Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis
Videos from BIRS Workshop
Neil Risch, UCSF
Monday Jul 22, 2024 09:04 - 09:36
Biobanks from an epidemiologic perspective: experience at Kaiser Permanente
Lucila Ohno-Machado, Yale University
Monday Jul 22, 2024 09:37 - 10:07
Organizing Large Consortium Studies Across Diverse Institutions
Hua Xu, Yale University
Monday Jul 22, 2024 10:19 - 10:40
Natural language processing for unlocking phenotypic information in clinical notes
Ruowang Li, Cedars Sinai Medical Center
Monday Jul 22, 2024 10:41 - 11:03
Leveraging Biobank-Linked EHR for Genetics Research
Shefali Verma, U Penn
Monday Jul 22, 2024 11:04 - 11:27
Groundwork for Precision Medicine: The Role of Electronic Health Records in Discoveries and Clinical Implementation
Alicia Martin, Massachusetts General Hospital & Broad Institute
Monday Jul 22, 2024 13:59 - 14:23
All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations
Can Yang, The Hong Kong University of Science and Technology
Monday Jul 22, 2024 15:06 - 15:25
XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias
Andrew Paterson, The Hospital for Sick Children
Monday Jul 22, 2024 15:26 - 15:48
Everything you always wanted to know about sex chromosomes* (*but were afraid to ask)
Maryam Zekavat, Harvard University
Monday Jul 22, 2024 15:48 - 16:06
Connecting ocular and systemic health: Phenome- and genome- wide analyses of retinal layer thicknesses from optical coherence tomography imaging
Nilanjan Chatterjee, Johns Hopkins University
Tuesday Jul 23, 2024 09:01 - 09:30
Integrated Analysis of Biobanks with Summary Statistics
Peter Kraft, National Cancer Institute
Tuesday Jul 23, 2024 09:39 - 10:04
Making epidemiology FAIR: retrofitting legacy studies and building new cohorts
Sriram Sankararaman, UCLA
Tuesday Jul 23, 2024 10:23 - 10:44
Scalable mixed models for biobank-scale data: the unreasonable effectiveness of random projections
Josee Dupuis, McGill University
Tuesday Jul 23, 2024 10:45 - 11:05
Novel Approaches to Exploit Family History in Genetic Association Tests, with Applications to the UK Biobank
Iuliana Ionita-Laza, Columbia University
Tuesday Jul 23, 2024 10:55 - 11:15
Quantile Regression for biomarkers in the UK Biobank
Peter Kraft, National Cancer Institute
Tuesday Jul 23, 2024 11:13 - 11:36
Discussion
Xiang Zhou, University of Michigan
Tuesday Jul 23, 2024 13:46 - 14:07
VINTAGE: A unified framework integrating gene expression mapping studies with genome-wide association studies for detecting and deciphering gene-trait associations
Dajiang Liu, Penn State University
Tuesday Jul 23, 2024 14:07 - 14:27
Integrating single cell eQTLs to dissect risk genes for immune mediated diseases
Gao Wang, Columbia University
Tuesday Jul 23, 2024 14:27 - 14:50
Elucidating Genetic Etiology of Complex Disease through Population-Scale Functional Genomic Studies
Hae Kyung Im, University of Chicago
Tuesday Jul 23, 2024 15:07 - 15:30
Error in prediction does not inflate type I error in TWAS but polygenicity does
Wei Pan, University of Minnesota
Tuesday Jul 23, 2024 15:31 - 15:53
Enhancing non-linear TWAS/PWAS via trait imputation with applications to Alzheimer's disease
Xiang Zhou, University of Michigan
Tuesday Jul 23, 2024 15:53 - 16:18
Discussion
Jian Yang, Westlake University
Wednesday Jul 24, 2024 09:00 - 09:27
Genetics and clinical implications of somatic mutational burden in normal blood
Hongtu Zhu, The University of North Carolina at Chapel Hill
Wednesday Jul 24, 2024 09:28 - 09:48
Genetic Architecture of Brain and Heart
Daphne Martschenko, Stanford University
Wednesday Jul 24, 2024 10:16 - 10:35
Ethical Implications of Biobank Analysis: From humans, to data, and back again
Anna Lewis, Brigham and Women's Hospital and Harvard Medical School
Wednesday Jul 24, 2024 10:34 - 10:53
Data governance strategies for minimizing risks from reidentification and group harms
Fan Wang, Columbia University
Wednesday Jul 24, 2024 11:01 - 11:24
Computationally Efficient Approaches for Whole-Genome Quantile Inference with Related Samples
Frank Dudbridge, University of Leicester
Thursday Jul 25, 2024 09:00 - 09:20
GWAS and Mendelian randomisation of disease progression traits
Qingyuan Zhao, University of Cambridge
Thursday Jul 25, 2024 09:20 - 09:40
Some recent progress in Mendelian randomization
Xiaofeng Zhu, Case Western Serve University
Thursday Jul 25, 2024 09:41 - 10:04
Uncovering Gene-Environment Interactions through Mendelian Randomization
Tianyuan Lu, University of Wisconsin-Madison
Thursday Jul 25, 2024 10:24 - 10:44
Challenges in causal interpretation of Mendelian Randomization with large biobank data
Dehan Kong, University of Toronto
Thursday Jul 25, 2024 10:52 - 11:14
Fighting Noise with Noise: Mendelian Randomization Studies with Pseudo Variables
Chen-Yang Su, McGill University
Thursday Jul 25, 2024 11:14 - 11:37
Multi-ancestry proteome-wide Mendelian randomization offers a comprehensive protein-disease atlas and potential therapeutic targets
Xiaofeng Zhu, Case Western Serve University
Thursday Jul 25, 2024 11:37 - 12:03
Discussion
Jean Yee Hwa Yang, The University of Sydney
Thursday Jul 25, 2024 13:49 - 14:09
Exploring genomic influence on in-silico spatial gene expression data
Lorin Crawford, Microsoft Research
Thursday Jul 25, 2024 14:09 - 14:31
Discovering non-additive heritability using additive GWAS summary statistics
Wenmin Zhang, Montreal Heart Institute
Thursday Jul 25, 2024 14:31 - 14:49
Improving understanding of complex trait genetics with probabilistic graphical models and variational inference
Charles Kooperberg, Fred Hutchinson Cancer Center
Thursday Jul 25, 2024 15:05 - 15:28
Evaluating the performance of Polygenic Risk Scores in Diverse Populations
Yun Li, University of North Carolina
Thursday Jul 25, 2024 15:28 - 15:49
Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI
Ziang Zhang, U Toronto
Thursday Jul 25, 2024 15:50 - 16:11
Detecting latent gene-environment interaction when analyzing binary traits
Lorin Crawford, Microsoft Research
Thursday Jul 25, 2024 16:11 - 16:32
Discussion
Brent McPherson, McGill University
Friday Jul 26, 2024 08:52 - 09:06
Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis: a Neuroimaging Perspective
Charles Dupras, Université de Montréal
Friday Jul 26, 2024 09:10 - 09:32
How to assess risks to privacy and confidentiality in multi-omic research and databases
Yixiao Zeng, McGill University
Friday Jul 26, 2024 09:33 - 09:56
DKLasso: Deep Kernel Learning for Robust Prediction and Feature Selection — Applications to the CLSA Biobank for Exploring Metabolite-Epigenetic Aging Associations
