The Electronic Medical Records and Genomics (eMERGE) Network is a National Institutes of Health (NIH)-organized and funded consortium of U.S. medical research institutions. The Network brings together researchers with a wide range of expertise in genomics, statistics, ethics, informatics, and clinical medicine from leading medical research institutions across the country to conduct research in genomics, including discovery, clinical implementation and public resources (see goals). eMERGE was announced in September 2007 and began its third phase in September 2015.
The primary goal of the eMERGE Network is to develop, disseminate, and apply approaches to research that combine biorepositories with electronic medical record (EMR) systems for genomic discovery and genomic medicine implementation research. In addition, the consortium includes a focus on social and ethical issues such as privacy, confidentiality, and interactions with the broader community.
eMERGE Phase I (September 2007 - July 2011) included five study investigator sites and an administrative coordinating center within one of these sites. Each site participating in the consortium led studies on the relationship between genetic variation and at least two common traits among the network participants, using the technique of genome-wide association analysis (RFA-HG-07-005). Such studies involve testing hundreds of thousands of genetic variants called single nucleotide polymorphisms (SNPs) throughout the genome in people with and without a condition of interest. eMERGE Phase I sought to answer the question of whether electronic medical record (EMR) systems and biorepositories can serve as resources for such complex genome-wide association studies (GWAS) of disease susceptibility and therapeutic outcomes.
eMERGE Phase II (August 2011 - July 2015) expanded the network to include nine study investigator sites (including two pediatric sites) and a coordinating center. In addition to the continuation of GWAS studies for genomic variant discovery, the consortium sought to explore the best avenues to incorporate genetics variants into EMR for use in clinical care, to improve genetic risk assessment, prevention, diagnosis, and treatment, as well as accessibility of genomic medicine (RFA-HG-10-009, RFA-HG-10-010, and RFA-HG-11-022). eMERGE Phase II continued to develop algorithms for electronic phenotyping and to identify genomic variants associated with those phenotypes. eMERGE Phase II conducted two sets of clinical implementation pilot studies: 1) site specific pilots, and 2) the eMERGE network pharmacogenomics (eMERGE PGx) project, which sequenced 84 pharmacogenomics candidate genes in over 9,000 participants. Consent, education, regulation and consultation - important issues related to the use of genomic data in clinical care - were also addressed.
eMERGE Phase III (September 2015 - May 2019) consists of nine study sites, two central sequencing and genotyping facilities, and a coordinating center. eMERGE III aims to continue to develop and validate electronic phenotyping algorithms for large-scale, high-throughput genomics research; to discover genetic variants related to complex traits; to disseminate results and lessons learned to the scientific community; and to deliver state-of-the-art genomic knowledge, methods, and approaches to clinical decision support and clinical care. More specifically, eMERGE Phase III aims to: 1) sequence and assess the phenotypic implication of rare variants in ~100 clinically relevant genes presumed to affect gene function in about 25,000 individuals; 2) assess the phenotypic implications of these variants, 3)integrate genetic variants into EMRs for clinical care; and 4) create community resources (RFA-HG-14-025, RFA-HG-14-026, RFA-HG-14-027). Work on the eMERGE PGx project from eMERGE II will also continue in eMERGE III. In addition, eMERGE III will continue to assess health impact, cost effectiveness, and ethical, legal and social implications of reporting genetic variants on a broader population scale for patients, clinicians and healthcare institutions.
As eMERGE has become increasingly well-known in the scientific community, a wide range of institutions have become interested in collaboration with eMERGE, especially since genomic research and return of genomic results have become more high profile. To facilitate collaboration, external institutions may apply for affiliate membership
to the eMERGE Network. Information about affiliate membership such as benefits, criteria for participation, and application process can be found at the eMERGE webpage.
| Working Group | Co-Chairs | Goals |
|---|---|---|
| Clinical Annotation Working Group | Heidi Rehm & Gail Jarvik |
|
| EHR Integration | Sandy Aronson & Casey Overby |
|
| Genomics | Sekar Kathiresan & Megan Roy-Puckelwartz |
|
| Outcomes and PGx | Hakon Hakonarson & Josh Peterson |
|
| Phenotyping | Josh Denny & George Hripcsak |
|
| Return of Results / ELSI | Ingrid Holm & Iftikhar Kullo |
|
| Institution | EMR System | Biobank Size | Biobank Size |
|---|---|---|---|
| Group Health, University of Washington | Epic EMR since 2003 | 8,073 participants | 6,259 |
| Harvard/Partners HealthCare | Internally developed EMR since 1997, Epic EMR since 2015 | 25,000 fully consented participants | 4,930 |
| Vanderbilt University | Internally developed EMR (StarChart) since the late 1990s | More than 210,000 participants | 27,173 |
| Cincinnati Children's Hospital Medical Center | Epic EMR | 59,289 patients | 6,103 |
| Geisinger Health System | Epic EMR since 1996 | >95,000 consented participants | 61,816 |
| Mayo Clinic | GE Centricity and Cerner | 60,000 participants | 7,881 |
| Columbia University | Allscripts inpatient/outpatient and iNYP customer platform | 26,310 individuals | 3,087 |
| Children's Hospital of Philadelphia | Epic EMR since 2001 | 80,000 participants | 8,633 |
| Northwestern University | Epic outpatient and Cerner inpatient EMRS | 11,667 participants | 6,513 |
Frequently Asked Questions
for the Electronic Medical Records and Genomics (eMERGE) Network, Phase III RFAs
Frequently Asked Questions
for RFA - HG-11-022: The Electronic Medical Records and Genomics (eMERGE) Network, Phase II - Pediatric Study Investigators (U01)
Frequently Asked Questions
for RFA - HG-10-009: The Electronic Medical Records and Genomics (eMERGE) Network, Phase II - Study Investigators (U01)
Rongling Li, NHGRI
Ken Wiley, NHGRI
Jyoti Gupta, NHGRI
Sheethal Jose, NHGRI
Last Updated: November 3, 2017
