Birs- 24w5292: Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis

  1. Title:
    Biobanks from an epidemiologic perspective: experience at Kaiser Permanente

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  2. Title:
    Organizing Large Consortium Studies Across Diverse Institutions

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  3. Title:
    Natural language processing for unlocking phenotypic information in clinical notes

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  4. Title:
    Leveraging Biobank-Linked EHR for Genetics Research

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  5. Title:
    Groundwork for Precision Medicine: The Role of Electronic Health Records in Discoveries and Clinical Implementation

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  6. Title:
    All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations

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  7. Title:
    XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias

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  8. Title:
    Everything you always wanted to know about sex chromosomes* (*but were afraid to ask)

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  9. Title:
    Connecting ocular and systemic health: Phenome- and genome- wide analyses of retinal layer thicknesses from optical coherence tomography imaging

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  10. Title:
    Integrated Analysis of Biobanks with Summary Statistics

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  11. Title:
    Making epidemiology FAIR: retrofitting legacy studies and building new cohorts

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  12. Title:
    Scalable mixed models for biobank-scale data: the unreasonable effectiveness of random projections

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  13. Title:
    Novel Approaches to Exploit Family History in Genetic Association Tests, with Applications to the UK Biobank

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    Discussion

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  15. Title:
    VINTAGE: A unified framework integrating gene expression mapping studies with genome-wide association studies for detecting and deciphering gene-trait associations

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  16. Title:
    Integrating single cell eQTLs to dissect risk genes for immune mediated diseases

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  17. Title:
    Elucidating Genetic Etiology of Complex Disease through Population-Scale Functional Genomic Studies

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  18. Title:
    Error in prediction does not inflate type I error in TWAS but polygenicity does

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  19. Title:
    Enhancing non-linear TWAS/PWAS via trait imputation with applications to Alzheimer's disease

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    Discussion

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