Collaborate

Phenotyping Tools

One of the missions of the eMERGE Network is to share resulting best practices, expertise, and experience within and outside eMERGE and disseminate association findings, tools and best practices to the scientific community. You will find additional resources related to our phenotyping tools.

phekb_web

PheKB

The Phenotype Knowledgebase website, PheKB, is a collaborative environment to building and validating electronic phenotype algorithms. The PheKB has both a public component that allows you to view existing phenotypes and implementations, and a collaborative component that allows you to submit phenotypes, provide detail about implementations of a phenotype or add to existing phenotypes. For the collaborative component, you will need to register with the site.

PheKB Presentation (PPT)

 

 

PheWAS

Phenome-wide association studies (PheWAS) analyze many phenotypes compared to a single genetic variant (or other attribute). This method was originally described using electronic medical record (EMR) data from EMR-linked in the Vanderbilt DNA biobank, BioVU, but can also be applied to other richly phenotyped sets.  Download PheWAS code translation table and Perl CodeDownload PheWAS R package.   Synthesis-View, PheWAS-View and Phenogram provides visualization tools for genome and phenome-wide data. These tools are also offered via a web interface at http://visualization.ritchielab.psu.edu/.

 

OMOP

The eMERGE sites have translated their eMERGE cohorts into the OMOP Common Data Model, v5.2.

In the News

Here's what's happening with eMerge:

11
JUN

The NHGRI will hold a pre-application interactive Q&A webinar for the eMERGE Genomic Risk Assessment and Management Network funding opportunities on Thursday, June 13th at 1:00 pm-2:00 pm EST....

02
MAY

The CC is pleased to announce that the eMERGEseq Freeze 1 Dataset submission to dbGaP is now available and can be accessed online. The study has been added to our dbGaP study page. Study...

06
DEC

eMERGE Network is excited to share that Taryn Hall's project, Unfolding of hidden white blood cell count phenotypes for gene discovery using latent class mixed modeling; was published in Genes...

20
JUL

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...