… 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 …

… 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 …

… 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 …

… We establish that SBayesR improves prediction accuracy … as well as minimal imputation error
and data-processing errors … 2\) enrichment 38,57 or understanding genetic architecture via …

… We found that the gene effect enrichment was still accurately estimated, … summary data to
include gene information. Specifically, we compute the marginal association of each imputed …

… In this study, we estimated the h 2 g and functional enrichment of malaria resistance in three
… the summary statistics to LDSC format, filtered SNPs with imputation accuracy greater than …

… , that integrates GWAS summary statistics with functional genomic … c) Improvement in prediction
accuracy increases with the … annotations based on their per-SNP heritability enrichment …

… summary statistics by collapsing information from SNPs in high LD, leading to significantly
improved computational efficiency and enhanced … per-SNP heritability enrichment, averaged …