Phenotyping: Cohort Discovery Using EHR Data

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Phenotyping is the practice of developing algorithms designed to identify specific phenomic traits within an individual. These algorithms are created using multiple variables enabling researchers to accurately identify traits and perform analyses. Best practice materials and data standardizations tools have been developed to aid with phenotyping protocols and collaboration. Phenotyping also seeks to advance the science of de-identification, transportable  phenotyping methods, structure and standards, and portable components of algorithms and methods. Within the eMERGE network, phenotyping focuses both disease related and pharmacogenomic related phenotypes.

Phenotyping-related publications

Projects/ Studies

* Click here to view a listing of eMERGE Studies currently available in dbGaP.

In the News

Here's what's happening with eMerge:


An upcoming scheduled maintenance window is starting Tuesday, September 5th and ending Wednesday, September 6th. During this time, the RD Discover, SD Discover, Subject Locator and Record Counter applications...


The NIH/NHGRI has published IGNITE II RFAs which are linked below for your convenience.

  • Implementing Genomics in Practice (IGNITE) II: Pragmatic Clinical Trials – Clinical Groups...


CMS announced last week it will award up to $30 million in grant funding to clinical specialty societies, clinical professional organizations and independent research organizations to develop quality measures...


eMERGE is excited to share the results of the national multi-site survey it conducted to investigate public attitudes towards consent and data sharing in biobank research recently publish in AJHG.  For...