Predicting causal variants affecting expression by using whole-genome sequencing and RNA-seq from multiple human tissues

CaVEMaN is a new method that uses whole-genome sequencing and RNA-sequencing data to implicate likely causal variants affecting gene expression. The set of high-confidence causal variants found in multiple tissues is enriched for variants associated with complex traits.