An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies

Keyphrases

• Genome-wide Association Study 100%
• Mixture Model 100%
• Empirical Bayes 100%
• Non-null 100%
• Bayes Mixture 100%
• Effect Size Distribution 100%
• Crohn's Disease 80%
• Schizophrenia 80%
• Test Statistic 80%
• Variance Explained 60%
• Genetic Architecture 40%
• Phenotypic Variance 40%
• Effect Size Estimation 40%
• Null Association 40%
• Zero Mean 40%
• Scale Mixtures 40%
• Meta-analysis 20%
• SNP 20%
• Linkage Disequilibrium 20%
• Nonparametric 20%
• Large Genome 20%
• Additive Effect 20%
• Genome-wide Genotyping 20%
• Complex Traits 20%
• Parameter Estimation 20%
• General Behavior 20%
• Disease Effects 20%
• Significance Threshold 20%
• Null Effects 20%
• Resampling 20%
• Genomic Control 20%
• Polygenic Risk Score 20%
• Nonparametric Estimation 20%
• Large Variance 20%
• Mixture of Normal Distributions 20%
• Mixture of Two Normal Distributions 20%
• Local False Discovery Rate 20%
• Genotype Data 20%
• Crucial Issues 20%
• Mean Effect 20%

Mathematics

• Null 100%
• Effect Size 100%
• Empirical Bayes Procedure 100%
• Mixture Model 100%
• Test Statistic 66%
• Variance 50%
• Gaussian Distribution 33%
• Effect Size Estimate 33%
• Phenotypic Variance 33%
• Meta-Analysis 16%
• Parametric 16%
• Parameter Estimate 16%
• Mixture Distribution 16%
• False Discovery Rate 16%
• Probability 16%