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Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization
With increasing utilization of comprehensive genomic data to guide clinical care, anticipated to become the standard of care in many clinical settings, the practice of diagnostic medicine is undergoing a notable shift. However, the move from single-gene or panel-based genetic testing to exome and ge...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514592/ https://www.ncbi.nlm.nih.gov/pubmed/34645894 http://dx.doi.org/10.1038/s41598-021-99752-5 |
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author | Di Sera, Tonya Velinder, Matt Ward, Alistair Qiao, Yi Georges, Stephanie Miller, Chase Pitman, Anders Richards, Will Ekawade, Aditya Viskochil, David Carey, John C. Pace, Laura Bale, Jim Clardy, Stacey L. Andrews, Ashley Botto, Lorenzo Marth, Gabor |
author_facet | Di Sera, Tonya Velinder, Matt Ward, Alistair Qiao, Yi Georges, Stephanie Miller, Chase Pitman, Anders Richards, Will Ekawade, Aditya Viskochil, David Carey, John C. Pace, Laura Bale, Jim Clardy, Stacey L. Andrews, Ashley Botto, Lorenzo Marth, Gabor |
author_sort | Di Sera, Tonya |
collection | PubMed |
description | With increasing utilization of comprehensive genomic data to guide clinical care, anticipated to become the standard of care in many clinical settings, the practice of diagnostic medicine is undergoing a notable shift. However, the move from single-gene or panel-based genetic testing to exome and genome sequencing has not been matched by the development of tools to enable diagnosticians to interpret increasingly complex or uncertain genomic findings. Here, we present gene.iobio, a real-time, intuitive and interactive web application for clinically-driven variant interrogation and prioritization. We show gene.iobio is a novel and effective approach that significantly improves upon and reimagines existing methods. In a radical departure from existing methods that present variants and genomic data in text and table formats, gene.iobio provides an interactive, intuitive and visually-driven analysis environment. We demonstrate that adoption of gene.iobio in clinical and research settings empowers clinical care providers to interact directly with patient genomic data both for establishing clinical diagnoses and informing patient care, using sophisticated genomic analyses that previously were only accessible via complex command line tools. |
format | Online Article Text |
id | pubmed-8514592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85145922021-10-15 Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization Di Sera, Tonya Velinder, Matt Ward, Alistair Qiao, Yi Georges, Stephanie Miller, Chase Pitman, Anders Richards, Will Ekawade, Aditya Viskochil, David Carey, John C. Pace, Laura Bale, Jim Clardy, Stacey L. Andrews, Ashley Botto, Lorenzo Marth, Gabor Sci Rep Article With increasing utilization of comprehensive genomic data to guide clinical care, anticipated to become the standard of care in many clinical settings, the practice of diagnostic medicine is undergoing a notable shift. However, the move from single-gene or panel-based genetic testing to exome and genome sequencing has not been matched by the development of tools to enable diagnosticians to interpret increasingly complex or uncertain genomic findings. Here, we present gene.iobio, a real-time, intuitive and interactive web application for clinically-driven variant interrogation and prioritization. We show gene.iobio is a novel and effective approach that significantly improves upon and reimagines existing methods. In a radical departure from existing methods that present variants and genomic data in text and table formats, gene.iobio provides an interactive, intuitive and visually-driven analysis environment. We demonstrate that adoption of gene.iobio in clinical and research settings empowers clinical care providers to interact directly with patient genomic data both for establishing clinical diagnoses and informing patient care, using sophisticated genomic analyses that previously were only accessible via complex command line tools. Nature Publishing Group UK 2021-10-13 /pmc/articles/PMC8514592/ /pubmed/34645894 http://dx.doi.org/10.1038/s41598-021-99752-5 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Di Sera, Tonya Velinder, Matt Ward, Alistair Qiao, Yi Georges, Stephanie Miller, Chase Pitman, Anders Richards, Will Ekawade, Aditya Viskochil, David Carey, John C. Pace, Laura Bale, Jim Clardy, Stacey L. Andrews, Ashley Botto, Lorenzo Marth, Gabor Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title | Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title_full | Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title_fullStr | Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title_full_unstemmed | Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title_short | Gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
title_sort | gene.iobio: an interactive web tool for versatile, clinically-driven variant interrogation and prioritization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514592/ https://www.ncbi.nlm.nih.gov/pubmed/34645894 http://dx.doi.org/10.1038/s41598-021-99752-5 |
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