The PhenX Toolkit: Get the Most From Your Measures

Hamilton, Carol M.; Strader, Lisa C.; Pratt, J. G.; Maiese, Debbie; Hendershot, Tabitha; Kwok, Richard K.; Hammond, J; Huggins, Wayne; Jackman, D. M.; Pan, Huaqin; Nettles, Destiney S; Beaty, Terri H.; Farrer, Lindsay A.; Kraft, Peter; Marazita, Mary L.; Ordovás, José M.; Pato, Carlos N.; Spitz, M R; Wagener, D K; Williams, Matthew R.; Junkins, Heather; Harlan, W. R.; Ramos, Erin M.; Haines, Jonathan L.

doi:10.1093/aje/kwr193

articleAmerican Journal of EpidemiologyJul 11, 2011HYBRID OA

The PhenX Toolkit: Get the Most From Your Measures

CMCarol M. Hamilton LCLisa C. Strader JGJ. G. Pratt DMDebbie Maiese THTabitha Hendershot

RTI International

PubMed

Indexed incrossrefpubmed

Abstract

The potential for genome-wide association studies to relate phenotypes to specific genetic variation is greatly increased when data can be combined or compared across multiple studies. To facilitate replication and validation across studies, RTI International (Research Triangle Park, North Carolina) and the National Human Genome Research Institute (Bethesda, Maryland) are collaborating on the consensus measures for Phenotypes and eXposures (PhenX) project. The goal of PhenX is to identify 15 high-priority, well-established, and broadly applicable measures for each of 21 research domains. PhenX measures are selected by working groups of domain experts using a consensus process that includes input from the…

Citation impact

901

total citations

FWCI: 13.66
Percentile: 100%
References: 29

Citations per year

Authors

24

Topics & keywords

Topics

Keywords

Harmonization
Replication (statistics)
Computer science
Data science
Set (abstract data type)
Medicine

UN Sustainable Development Goals

Partnerships for the goals

No related works found for this paper.