231732 Public health implications of the use of standard epidemiologic measures: The PhenX Toolkit

Tuesday, November 9, 2010 : 3:30 PM - 3:45 PM

Diane Wagener, PhD , Social, Statistical, and Environmental Sciences, RTI International, San Diego, CA
Richard K. Kwok, PhD , Epidemiology Branch, National Institutes of Environmental Health Sciences, Research Triangle Park, NC
Dean Jackman, PMP , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Michal Zmuda , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Wayne Huggins, PhD , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Amanda Flynn , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Ying Qin, MS , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Vesselina Bakalov, MS , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Helen Pan, PhD , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Destiney Nettles , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Joseph Pratt, MPM , Discovery and Analytical Sciences, RTI International, Research Triangle Park, NC
Deborah Maiese, MPA , Self-Employed, Arlington, VA
Lisa C. Strader, MPH , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
Carol M. Hamilton, PhD , Social, Statistical, and Environmental Sciences, RTI International, Research Triangle Park, NC
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. PhenX (consensus measures for Phenotypes and eXposures) seeks to facilitate cross-study analysis by providing a toolkit of common measures for researchers to use when designing genomics-based or epidemiologic studies.

The PhenX Toolkit provides 15 high-priority, well-established measures for each of 21 research domains. These measures are selected using a consensus process that relies on the deliberation of domain specific Working Groups and includes input from the broader scientific community. Investigators can visit the toolkit to add measures that are outside their primary research focus, thus broadening their study. Investigators can also review and select PhenX measures in their primary research area – to aid comparability with other studies. Both activities have the potential to greatly increase the overall impact of the study, due to increased opportunities for future cross-study analysis. Broad acceptance and use of PhenX measures should facilitate identification of genes associated with common diseases, as well as gene-gene and gene-environment interactions. This talk will include a discussion of the benefits of using standard measures in epidemiologic studies and demonstrate how to use the PhenX Toolkit.

The PhenX Toolkit can be found at: https://www.phenxtoolkit.org

Learning Areas:
Epidemiology
Other professions or practice related to public health
Public health biology
Public health or related research

Learning Objectives:
Evaluate the PhenX Toolkit for use in GWAS and epidemiologic studies.

Keywords: Genetics, Epidemiology

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am an expert in GWAS
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.