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Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists
When ordering genetic testing or triaging candidate variants in exome and genome sequencing studies, it is critical to generate and test a comprehensive list of candidate genes that succinctly describe the complete and objective phenotypic features of disease. Significant efforts have been made to c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907284/ https://www.ncbi.nlm.nih.gov/pubmed/31829207 http://dx.doi.org/10.1186/s12920-019-0641-1 |
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author | Ekawade, Aditya Velinder, Matt Ward, Alistair DiSera, Tonya Miller, Chase Qiao, Yi Marth, Gabor |
author_facet | Ekawade, Aditya Velinder, Matt Ward, Alistair DiSera, Tonya Miller, Chase Qiao, Yi Marth, Gabor |
author_sort | Ekawade, Aditya |
collection | PubMed |
description | When ordering genetic testing or triaging candidate variants in exome and genome sequencing studies, it is critical to generate and test a comprehensive list of candidate genes that succinctly describe the complete and objective phenotypic features of disease. Significant efforts have been made to curate gene:disease associations both in academic research and commercial genetic testing laboratory settings. However, many of these valuable resources exist as islands and must be used independently, generating static, single-resource gene:disease association lists. Here we describe genepanel.iobio (https://genepanel.iobio.io) an easy to use, free and open-source web tool for generating disease- and phenotype-associated gene lists from multiple gene:disease association resources, including the NCBI Genetic Testing Registry (GTR), Phenolyzer, and the Human Phenotype Ontology (HPO). We demonstrate the utility of genepanel.iobio by applying it to complex, rare and undiagnosed disease cases that had reached a diagnostic conclusion. We find that genepanel.iobio is able to correctly prioritize the gene containing the diagnostic variant in roughly half of these challenging cases. Importantly, each component resource contributed diagnostic value, showing the benefits of this aggregate approach. We expect genepanel.iobio will improve the ease and diagnostic value of generating gene:disease association lists for genetic test ordering and whole genome or exome sequencing variant prioritization. |
format | Online Article Text |
id | pubmed-6907284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69072842019-12-19 Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists Ekawade, Aditya Velinder, Matt Ward, Alistair DiSera, Tonya Miller, Chase Qiao, Yi Marth, Gabor BMC Med Genomics Software When ordering genetic testing or triaging candidate variants in exome and genome sequencing studies, it is critical to generate and test a comprehensive list of candidate genes that succinctly describe the complete and objective phenotypic features of disease. Significant efforts have been made to curate gene:disease associations both in academic research and commercial genetic testing laboratory settings. However, many of these valuable resources exist as islands and must be used independently, generating static, single-resource gene:disease association lists. Here we describe genepanel.iobio (https://genepanel.iobio.io) an easy to use, free and open-source web tool for generating disease- and phenotype-associated gene lists from multiple gene:disease association resources, including the NCBI Genetic Testing Registry (GTR), Phenolyzer, and the Human Phenotype Ontology (HPO). We demonstrate the utility of genepanel.iobio by applying it to complex, rare and undiagnosed disease cases that had reached a diagnostic conclusion. We find that genepanel.iobio is able to correctly prioritize the gene containing the diagnostic variant in roughly half of these challenging cases. Importantly, each component resource contributed diagnostic value, showing the benefits of this aggregate approach. We expect genepanel.iobio will improve the ease and diagnostic value of generating gene:disease association lists for genetic test ordering and whole genome or exome sequencing variant prioritization. BioMed Central 2019-12-11 /pmc/articles/PMC6907284/ /pubmed/31829207 http://dx.doi.org/10.1186/s12920-019-0641-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Ekawade, Aditya Velinder, Matt Ward, Alistair DiSera, Tonya Miller, Chase Qiao, Yi Marth, Gabor Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title | Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title_full | Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title_fullStr | Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title_full_unstemmed | Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title_short | Genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
title_sort | genepanel.iobio - an easy to use web tool for generating disease- and phenotype-associated gene lists |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907284/ https://www.ncbi.nlm.nih.gov/pubmed/31829207 http://dx.doi.org/10.1186/s12920-019-0641-1 |
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