The eMERGE Network has developed as a dynamic consortium, generating national impact on the use of EMRs for research and genomic medicine translation. As the eMERGE I and then the eMERGE II Coordinating Center (CC), we successfully combined scientific and logistical efforts of network sites to make significant progress, including: imputation and merging of GWAS data on 55,000 subjects with electronic medical records, 41 network-wide EMR phenotype deployments, development and integration of the eMERGE PGx project and research enabling tools such as PheKB and SPHINX. Building off of our success and following the stated goal of eMERGE III, our CC will continue as a hub for the Network by maintaining all of our current functions and evolving with the Network. The CC will remain responsible for cross-study functions, conducting quality control analyses of sequencing data, harmonizing data across studies, supporting cross-study analyses as needed, managing and upgrading the eMERGE Network website (gwas.org), facilitating outside collaborations, and organizing the logistics of the collaborative programs. As the eMERGE mission extends genomic discoveries research into genomic medicine practice research, we will bring both continuity and freshly envisioned innovations to support this important work, as illustrated in five proposed specific aims: (1) Extending informatics tools to accelerate phenotyping and facilitate end-to-end genomic medicine research. (2) Integrate high quality genomic information across eMERGE sites. (3) Secure EMR and genomic data sharing risk mitigation. (4) Provide excellent logistical support to the entire expanded network; including committees, work groups, NHGRI and the ESP. And finally, in keeping pace with national dynamics, we add (5) Synergize with other related networks to eliminate redundancy, promote cross pollination of best practices, and share eMERGE tools.

Public Health Relevance

The goal of the eMERGE III project is to continue genomic discovery and clinical implementation research using large biorepositories linked to electronic medical records (EMRs). The role of the Coordinating Center is to support the Network and this goal.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HG008701-04S1
Application #
9733602
Study Section
Program Officer
Li, Rongling
Project Start
2015-09-01
Project End
2019-05-31
Budget Start
2018-08-31
Budget End
2019-05-31
Support Year
4
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Type
DUNS #
079917897
City
Nashville
State
TN
Country
United States
Zip Code
37232
Empey, Philip E; Stevenson, James M; Tuteja, Sony et al. (2018) Multisite Investigation of Strategies for the Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy. Clin Pharmacol Ther 104:664-674
Bishop-Fitzpatrick, Lauren; Movaghar, Arezoo; Greenberg, Jan S et al. (2018) Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder. Autism Res 11:1120-1128
Bailey, Jessica N Cooke; Gharahkhani, Puya; Kang, Jae H et al. (2018) Testosterone Pathway Genetic Polymorphisms in Relation to Primary Open-Angle Glaucoma: An Analysis in Two Large Datasets. Invest Ophthalmol Vis Sci 59:629-636
Pet, Douglas B; Holm, Ingrid A; Williams, Janet L et al. (2018) Physicians' perspectives on receiving unsolicited genomic results. Genet Med :
Wei, Wei-Qi; Li, Xiaohui; Feng, Qiping et al. (2018) LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins. Circulation 138:1839-1849
Carter, Tonia C; Hebbring, Scott J; Liu, Jixia et al. (2018) Pilot screening study of targeted genetic polymorphisms for association with seasonal influenza hospital admission. J Med Virol 90:436-446
Wang, Liuyang; Pittman, Kelly J; Barker, Jeffrey R et al. (2018) An Atlas of Genetic Variation Linking Pathogen-Induced Cellular Traits to Human Disease. Cell Host Microbe 24:308-323.e6
Fossey, Robyn; Kochan, David; Winkler, Erin et al. (2018) Ethical Considerations Related to Return of Results from Genomic Medicine Projects: The eMERGE Network (Phase III) Experience. J Pers Med 8:
Peissig, Peggy; Schwei, Kelsey M; Kadolph, Christopher et al. (2017) Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application. JMIR Med Inform 5:e27
Sanderson, Saskia C; Brothers, Kyle B; Mercaldo, Nathaniel D et al. (2017) Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. Am J Hum Genet 100:414-427

Showing the most recent 10 out of 27 publications