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

IGNITE Network

England

2016-02-01T15:04:15Z

2016-01-05

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.

http://www.ncbi.nlm.nih.gov/pubmed/26729011

10.1186/s12920-015-0162-5

1755-8794

https://hdl.handle.net/10161/11573

eng

Springer Science and Business Media LLC

BMC Med Genomics

10.1186/s12920-015-0162-5

Biomedical Research

Cooperative Behavior

Genetic Testing

Genomics

Geography

Humans

Models, Theoretical

Precision Medicine

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

Journal article

Orlando, Lori A|0000-0003-2534-7855

Wu, R Ryanne|0000-0002-7655-3096

Ginsburg, Geoffrey S|0000-0003-4739-9808

http://www.ncbi.nlm.nih.gov/pubmed/26729011

1

Biomedical Engineering

Clinical Science Departments

Duke

Duke Cancer Institute

Institutes and Centers

Medicine

Medicine, Cardiology

Medicine, General Internal Medicine

Pathology

Pratt School of Engineering

School of Medicine

School of Nursing

School of Nursing - Secondary Group

Published online

9