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.
“Pathogenic variants in arteriopathy genes detected in a targeted sequencing study: Penetrance and 1-year outcomes after return of results” has been published in Genetics in Medicine
August 8, 2022 2:29 PM
Genomic Medicine XIV: Genomic Learning Healthcare Systems
July 7, 2022 7:00 PM
“Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations” published in Genome Medicine
July 7, 2022 4:57 PM
The All of Us is promoting two new funding opportunities designed to support data analysis using the Researcher Workbench
May 5, 2022 9:10 PM
Today in Nature Medicine: GenoVA Study Report
April 4, 2022 5:55 PM
NIH Cloud Platform Interoperability Administrative Coordinating Center
March 3, 2022 4:09 PM
Niarchou M, Sealock JM, Straub P, Sanchez-Roige S, Davis LK. A phenome-wide association study of polygenic scores for attention deficit hyperactivity disorder across two genetic ancestries in electronic health record data. American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics. 2022 Sep;189(6):185-195.
Mallard TT, Linnér RK, Grotzinger AD, Sanchez-Roige S, Harden KP, et al. Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities. Cell genomics. 2022 Jun 8;2(6).
Dikilitas O, Schaid DJ, Tcheandjieu C, Clarke SL, Kullo IJ. Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations. Current cardiology reports. 2022 Sep;24(9):1169-1177.