JSM 2015 Preliminary Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details

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CE_06C Sun, 8/9/2015, 8:00 AM - 12:00 PM S-Willow B
Integrative Analytics of Different Types of Genetic and Genomic Data Using Causal Mediation Modeling (ADDED FEE) — Professional Development Continuing Education Course
ASA , Section on Statistics in Genomics and Genetics
With the wide availability of genetic and genomic data, single-platform analyses such as data from genome-wide association studies and differentially expressed microarray studies have become fairly standard in biomedical research. They have identified numerous disease susceptibility genetic loci and gene signatures. Despite these successes, it is of increasing scientific interest to integrate multiplatform genetic and genomic data to investigate how different genomic features work together to affect a phenotypic trait and disease. Mediation analysis provides an attractive framework to investigate such a biological mechanism. This course provides an introduction to the causal mediation model and an overview of recent developments in integrative genomic analytics using this framework. Topics include a review of basic genomic biology, causal mediation modeling and its assumptions, framing integrative genomics as a mediation problem, statistical methods for integrating multiple genomic data, estimation and hypothesis testing for direction, indirect and total effects, statistical methods for mediation analysis of family genomic studies, integrated analyses for separate studies, and statistical methods for handling multiple mediators. Data examples will be provided and software will be discussed. Prerequisites are beginning graduate or senior undergraduate coursework in applied and mathematical statistics. Prior knowledge of biology or genetics is not required, but helpful.
Instructor(s): Xihong Lin, Harvard School of Public Health, Yen-Tsung Huang, Brown University




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