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Clopidogrel Poor Metabolizers

Note: Attached documents contain full case definition and two different control definitions.  One is for controls with 2 years of follow up, the other for controls with 1 year of follow up.  All available controls with 2 years of follow up were used in Vanderbilt's study.  The control population was supplemented by controls with only 1 year of follow up.  At the time of study, many of the available controls had experienced their qualifying events somewhat recently and 2 years had not yet passed for full follow up.

 

Owner Phenotyping Groups: 
VESPA - Vanderbilt Electronic Systems for Pharmacogenomic Assessment
View Phenotyping Groups: 
Denny’s Group at Vandy
VESPA - Vanderbilt Electronic Systems for Pharmacogenomic Assessment
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Colorectal Cancer (CRC)

A pheontype defining patients with strong evidence of having been diagnosed with colorectal cancer (cases) and patients who clearly do not have such diagnoses (controls).  This phenotype is being used for sequencing studies. The only NLP involved in this phenotype is a very simple string search applied to pathology reports.

Owner Phenotyping Groups: 
eMERGE GHC/University of Washington Group
View Phenotyping Groups: 
Clostridium Difficile Colitis Phenotype Group
Denny’s Group at Vandy
eMERGE CCHMC/BCH Group
eMERGE CHOP Group
eMERGE Columbia Group
eMERGE Geisinger Group
eMERGE GHC/University of Washington Group
eMERGE Harvard Group
eMERGE Marshfield Group
eMERGE Mayo Group
eMERGE Mount Sinai Group
eMERGE Northwestern Group
eMERGE Phenotype WG
eMERGE Vanderbilt Group
GPC
NIH Collaboratory Group
PCORI CDRN/PPRN
PCORI MidSouth CDRN
PGPop WG
PGx model group
PGx Workgroup
PheMA Test Group
Resistant hypertension WG
Vanderbilt - SD/RD Group
VESPA - Vanderbilt Electronic Systems for Pharmacogenomic Assessment
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Crohn's Disease - Demonstration Project

Crohn's Disease phenotype algorithm for the DNA DataBank Demonstration Project.  Case records are required to have more than 2 occurrences of ICD 9 codes and medications.  Control records are required to not have ICD 9 codes or keyword mention of crohn* or Regional enteritis and excludes additional phenotypes as defined by ICD 9 codes and keywords.

Data source summary:

 

Diagnostic Codes?

Owner Phenotyping Groups: 
Vanderbilt - SD/RD Group
View Phenotyping Groups: 
Vanderbilt - SD/RD Group
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Depression

Depression accounts for substantial morbidity and mortality worldwide and risk of experiencing it may have a genetic component.  Depressive disorders manifest along a gradient from mild to severe.[1]  Electronic health record (EHR) data linked to large, multi-site biobanks[2] facilitate exploration of the genetic component of depression.

Owner Phenotyping Groups: 
eMERGE GHC/University of Washington Group
View Phenotyping Groups: 
eMERGE Phenotype WG
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Developmental Language Disorder

APT-DLD
Version 1.0, July 2020

Automated Phenotyping Tool for identifying DLD cases in health-systems data (APT-DLD) is an algorithm for classifying/identifying developmental language disorder cases in electronic health records system data. APT-DLD can be used to:
1. Identify pediatric DLD cases from electronic health record systems using ICD9 and ICD10 codes
2. Study epidemiology and population-level charateristics of DLD from EHRs

The How-To guide for using APT-DLD is provided in the files listed below.

Owner Phenotyping Groups: 
Vanderbilt - Music Cognition Lab
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Digital Rectal Exam

Described in this document are the Stanford University algorithms for extracting both cases and controls of digital rectal examination (DRE) from electronic health records (EHR) of prostate cancer patients. DRE is a clinical procedure, part of a set of quality metrics used to determine quality care for these patients. In this regard, DRE is defined as quality care when it is performed within a time period of up to six months before first treatment for prostate cancer. For the purposes of this algorithm a case is defined as DRE documented, whereas a control is DRE not documented.

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