Jane
author_facet Coovadia, Adam
Boccuto, Luigi
Chang, Yenui
DeLuca, Jane
author_sort Coovadia, Adam
collection PubMed
description The classification and interpretation of genetic variants associated with genetic diseases have been shown to vary between clinical genetic laboratories. This can lead to errors introduced in the interpretation and public presentation of genetic findings in the literature and available databases. This qualitative study utilizes real-world evidence to introduce a taxonomic schema of potential pitfalls associated with public and commercial resources commonly used for sequence variant analysis. Databases, articles and other resources continue to evolve over time. A modified and expanded version of Reason’s Model of Human Error with respect to variant analysis is proposed and discussed. This study complements professional standards and published recommendations of interpretive considerations associated with variant analysis and expands the scope of professional competency.
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spelling pubmed-106887072023-12-01 A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence Coovadia, Adam Boccuto, Luigi Chang, Yenui DeLuca, Jane PLoS One Research Article The classification and interpretation of genetic variants associated with genetic diseases have been shown to vary between clinical genetic laboratories. This can lead to errors introduced in the interpretation and public presentation of genetic findings in the literature and available databases. This qualitative study utilizes real-world evidence to introduce a taxonomic schema of potential pitfalls associated with public and commercial resources commonly used for sequence variant analysis. Databases, articles and other resources continue to evolve over time. A modified and expanded version of Reason’s Model of Human Error with respect to variant analysis is proposed and discussed. This study complements professional standards and published recommendations of interpretive considerations associated with variant analysis and expands the scope of professional competency. Public Library of Science 2023-11-30 /pmc/articles/PMC10688707/ /pubmed/38032981 http://dx.doi.org/10.1371/journal.pone.0295010 Text en © 2023 Coovadia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Coovadia, Adam
Boccuto, Luigi
Chang, Yenui
DeLuca, Jane
A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title_full A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title_fullStr A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title_full_unstemmed A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title_short A taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
title_sort taxonomic schema of potential pitfalls in clinical variant analysis based on real-world evidence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688707/
https://www.ncbi.nlm.nih.gov/pubmed/38032981
http://dx.doi.org/10.1371/journal.pone.0295010
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