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Activity Number: 246
Type: Contributed
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #309083
Title: Binary Trait Analysis in Sequencing Studies with Trait-Dependent Sampling
Author(s): Zheng-Zheng Tang*+ and Danyu Lin
Companies: The University of North Carolina At Chapel Hill and Univ of North Carolina
Keywords: sequencing studies, binary secondary trait analysis
Abstract:

In sequencing study, it is a common practice to sample only the subjects with the extreme values of a quantitative trait. This is a cost-effective strategy to increase power in the association analysis. In the National Heart, Lung, and Blood Institute (NHLBI) Exome Sequencing Project (ESP), subjects with extremely high or low values of body mass index (BMI), low-density lipoprotein (LDL) or blood pressures (BP) were selected for whole-exome sequencing. For a binary trait of interest, the standard logistic regression-even adjust for the trait of sampling-can give misleading results. We present valid and efficient methods for association analysis under trait-dependent sampling. Our methods properly combine the association results from all studies and more powerful than the standard methods. The validity and efficiency of the proposed methods are demonstrated through extensive simulation studies and ESP real data analysis.


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