Abstract Details
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Activity Number:
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495
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #311999
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Title:
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Gene-Level Meta-Analysis of Quantitative Traits by Functional Linear Models
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Author(s):
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Ruzong Fan*+ and Yifan Wang and Momiao Xiong
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Companies:
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NICHD and NICHD and University of Texas Health Science Center at Houston
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Keywords:
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association mapping ;
quantitative trait loci ;
meta-analysis ;
functional data analysis ;
rare variants ;
common variants
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Abstract:
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Functional linear models are developed for meta-analysis of multiple studies to connect genetic data to quantitative traits adjusting for covariates. An F-distribution test is introduced to test association between quantitative traits and multiple genetic variants in one gene region. Extensive simulations are performed to evaluate the robustness and power performance of the proposed models and tests. We show that the proposed F-distribution tests control the type I error very well and have higher power than the existing methods such as MetaSKAT. The proposed methods were applied to analyze real meta-analysis studies.
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Authors who are presenting talks have a * after their name.
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