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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-8804171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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