… high accuracy imputation from summary statistics. We demonstrate this accuracy for variants
of all effect sizes on real data … Filtering imputed SNPs by their R 2 improves only slightly the …

… based enrichment analysis method for GWAS summary statistics… strong evidence for
enrichment—for example, 20 traits have … However, this extension would increase computation …

… enrichment approach. We demonstrate the marked increase in power by analyzing summary
statistics … (Fig 2A): for the HapMap imputed data, VEGAS took 29 hours to compute 18,132 …

… impute summary statistics from a single-cell RNA-sequencing-based eQTL study with six
major cell types. We detect a large amount of novel significant eQTL associations (an increase …

… for assessing the evidence that the ℓ th SNP is causal as … K = 5 to demonstrate the increase
in fine-mapping performance … through imputation or indirectly through other SNPs in the data. …

… This panel enhances the range and accuracy of imputable variants, including the ability
to impute summary statistics of rarer variants. As a result, GAUSS elevates the quality and …

… is enriched for regions where there is evidence of multiple causal variants in the GWAS trait.
When multiple causal variants are present, imputed summary statistics … these could increase …

… improves model fits in some data sets, and hence improves … function known as the “evidence
lower bound” (ELBO). … SNPs from the exact same samples, using genotype imputation if …

… associations in imputation using summary statistics can be … functional annotation data to
further increase fine-mapping … enriched functional annotations using summary statistic data …

… DHS enrichment to reflect a wide diversity of potential functional genetic architectures. In
general, we see that leveraging functional annotation data improves … using summary data from …