Cargando…
Resources for Interpreting Variants in Precision Genomic Oncology Applications
Precision genomic oncology—applying high throughput sequencing (HTS) at the point-of-care to inform clinical decisions—is a developing precision medicine paradigm that is seeing increasing adoption. Simultaneously, new developments in targeted agents and immunotherapy, when informed by rich genomic...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610688/ https://www.ncbi.nlm.nih.gov/pubmed/28975082 http://dx.doi.org/10.3389/fonc.2017.00214 |
_version_ | 1783265803191189504 |
---|---|
author | Tsang, Hsinyi Addepalli, KanakaDurga Davis, Sean R. |
author_facet | Tsang, Hsinyi Addepalli, KanakaDurga Davis, Sean R. |
author_sort | Tsang, Hsinyi |
collection | PubMed |
description | Precision genomic oncology—applying high throughput sequencing (HTS) at the point-of-care to inform clinical decisions—is a developing precision medicine paradigm that is seeing increasing adoption. Simultaneously, new developments in targeted agents and immunotherapy, when informed by rich genomic characterization, offer potential benefit to a growing subset of patients. Multiple previous studies have commented on methods for identifying both germline and somatic variants. However, interpreting individual variants remains a significant challenge, relying in large part on the integration of observed variants with biological knowledge. A number of data and software resources have been developed to assist in interpreting observed variants, determining their potential clinical actionability, and augmenting them with ancillary information that can inform clinical decisions and even generate new hypotheses for exploration in the laboratory. Here, we review available variant catalogs, variant and functional annotation software and tools, and databases of clinically actionable variants that can be used in an ad hoc approach with research samples or incorporated into a data platform for interpreting and formally reporting clinical results. |
format | Online Article Text |
id | pubmed-5610688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56106882017-10-03 Resources for Interpreting Variants in Precision Genomic Oncology Applications Tsang, Hsinyi Addepalli, KanakaDurga Davis, Sean R. Front Oncol Oncology Precision genomic oncology—applying high throughput sequencing (HTS) at the point-of-care to inform clinical decisions—is a developing precision medicine paradigm that is seeing increasing adoption. Simultaneously, new developments in targeted agents and immunotherapy, when informed by rich genomic characterization, offer potential benefit to a growing subset of patients. Multiple previous studies have commented on methods for identifying both germline and somatic variants. However, interpreting individual variants remains a significant challenge, relying in large part on the integration of observed variants with biological knowledge. A number of data and software resources have been developed to assist in interpreting observed variants, determining their potential clinical actionability, and augmenting them with ancillary information that can inform clinical decisions and even generate new hypotheses for exploration in the laboratory. Here, we review available variant catalogs, variant and functional annotation software and tools, and databases of clinically actionable variants that can be used in an ad hoc approach with research samples or incorporated into a data platform for interpreting and formally reporting clinical results. Frontiers Media S.A. 2017-09-19 /pmc/articles/PMC5610688/ /pubmed/28975082 http://dx.doi.org/10.3389/fonc.2017.00214 Text en Copyright © 2017 Tsang, Addepalli and Davis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Tsang, Hsinyi Addepalli, KanakaDurga Davis, Sean R. Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title | Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title_full | Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title_fullStr | Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title_full_unstemmed | Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title_short | Resources for Interpreting Variants in Precision Genomic Oncology Applications |
title_sort | resources for interpreting variants in precision genomic oncology applications |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610688/ https://www.ncbi.nlm.nih.gov/pubmed/28975082 http://dx.doi.org/10.3389/fonc.2017.00214 |
work_keys_str_mv | AT tsanghsinyi resourcesforinterpretingvariantsinprecisiongenomiconcologyapplications AT addepallikanakadurga resourcesforinterpretingvariantsinprecisiongenomiconcologyapplications AT davisseanr resourcesforinterpretingvariantsinprecisiongenomiconcologyapplications |