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Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort

Functional assessment of genomic variants provides a promising approach to systematically examine the potential pathogenicity of variants independent of associated clinical data. However, making such conclusions requires validation with appropriate clinical findings. To this end, here, we use varian...

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Autores principales: Schiabor Barrett, Kelly M., Masnick, Max, Hatchell, Kathryn E., Savatt, Juliann M., Banet, Natalie, Buchanan, Adam, Willard, Huntington F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804171/
https://www.ncbi.nlm.nih.gov/pubmed/35128484
http://dx.doi.org/10.1016/j.xhgg.2022.100086
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author Schiabor Barrett, Kelly M.
Masnick, Max
Hatchell, Kathryn E.
Savatt, Juliann M.
Banet, Natalie
Buchanan, Adam
Willard, Huntington F.
author_facet Schiabor Barrett, Kelly M.
Masnick, Max
Hatchell, Kathryn E.
Savatt, Juliann M.
Banet, Natalie
Buchanan, Adam
Willard, Huntington F.
author_sort Schiabor Barrett, Kelly M.
collection PubMed
description Functional assessment of genomic variants provides a promising approach to systematically examine the potential pathogenicity of variants independent of associated clinical data. However, making such conclusions requires validation with appropriate clinical findings. To this end, here, we use variant calls from exome data and BRCA1-related cancer diagnoses from electronic health records to demonstrate an association between published laboratory-based functional designations of BRCA1 variants and BRCA1-related cancer diagnoses in an unselected cohort of patient-participants. These findings validate and support further exploration of functional assay data to better understand the pathogenicity of rare variants. This information may be valuable in the context of healthy population genomic screening, where many rare, potentially pathogenic variants may not have sufficient associated clinical data to inform their interpretation directly.
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spelling pubmed-88041712022-02-04 Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort Schiabor Barrett, Kelly M. Masnick, Max Hatchell, Kathryn E. Savatt, Juliann M. Banet, Natalie Buchanan, Adam Willard, Huntington F. HGG Adv Report Functional assessment of genomic variants provides a promising approach to systematically examine the potential pathogenicity of variants independent of associated clinical data. However, making such conclusions requires validation with appropriate clinical findings. To this end, here, we use variant calls from exome data and BRCA1-related cancer diagnoses from electronic health records to demonstrate an association between published laboratory-based functional designations of BRCA1 variants and BRCA1-related cancer diagnoses in an unselected cohort of patient-participants. These findings validate and support further exploration of functional assay data to better understand the pathogenicity of rare variants. This information may be valuable in the context of healthy population genomic screening, where many rare, potentially pathogenic variants may not have sufficient associated clinical data to inform their interpretation directly. Elsevier 2022-01-08 /pmc/articles/PMC8804171/ /pubmed/35128484 http://dx.doi.org/10.1016/j.xhgg.2022.100086 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Report
Schiabor Barrett, Kelly M.
Masnick, Max
Hatchell, Kathryn E.
Savatt, Juliann M.
Banet, Natalie
Buchanan, Adam
Willard, Huntington F.
Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title_full Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title_fullStr Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title_full_unstemmed Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title_short Clinical validation of genomic functional screen data: Analysis of observed BRCA1 variants in an unselected population cohort
title_sort clinical validation of genomic functional screen data: analysis of observed brca1 variants in an unselected population cohort
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804171/
https://www.ncbi.nlm.nih.gov/pubmed/35128484
http://dx.doi.org/10.1016/j.xhgg.2022.100086
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