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NIH

PhenX Project

PhenX Toolkit

Background

Genome-wide association (GWA) studies have identified hundreds of associations between genetic variants and complex human diseases, and for some diseases, such as diabetes and Crohn's disease, pooling of multiple GWA studies by meta-analysis has led to the discovery of new gene associations. However, most GWA studies have had relatively few phenotypic and exposure measures in common. Harmonizing data across studies that have used disparate measures to collect similar information is difficult and time consuming. Development and adoption of standard phenotypic and exposure measures could facilitate the creation of larger, more comprehensive datasets with a variety of phenotype and exposure data for cross-study analysis, thus increasing statistical power and the ability to detect associations of modest effect sizes and gene-gene and gene-environment interactions.

Recognizing the need for standard phenotypic and exposure measures, particularly as related to GWA studies, NHGRI initiated the PhenX Toolkit in 2006 through RFA-HG-07-006, "High-Priority Phenotype and Exposure Measures for Cross-Study Analysis in Genome-Wide Association Studies." The goal of this program is to identify and catalogue 15 high-quality, well-established, and broadly applicable measures for each of 21 research domains for use in GWA studies and other large-scale genomic research. A PhenX domain is a topic area with a unifying theme such as Demographics, Anthropometrics, Neurology, Cancer, or Social Environments. PhenX measures are selected by Working Groups of domain experts using a consensus process and are made available to the scientific community via the PhenX Toolkit (www.phenxtoolkit.org).

Project Structure

PhenX structure

 

 

  • The Steering Committee is the governing body for the PhenX program and includes the PhenX Principal Investigator (Carol Hamilton, Ph.D., RTI International), the NIH Project Scientist, and members of the extramural community with expertise in genomics, epidemiology, and biostatistics.
     

 

 

  • Steering Committee Chair: Jonathan Haines, Vanderbilt University (Chair) and William Harlan, National Institutes of Health (Co-Chair, retired)
     
  • The External Science Panel provides input to the NHGRI Director about the progress and direction of the PhenX Program.
     
  • The NIH IC Liaisons are scientists from the various NIH Institute and Centers (IC) that participate in shaping PhenX by providing content-specific input and overall guidance for the program.
     
  • PhenX Working Groups were assembled for each PhenX Domain (e.g., Demographics, Neurology, Social Environments) to select and prioritize the measures included in the PhenX Toolkit. Members of the Working Groups have expertise in phenotyping, epidemiology, and genomics.

Number of Measures and Toolkit Release Date for Each PhenX Domain

Domain Release Date Number of Measures
in PhenX Toolkit
Demographics Feb 2009 15
Alcohol, Tobacco, & Other Substances Feb 2009 14
Anthropometrics Mar 2009 16
Cardiovascular Sep 2009 14
Nutrition & Dietary Supplements Oct 2009 12
Environmental Exposures Oct 2009 14
Cancer Dec 2009 12
Oral Health Dec 2009 15
Respiratory Jan 2010 14
Ocular Feb 2010 15
Reproductive Health Feb 2010 14
Diabetes May 2010 15
Physical Activity & Physical Fitness May 2010 14
Psychiatric May 2010 14
Neurology May 2010 13
Infectious Diseases & Immunity Oct 2010 15
Skin, Bone, Muscle & Joint Oct 2010 10
Speech & Hearing Nov 2010 15
Psychosocial Nov 2010 15
Social Environments Dec 2010 15
Gastrointestinal Dec 2010 12

Manuscripts

Pan, H., Tryka, K., Vreeman, D., Huggins, W., Phillips, M., Mehta, J., Phillips, J., McDonald, C., Junkins, H., Ramos, E. & Hamilton, C. M. (2012) Using PhenX Measures to Identify Opportunities for Cross-Study Analysis. Human Mutation, 33(5):849-857. 2012. [PubMed]

Hendershot, T., Pan, H., Haines, J., Harlan, W., Junkins, H., Ramos, E., & Hamilton, C. M. Using the PhenX Toolkit to Add Standard Measures to Your Study. Current Protocols in Human Genetics, Chapter 1:Unit1.21. 2011. [PubMed]

Hamilton, C. M., Strader, L. C., Pratt, J., Maiese, D., Hendershot, T., Kwok, R., Hammond, J., Huggins, W., Jackman, D., Pan, H., Nettles, D., Beaty, T., Farrer, L., Kraft, P., Marazita, M., Ordovas, J., Pato, C., Spitz, M., Wagener, D., Williams, M., Junkins, H., Harlan, W., Ramos, E & Haines, J. Response to Invited Commentary: Consolidating Data Harmonization. American Journal of Epidemiology, 174 (3), 265-266. 2011. [Response in AJE]

Schad, P. A., L. R. Mobley, et al. Building a biomedical cyberinfrastructure for collaborative research. Am J Prev Med, 40(5 Suppl 2): S144-150. 2011. [PubMed]

Pathak J., Pan H., Wang, J., Kashyap, S., Schad, P., Hamilton, C. M., Masys, D. & Chute. Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects. American Medical Informatics Association (AMIA) Clinical Research Informatics (CRI) Summit Proceedings, 2011:41-5. 2011. [PubMed]

Hamilton CM, Strader LC, Pratt JG, Maiese D, Hendershot T, Kwok R, Hammond JA, Huggins W, Jackman D, Pan H, Nettles DS, Beaty TH, Farrer LA, Kraft P, Marazita M, Ordovas JM, Pato CN, Spitz MR, Wagener D, Williams M, Junkins HA, Harlan WR, Ramos EM, Haines J. The PhenX Toolkit: Get the Most From Your Measures. American Journal of Epidemiology, 2010. [PubMed]

Stover PJ, Harlan W, Hammond J, Hendershot T, Hamilton CM. PhenX: a toolkit for interdisciplinary genetics research. Current Opinion in Lipidology, 21(2):136-40. 2010. [PubMed]

 

PhenX RISING

PhenX Real World Sharing and Implementation of the PhenX Toolkit (PhenX RISING) 

Contacts

Erin M. Ramos, M.D., M.P.H.
Epidemiologist, Project Scientist

Heather A. Colley, M.S.
Health Science Analyst

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Last Updated: April 24, 2017