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Hum Mutat. 2012 May;33(5):849-57. doi: 10.1002/humu.22074. Epub 2012 Apr 3.

Using PhenX measures to identify opportunities for cross-study analysis.

Author information

  • 1RTI International, Research Triangle Park, NC 27709, USA. hpan@rti.org

Abstract

The PhenX Toolkit provides researchers with recommended, well-established, low-burden measures suitable for human subject research. The database of Genotypes and Phenotypes (dbGaP) is the data repository for a variety of studies funded by the National Institutes of Health, including genome-wide association studies. The dbGaP requires that investigators provide a data dictionary of study variables as part of the data submission process. Thus, dbGaP is a unique resource that can help investigators identify studies that share the same or similar variables. As a proof of concept, variables from 16 studies deposited in dbGaP were mapped to PhenX measures. Soon, investigators will be able to search dbGaP using PhenX variable identifiers and find comparable and related variables in these 16 studies. To enhance effective data exchange, PhenX measures, protocols, and variables were modeled in Logical Observation Identifiers Names and Codes (LOINC® ). PhenX domains and measures are also represented in the Cancer Data Standards Registry and Repository (caDSR). Associating PhenX measures with existing standards (LOINC® and caDSR) and mapping to dbGaP study variables extends the utility of these measures by revealing new opportunities for cross-study analysis.

PMID:
22415805
PMCID:
PMC3780790
DOI:
10.1002/humu.22074
[PubMed - indexed for MEDLINE]
Free PMC Article
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