Cargando…
Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer
INTRODUCTION: Next-generation-sequencing (NGS) is increasingly used in clinical and research protocols for patients with cancer. NGS assays are routinely used in clinical laboratories to detect mutations bearing on cancer diagnosis, prognosis and personalized therapy. A typical assay may interrogate...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719586/ https://www.ncbi.nlm.nih.gov/pubmed/29226007 http://dx.doi.org/10.4103/jpi.jpi_48_17 |
_version_ | 1783284522854383616 |
---|---|
author | Christensen, Paul A. Ni, Yunyun Bao, Feifei Hendrickson, Heather L. Greenwood, Michael Thomas, Jessica S. Long, S. Wesley Olsen, Randall J. |
author_facet | Christensen, Paul A. Ni, Yunyun Bao, Feifei Hendrickson, Heather L. Greenwood, Michael Thomas, Jessica S. Long, S. Wesley Olsen, Randall J. |
author_sort | Christensen, Paul A. |
collection | PubMed |
description | INTRODUCTION: Next-generation-sequencing (NGS) is increasingly used in clinical and research protocols for patients with cancer. NGS assays are routinely used in clinical laboratories to detect mutations bearing on cancer diagnosis, prognosis and personalized therapy. A typical assay may interrogate 50 or more gene targets that encompass many thousands of possible gene variants. Analysis of NGS data in cancer is a labor-intensive process that can become overwhelming to the molecular pathologist or research scientist. Although commercial tools for NGS data analysis and interpretation are available, they are often costly, lack key functionality or cannot be customized by the end user. METHODS: To facilitate NGS data analysis in our clinical molecular diagnostics laboratory, we created a custom bioinformatics tool termed Houston Methodist Variant Viewer (HMVV). HMVV is a Java-based solution that integrates sequencing instrument output, bioinformatics analysis, storage resources and end user interface. RESULTS: Compared to the predicate method used in our clinical laboratory, HMVV markedly simplifies the bioinformatics workflow for the molecular technologist and facilitates the variant review by the molecular pathologist. Importantly, HMVV reduces time spent researching the biological significance of the variants detected, standardizes the online resources used to perform the variant investigation and assists generation of the annotated report for the electronic medical record. HMVV also maintains a searchable variant database, including the variant annotations generated by the pathologist, which is useful for downstream quality improvement and research projects. CONCLUSIONS: HMVV is a clinical grade, low-cost, feature-rich, highly customizable platform that we have made available for continued development by the pathology informatics community. |
format | Online Article Text |
id | pubmed-5719586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-57195862017-12-08 Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer Christensen, Paul A. Ni, Yunyun Bao, Feifei Hendrickson, Heather L. Greenwood, Michael Thomas, Jessica S. Long, S. Wesley Olsen, Randall J. J Pathol Inform Original Article INTRODUCTION: Next-generation-sequencing (NGS) is increasingly used in clinical and research protocols for patients with cancer. NGS assays are routinely used in clinical laboratories to detect mutations bearing on cancer diagnosis, prognosis and personalized therapy. A typical assay may interrogate 50 or more gene targets that encompass many thousands of possible gene variants. Analysis of NGS data in cancer is a labor-intensive process that can become overwhelming to the molecular pathologist or research scientist. Although commercial tools for NGS data analysis and interpretation are available, they are often costly, lack key functionality or cannot be customized by the end user. METHODS: To facilitate NGS data analysis in our clinical molecular diagnostics laboratory, we created a custom bioinformatics tool termed Houston Methodist Variant Viewer (HMVV). HMVV is a Java-based solution that integrates sequencing instrument output, bioinformatics analysis, storage resources and end user interface. RESULTS: Compared to the predicate method used in our clinical laboratory, HMVV markedly simplifies the bioinformatics workflow for the molecular technologist and facilitates the variant review by the molecular pathologist. Importantly, HMVV reduces time spent researching the biological significance of the variants detected, standardizes the online resources used to perform the variant investigation and assists generation of the annotated report for the electronic medical record. HMVV also maintains a searchable variant database, including the variant annotations generated by the pathologist, which is useful for downstream quality improvement and research projects. CONCLUSIONS: HMVV is a clinical grade, low-cost, feature-rich, highly customizable platform that we have made available for continued development by the pathology informatics community. Medknow Publications & Media Pvt Ltd 2017-11-23 /pmc/articles/PMC5719586/ /pubmed/29226007 http://dx.doi.org/10.4103/jpi.jpi_48_17 Text en Copyright: © 2017 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Christensen, Paul A. Ni, Yunyun Bao, Feifei Hendrickson, Heather L. Greenwood, Michael Thomas, Jessica S. Long, S. Wesley Olsen, Randall J. Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title | Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title_full | Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title_fullStr | Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title_full_unstemmed | Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title_short | Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer |
title_sort | houston methodist variant viewer: an application to support clinical laboratory interpretation of next-generation sequencing data for cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719586/ https://www.ncbi.nlm.nih.gov/pubmed/29226007 http://dx.doi.org/10.4103/jpi.jpi_48_17 |
work_keys_str_mv | AT christensenpaula houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT niyunyun houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT baofeifei houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT hendricksonheatherl houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT greenwoodmichael houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT thomasjessicas houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT longswesley houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer AT olsenrandallj houstonmethodistvariantvieweranapplicationtosupportclinicallaboratoryinterpretationofnextgenerationsequencingdataforcancer |