“…After a GWAS, many genome-wide studies have assayed intermediate molecular traits including epigenetic marks, gene expression levels, and chromatin interaction datasets. 3 , 30 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 An array of computational approaches have been developed to test the impact of genetic variation on these intermediate traits and to help researchers infer causal relationships between the molecular phenotypes and the downstream disease risk. Gene-based association tests of rare variants have been used to increase the statistical power and to enable direct identification of trait-relevant genes.…”