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Keyword Search Criteria: GWAS returned 31 record(s)
Sunday, 07/29/2018
A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School


Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University


An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan


Literature-Guided Integration of Multiple GWAS Results Using Graph-GPA and DDNet
Dongjun Chung, Medical University of South Carolina; Hang J. Kim, University of Cincinnati; Zhenning Yu, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Hongyu Zhao, Yale
2:20 PM

Efficiently Controlling for Unbalanced Case-Control Ratios and Sample Relatedness for Binary Traits in PheWAS by Large Cohorts
Seunggeun Lee, University of Michigan
2:30 PM

Cauchy Combination Test: a Powerful Test with Analytic P-Value Calculation Under Arbitrary Dependency Structures
Yaowu Liu, Harvard School of Public Health; Jun Xie, Purdue University; Xihong Lin, Harvard University
2:35 PM

Leveraging Surrogate Phenotypes to Improve Inference on a Partially Missing Target Phenotype
Zachary McCaw, Harvard School of Public Health; Xihong Lin, Harvard University
2:50 PM

An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan
3:15 PM

Data-Driven Regularization and Priors in GWAS and Mediation Analysis
Sunduz Keles, University of Wisconsin, Madison
3:20 PM

A Model-Based Clustering to Identify Disease-Associated SNPs
Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:20 PM

Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:40 PM

Monday, 07/30/2018
Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA


Large Scale Application of Mendelian Randomization for Systematic Causal Inferences Using GWAS Summary Statistics for Drug Discovery and Development
Xing Chen, Pfizer Inc WRD
9:05 AM

Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
12:00 PM

A Bayesian Hierarchical Framework for Pathway Analysis in Genome-Wide Association Studies
Swati Biswas, University of Texas at Dallas; Lei Zhang, University of Texas at Dallas; Pankaj Choudhary, University of Texas at Dallas
2:05 PM

Analysis of Quantitative Traits in Sequencing Studies with Outcome-Dependent Sampling
SAONLI BASU, University of Minnesota
2:30 PM

A Novel Association Testing Model Between Rare Variants and Multiple Discrete and Continuous Traits
Han Hao, University of North Texas; Xuexia Wang, University of North Texas
2:50 PM

A Bilinear Regression Approach to Inform Variable Selection by Continuous Functional Annotation Information
Pixu Shi; Sunduz Keles, University of Wisconsin, Madison; Ming Yuan, Columbia University
3:05 PM

On the Design of Sequence-Based Case-Control Studies with External Controls
Debashree Ray, Johns Hopkins University; Pranav Yajnik, University of Michigan; Michael Lee Boehnke, University of Michigan
3:20 PM

Tuesday, 07/31/2018
A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota


A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
9:00 AM

Integrating External Controls Improves Power for Genetic Association Testing
Yatong Li, University of Michigan; Seunggeun Lee, University of Michigan
9:50 AM

Distance-Based Analysis with Quantile Regression Models
Shaoyu Li, University of North Carolina Charlotte; Yanqing Sun, University of North Carolina At Charlotte
11:20 AM

A General Framework for Integrating GWAS Data with Molecular Endophenotypes
Wei Pan, University of Minnesota
3:05 PM

Wednesday, 08/01/2018
Assessing Reproducibility in Genome Wide Association Studies
Dan McGuire, Penn State College of Medicine


Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS
Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale


Pleiotropy Informed Adaptive Association Test of Multiple Traits Using GWAS Summary Data
Maria Masotti, University of Minnesota ; Baolin Wu, University of Minnesota ; Bin Guo, University of Minnesota
8:50 AM

Integrating Data from GWAS and EQTL by Estimating Genetic Relatedness
Jianqiao Wang, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:20 AM

Thursday, 08/02/2018
Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:35 AM

A Statistical Framework for Cross-Tissue Transcriptome-Wide Association Analysis
Yiming Hu, Yale University
10:55 AM

A Likelihood Ratio Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of a Genotype Under an Additive Risk Model Using the G-E Independence Assumption
Summer Han, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:15 AM