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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
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.
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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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