JSM 2004 - Toronto

Abstract #300148

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Activity Number: 207
Type: Invited
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300148
Title: Outcome-dependent sSampling in Genetic Studies of Dichotomous and Quantitative Traits
Author(s): Clarice R. Weinberg*+ and Emily Kistner and David M. Umbach and Claire Infante-Rivard
Companies: National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and McGill University
Address: MD A3-03, Research Triangle Park, NC, 27709,
Keywords: transmission disequilibrium test ; quantitative traits ; logistic regression ; genetics ; family studies ; linkage disequilibrium
Abstract:

Studies that aim to identify alleles that are in linkage disequilibrium with a locus related to a dichotomous trait, such as a disease, or a quantitative trait, e.g., adiposity, can make use of genotype data from individuals and their parents. If the condition under study is dichotomous, a log-linear model can be employed to detect apparent departures from Mendelian transmission of a variant allele from parents to affected offspring. Such a design is outcome-dependent, because no population controls are required at all. The design offers robustness against bias due to genetic population stratification. When the outcome is quantitative, an extension of the log-linear model can be used, where the quantitative trait value is treated as a predictor in a polytomous logistic model. Selection of individuals with extreme values of the measured trait can enhance power of such a study. We provide results of simulations that reveal the enhancement that is possible with outcome-dependent sampling, and apply the method to data from a case-control study of intra-uterine growth retardation.

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