Trained PriLer models on European ancestry individuals

Prior learned elastic-net regression (PriLer) gene expression models trained on reference panels GTEx v6p and CMC release 1. Inside each folder, "genotype_info/" include tab-separated files divided per chromosome with info on variants used to train the models. "tissues/" include trained models divided per tissue. In the corresponding folders,<strong> resPrior_regEval_allchr.txt</strong> is a tab-separated file with summary statistics of trained model for each gene, sorted by chromosome and position. <strong>resPrior_regCoeffSnps_allchr.RData </strong>is an RData object including a Sparse Matrix per chromosome n. variants x n. of genes. Variants position match genotype files and gene position match gene summary statistic order (divided per chromosome) To use the trained model to impute gene expression from on genotype dosages, follow https://gitlab.mpcdf.mpg.de/luciat/castom-igex/-/tree/master/Software/model_prediction/ workflow