Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

21 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-109
Aligning Data Normalization with Analysis Goals for Reproducible Research — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yize Zhao, Weill Cornell Medical College
2:05 PM	On the ‘Off-Label’ Use of Data Normalization for Sample Classification and Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University; Mengling Liu, New York University
2:25 PM	Batch Effects Correction with Unknown Subtypes with Application to Paired MicroRNA Data Sets Yingying Wei, The Chinese University of Hong Kong; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:45 PM	Multiple Testing Under Dependence and Non-Sparsity with Applications in Genomics and Toxicology Hongyuan Cao, Florida State University; Shyamal Peddada, University of Pittsburgh; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
3:05 PM	Discussant: Lisa McShane, National Cancer Institute
3:25 PM	Discussant: George Tseng, University of Pittsburgh
3:45 PM	Floor Discussion

40 *	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-101
Statistical Methods for Microbiome and Tumor Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Zhigang Li, University of Florida
2:05 PM	Discriminative Factor Model for Microbiome Analysis Presentation Yiwen Liu, Duke University; Peter Merrill, Duke Clinical Research Institute; Noelle Younge, Duke University School of Medicine; C. Michael Cotten, Duke University School of Medicine; Ricardo Henao, Duke University
2:20 PM	A Novel Normalization and Differential Abundance Test Framework for Microbiome Data Presentation Yuanjing Ma; Yuan Luo, Northwestern University ; Hongmei Jiang, Northwestern University
2:35 PM	A Bayesian Framework for Uncovering Association Between Microbial Composition and Host Phenotypes Subhajit Sengupta, NorthShore University HealthSystem; Riten Mitra, University of Louisville; Robert Butler III, NorthShore University HealthSystem; Abhishek Bhattacharjee, University of Northern Colorado; Pablo Gejman, NorthShore University HealthSystem
2:50 PM	A Hidden Markov Modeling Approach for Identifying Tumor Subclones in Next-Generation Sequencing Studies Presentation BIN ZHU, NIH/NCI; HYOYOUNG CHOO-WOSOBA, NCI; Paul Albert , National Cancer Insititute
3:05 PM	Predicting Cancer Immunotherapy Treatment Response with Neoantigen Burden Laura Zhou, University of North Carolina at Chapel Hill ; Fei Zou, University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center
3:20 PM	Predictive Models for Detecting Association Between MiRNAs and Lympho Vascular Invasion Moumita Karmakar, Texas A&M University; Pei-chun Lai, Texas A&M University; Samiran Sinha, Texas A&M University; Sanjukta Chakraborty, Texas A&M University
3:35 PM	A Mixed-Model Approach for Powerful Testing of Genetic Associations with Cancer Risk Incorporating Tumor Characteristics Haoyu Zhang, Johns Hopkins University; Ni Zhao, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; William Wheeler, Information Management Services, Inc.; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University

58 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-102
Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era — Invited Panel
Section on Statistics in Genomics and Genetics, WNAR, International Chinese Statistical Association
Organizer(s): Haiyan Huang, University of California, Berkeley
Chair(s): Ruixiao Lu, Genomic Health, Inc.
4:05 PM	Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	Bin Chen, Michigan State University Haoda Fu, Eli Lilly and Company Jean Yee Hwa Yang, University of Sydney, Australia Jing Huang, Veracyte Inc. Ying Lu, Stanford University
5:45 PM	Floor Discussion

102 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-110
Challenges and Developments in Microbiome Data Science — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, WNAR
Organizer(s): Zhengzheng Tang, University of Wisconsin-Madison
Chair(s): Long Wang, Johns Hopkins University
8:35 AM	It’s Just a Matter of Perspective - Robust Regression for Microbiome Data via Perspective M-Estimation Christian Lorenz Mueller, Flatiron Institute, Simons Foundation
9:00 AM	Modeling Evolutionary Dynamics of Bacteria in the Human Microbiome Katherine S. Pollard, ASA
9:25 AM	Beta-Diversity Discriminatory Power: Comparison of PERMANOVA, Mirkat, and Using Standard Microbiome Reference Groups Presentation Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yunhu Wan, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:50 AM	Robust and Powerful Differential Composition Tests on Clustered Microbiome Data Zhengzheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:15 AM	Floor Discussion

126	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-105
SPEED: New Methods in Statistical Genomics and Genetics Part 1 — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Tianzhong Yang, The University of Minnesota Twin Cities
Poster Presentations for this session.
8:35 AM	Comparing Performance of Gene Set Test Methods Using Biologically Relevant Simulated Data Presentation Richard Lambert, Utah State University; John Stevens, Utah State University
8:40 AM	A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, with False Discovery Rate Control Yunxiao Li, Emory University; Yijuan Hu, Emory University; Glen Alan Satten, Centers for Disease Control and Prevention
8:45 AM	A Generalized Multi-Response Permutation Procedure to Evaluate Associations of Multivariate Data with Quantitative and Censored-Event Time Variables Presentation Stanley Pounds, St. Jude Children's Research Hospital; Natasha Sahr, St. Jude's Children's Hospital; Xueyuan Cao, University of Tennessee Health Science Center
8:50 AM	The Robust Kernel Association Test Kara Martinez, North Carolina State University
8:55 AM	Regularized Regression by Graph Propagation for Genomic Data Analysis Presentation Han Yu, Roswell Park Comprehensive Cancer Center; Rachael Hageman Blair, the State University of New York at Buffalo
9:00 AM	Assessing Exposure Effects on Gene Expression Using Inverse Probability Weighting and the Parametric G-Formula Sarah Reifeis, University of North Carolina at Chapel Hill; Michael Hudgens, University of North Carolina at Chapel Hill; Michael Love, UNC-Chapel Hill; Karen Mohlke, University of North Carolina at Chapel Hill; Melissa Troester, University of North Carolina at Chapel Hill
9:05 AM	Methods for Handling Correlated Covariates in Integrative Genomics Analysis Presentation Lauren Spirko-Burns; Karthik Devarajan, Fox Chase Cancer Center; Camille Ragin, Fox Chase Cancer Center
9:10 AM	OncoCast: An Improved Interface for Survival Analysis Using Genomic Data Presentation 1 Presentation 2 Axel Martin, Memorial Sloan Kettering Cancer Center
9:15 AM	Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data Presentation Hani Aldirawi, UIC
9:20 AM	Bayesian Inference for Reconstructing Intra-Tumor Phylogeny Presentation Tingting of Zhai, University of Kentucky; Jinpeng of Liu, University of Kentucky; Chi of Wang, University of Kentucky
9:35 AM	Efficient Estimation of Ancestry Proportions Using Genotype Frequencies Presentation Jordan Hall, University of Colorado Denver; Megan Sorenson, University of Colorado Denver; Ryan Scherenberg; Alexandria Ronco, University of Colorado Denver; Yinfei Wu, University of Colorado Denver; James Vance, University of Colorado Denver; Jinyan Lyu, University of Colorado Denver; Christopher Gignoux, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
9:40 AM	Likelihood Based Mixture Modeling of Genetic Regulatory Networks Presentation David S. Burton, University of Rochester Biostatistics; Matthew N McCall, University of Rochester Medical Center
9:45 AM	Control Confounding by Familial Relatedness in Genome-Wide Association Studies Annie J Lee, Columbia University; Donglin Zeng, UNC Chapel Hill; Badri N Varadarajan, Columbia University; Karen Marder, Columbia University ; Yuanjia Wang, Columbia University
9:50 AM	A Powerful and Versatile Colocalization Test Yangqing Deng, University of Minnesota
9:55 AM	The Rabl Configuration Limits Topological Entanglement of Chromosomes in Budding Yeast Presentation Maxime Pouokam, UC Davis Statistics Club
10:00 AM	OASW Clustering Fatima Batool
10:05 AM	Comparing Methods for Familial Relationship Inference in Populations with Complex Demographic History Presentation Daniel Yorgov, Purdue University Fort Wayne
10:10 AM	On Simulating Ultra High-Dimensional Multivariate Data Presentation Alfred Schissler, University of Nevada, Reno

137 *	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-113
Statistical Methods for Analyzing Genetic Variants and QTLs — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Zheng Xu, University of Nebraska-Lincoln
8:35 AM	Cross-Tissue EQTL Calling via Surrogate Expression Analysis Presentation Zachary R McCaw, Harvard T.H. Chan School of Public Health; Sheila Gaynor, Harvard T.H. Chan School of Public Health; Ryan Sun, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
8:50 AM	Phylogenetic Derivative: a Tool for Assessing Local Tree Reconstruction Presentation Katherine Thompson, University of Kentucky; Jacque Kane, Hobart and William Smith Colleges; Haixin Liu, Hobart and William Smith Colleges; Joseph Rusinko, Hobart and William Smith Colleges
9:20 AM	Omnibus Weighting Incorporating Multiple Functional Annotations for Whole Genome Sequencing Rare Variant Association Studies Xihao Li, Harvard T.H. Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Hufeng Zhou, Harvard University; Sheila Gaynor, Harvard T.H. Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Han Chen, the University of Texas Health Science Center at Houston; Alanna C. Morrison, University of Texas School of Public Health; Eric Boerwinkle, University of Texas School of Public Health; Xihong Lin, Harvard
9:35 AM	Flexible Approach for Gene-Level Genetic Analysis via Combinations of Summary Statistics Dmitri Zaykin, National Institute of Environmental Health Sciences; Olga Vsevolozhskaya, University of Kentucky
9:50 AM	Statistical Inference for Gene-Level Analysis Based on Functional Linear Models Presentation Olga Vsevolozhskaya, University of Kentucky; Adam Dugan, University of Kentucky; David Fardo, University of Kentucky; Dmitri Zaykin, National Institute of Environmental Health Sciences
10:05 AM	Pathway Association Analysis Under High Dimensions Yang Liu, Wright State University; Qianchuan He, Fred Hutchinson Cancer Research Center

140 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-203
Frontiers of Statistical Genetics: Genomics, Transcriptomics, and PheWAS — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
10:35 AM	Weighted Hypothesis Testing Accounting for Correlated Predictors Li Hsu, Fred Hutchinson Cancer Research Center, USA
11:00 AM	Scalable and Accurate Association Analysis for Big Biobank Data Presentation 1 Presentation 2 Seunggeun Lee, University of Michigan
11:25 AM	Mediation Analyzes for Dissecting the Role of DNA Methylation in Epidemiologic Studies Presentation James Dai, Fred Hutchinson Cancer Research Center
11:50 AM	Predictive Modeling of Transcriptomics in Ancestrally Diverse Populations Presentation Timothy Thornton, University of Washington; Anya Mikhaylova, Universtiy of Washington
12:15 PM	Floor Discussion

156 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-709
Statistical Interactions – Making an Impact in Health Science — Topic Contributed Papers
Section on Risk Analysis, International Indian Statistical Association, Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics
Organizer(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM	Identification of Gene-Gene and Gene-Environment Interactions in Genetic Association Studies Presentation Charles Kooperberg, Fred Hutchinson Cancer Research Center
10:55 AM	Detection of Set-Based Gene-Environment Interactions for Substance Use Disorders Presentation Saonli Basu, University of Minnesota, Biostatistics SPH; Brandon Coombes, Mayo Clinic; Matt McGue, University of Minnesota
11:15 AM	Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using an Empirical Bayes-Type Shrinkage Estimator Summer Han, Stanford University; Matthieu de Rochemonteix, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM	Statistical Interaction and Mendelian Randomization: What They Have in Common? Presentation Mariza de Andrade, Mayo Clinic
11:55 AM	Estimating Additive Interaction Effect in Stratified Two-Phase Case-Control Design Ai Ni, The Ohio State University; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
12:15 PM	Floor Discussion

180 *	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-210/212
Statistical Methods for Functional Genomic and Epigenomic Data — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health
10:35 AM	Detection and Classification of Changes in Protein-DNA Binding Activity with Applications in Diffuse ChIP-Seq Data Pedro L. Baldoni, University of North Carolina At Chapel Hill; Naim U. Rashid, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
10:50 AM	Cross-Platform Prediction of Regulatory Activities Presentation Runzhe Li, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
11:05 AM	A Change-Point Approach to Identify Hierarchical Organization of Topologically Associated Domains in Hi-C Data Yingru Wu, SUNY Stony Brook; Haipeng Xing, SUNY Stony Brook; Yong Chen, UT Dallas; Michael Q. Zhang, UT Dallas
11:20 AM	SpectralTAD: Defining Hierarchy of Topologically Associated Domains Using Graph Theoretical Clustering Presentation Mikhail Dozmorov, Virginia Commonwealth University; Kellen Cresswell, Virginia Commonwealth University; John Stansfield, Virginia Commonwealth University
11:35 AM	Exploring Functional Data Analysis to Identify Differentially Methylated Regions in Plants Presentation Mohamed Milad, Arkansas State University , Jonesboro; Gayla Olbricht, Missouri Science and Technology University
11:50 AM	Identifying Patterns of Multi-Genetic/Epigenetic Factors via Non-Parametric Clustering Meredith Ray, University of Memphis; Lauren Sobral, University of Memphis; S. Hasan Arshad, University of Southampton; John Holloway, University of Southampton; Wilfried JJ Karmaus, University of Memphis; Hongmei Zhang, University of Memphis
12:05 PM	Multiple-Gene Targeting and Mismatch Tolerance Can Confound Analysis of Genome-Wide Pooled CRISPR Screens Jean-Philippe Fortin, Genentech; Jenille Tan, Genentech; Karen Gascoigne, Genentech; Peter Haverty, Genentech; William Forrest, Genentech, Inc; Michael Costa, Genentech; Scott Martin, Genentech

182	Mon, 7/29/2019, 10:30 AM - 11:15 AM	CC-Hall C
SPEED: New Methods in Statistical Genomics and Genetics Part 2 — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Comparing Performance of Gene Set Test Methods Using Biologically Relevant Simulated Data Richard Lambert, Utah State University; John Stevens, Utah State University
22:	A Bottom-Up Approach to Testing Hypotheses That Have a Branching Tree Dependence Structure, with False Discovery Rate Control Yunxiao Li, Emory University; Yijuan Hu, Emory University; Glen Alan Satten, Centers for Disease Control and Prevention
23:	A Generalized Multi-Response Permutation Procedure to Evaluate Associations of Multivariate Data with Quantitative and Censored-Event Time Variables Stanley Pounds, St. Jude Children's Research Hospital; Natasha Sahr, St. Jude's Children's Hospital; Xueyuan Cao, University of Tennessee Health Science Center
24:	The Robust Kernel Association Test Kara Martinez, North Carolina State University
25:	Regularized Regression by Graph Propagation for Genomic Data Analysis Han Yu, Roswell Park Comprehensive Cancer Center; Rachael Hageman Blair, the State University of New York at Buffalo
26:	Assessing Exposure Effects on Gene Expression Using Inverse Probability Weighting and the Parametric G-Formula Sarah Reifeis, University of North Carolina at Chapel Hill; Michael Hudgens, University of North Carolina at Chapel Hill; Michael Love, UNC-Chapel Hill; Karen Mohlke, University of North Carolina at Chapel Hill; Melissa Troester, University of North Carolina at Chapel Hill
27:	Methods for Handling Correlated Covariates in Integrative Genomics Analysis Lauren Spirko-Burns; Karthik Devarajan, Fox Chase Cancer Center; Camille Ragin, Fox Chase Cancer Center
28:	OncoCast: An Improved Interface for Survival Analysis Using Genomic Data Axel Martin, Memorial Sloan Kettering Cancer Center
29:	Identifying Appropriate Probabilistic Models for Sparse Discrete Omics Data Hani Aldirawi, UIC
30:	Bayesian Inference for Reconstructing Intra-Tumor Phylogeny Tingting of Zhai, University of Kentucky; Jinpeng of Liu, University of Kentucky; Chi of Wang, University of Kentucky
31:	WITHDRAWN: PasLINCS: Pathway Activity Signatures from LINCS L1000 Consensus Gene Signatures Yan Ren, University of Cincinnati; Siva Sivaganesan, University of Cincinnati; Nicholas Clark, University of Cincinnati; David Plas, University of Cincinnati; Mario Medvedovic, University of Cincinnati
32:	Efficient Estimation of Ancestry Proportions Using Genotype Frequencies Jordan Hall, University of Colorado Denver; Megan Sorenson, University of Colorado Denver; Ryan Scherenberg; Alexandria Ronco, University of Colorado Denver; Yinfei Wu, University of Colorado Denver; James Vance, University of Colorado Denver; Jinyan Lyu, University of Colorado Denver; Christopher Gignoux, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
33:	Likelihood Based Mixture Modeling of Genetic Regulatory Networks David S. Burton, University of Rochester Biostatistics; Matthew N McCall, University of Rochester Medical Center
35:	A Powerful and Versatile Colocalization Test Yangqing Deng, University of Minnesota
36:	The Rabl Configuration Limits Topological Entanglement of Chromosomes in Budding Yeast Maxime Pouokam, UC Davis Statistics Club
37:	OASW Clustering Fatima Batool
38:	Comparing Methods for Familial Relationship Inference in Populations with Complex Demographic History Daniel Yorgov, Purdue University Fort Wayne
39:	On Simulating Ultra High-Dimensional Multivariate Data Alfred Schissler, University of Nevada, Reno
40:	Control Confounding by Familial Relatedness in Genome-Wide Association Studies Annie J Lee, Columbia University; Donglin Zeng, UNC Chapel Hill; Badri N Varadarajan, Columbia University; Karen Marder, Columbia University ; Yuanjia Wang, Columbia University
Oral Presentations for this session.

205	Mon, 7/29/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics in Genomics and Genetics P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Genomics and Genetics
Organizer(s): Qiongshi Lu, University of Wisconsin-Madison
ML16:	Omics Data Integration: Why and How? Ali Shojaie, University of Washington

225 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-710
The Human Microbiome: From Discovery Studies to Statistical Predictive Personalized Medicine — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Yi-Hui Zhou, North Carolina State University
Chair(s): Wenxuan Zhong, University of Georgia
2:05 PM	The Machine Learning Methods Review for Microbiome Host Trait Prediction Yi-Hui Zhou, North Carolina State University
2:25 PM	A Zero?Inflated Beta?Binomial Model for Microbiome Data Analysis Tao Hu, Clindata Insight Inc.
2:45 PM	Predictive Modeling of Microbial Community Data Using Phylogeny-Regularized Regression Models Jun Chen, Mayo Clinic
3:05 PM	Meta-Analysis of Large Metagenomic Data Sets at Strain-Level Resolution Presentation Edoardo Pasolli, University of Naples Federico II
3:25 PM	Discussant: Fred A Wright, North Carolina State University
3:45 PM	Floor Discussion

233 !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-712
Innovative Approaches for High-Dimensional Omics and Neuroimaging Data — Topic Contributed Papers
International Indian Statistical Association, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
2:05 PM	Are We There Yet: Differential Analysis of Single-Cell RNA Sequencing Data? Susmita Datta, ASA Committee on Women in Statisitcs
2:25 PM	Expression-Level-Dependent Correlation Structure Estimation for Repeated-Measures RNA-Seq Data Presentation Dan Nettleton, Iowa State University; Meiling Liu, Iowa State University
2:45 PM	Efficient Approaches for Dynamic Modeling of Multivariate Time Series Raquel Prado, UC Santa Cruz-Baskin School of Engineering
3:05 PM	Mediation Analysis for Zero-Inflated Mediators Presentation Zhigang Li, University of Florida; Janaka Peragaswaththe Liyanage, University of Florida; A. James O'Malley, Dartmouth College; Susmita Datta, ASA Committee on Women in Statisitcs
3:25 PM	Nonparametric Bayes Multiresolution Testing for Detecting Rare Variants Jyotishka Datta, University of Arkansas; David Dunson, Duke University
3:45 PM	Floor Discussion

234	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-707
Novel Statistical Methods for High-Dimensional Microbiome and Metagenomics Data Analysis — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Chan Wang, Division of Biostatistics, NYU School of Medicine
Chair(s): Jiyuan Hu, New York Unversity School of Medicine
2:05 PM	Analyzing Matched Sets of Microbiome Data Using LDM Presentation Yijuan Hu, Emory University; Zhengyi Zhu, Emory University; Caroline Mitchell, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Harvard Medical S; Glen Alan Satten, Centers for Disease Control and Prevention
2:25 PM	Association Testing and Feature Selection for Microbiome and Host Genomics Anna Plantinga, Williams College; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:45 PM	Multivariable Association in Population-Scale Meta'omic Surveys Himel Mallick, Merck & Co., Inc.; Timothy Tickle, Broad Institute; Lauren McIver, Harvard University; Gholamali Rahnavard, Broad Institute; Long Nguyen, Massachusetts General Hospital; George Weingart, Harvard University; Siyuan Ma, Harvard University; Boyu Ren, Harvard University; Emma Schwager, Harvard University; Ayshwarya Subramanian, Broad Institute; Joseph Paulson, Genentech; Eric A. Franzosa, Harvard University; Hector Corrada Bravo, University of Maryland; Curtis Huttenhower, Harvard University
3:05 PM	Robust Regression for Microbiome Data Analysis Presentation 1 Presentation 2 Aditya Mishra, Flatiron Institute; Christian Lorenz Mueller, Flatiron Institute, Simons Foundation
3:25 PM	Estimating and Testing the Microbial Causal Mediation Effect with High-Dimensional and Compositional Microbiome Data Presentation Chan Wang, Division of Biostatistics, NYU School of Medicine; Jiyuan Hu, New York Unversity School of Medicine; Martin Blaser, New York University School of Medicine and Rutgers University; Huilin Li, NYU School of Medicine
3:45 PM	Floor Discussion

237	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-501
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 1 — Contributed Speed
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Poster Presentations for this session.
2:05 PM	Multivariate Association Analysis with Correlated Traits in Families Presentation Souvik Seal, Division of Biostatistics, University of Minnesota
2:10 PM	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Presentation Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
2:15 PM	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Presentation Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
2:20 PM	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
2:25 PM	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
2:25 PM	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
2:30 PM	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
2:35 PM	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
2:40 PM	Trait Evolution on Two Gene Trees Presentation James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
2:45 PM	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
2:50 PM	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
3:00 PM	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Presentation Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
3:05 PM	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
3:10 PM	Fully Bayesian Imputation Model for MNAR Data in QPCR Presentation Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
3:15 PM	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Presentation Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
3:20 PM	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Presentation Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
3:25 PM	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Presentation Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
3:30 PM	A New Sparse Network Model for High-Throughput Count Data Presentation Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
3:35 PM	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Presentation Shuang Jiang, Southern Methodist University
3:45 PM	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center

267	Tue, 7/30/2019, 7:00 AM - 8:15 AM	H-Centennial Ballroom G-H
Section on Statistics in Genomics and Genetics A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics in Genomics and Genetics
Organizer(s): Qiongshi Lu, University of Wisconsin-Madison
TL06:	WITHDRAWN: Estimation and Inference of Heteroskedasticity Models with Latent Semiparametric Factors for Multivariate Time Series Lyuou Zhang

279 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-207
Bioinformatics: Accomplishments and Challenges — Invited Papers
Caucus for Women in Statistics, Section on Statistics in Genomics and Genetics, Section on Statistical Learning and Data Science
Organizer(s): Nusrat Jahan, James Madison University
Chair(s): Nusrat Jahan, James Madison University
8:35 AM	Optimal Permutation Recovery and Estimation of Bacterial Growth Dynamics Presentation Hongzhe Li, University of Pennsylvania
9:00 AM	Estimating Somatic Variant Richness in the Cancer Genome Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Saptarshi Chakraborty, Memorial Sloan-Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center
9:25 AM	Integrative Network Modeling Approaches to Precision Cancer Medicine Kim-Anh Do, University of Texas M.D. Anderson Cancer Center
9:50 AM	Statistical Inference of Chromatin 3D Structures from DNA Methylation Data Shili Lin, The Ohio State University
10:15 AM	Floor Discussion

287 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-113
Advanced Stochastic Models and Inference Methods for Large-Scale Phylogenetics — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Computing, Section on Statistics in Epidemiology
Organizer(s): Guy Baele, Rega Institute / KU Leuven
Chair(s): Mandev Gill, Rega Institute, KU Leuven
8:35 AM	Fast and Robust Evolutionary Rate and Selection Pressure Inference Using Variational Bayes Techniques Presentation Sergei Pond, Temple University
8:55 AM	Modeling Site-To-Site Variability of Synonymous Substitution Rates: Impacts on Statistical Inference Spencer Muse, North Carolina State University; Sadie Wisotsky, Temple University; Sergei Kosakovsky Pond, Temple University
9:15 AM	Fitness-Dependent Birth-Death Models for Phylodynamic Inference of Adaptive Evolution Presentation David Rasmussen, North Carolina State University; Tanja Stadler, ETH Zurich
9:35 AM	Towards Realtime Bayesian Inference for Pathogen Phylodynamics Presentation Guy Baele, Rega Institute / KU Leuven; Mandev Gill, Rega Institute, KU Leuven; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, UCLA; Andrew Rambaut, University of Edinburgh
9:55 AM	Floor Discussion

310	Tue, 7/30/2019, 9:25 AM - 10:10 AM	CC-Hall C
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 2 — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Oral Presentations for this session.
1:	Multivariate Association Analysis with Correlated Traits in Families Souvik Seal, Division of Biostatistics, University of Minnesota
2:	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
3:	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
4:	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
5:	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
6:	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
7:	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
8:	Trait Evolution on Two Gene Trees James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
9:	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
10:	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
11:	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
12:	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
13:	Fully Bayesian Imputation Model for MNAR Data in QPCR Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
14:	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
15:	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
16:	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
17:	A New Sparse Network Model for High-Throughput Count Data Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
18:	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Shuang Jiang, Southern Methodist University
19:	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
20:	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center
Oral Presentations for this session.

351 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-101
Statistical Methods for Single-Cell Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Lingling An, University of Arizona
10:35 AM	Feature Selection and Dimension Reduction for Single Cell RNA-Seq Based on a Multinomial Model Presentation Frederick William Townes, Harvard Biostatistics; Martin Aryee, Massachusetts General Hospital; Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health; Rafael Irizarry, Harvard University
10:50 AM	SCINA: Semi-Supervised Analysis of Single Cells in Silico Presentation 1 Presentation 2 Ze Zhang, University of Texas Southwestern Medical Center at Dallas; Tao Wang, University of Texas Southwestern Medical Center; Payal Kapur, University of Texas Southwestern Medical Center; Xinlei Wang, Southern Methodist University; Gary Hon, University of Texas Southwestern Medical Center; James Brugarolas, University of Texas Southwestern Medical Center
11:05 AM	Flexible Experimental Designs for Valid Single-Cell RNA-Sequencing Experiments Allowing Batch Effects Correction Fangda Song, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:20 AM	Correcting Batch Effects in Single Cell RNA Sequencing Data Using Sparse Supervised Canonical Correlation (SCCA) Analysis Wenlan Zang, Yale’s Section of Pulmonary, Critical Care, and Sleep Medicine (Yale-PCCSM); Michael Kane, Yale; Jen-hwa Chu, Yale University School of Medicine
11:35 AM	Single-Cell Transcriptome and Regulome Data Integration Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Weixiang Fang, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
11:50 AM	Exponential-Family Embedding with Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data Kevin Lin, Carnegie Mellon University, Department of Statistics and Data Science; Jing Lei, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
12:05 PM	TWO-SIGMA-Geneset: TWO-Component SInGle Cell Model-Based Association Method for Gene Set Testing Eric Van Buren, University of North Carolina at Chapel Hill; Di Wu, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic; Yun Li, University of North Carolina at Chapel Hill

374 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-605
Statistics in Biosciences (SIB) Special Invited Session – Impacts of Statistics in Genomics and Imaging — Invited Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Hongzhe Li, University of Pennsylvania
Chair(s): Hongzhe Li, University of Pennsylvania
2:05 PM	Alignment and Integrative Analysis of Single-Cell RNA-Seq and Single-Cell ATAC-Seq Data Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:35 PM	Functional Graphical Modeling and Applications in Brain Connectivity Analysis Presentation Lexin Li, University of California at Berkeley
3:05 PM	Gene-Set Integrative Analysis of Multi-Omics Data Using Tensor-Based Association Tests Meng Yang, North Carolina State University; Wenbin Lu, North Carolina State University; Fan Zhang, University at Buffalo; Jeff Miecznikowski, University at Buffalo; Jung-Ying Tzeng, North Carolina State University
3:35 PM	Floor Discussion

394 *	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-502
Brushing up Your Skills in Genomic Data Analysis — Topic Contributed Papers
Korean International Statistical Society, Section on Statistics in Genomics and Genetics, Section on Statistical Consulting
Organizer(s): Kwang-Youn Kim, Northwestern University
Chair(s): Jungwha Julia Lee, Northwestern University
2:05 PM	Combining Multiple Genomic Data Sets Sihai Zhao, University of Illinois at Urbana-Champaign
2:25 PM	Approaches for Network-Based Pathway Analysis of Genomic Data Presentation Rosemary Braun, Northwestern University; Sahil D. Shah, Northwestern University
2:45 PM	Application of Machine Learning to Find Needle in a Genomic Haystack Kwang-Youn Kim, Northwestern University
3:05 PM	Statistical Considerations for Metabolomic Data Sharon Lutz, Harvard Medical School; Rachel S. Kelly, Channing Division of Network Medicine, Brigham & Women’s Hospital, Harvard Medical School; Joanne E. Sordillo, Harvard Medical School and Harvard Pilgrim Health Care ; Ann Wu, Harvard Medical School and Harvard Pilgrim Health Care
3:25 PM	Statistical Approaches for Jointly Analyzing Microbiome and Other -Omics Data Types Michael C. Wu, Fred Hutchinson Cancer Research Center

415 *	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-112
Statistical Methods for Gene Expression and RNA-Seq Analysis — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Peng Liu, Iowa State University
2:05 PM	Nonparametric Method for Differential Analysis of RNA-Seq with Quantification Uncertainty Anqi Zhu, University of North Carolina Chapel Hill; Joseph G Ibrahim, UNC; Michael Love, UNC-Chapel Hill
2:20 PM	Can You Trust Differential Expression Methods for RNA-Seq Data Analysis ? Boris P Hejblum, University of Bordeaux; Marine Gauthier, Université de Bordeaux, Inria/Inserm, VRI; Rodolphe Thiébaut, Université de Bordeaux, Inria/Inserm, VRI; Denis Agniel, RAND Corporation
2:35 PM	Flexible Bivariate Correlated Count Data Regression with Application in Gene Coexpression Analysis Based on RNA-Sequencing Data Presentation Zichen Ma, University of South Carolina
2:50 PM	Latent Dirichlet Model to Compare Expressed Isoform Proportions to a Reference Panel Sean McCabe, University of North Carolina at Chapel Hill; Andrew B Nobel, University of North Carolina at Chapel Hill; Michael Love, UNC-Chapel Hill
3:05 PM	Genome-Wide Detection of Allele-Specific Gene Expression by a Bayesian Logistic Regression Model Tieming Ji, University of Missouri At Columbia; Jing Xie, University of Missouri at Columbia; Marco Ferreira, Virginia Tech
3:20 PM	Multiple Hypothesis Testing in RNA Sequencing Gene Isoform Expression Analysis Bo Li, The Citadel
3:35 PM	Floor Discussion

218956	Tue, 7/30/2019, 5:30 PM - 7:00 PM	CC-304
Section on Statistics in Genomics and Genetics Business Meeting — Other Cmte/Business
Section on Statistics in Genomics and Genetics
Chair(s): Dan Nettleton, Iowa State University

453 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-102
Advances on the Analysis of Single-Cell Sequencing Data — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Lingling An, University of Arizona
Chair(s): Xiaoxiao Sun, University of Arizona
8:35 AM	Accurate Correction on Dropout Events in Single-Cell RNAseq Data Presentation Lingling An, University of Arizona; Di Ran, University of Arizona; Shanshan Zhang, University of Arizona; Nick Lytal, University of Arizona
8:55 AM	Advantages of Modeling Zero-Inflation in ScRNA-Seq Data Presentation Davide Risso, University of Padova
9:15 AM	From Bulk to Single-Cell RNA-Seq Data: Differential Gene Expression Analysis Jingyi Jessica Li, University of California, Los Angeles; Yiling Chen, University of California, Los Angeles
9:35 AM	Exploring Topologically Associating Domains (TADs) for Single-Cell Hi-C Data Qunhua Li, Penn State University; Di Wu, University of North Carolina at Chapel Hill
9:55 AM	Novel Methods for Analyzing Population-Based Single Cell Transcriptomic Data Presentation Wei Chen, University of Pittsburgh
10:15 AM	Floor Discussion

480 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-203
Novel Statistical Methods for Bioinformatics and Computational Biology — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Computing, WNAR
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
10:35 AM	Statistical Methods for Single Cell Regulomics Sunduz Keles, UW Madison; Daniel Conn, University of Wisconsin
11:00 AM	Bayesian Detection of Convergent Rate Changes of Conserved Noncoding Elements on Phylogenetic Trees Presentation Scott V Edwards, Harvard University; Jun S. Liu, Harvard University; Zhirui Hu, Harvard University; Timothy B Sackton, Harvard University
11:25 AM	Reference-Free Learning with Multiple Metagenomic Samples Presentation Wenxuan Zhong, University of Georgia
11:50 AM	B-Scaling: A Novel Nonparametric Data Fusion Method Yiwen Liu, University of Arizona; Xiaoxiao Sun, University of Arizona; Wenxuan Zhong, University of Georgia; Bing Li, The Pennsylvania State University
12:15 PM	Floor Discussion

498 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-505
Designs and Statistical Methods Used in Genetics and Mental Health for Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
Chair(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
10:35 AM	Genome-Wide Association Studies of PTSD in 2 Cohorts of US Army Soldiers Presentation Steven Heeringa, University of Michigan Institute for Social Research
10:55 AM	Genome Wide Association Studies of Suicide Attempts in US Soldiers Erin Ware; Murray B. Stein, UCSD; Colter M Mitchell, University of Michigan; Chia-Yen Chen, Broad Institute of MIT and Harvard; Jordan W Smoller, Harvard Medical School
11:15 AM	A Genome-Wide Gene-By-Trauma Interaction Study of Alcohol Misuse in Two Independent Cohorts Identifies PRKG1 as a Risk Locus Presentation Renato Polimanti; Joan Kaufman, Johns Hopkins School of Medicine; Hongyu Zhao, Yale; Henry R. Kranzler, University of Pennsylvania School of Medicine; Robert J Ursano, Uniformed Services University of the Health Sciences; Ron Kessler, Harvard Medical School; Joel Gelernter, Yale University; Murray B. Stein, UCSD
11:35 AM	Discussant: Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School
11:55 AM	Discussant: Wei-Ting Hwang, University of Pennsylvania
12:15 PM	Floor Discussion

527	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistics in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Wendy Meiring, University of California At Santa Barbara
55:	HierCM: a Hierarchical Mixture Model Approach for Detecting Chromatin Interactions in Hi-C Data Frank Shen, Penn State University; Qunhua Li, Penn State University; Naomi S Altman, Pennsylvania State University
56:	Sparse Probabilistic NMF for Single Cell RNA Sequencing Xiaotian Wu, Brown University; Zhijin Wu, Brown University
57:	Detection of Inversely Enriched Pathways in PBMC Cells in Alzheimer’s Disease and Cancer Lisa Neums, University of Kansas Medical Center; Jeffrey A. Thompson, University of Kansas Medical Center
58:	A Novel Statistical Framework for Trio-Based Transcriptome-Wide Association Study Kunling Huang, University of Wisconsin-Madison, Statistics Department
59:	Evaluation of Modern Approaches for the Complex Trait Prediction Using Genetic Data Miao Zhang, Ancestry.com; Julie Granka, Ancestry.com
60:	Probabilities of Unranked and Ranked Anomaly Zones Under Birth-Death Models Anastasiia Kim, University of New Mexico; James Degnan, University of New Mexico; Noah Rosenberg, Stanford University
61:	Separating Subtype Specific Signals from Mixed Tumor Genomic Data Liuqing Yang, AbbVie; Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill; Steve Marron , University of North Carolina at Chapel Hill
62:	Establishing Single Cell RNA-Seq Data Analysis Pipeline in the Industry Setting Oleg Mayba, Genentech, Inc; Milena Duerrbaum, Genentech, Inc; Robert Piskol, Genentech, Inc; Leonard Goldstein, Genentech, Inc; Kevin Huang, Genentech, Inc; Josh Kaminker, Genentech, Inc; Aaron Lun, Genentech, Inc; Kiran Mukhyala, Genentech, Inc; Luz Orozco-Guerra, Genentech, Inc; Thomas Wu, Genentech, Inc; Matthew Chang, Genentech, Inc; Brad Friedman, Genentech, Inc; Jason Hackney, Genentech, Inc
64:	Inferring Complex Phylogenetic Networks Efficiently Cora Allen-Coleman, University of Wisconsin - Madison; Cécile Ané, University of Wisconsin - Madison
65:	Assessment of Differential Expression Methods for 10x Genomics Data Sets Jacob Gagnon, Biogen; Wenting Wang, Biogen; Eugenia Lyashenko, Biogen; Dann Huh, Biogen; Dipen Sangurdekar, Biogen; Liping Hou, BioStat Solutions, Inc
66:	Integrating GWAS and Omics QTL Summary Statistics in Elucidating Molecular Mechanisms of Trait-Associated SNPs and Detecting Pleiotropy in Human Complex Traits Kevin J Gleason, University of Chicago; Fan Yang, University of Colorado Denver; Lin Chen, University of Chicago
68:	Proposed Methylation Processing Pipeline for Meta Analyzes Using Illumina’s 450K and EPIC Platforms Lauren A Vanderlinden, Colorado School of Public Health; Randi K Johnson, Colorado School of Public Health; Patrick M Carry, Colorado School of Public Health; Fran Dong, Colorado School of Public Health; Ivana V Yang, Colorado School of Public Health; Jill M Norris, Colorado School of Public Health; Katerina Kechris, Colorado School of Public Health
69:	A GWAS Analysis to Identify Genotypes Corresponding to Delayed Senescence in Maize Brandon Lumsden, Clemson University; Yuan Yang, Clemson University; Christopher McMahan, Clemson University; William C. Bridges Jr., Clemson University
71:	Testing Complex Survey Data for Hardy-Weinberg Equilibrium on the X Chromosome: Utilizing Male and Female Data John R. Pleis, NCHS
72:	Integration of Metabolomics and Transcriptomics to Improve Pediatric Drug Dosing Christopher Wilson; Brooke Fridley, Moffitt Cancer Center
73:	Integrating Gene Regulatory Pathways into Differential Network Analysis of Gene Expression Data Tyler Grimes; Somnath Datta, University of Florida
74:	The Additive Model in Genetic Association Studies Zhengyang Zhou, University of North Texas Health Science Center; HUNG-CHIH KU, DePaul University; Chao Xing, UT Southwestern Medical Center

575 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-113
Statistical Methods for Batch Effect Correction and Cell Type Deconvolution — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Di Wu, University of North Carolina at Chapel Hill
2:05 PM	Assessing Reproducibility of High-Throughput Experiments in Case of Missing Data Presentation Roopali Singh; Qunhua Li, Penn State University
2:20 PM	ComBat-Seq: Batch Correction Algorithm for RNA-Seq Count Data Presentation Yuqing Zhang, Boston University; Giovanni Parmigiani, Dana-Farber Cancer Institute; W. Evan Johnson, Boston University
2:35 PM	Learning from Unobserved Covariates for Improved Classification Accuracy Yujia Pan, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
2:50 PM	Surrogate Variable Analysis Based Deconvolution of Transcriptomics Data Li Dong, University of North Carolina at Chapel Hill; Xiaojing Zheng, University of North Carolina at Chapel Hill; Fei Zou, University of North Carolina at Chapel Hill
3:05 PM	Analysis of Longitudinal Metabolite Data with Substantial Missingness and Batch Effects Presentation Evan Sticca, University of Colorado Anschutz Medical Campus; Audrey E Hendricks, University of Colorado Denver; Stephanie P Gilley, University of Colorado Anschutz Medical Campus; K Michael Hambidge, University of Colorado Anschutz Medical Campus; Nancy F Krebs, University of Colorado Anschutz Medical Campus; Sarah J Borengasser, University of Colorado Anschutz Medical Campus
3:20 PM	An Empirical Bayes Method for Deconvolving Multi-Measure Bulk Gene Expression Jiebiao Wang, Carnegie Mellon University; Bernie Devlin, University of Pittsburgh; Kathryn Roeder, Carnegie Mellon University
3:35 PM	Determining Brain Cell-Types in the Presence of Complex Biology Presentation Gregory Hunt, William & Mary; Johann A Gagnon-Bartsch, University of Michigan

593 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-712
Statistical Challenges and New Developments in Genomics — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Nancy Zhang, University of Pennsylvania
Chair(s): Nancy Zhang, University of Pennsylvania
8:35 AM	Evaluation of Cell Clustering in Single Cell Data Zhijin Wu, Brown University
9:00 AM	Removing Unwanted Variation Reveals the Impact of Genetic Variation on 3D Genome Structure Presentation Kasper Daniel Hansen, Johns Hopkins University
9:25 AM	Transfer Learning in Single Cell Transcriptomics Presentation Nancy Zhang, University of Pennsylvania; Divyansh Agarwal, University of Pennsylvania; Zilu Zhou, University of Pennsylvania; Mo Huang, University of Pennsylvania; Gang Hu, Nankai University; Chengzhong Ye, Tsinghua University; Jingshu Wang, The University of Chicago
9:50 AM	GeneFishing: a Computational Method to Reconstruct Comprehensive Context-Specific Portraits of Biological Processes and Its Application to Cholesterol Metabolism Presentation Haiyan Huang, University of California, Berkeley
10:15 AM	Floor Discussion

596 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-605
Statistical and Mathematical Methods in Cancer Etiology and Cancer Early Detection — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Section on Medical Devices and Diagnostics
Organizer(s): Cristian Tomasetti, Johsn Hopkins University
Chair(s): Cristian Tomasetti, Johsn Hopkins University
8:35 AM	Statistical Methods Behind the CancerSEEK Blood Test and the DYNAMICS Study Kamel Lahouel, Johns Hopkins University
9:05 AM	Statistical and Mathematical Approaches to Cancer Etiology Cristian Tomasetti, Johsn Hopkins University; Lu Li, Johns Hopkins University
9:35 AM	Mutational Signatures and Cancer Etiology Presentation Bahman Afsari, Johns Hopkins University
10:05 AM	Floor Discussion

622 *	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-709
Statistical Methods for Genome- and Epigenome-Wide Association Studies and Gene Environment Interactions — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Chao Xing, UT Southwestern Medical Center
8:35 AM	A Novel Method for Phenome-Wide GxE Analysis and Its Application to UK Biobank Presentation Wenjian Bi, University of Michigan; Lars Fritsche, University of Michigan; Zhangchen Zhao, University of Michigan; Seunggeun Lee, University of Michigan
8:50 AM	Statistical Methods for Leveraging Public Controls in a Two-Stage Epigenome-Wide Association Study Ziqiao Wang, The University of Texas MD Anderson Cancer Center; Yue Lu, The University of Texas MD Anderson Cancer Center; Donghui Li, The University of Texas MD Anderson Cancer Center; Peng Wei, The University of Texas MD Anderson Cancer Center
9:05 AM	Semiparametric Bayesian Variable Selection for Gene-Environment Interactions Jie Ren, Kansas State University; Fei Zhou, Kansas State University; Cen Wu, Kansas State University
9:20 AM	A Parallel Algorithm for Penalized Variable Selection in Gene-Environment Interactions Presentation Yinhao Du; Jie Ren, Kansas State University; Fei Zhou, Kansas State University; Cen Wu, Kansas State University
9:35 AM	Structured Variable Selection for High-Dimensional Data, with Applications in Gene-Environment Interactions in Longitudinal Studies Fei Zhou, Kansas State University; Jie Ren, Kansas State University; Cen Wu, Kansas State University
9:50 AM	Floor Discussion

648 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-702
Are Statistical Methods Developed for Bulk RNAseq Data Appropriate for Single Cell Data Sets? — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Roula Tsonaka, Leiden University MC
Chair(s): Roula Tsonaka, Leiden University MC
10:35 AM	Assumptions and Methods for Normalizing Single-Cell RNA-Seq Data Rhonda Bacher, University of Florida
10:55 AM	Robust Normalisation and Differential Variability Testing for Noisy ScRNAseq Data Presentation Catalina Vallejos, MRC Human Genetics Unit, University of Edinburgh
11:15 AM	Statistical Methods for Flexible Differential Analysis of Cross-Sample Single-Cell RNA-Seq Data Sets Presentation Mark Robinson, University of Zurich
11:35 AM	Unlocking Bulk RNA-Seq Tools for Single Cell Applications Presentation Lieven Clement, Ghent University
11:55 AM	Characterization of Differential Correlation Across Single Cell Differentiation Trajectories with ScDCARS Presentation Shila Ghazanfar, Cancer Research UK Cambridge Institute
12:15 PM	Floor Discussion

663 *	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-709
Regression, Clustering and Gene Set Methods in Genomics — Contributed Papers
Section on Statistics in Genomics and Genetics
Chair(s): Xuefeng Wang, MOFFITT Cancer Center
10:35 AM	Robust Inference Based on High-Dimensional Multiple Regressions with Application to Biomarker Screening Youngseok Song, Colorado State University; Wen Zhou, Colorado State University; Wenxin Zhou, University of California, San Diego; Kim Hoke, Colorado State University
10:50 AM	Moment-Based Estimation of Mixtures of Regression Models and Their Application in Genetic Studies Presentation Claus Ekstrom, Biostatistics, University of Copenhagen
11:05 AM	Advances in the Hard Clustering of Categorical Data Karin Dorman, Iowa State University
11:20 AM	FSCseq: Simultaneous Feature Selection and Clustering of RNA-Seq Data David Lim, UNC Chapel Hill; Naim U. Rashid, University of North Carolina at Chapel Hill; Joseph G Ibrahim, UNC
11:35 AM	Covariance Thresholding to Detect Differentially Co-Expressed Gene Sets Presentation Hokeun Sun, Pusan National University; Mingyu Oh, Pusan National University; Kipoong Kim, Pusan National University
11:50 AM	Incorporating Prior Information into Signal-Detection Analyzes Across Biologically Informed Gene-Sets Presentation Mengqi Zhang, Duke University; Sahar Gelfman, Institute of Genomic Medicine,Columbia University; Janice McCarthy, Duke University; David B Goldstein, Institute of Genomic Medicine, Columbia University; Andrew S Allen, Duke University
12:05 PM	Integrating Pathway Information with Boosting to Construct a Sufficient Gene Set for Phenotype Classification Nusrat Jahan, James Madison University; Huining Kang, University of New Mexico; Li Luo, University of New Mexico

JSM 2019 Online Program

Activity Details

American Statistical Association