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Activity Details

667 Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-346
Statistical Genetics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Xiang Zhan, Fred Hutchinson Cancer Research Center
10:35 AM A Powerful Approach to Estimating Annotation-Stratified Genetic Correlation Using GWAS Summary Statistics Qiongshi Lu, Yale University ; Boyang Li, Yale University ; Derek Ou, Yale School of Medicine ; Yiming Hu, Yale University ; Ryan Powles, Yale University ; Tony Jiang, Yale College ; Margret Erlendsdottir, Yale School of Medicine ; David Chang, Yale University ; Chentian Jin, Yale College ; Wei Dai, Yale University ; Qidu He, Shanghai Jiao Tong University ; Zefeng Liu, Shanghai Jiao Tong University ; Shubhabrata Mukherjee, University of Washington ; Paul K. Crane, University of Washington ; Hongyu Zhao, Yale University
10:50 AM Small and Large Sample Bias of REML Estimates of Genomic Heritability Estimates: An Assessment Using Big Data Raka Mandal ; Gustavo De Los Campos, Michigan State University ; Alexander Grueneberg, Michigan State University ; Tapabrata Maiti, Michigan State University
11:20 AM Built-In BLUP Genotype Imputation of Adaptive-Weight Genetic Association Burden Test for Data with Complex Correlations Ting Guan ; Xiaowei Wu, Virginia Tech
11:35 AM Accounting for Spatial Variation in Phenotype Distribution in Sequencing Studies with Natural Thin Plate Spline Ye Ting Du, Harvard University ; Han Chen, University of Texas Health Science Center at Houston ; Xihong Lin, Harvard TH Chan School of Public Health
11:50 AM Joint Modeling of Genetically Correlated Diseases and Functional Annotations Increases Accuracy of Polygenic Risk Prediction Yiming Hu, Yale University ; Qiongshi Lu, Yale University ; Wei Liu, Peking University ; Yuhua Zhang, Shanghai Jiao Tong University ; Mo Li, Yale University ; Hongyu Zhao, Yale University
12:05 PM A Large-Scale Genome-Wide Enrichment Analysis Identifies New Trait-Associated Genes, Pathways and Tissues Across 31 Human Phenotypes Xiang Zhu, University of Chicago ; Matthew Stephens, University of Chicago
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