𝔾iven the pervasive polygenicity of most complex traits, we found that TWAS results can be substantially inflated, yielding many more false positives than expected. We describe the problem and solution in this preprint. We updated the MetaXcan software and prediction models to correct for this … Read more →

𝕎e have recently published a new set of prediction models trained on GTEx v8 data (as part of efforts detailed in this preprint. We have overhauled the model construction, incorporating posterior inclusion probabilities and global patterns of tissue sharing, while also benefiting from larger sample … Read more →

𝕎e are releasing prediction models trained on GTEx Version 7 data. Download fromhere. We have updated our processing pipeline, and restricted to individuals of European ancestry to obtain more reliable LD data. This reduces false positive associations in the Summary Version of PrediXcan. Because of … Read more →

𝕋oday we are updating the tissue-wide prediction models trained from GTEx data which use 1000 Genomes SNPs. There are two main differences: […] The snp covariance files we had provided previously were built using a reference dataset with 1000 genomes data. Now the covariance data is based off … Read more →