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Transcriptome-wide association studies (TWAS) identify genes that influence complex traits through genetic regulation of gene expression. Existing TWAS tools like FUSION require individual-level eQTL reference data from a source like GTEx (n=~100s) to impute gene expression in a test GWAS. Therefore, these TWAS tools are not applicable to enormous summary-level reference eQTL datasets like those generated by the eQTLGen consortium (n=~32K). Development of TWAS methods that can harnessdoi:10.1101/2022.03.30.486451 fatcat:qis3sedlvrhpxdhstul2pbnrja