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Activity Number: 384
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 11:35 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #321623
Title: Association Tests Using Common and Rare Variants and family data
Author(s): Renfang Jiang* and Jianping Dong and Yilin Dai
Companies: Michigan Technological University and Michigan Technological University and Michigan Technological University
Keywords: rare variants ; family data ; complex traits ; common variants ; multiple markers

We developed two robust strategies to analyze association between complex traits and genetic regions. The first one is using both common and rare variants. Our goals are to treat common and rare variants separately, to avoid including non-causal variants in the study, and to distinguish the effects of deleterious and protective variants. Simulation results showed that the test has high power in different situations. The second one is a family based test. It based on the data driven weight to combine two test statistics, which would be a potentially powerful method for family-based genetic study of multiple markers and can also provide an alternative tool for the detection of underlying causal genetics variances. In our study, it achieves a higher power in most scenarios of LD structure and still keeps robustness to population stratification.

Authors who are presenting talks have a * after their name.

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