Large-scale Genomic Association Studies and Population Health

Wed, Aug 5, 10:30 AM - 12:20 PM Room CC-209 Thomas M. Menino Convention & Exhibition Center

Arunabha MajumdarChair

Section on Statistics in Genomics and Genetics

7 Presentations

A Robust and Computationally Scalable Method for Integrating a Large Number of Genomic Studies

10:35 AM - 10:50 AM

Zhiang Yuan (The Chinese University of Hong Kong)

Co-authors: Hongyuan Cao (Florida State University), Yingying Wei (The Chinese University of Hong Kong)

Meta-analysis Gene expression Genome-wide association studies Perturb-seq False discovery rate EM algorithm

Facing Genetics: Statistical Uncertainty, Family Planning, and Genomic Literacy

10:50 AM - 11:05 AM

Tabitha Peter (Merck & Co., Inc.)

Co-authors: Camila Osorio (Fundación Clínica Noel), Martha Jaramillo (Fundación Clínica Noel), Claudia Restrepo (Fundación Clínica Noel), Lina Moreno (University of Iowa)

Statistical uncertainty Risk interpretation Community engagement Genomic literacy Public health genomics

Federated ADMM-LASSO: Privacy-Preserving High-Dimensional Multi-Center Genomic Analysis

11:05 AM - 11:20 AM

Md Atikur Rahman

Co-authors: Isuru Ratnayake (Kansas University Medical Center), Sam Pepper, Dinesh Pal Mudaranthakam, Yanming Li, Andrew Srisuwananukorn (The Ohio State University Comprehensive Cancer Center), Stephen Edge (Roswell Park Cancer Center)

Federated Learning ADMM High-dimensional Data Data Privacy Multi-center analysis Genomic data

MACHINE: a robust multi-ancestry fine-mapping method using a continuous global-local shrinkage prior

11:20 AM - 11:35 AM

Xiang Li

Co-authors: Zewei Xiong (Hong Kong Baptist University), Pak Chung Sham (The University of Hong Kong), Yan Zhang

Statistical genetics Genome-wide association study Fine mapping Bayesian method Continuous global-local shrinkage prior

Real Data Evaluation of Rare Variant Methods for Case-Control Analysis Using Multiple Data Sources

11:35 AM - 11:50 AM

Jessica Murphy (University of Colorado Anschutz)

Co-authors: Anna Peljto (University of Colorado Anschutz), Tasha Fingerlin (National Jewish Health), David Schwartz (University of Colorado Anschutz), Ivana Yang (University of Colorado Anschutz), Audrey Hendricks (University of Colorado Anschutz)

statistical genetics rare variant association methods case-control studies external controls data integration real data analysis

Robust Synthetic Data–Assisted Genome-Wide Association Studies Boost Proteome-Wide Genetic Discovery with Partially Observed Data in Biobanks

11:50 AM - 12:05 PM

haoyu yang (Harvard University)

Co-authors: Ruoyu Wang (Harvard University), Shuang Song (Harvard T.H. Chan School of Public Health), Xihong Lin (Harvard T.H. Chan School of Public Health)

genome-wide association studies synthetic data random effect proteomics hypothesis testing

Synthetic data-powered framework for rare variant associations in biobank-scale WGS studies

12:05 PM - 12:20 PM

Shuang Song (Harvard T.H. Chan School of Public Health)

Co-authors: Ruoyu Wang (Harvard University), haoyu yang (Harvard University), Xihong Lin (Harvard T.H. Chan School of Public Health)

AI-empowered rare variant WGS studies brain imaging phenotypes noncoding