Birs- 24w5292: Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis
-
Title: Biobanks from an epidemiologic perspective: experience at Kaiser Permanente
Speaker:
Link:
-
Title: Organizing Large Consortium Studies Across Diverse Institutions
Speaker:
Link:
-
Title: Natural language processing for unlocking phenotypic information in clinical notes
Speaker:
Link:
-
Title: Leveraging Biobank-Linked EHR for Genetics Research
Speaker:
Link:
-
Title: Groundwork for Precision Medicine: The Role of Electronic Health Records in Discoveries and Clinical Implementation
Speaker:
Link:
-
Title: All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations
Speaker:
Link:
-
Title: XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias
Speaker:
Link:
-
Title: Everything you always wanted to know about sex chromosomes* (*but were afraid to ask)
Speaker:
Link:
-
Title: Connecting ocular and systemic health: Phenome- and genome- wide analyses of retinal layer thicknesses from optical coherence tomography imaging
Speaker:
Link:
-
Title: Integrated Analysis of Biobanks with Summary Statistics
Speaker:
Link:
-
Title: Making epidemiology FAIR: retrofitting legacy studies and building new cohorts
Speaker:
Link:
-
Title: Scalable mixed models for biobank-scale data: the unreasonable effectiveness of random projections
Speaker:
Link:
-
Title: Novel Approaches to Exploit Family History in Genetic Association Tests, with Applications to the UK Biobank
Speaker:
Link:
-
Title: Discussion
Speaker:
Link:
-
Title: VINTAGE: A unified framework integrating gene expression mapping studies with genome-wide association studies for detecting and deciphering gene-trait associations
Speaker:
Link:
-
Title: Integrating single cell eQTLs to dissect risk genes for immune mediated diseases
Speaker:
Link:
-
Title: Elucidating Genetic Etiology of Complex Disease through Population-Scale Functional Genomic Studies
Speaker:
Link:
-
Title: Error in prediction does not inflate type I error in TWAS but polygenicity does
Speaker:
Link:
-
Title: Enhancing non-linear TWAS/PWAS via trait imputation with applications to Alzheimer's disease
Speaker:
Link:
-
Title: Discussion
Speaker:
Link: