Contributed Papers

Risk Scores and Polygenic Modeling of Genomic and Genetic Data

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-209C Music City Center

Section on Statistics in Genomics and Genetics

7 Presentations

Modeling continuous genetic ancestry to improve risk prediction across diverse populations

4:05 PM - 4:20 PM

Co-authors: Tony Chen (Harvard University), Haoyu Zhang (National Cancer Institute), Tony Chen (Harvard University), Rahul Mazumder (Massachusetts Institute of Technology), Xihong Lin (Harvard T.H. Chan School of Public Health)

polygenic risk scores genetic ancestry penalized regression All of Us UK Biobank genetic interactions

A Poly-Adaptive Metric (PAM) model for multi-objective variable selection in predictive modeling

4:20 PM - 4:35 PM

Co-authors: Raelynn Chen (Cedars-Sinai Medical Center), Ruowang Li (Cedars-Sinai Medical Center), Ruowang Li (Cedars-Sinai Medical Center), Attri Ghosh (Cedars Sinai Medical Center)

variable selection ensemble learning multi-objective predictive modeling polygenic risk score

Modeling and predicting single-cell multi-gene perturbation responses with scLAMBDA

4:35 PM - 4:50 PM

Co-authors: Gefei Wang (Yale University), Gefei Wang (Yale University), Tianyu Liu, Jia Zhao (Yale University), Youshu Cheng (Yale University), Hongyu Zhao (Yale University)

single-cell RNA-sequencing genetic perturbation deep learning

Efficient implementation of cumulative probability models for association studies

4:50 PM - 5:05 PM

Co-authors: Eric Kawaguchi, Eric Kawaguchi, Chun Li (Case Western Reserve University)

ordinal regression genome-wide association study set-based testing cumulative link models

Longitudinal Bayes Omics Regression Discovery

5:05 PM - 5:20 PM

Co-authors: Livia Popa, Livia Popa, Martin Wells (Cornell University), Sumanta Basu (Cornell University), Myung Hee Lee (Weill Cornell Medicine)

Disease Progression Feature Selection Mixed Models Bayesian Group Lasso Uncertainty Quantification Zellners g-prior

Improved Prognostic Survival Models Using High Dimensional Gene Expression Data

5:20 PM - 5:35 PM

Co-authors: Tyler Jones, Tyler Jones, Shuoyang Wang (University of Louisville), Akshitkumar Mistry (UofL Health – Brown Cancer Center, University of Louisville, Louisville, KY), Howard Donninger (UofL Health – Brown Cancer Center, University of Louisville, Louisville, KY), Kavitha Yaddanapudi (UofL Health – Brown Cancer Center, University of Louisville, Louisville, KY), Maiying Kong (University of Louisville), Mst Sharmin Akter Sumy (Department of Bioinformatics and Biostatistics, SPHIS, University of Louisville, Louisville, KY)

High-dimensional genomic data Medulloblastoma molecular stratification prognostic models variable selection survival analysis

Risk Score Prediction Model for Treatment Response in SLE Nephritis

5:35 PM - 5:50 PM

Co-authors: Kun Bai, Kun Bai, Fei Ye (Vanderbilt University Medical Center), April Barnado (MD, MSCI, Department of Biomedical Informatics)

Genetic Risk Score Modeling Predictive Analysis Internal & External Validation Machine Learning Techniques