Birs- 14w5011: Emerging Statistical Challenges and Methods For Analysis of Massive Genomic Data in Complex Human Disease Studies

  1. Title:
    GWAS to WGAS-A Difficult Permutation

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  2. Title:
    Design of Sequencing-Based Studies

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  3. Title:
    A Collapsing Method Based on Mixed-Effect Modeling for Rare CNV Analysis

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  4. Title:
    Effective Adjustment of Differential Cell Populations in Epigenome-Wide Association Studies

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  5. Title:
    Integrative Mediation Analysis of Genetic and Genomic Data in Genetic Association Studies

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  6. Title:
    Empirical Bayes Scan Statistics for Detecting Clusters of Disease Risk Variants in Genetic Studies

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  7. Title:
    Mapping Rare Variants by the Coalescent

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  8. Title:
    Case-Control Genetic Association Studies with Next-Generation Sequence Data and External Controls: The Robust Variance Score Statistic

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  9. Title:
    Mixed-Model Association Mapping in Admixed Populations

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  10. Title:
    Known and Unknown Confounders in Genetic Studies

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  11. Title:
    The generalized higher criticism for testing SNP sets in genetic association studies

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  12. Title:
    Empirical evaluation of prediction- and correlation network methods applied to genomic data

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  13. Title:
    New approaches to large-scale data integration: Across-omics and across variant types

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  14. Title:
    Moving Forward from GWAS through Analysis of Multiple Data Types

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  15. Title:
    Characterizing SNPs Using Genomic Information

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  16. Title:
    Statistical Issues in Development and Evaluation of Genetic Risk Prediction Models

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  17. Title:
    Risk Classification with an Adaptive Naïve Bayes Kernel Machine Model

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  18. Title:
    Building a Classification Model Based on miRNA Data

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  19. Title:
    Methods for Evaluating Pleiotropy

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  20. Title:
    Statistical Methods to Prioritize GWAS Results by Integrating Pleiotropy and Annotation

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