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Renfang Jiang

Michigan Technological University



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Jianping Dong

Michigan Technological University



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Yilin Dai

Michigan Technological University



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307 – SPEED: Epidemiological Research

Association Tests Using Common and Rare Variants and Family Data

Sponsor: Section on Statistics in Epidemiology
Keywords: rare variants, family data, complex traits, common variants, multiple markers

Renfang Jiang

Michigan Technological University

Jianping Dong

Michigan Technological University

Yilin Dai

Michigan Technological University

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.

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