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Variant interpretation using population databases: Lessons from gnomAD

Reference population databases are an essential tool in variant and gene interpretation. Their use guides the identification of pathogenic variants amidst the sea of benign variation present in every human genome, and supports the discovery of new disease–gene relationships. The Genome Aggregation D...

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Autores principales: Gudmundsson, Sanna, Singer‐Berk, Moriel, Watts, Nicholas A., Phu, William, Goodrich, Julia K., Solomonson, Matthew, Rehm, Heidi L., MacArthur, Daniel G., O'Donnell‐Luria, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160216/
https://www.ncbi.nlm.nih.gov/pubmed/34859531
http://dx.doi.org/10.1002/humu.24309
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author Gudmundsson, Sanna
Singer‐Berk, Moriel
Watts, Nicholas A.
Phu, William
Goodrich, Julia K.
Solomonson, Matthew
Rehm, Heidi L.
MacArthur, Daniel G.
O'Donnell‐Luria, Anne
author_facet Gudmundsson, Sanna
Singer‐Berk, Moriel
Watts, Nicholas A.
Phu, William
Goodrich, Julia K.
Solomonson, Matthew
Rehm, Heidi L.
MacArthur, Daniel G.
O'Donnell‐Luria, Anne
author_sort Gudmundsson, Sanna
collection PubMed
description Reference population databases are an essential tool in variant and gene interpretation. Their use guides the identification of pathogenic variants amidst the sea of benign variation present in every human genome, and supports the discovery of new disease–gene relationships. The Genome Aggregation Database (gnomAD) is currently the largest and most widely used publicly available collection of population variation from harmonized sequencing data. The data is available through the online gnomAD browser (https://gnomad.broadinstitute.org/) that enables rapid and intuitive variant analysis. This review provides guidance on the content of the gnomAD browser, and its usage for variant and gene interpretation. We introduce key features including allele frequency, per‐base expression levels, constraint scores, and variant co‐occurrence, alongside guidance on how to use these in analysis, with a focus on the interpretation of candidate variants and novel genes in rare disease.
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spelling pubmed-91602162022-08-01 Variant interpretation using population databases: Lessons from gnomAD Gudmundsson, Sanna Singer‐Berk, Moriel Watts, Nicholas A. Phu, William Goodrich, Julia K. Solomonson, Matthew Rehm, Heidi L. MacArthur, Daniel G. O'Donnell‐Luria, Anne Hum Mutat Review Reference population databases are an essential tool in variant and gene interpretation. Their use guides the identification of pathogenic variants amidst the sea of benign variation present in every human genome, and supports the discovery of new disease–gene relationships. The Genome Aggregation Database (gnomAD) is currently the largest and most widely used publicly available collection of population variation from harmonized sequencing data. The data is available through the online gnomAD browser (https://gnomad.broadinstitute.org/) that enables rapid and intuitive variant analysis. This review provides guidance on the content of the gnomAD browser, and its usage for variant and gene interpretation. We introduce key features including allele frequency, per‐base expression levels, constraint scores, and variant co‐occurrence, alongside guidance on how to use these in analysis, with a focus on the interpretation of candidate variants and novel genes in rare disease. John Wiley and Sons Inc. 2021-12-16 2022-08 /pmc/articles/PMC9160216/ /pubmed/34859531 http://dx.doi.org/10.1002/humu.24309 Text en © 2022 The Authors. Human Mutation Published by Wiley Periodicals LLC https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Gudmundsson, Sanna
Singer‐Berk, Moriel
Watts, Nicholas A.
Phu, William
Goodrich, Julia K.
Solomonson, Matthew
Rehm, Heidi L.
MacArthur, Daniel G.
O'Donnell‐Luria, Anne
Variant interpretation using population databases: Lessons from gnomAD
title Variant interpretation using population databases: Lessons from gnomAD
title_full Variant interpretation using population databases: Lessons from gnomAD
title_fullStr Variant interpretation using population databases: Lessons from gnomAD
title_full_unstemmed Variant interpretation using population databases: Lessons from gnomAD
title_short Variant interpretation using population databases: Lessons from gnomAD
title_sort variant interpretation using population databases: lessons from gnomad
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160216/
https://www.ncbi.nlm.nih.gov/pubmed/34859531
http://dx.doi.org/10.1002/humu.24309
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