Contributed Papers

Statistical Challenges and New Testing Methods in Genomics and Genetics

Thu, Aug 7, 10:30 AM - 12:20 PM Room CC-104D Music City Center

Maya ShenChair

Section on Statistics in Genomics and Genetics

7 Presentations

Rare-Screening Technique for Binary Outcome with Rare Events

10:35 AM - 10:50 AM

Co-authors: Mohammad Nahian Ferdous Abrar (The University of Memphis), Hongmei Zhang (University of Memphis), Mohammad Nahian Ferdous Abrar (The University of Memphis), Yu Jiang (University of Memphis), Meredith Ray (University Of Memphis)

Screening rare-event sensitivity resampling

Large Impact of Genetic Data Processing Steps on Reproducibility in Genome-Wide Association Studies

10:50 AM - 11:05 AM

Co-authors: Naishu Kui, Ryan Sun (University of Texas, MD Anderson Cancer Center), Naishu Kui

Genome-Wide Association Study Reproducibility Set-Based Inference Model Misspecification

POET: A Powerful and Efficient Poisson Exact Test for Rare Variant Association Studies

11:05 AM - 11:20 AM

Co-authors: Yuhan Xie (Merck), Yuhan Xie (Merck), Geyu Zhou (Yale University), Zhuoya Zhong (Shanghai Jiao Tong University), Hongyu Zhao (Yale University)

Rare Variant Association Studies Whole Exome Sequencing UK Biobank

ZMIX: estimating ancestry proportions using GWAS association Z-scores

11:20 AM - 11:35 AM

Co-authors: Trent Dennis, Donghyung Lee (Miami University)

GWAS ancestry proportions association Z-scores summary statistics

Statistical Challenges with High Throughput Outcomes in Environmentally Exposed Population Cohorts

11:35 AM - 11:50 AM

Co-authors: Christina Pinkston (University of Louisville and Biostats, Health Inform & Data Sci, University of Cincinnati College of Medicine), Christina Pinkston (University of Louisville and Biostats, Health Inform & Data Sci, University of Cincinnati College of Medicine), Shesh Rai (University of Louisville), Matthew Cave (University of Louisville)

high throughput studies biomarkers heterogeneity cohort studies liver disease environmental exposures

Matrix Linear Models for connecting metabolite composition to individual characteristics

11:50 AM - 12:05 PM

Co-authors: Gregory Farage, Chenhao Zhao, Gregory Farage, Hyo Young Choi (UTHSC), Timothy Garrett (University of Florida), Marshall Elam (University of Tennessee Health Science Center), Katerina Kechris (Colorado School of Public Health), Saunak Sen (University of Tennessee Health Science Center)

high-throughput data metabolomics Julia package

Bridge Sample Selection and Batch Correction in High-Dimensional Data

12:05 PM - 12:20 PM

Co-authors: Md Saiful Islam Saif, Md Saiful Islam Saif, Rondi A Butler (Brown University School of Public Heath, RI, USA), Lucas A Salas (Geisel School of Medicine at Dartmouth, Lebanon, NH, USA), Brock C Christensen (Geisel School of Medicine at Dartmouth, Lebanon, NH, USA), Karl T Kelsey (Brown University School of Public Health, Providence, RI, USA), Devin C Koestler (University of Kansas Medical Center, Kansas City, KS, USA)

Batch Effect Bridge Sample Selection OlinkAnalyze COMBAT High-Dimensional Data Olink Proteomics