Bayesian multiple logistic regression for case-control GWAS

Abstract excerpt

Genetic variants in genome-wide association studies (GWAS) are tested for disease association mostly using simple regression, one variant at a time. Standard approaches to improve power in detecting disease-associated SNPs use multiple regression with Bayesian variable selection in which a sparsity-enforcing prior on effect sizes is used to avoid overtraining and all effect sizes are integrated out for posterior i...

Topics

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• Algorithms
• Bayes Theorem
• Computer Simulation
• Diabetes Mellitus, Type 2
• Genome-Wide Association Study
• Phenotype
• Polymorphism, Single Nucleotide
• Software

Identifiers and source

Literature Corpus work

04b166b5-8e09-57bf-be00-dc8c80212248

DOI

10.1101/198911