eMERGE is a national network organized and funded by the
National Human Genome Research Institute (NHGRI) that combines DNA
biorepositories with electronic medical record (EMR) systems for large
scale, high-throughput genetic research in support of implementing genomic
medicine.
Many factors contribute to risk of a disease. Some of these factors are internal,
like genetics, and others are external, like where someone lives. Over the last several years
researchers have discovered that in addition to one gene being associated with a given
disease (monogenic factors), many genes across your genome can contribute to the development
of a disease (polygenic factors). To learn more about elements that contribute to risk a disease,
click here.
Latest News
From Cohorts to Clinics: The New Landscape of Global Healthcare – PRECISE-IHCC Conference 21-23 Aug 2024
July 7, 2024 2:24 PM
NCI Seeks Input on Existing Study Populations with Multi-Cancer Detection Test Results and Available Samples for Germline Testing
July 7, 2024 2:10 PM
Hybrid Workshop: Sustaining Community Engagement in Genomics Research
May 5, 2024 7:01 PM
MAGen NOFOs published
May 5, 2024 3:13 PM
NIH Funding Announcement: Research Opportunity Announcement (ROA) “Integrating Clinical Research into Primary Care Settings through Network Research Hubs – A Pilot (OT2)”
May 5, 2024 3:12 PM
Webinar: NIH Grants Process: Walk-Through for Beginners
May 5, 2024 7:47 PM
Recent Publications
Guare LA, Humphrey LA, Rush M, Pollie M, Setia-Verma S, et al. Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records. Research square. 2024 Sep 9;.
Lancaster MC, Chen HH, Shoemaker MB, Fleming MR, Below JE, et al. Detection of distant relatedness in biobanks to identify undiagnosed cases of Mendelian disease as applied to Long QT syndrome. Nature communications. 2024 Aug 29;15(1):7507.
McGrail C, Sears TJ, Kudtarkar P, Carter H, Gaulton K. Genetic association and machine learning improves discovery and prediction of type 1 diabetes. medRxiv : the preprint server for health sciences. 2024 Aug 2;.