MiGA microglia eQTL MASHR prediction models

This record provides microglia eQTL-based transcriptome prediction models for TWAS. MASHR models were trained from MiGA microglia eQTL summary statistics across four brain regions (medial frontal gyrus [MFG], superior temporal gyrus [STG], subventricular zone [SVZ], thalamus [THA]). For each brain region, we retained eQTLs corresponding to the five lowest distinct local false sign rates per gene, including all variants tied at each value. File formats: the *.db files are PredictDB-format SQLite databases containing SNP weights; the matching *.txt.gz files contain SNP covariance (LD) matrices computed using reference data from the 1000 Genomes Project.