A Bayesian method to incorporate hundreds of functional characteristics with association evidence to improve variant prioritization.

Abstract excerpt

The increasing quantity and quality of functional genomic information motivate the assessment and integration of these data with association data, including data originating from genome-wide association studies (GWAS). We used previously described GWAS signals ("hits") to train a regularized logistic model in order to predict SNP causality on the basis of a large multivariate functional dataset. We show how this...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Bayes Theorem
• Share to Cluster Analysis
• Share to Computational Biology