eMERGE HGSC-Clinical Laboratory

The Electronic Medical Records and Genomics (eMERGE) Phase III program of the National Institutes of Health aims 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.

eMERGE III consists of nine study sites, two central sequencing and genotyping facilities and a coordinating center. This portal is for sample uploads from sites served by the Human Genome Sequencing Center-Clinical Laboratory (HGSC-CL) and serves as a gateway to all data housed in the eMERGE Data Commons.

Investigators at 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.


  October 9, 2018

eMERGE Network is excited to share that Ian Stanaway’s project, The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype; was published in Genetic Epidemiology.

  July 20, 2018

eMERGE Network is excited to share that Dr. Douglas Pet’s project, Physicians Raise Concerns on Receiving Unsolicited Genomic Results; was published in Genetics in Medicine. The publication was also recently featured in...

  May 14, 2018

CDC’s new blog post: Precision Medicine in Action: How well does cascade screening for hereditary conditions work in the real world?

Posted on May 8, 2018 by W. David Dotson, Office of Public Health Genomics, Centers for Disease Control and Prevention, Megan C. Roberts, Division of Cancer Control and Population Sciences, National Cancer Institute and...

  April 23, 2018

eMERGE Network is excited to share that Dr. John Harley’s project, Transcription factors operate across disease loci, with EBNA2 implicated in autoimmunity; was published in Nature Genetics.