Influence of control selection in genome-wide association studies: the example of diabetes in the Framingham Heart Study.

ABSTRACT: Epidemiologic study designs represent a major challenge for genome-wide association studies. Most such studies to date have selected controls from the pool of participants without the disease of interest at the end of the study time. These choices can lead to biased estimates of exposure effects. Using data from the Framingham Heart Study (Genetic Analysis Workshop 16 Problem 2), we evaluate the impact on genetic association estimates for designs with control selection based on status at the end of a study (case exclusion (CE) sampling) to control selection based on incidence density (ID) sampling, when controls are selected from the pool of participants who are disease-free at the time a case is diagnosed. Cases are defined as those diagnosed with type 2 diabetes (T2D). We estimated odds

SUBMITTER: Fradin DD 

PROVIDER: S-EPMC2795885 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature