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.
NIH Opportunities: Information on Loan Repayment and Mosiac Program
August 8, 2021 2:39 PM
eMERGE Network: Updated Guidance on the Reporting of Race and Ethnicity in Medical and Science Journals (JAMA)
August 8, 2021 8:43 PM
RFI on Developing Consent Language for Future Use of Data and Biospecimens
July 7, 2021 3:27 PM
AIM-AHEAD Research Opportunity Announced
July 7, 2021 4:03 PM
New Investigators to Promote Workforce Diversity in Genomics, Bioinformatics, or Bioengineering and Biomedical Imaging Research (R01 Clinical Trial Optional)
July 7, 2021 4:32 PM
RFI: Broaden the Benefits of AI/ML Technologies to Reduce Health Disparities and Inequities and Enhance the Diversity of the AI/ML Workforce
June 6, 2021 7:53 PM
Dugan AJ, Nelson PT, Katsumata Y, Shade LMP, Fardo DW, et al. Analysis of genes (TMEM106B, GRN, ABCC9, KCNMB2, and APOE) implicated in risk for LATE-NC and hippocampal sclerosis provides pathogenetic insights: a retrospective genetic association study. Acta neuropathologica communications. 2021 Sep 15;9(1):152.
Yang G, Singh S, McDonough CW, Lamba JK, Gong Y, et al. Genome-wide Association Study Identified Chromosome 8 Locus Associated with Medication-Related Osteonecrosis of the Jaw. Clinical pharmacology and therapeutics. 2021 Aug 14;.
Pathak GA, Singh K, Miller-Fleming TW, Wendt FR, Mancuso N, et al. Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization. Nature communications. 2021 Jul 27;12(1):4569.