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43 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Statistical Genetics II – New Models for Complex Study Designs — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Qiongshi Lu, University of Wisconsin-Madison
A Statistical Integration Framework for Model Organism Multi-Omics Data to Identify Target Genes of Human GWAS Variants
Chenyang Dong, University of Wisconsin-Madison; Mark Keller, University of Wisconsin-Madison; Shane Simonett, University of Wisconsin-Madison; Sunyoung Shin, University of Texas at Dallas; Donnie Stapleton, University of Wisconsin-Madison; Gary Churchill, The Jackson Laboratory; Alan Attie, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
A Comparative Analysis of Penalized Linear Mixed Models in Structured Genetic Data
Anna Reisetter, University of Iowa, Department of Biostatistics; Patrick Breheny, University of Iowa, Department of Biostatistics
Efficient SNP-Based Heritability Estimation Using Gaussian Predictive Process Modeling in Large-Scale Cohort Studies
Souvik Seal, University of Minnesota; Abhi Datta, Johns Hopkins University; Saonli Basu, Division of Biostatistics, University of Minnesota
Set-Based Genetic Association and Interaction Tests for Survival Outcomes Based on Weighted V Statistics
Chenxi Li, Michigan State University; Di Wu, Michigan State University; Qing Lu, University of Florida
Quantile Rank Test for Dynamic Heterogeneous Genetic Effects in Longitudinal Electronic Health Record Analysis
Tianying Wang, Columbia University; Iuliana Ionita-laza, Columbia University; Ying Wei, Columbia University; Chunhua Weng, Columbia University; Zixu Wang, Columbia University
A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank
Wenjian Bi, University of Michigan; Lars G Fritsche, University of Michigan; Bhramar Mukherjee, University of Michigan; Sehee Kim, University of Michigan; Seunggeun Lee, University of Michigan
Transfer Learning in Cross-Project Test
Shan Zhang, Michigan State University
A SVM-Based Ancestry Inference Method for Large-Scale Genetic Data
Zhennan Zhu, University of Virginia; Ani Manichaikul, University of Virginia; Maria Murach, University of Virginia; Catherine Robertson, University of Virginia; Suna Onengut-Gumuscu, University of Virginia; Stephen Rich, University of Virginia; Wei-Min Chen, University of Virginia