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The IGNITE network: a model for genomic medicine implementation and research

BACKGROUND: Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of geno...

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Autores principales: Weitzel, Kristin Wiisanen, Alexander, Madeline, Bernhardt, Barbara A., Calman, Neil, Carey, David J., Cavallari, Larisa H., Field, Julie R., Hauser, Diane, Junkins, Heather A., Levin, Phillip A., Levy, Kenneth, Madden, Ebony B., Manolio, Teri A., Odgis, Jacqueline, Orlando, Lori A., Pyeritz, Reed, Wu, R. Ryanne, Shuldiner, Alan R., Bottinger, Erwin P., Denny, Joshua C., Dexter, Paul R., Flockhart, David A., Horowitz, Carol R., Johnson, Julie A., Kimmel, Stephen E., Levy, Mia A., Pollin, Toni I., Ginsburg, Geoffrey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700677/
https://www.ncbi.nlm.nih.gov/pubmed/26729011
http://dx.doi.org/10.1186/s12920-015-0162-5
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author Weitzel, Kristin Wiisanen
Alexander, Madeline
Bernhardt, Barbara A.
Calman, Neil
Carey, David J.
Cavallari, Larisa H.
Field, Julie R.
Hauser, Diane
Junkins, Heather A.
Levin, Phillip A.
Levy, Kenneth
Madden, Ebony B.
Manolio, Teri A.
Odgis, Jacqueline
Orlando, Lori A.
Pyeritz, Reed
Wu, R. Ryanne
Shuldiner, Alan R.
Bottinger, Erwin P.
Denny, Joshua C.
Dexter, Paul R.
Flockhart, David A.
Horowitz, Carol R.
Johnson, Julie A.
Kimmel, Stephen E.
Levy, Mia A.
Pollin, Toni I.
Ginsburg, Geoffrey S.
author_facet Weitzel, Kristin Wiisanen
Alexander, Madeline
Bernhardt, Barbara A.
Calman, Neil
Carey, David J.
Cavallari, Larisa H.
Field, Julie R.
Hauser, Diane
Junkins, Heather A.
Levin, Phillip A.
Levy, Kenneth
Madden, Ebony B.
Manolio, Teri A.
Odgis, Jacqueline
Orlando, Lori A.
Pyeritz, Reed
Wu, R. Ryanne
Shuldiner, Alan R.
Bottinger, Erwin P.
Denny, Joshua C.
Dexter, Paul R.
Flockhart, David A.
Horowitz, Carol R.
Johnson, Julie A.
Kimmel, Stephen E.
Levy, Mia A.
Pollin, Toni I.
Ginsburg, Geoffrey S.
author_sort Weitzel, Kristin Wiisanen
collection PubMed
description BACKGROUND: Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility. METHODS: To address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches. RESULTS: This paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years. CONCLUSIONS: The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.
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spelling pubmed-47006772016-01-06 The IGNITE network: a model for genomic medicine implementation and research Weitzel, Kristin Wiisanen Alexander, Madeline Bernhardt, Barbara A. Calman, Neil Carey, David J. Cavallari, Larisa H. Field, Julie R. Hauser, Diane Junkins, Heather A. Levin, Phillip A. Levy, Kenneth Madden, Ebony B. Manolio, Teri A. Odgis, Jacqueline Orlando, Lori A. Pyeritz, Reed Wu, R. Ryanne Shuldiner, Alan R. Bottinger, Erwin P. Denny, Joshua C. Dexter, Paul R. Flockhart, David A. Horowitz, Carol R. Johnson, Julie A. Kimmel, Stephen E. Levy, Mia A. Pollin, Toni I. Ginsburg, Geoffrey S. BMC Med Genomics Research Article BACKGROUND: Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility. METHODS: To address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches. RESULTS: This paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years. CONCLUSIONS: The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice. BioMed Central 2016-01-05 /pmc/articles/PMC4700677/ /pubmed/26729011 http://dx.doi.org/10.1186/s12920-015-0162-5 Text en © Weitzel et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Weitzel, Kristin Wiisanen
Alexander, Madeline
Bernhardt, Barbara A.
Calman, Neil
Carey, David J.
Cavallari, Larisa H.
Field, Julie R.
Hauser, Diane
Junkins, Heather A.
Levin, Phillip A.
Levy, Kenneth
Madden, Ebony B.
Manolio, Teri A.
Odgis, Jacqueline
Orlando, Lori A.
Pyeritz, Reed
Wu, R. Ryanne
Shuldiner, Alan R.
Bottinger, Erwin P.
Denny, Joshua C.
Dexter, Paul R.
Flockhart, David A.
Horowitz, Carol R.
Johnson, Julie A.
Kimmel, Stephen E.
Levy, Mia A.
Pollin, Toni I.
Ginsburg, Geoffrey S.
The IGNITE network: a model for genomic medicine implementation and research
title The IGNITE network: a model for genomic medicine implementation and research
title_full The IGNITE network: a model for genomic medicine implementation and research
title_fullStr The IGNITE network: a model for genomic medicine implementation and research
title_full_unstemmed The IGNITE network: a model for genomic medicine implementation and research
title_short The IGNITE network: a model for genomic medicine implementation and research
title_sort ignite network: a model for genomic medicine implementation and research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4700677/
https://www.ncbi.nlm.nih.gov/pubmed/26729011
http://dx.doi.org/10.1186/s12920-015-0162-5
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