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A conceptual model for translating omic data into clinical action
Genomic, proteomic, epigenomic, and other “omic” data have the potential to enable precision medicine, also commonly referred to as personalized medicine. The volume and complexity of omic data are rapidly overwhelming human cognitive capacity, requiring innovative approaches to translate such data...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584438/ https://www.ncbi.nlm.nih.gov/pubmed/26430534 http://dx.doi.org/10.4103/2153-3539.163985 |
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author | Herr, Timothy M. Bielinski, Suzette J. Bottinger, Erwin Brautbar, Ariel Brilliant, Murray Chute, Christopher G. Denny, Joshua Freimuth, Robert R. Hartzler, Andrea Kannry, Joseph Kohane, Isaac S. Kullo, Iftikhar J. Lin, Simon Pathak, Jyotishman Peissig, Peggy Pulley, Jill Ralston, James Rasmussen, Luke Roden, Dan Tromp, Gerard Williams, Marc S. Starren, Justin |
author_facet | Herr, Timothy M. Bielinski, Suzette J. Bottinger, Erwin Brautbar, Ariel Brilliant, Murray Chute, Christopher G. Denny, Joshua Freimuth, Robert R. Hartzler, Andrea Kannry, Joseph Kohane, Isaac S. Kullo, Iftikhar J. Lin, Simon Pathak, Jyotishman Peissig, Peggy Pulley, Jill Ralston, James Rasmussen, Luke Roden, Dan Tromp, Gerard Williams, Marc S. Starren, Justin |
author_sort | Herr, Timothy M. |
collection | PubMed |
description | Genomic, proteomic, epigenomic, and other “omic” data have the potential to enable precision medicine, also commonly referred to as personalized medicine. The volume and complexity of omic data are rapidly overwhelming human cognitive capacity, requiring innovative approaches to translate such data into patient care. Here, we outline a conceptual model for the application of omic data in the clinical context, called “the omic funnel.” This model parallels the classic “Data, Information, Knowledge, Wisdom pyramid” and adds context for how to move between each successive layer. Its goal is to allow informaticians, researchers, and clinicians to approach the problem of translating omic data from bench to bedside, by using discrete steps with clearly defined needs. Such an approach can facilitate the development of modular and interoperable software that can bring precision medicine into widespread practice. |
format | Online Article Text |
id | pubmed-4584438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-45844382015-10-01 A conceptual model for translating omic data into clinical action Herr, Timothy M. Bielinski, Suzette J. Bottinger, Erwin Brautbar, Ariel Brilliant, Murray Chute, Christopher G. Denny, Joshua Freimuth, Robert R. Hartzler, Andrea Kannry, Joseph Kohane, Isaac S. Kullo, Iftikhar J. Lin, Simon Pathak, Jyotishman Peissig, Peggy Pulley, Jill Ralston, James Rasmussen, Luke Roden, Dan Tromp, Gerard Williams, Marc S. Starren, Justin J Pathol Inform Viewpoint Genomic, proteomic, epigenomic, and other “omic” data have the potential to enable precision medicine, also commonly referred to as personalized medicine. The volume and complexity of omic data are rapidly overwhelming human cognitive capacity, requiring innovative approaches to translate such data into patient care. Here, we outline a conceptual model for the application of omic data in the clinical context, called “the omic funnel.” This model parallels the classic “Data, Information, Knowledge, Wisdom pyramid” and adds context for how to move between each successive layer. Its goal is to allow informaticians, researchers, and clinicians to approach the problem of translating omic data from bench to bedside, by using discrete steps with clearly defined needs. Such an approach can facilitate the development of modular and interoperable software that can bring precision medicine into widespread practice. Medknow Publications & Media Pvt Ltd 2015-08-31 /pmc/articles/PMC4584438/ /pubmed/26430534 http://dx.doi.org/10.4103/2153-3539.163985 Text en Copyright: © 2015 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 | Viewpoint Herr, Timothy M. Bielinski, Suzette J. Bottinger, Erwin Brautbar, Ariel Brilliant, Murray Chute, Christopher G. Denny, Joshua Freimuth, Robert R. Hartzler, Andrea Kannry, Joseph Kohane, Isaac S. Kullo, Iftikhar J. Lin, Simon Pathak, Jyotishman Peissig, Peggy Pulley, Jill Ralston, James Rasmussen, Luke Roden, Dan Tromp, Gerard Williams, Marc S. Starren, Justin A conceptual model for translating omic data into clinical action |
title | A conceptual model for translating omic data into clinical action |
title_full | A conceptual model for translating omic data into clinical action |
title_fullStr | A conceptual model for translating omic data into clinical action |
title_full_unstemmed | A conceptual model for translating omic data into clinical action |
title_short | A conceptual model for translating omic data into clinical action |
title_sort | conceptual model for translating omic data into clinical action |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584438/ https://www.ncbi.nlm.nih.gov/pubmed/26430534 http://dx.doi.org/10.4103/2153-3539.163985 |
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