JSM 2005 - Toronto

Abstract #303346

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 237
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303346
Title: A Novel Case-control Design: The GEM Study Experience
Author(s): Amanda Hummer*+ and Colin B. Begg and Marianne Berwick
Companies: Memorial Sloan-Kettering Cancer Center and Memorial Sloan-Kettering Cancer Center and The University of New Mexico
Address: 307 E 63rd Street, New York, NY, 10021, United States
Keywords: case-control ; genetic factors ; study design
Abstract:

In cancer epidemiology research, case-control studies are designed to identify risk factors associated with disease outcome. Typically, cases are incident primary cancers collected from population-based cancer registries and controls are healthy volunteers from the population. As the field of cancer epidemiology research has increasingly measured genetic factors, it is more difficult to consent healthy volunteers. In addition, the conventional case-control design does not have the power to study rare genetic risk factors, as these genes have a low frequency in the general population. A novel approach to this design is the use of incident-primary cases as the study base (i.e., controls) and to identify patients with subsequent primaries as the "cases" (Begg & Berwick 1997). By using this approach, we have enough power to study rare, "high-risk" genes as they are more prevalent in cancer patients. The Genes, Environment, and Melanoma (GEM) study is a prototype of this novel study design. We will discuss compromises made for the success of the study, statistical issues that arose as a result of the study design, and results addressing the validation of the design.

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Revised March 2005