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Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
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Activity Details

84 ! Sun, 8/3/2014, 4:00 PM - 5:50 PM CC-252B
Advances in Gene-Environement Interaction and Multi-Marker Association Detection — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Samantha R. Seals, University of Mississippi Medical Center   
4:04 PM An Adaptive Weighted Sum Test for Family-Based Multi-Marker Association Studies Renfang Jiang, Michigan Technological University ; Jianping Dong, Michigan Technological University ; Yilin Dai, Michigan Technological University
4:20 PM Correction for Sampling Structure Using Generalized Linear Mixed Models for Discrete and Continuous Phenotypes in Genome-Wide Association Studies Han Chen, Harvard School of Public Health ; Chaolong Wang, Harvard School of Public Health ; Xihong Lin, Harvard School of Public Health
4:35 PM General Framework for Rare Variant Analysis: Gene-Environment Interaction and Multiple Trait Analysis in Family Samples Wei Gao ; George T. O'Connor, Boston University School of Medicine ; Josée Dupuis, Boston University School of Public Health
4:50 PM Identifying Heterogenous Transgenerational DNA Methylation Sites via Clustering in Beta Regression Shengtong Han ; Hongmei Zhang, University of Memphis ; Gabrielle A. Lockett, University of Southampton ; Nandini Mukherjee, University of Memphis ; John W. Holloway, University of Southampton ; Wilfried Karmaus, University of Memphis
5:05 PM A General Meta-Analysis Approach for Haplotype Association Results in Family and Unrelated Samples Shuai Wang, Boston University ; Josée Dupuis, Boston University School of Public Health
5:20 PM Controlling Type I Error in Genome-Wide Investigations of Gene-Environment Interaction with Infrequent Environmental Exposures Colleen Sitlani, University of Washington ; Josée Dupuis, Boston University School of Public Health ; L. Adrienne Cupples, Boston University ; Kenneth Rice, University of Washington
5:35 PM Bayesian Topic Models for Soft Clustering of Metagenomic Count Data Daniel Conn, University of California, Los Angeles

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