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Genomic Landscape and Mutational Signatures of Deafness-Associated Genes
The classification of genetic variants represents a major challenge in the post-genome era by virtue of their extraordinary number and the complexities associated with ascribing a clinical impact, especially for disorders exhibiting exceptional phenotypic, genetic, and allelic heterogeneity. To addr...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174355/ https://www.ncbi.nlm.nih.gov/pubmed/30245029 http://dx.doi.org/10.1016/j.ajhg.2018.08.006 |
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author | Azaiez, Hela Booth, Kevin T. Ephraim, Sean S. Crone, Bradley Black-Ziegelbein, Elizabeth A. Marini, Robert J. Shearer, A. Eliot Sloan-Heggen, Christina M. Kolbe, Diana Casavant, Thomas Schnieders, Michael J. Nishimura, Carla Braun, Terry Smith, Richard J.H. |
author_facet | Azaiez, Hela Booth, Kevin T. Ephraim, Sean S. Crone, Bradley Black-Ziegelbein, Elizabeth A. Marini, Robert J. Shearer, A. Eliot Sloan-Heggen, Christina M. Kolbe, Diana Casavant, Thomas Schnieders, Michael J. Nishimura, Carla Braun, Terry Smith, Richard J.H. |
author_sort | Azaiez, Hela |
collection | PubMed |
description | The classification of genetic variants represents a major challenge in the post-genome era by virtue of their extraordinary number and the complexities associated with ascribing a clinical impact, especially for disorders exhibiting exceptional phenotypic, genetic, and allelic heterogeneity. To address this challenge for hearing loss, we have developed the Deafness Variation Database (DVD), a comprehensive, open-access resource that integrates all available genetic, genomic, and clinical data together with expert curation to generate a single classification for each variant in 152 genes implicated in syndromic and non-syndromic deafness. We evaluate 876,139 variants and classify them as pathogenic or likely pathogenic (more than 8,100 variants), benign or likely benign (more than 172,000 variants), or of uncertain significance (more than 695,000 variants); 1,270 variants are re-categorized based on expert curation and in 300 instances, the change is of medical significance and impacts clinical care. We show that more than 96% of coding variants are rare and novel and that pathogenicity is driven by minor allele frequency thresholds, variant effect, and protein domain. The mutational landscape we define shows complex gene-specific variability, making an understanding of these nuances foundational for improved accuracy in variant interpretation in order to enhance clinical decision making and improve our understanding of deafness biology. |
format | Online Article Text |
id | pubmed-6174355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61743552019-04-04 Genomic Landscape and Mutational Signatures of Deafness-Associated Genes Azaiez, Hela Booth, Kevin T. Ephraim, Sean S. Crone, Bradley Black-Ziegelbein, Elizabeth A. Marini, Robert J. Shearer, A. Eliot Sloan-Heggen, Christina M. Kolbe, Diana Casavant, Thomas Schnieders, Michael J. Nishimura, Carla Braun, Terry Smith, Richard J.H. Am J Hum Genet Article The classification of genetic variants represents a major challenge in the post-genome era by virtue of their extraordinary number and the complexities associated with ascribing a clinical impact, especially for disorders exhibiting exceptional phenotypic, genetic, and allelic heterogeneity. To address this challenge for hearing loss, we have developed the Deafness Variation Database (DVD), a comprehensive, open-access resource that integrates all available genetic, genomic, and clinical data together with expert curation to generate a single classification for each variant in 152 genes implicated in syndromic and non-syndromic deafness. We evaluate 876,139 variants and classify them as pathogenic or likely pathogenic (more than 8,100 variants), benign or likely benign (more than 172,000 variants), or of uncertain significance (more than 695,000 variants); 1,270 variants are re-categorized based on expert curation and in 300 instances, the change is of medical significance and impacts clinical care. We show that more than 96% of coding variants are rare and novel and that pathogenicity is driven by minor allele frequency thresholds, variant effect, and protein domain. The mutational landscape we define shows complex gene-specific variability, making an understanding of these nuances foundational for improved accuracy in variant interpretation in order to enhance clinical decision making and improve our understanding of deafness biology. Elsevier 2018-10-04 2018-09-20 /pmc/articles/PMC6174355/ /pubmed/30245029 http://dx.doi.org/10.1016/j.ajhg.2018.08.006 Text en © 2018 The Authors http://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 | Article Azaiez, Hela Booth, Kevin T. Ephraim, Sean S. Crone, Bradley Black-Ziegelbein, Elizabeth A. Marini, Robert J. Shearer, A. Eliot Sloan-Heggen, Christina M. Kolbe, Diana Casavant, Thomas Schnieders, Michael J. Nishimura, Carla Braun, Terry Smith, Richard J.H. Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title | Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title_full | Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title_fullStr | Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title_full_unstemmed | Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title_short | Genomic Landscape and Mutational Signatures of Deafness-Associated Genes |
title_sort | genomic landscape and mutational signatures of deafness-associated genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174355/ https://www.ncbi.nlm.nih.gov/pubmed/30245029 http://dx.doi.org/10.1016/j.ajhg.2018.08.006 |
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