Literature DB >> 22415805

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

Huaqin Pan1, Kimberly A Tryka, Daniel J Vreeman, Wayne Huggins, Michael J Phillips, Jayashri P Mehta, Jacqueline H Phillips, Clement J McDonald, Heather A Junkins, Erin M Ramos, Carol M Hamilton.   

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.
© 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22415805      PMCID: PMC3780790          DOI: 10.1002/humu.22074

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  22 in total

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  16 in total

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9.  Research standardization tools: pregnancy measures in the PhenX Toolkit.

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10.  Feasibility of using Clinical Element Models (CEM) to standardize phenotype variables in the database of genotypes and phenotypes (dbGaP).

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