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

  1. Title:
    Genetics and clinical implications of somatic mutational burden in normal blood

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  2. Title:
    Genetic Architecture of Brain and Heart

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  3. Title:
    Data governance strategies for minimizing risks from reidentification and group harms

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  4. Title:
    Computationally Efficient Approaches for Whole-Genome Quantile Inference with Related Samples

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  5. Title:
    GWAS and Mendelian randomisation of disease progression traits

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  6. Title:
    Some recent progress in Mendelian randomization

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  7. Title:
    Uncovering Gene-Environment Interactions through Mendelian Randomization

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  8. Title:
    Challenges in causal interpretation of Mendelian Randomization with large biobank data

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  9. Title:
    Fighting Noise with Noise: Mendelian Randomization Studies with Pseudo Variables

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  10. Title:
    Multi-ancestry proteome-wide Mendelian randomization offers a comprehensive protein-disease atlas and potential therapeutic targets

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  11. Title:
    Discussion

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  12. Title:
    Exploring genomic influence on in-silico spatial gene expression data

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  13. Title:
    Discovering non-additive heritability using additive GWAS summary statistics

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  14. Title:
    Improving understanding of complex trait genetics with probabilistic graphical models and variational inference

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  15. Title:
    Evaluating the performance of Polygenic Risk Scores in Diverse Populations

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  16. Title:
    Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI

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  17. Title:
    Detecting latent gene-environment interaction when analyzing binary traits

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  18. Title:
    Discussion

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  19. Title:
    Statistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis: a Neuroimaging Perspective

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  20. Title:
    How to assess risks to privacy and confidentiality in multi-omic research and databases

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