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Activity Number: 514
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #313485 View Presentation
Title: Enhancing Genetic Case-Control Studies Using Sample Surveys
Author(s): Parichoy Pal Choudhury*+ and Daniel Scharfstein and Joshua M. Galanter and Chris R. Gignoux and Lindsey A. Roth and Sam S. Oh and Luisa N. Borrell and Esteban G. Burchard and Saunak Sen
Companies: Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Bloomberg School of Public Health and University of California, San Francisco and University of California, San Francisco and University of California, San Francisco and University of California, San Francisco and Lehmann College and University of California, San Francisco and University of California, San Francisco
Keywords: case-control study ; secondary phenotype ; association ; bias ; asthma ; obesity
Abstract:

Genetic case-control studies are useful for characterizing the association between a gene and case-control status, the so-called primary phenotype. In these studies, it is common for investigators to collect additional health outcomes, referred to as secondary phenotypes. It is often natural to ask about the association between a gene of interest and a secondary phenotype. We propose an inferential framework for learning about the association between a gene and a secondary phenotype, utilizing information from a case-control and a representative sample survey from a target population. By way of illustration, we study the relationship between a candidate gene (linked to asthma) and obesity and how this relationship differs by ethnicity. We use data from the GALA II study (an asthma case-control study in Latino American children) and the NHIS study (a national sample survey of children). Information from these two distinct data sources are combined to obtain asymptotically unbiased estimate of the standardized associations between the gene and obesity within ethnicity strata, which are then compared across the different ethnicities.


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