aFCn for independent cis-eQTLs across 49 tissues in the GTEx v8 release

The aFC-n model is the multi-variant generalization of the aFC approach (https://github.com/secastel/aFC), to estimate the cis-regulatory effect size in genes associated with multiple conditionally independent eQTLs. Notably, aFC-n is the first method that allows for predicting genetically regulated gene expression in a haplotype-specific fashion, paving the way for a future class of genome association studies that can systematically incorporate allele dosage effects. This dataset is generated using aFC-n software package (10.5281/zenodo.8412460) to calculate effect sizes for ~half a million independent cis-eQTLs across 49 tissues in the GTEx v8 release as described in the manuscript. GTEx_v8_aFCn contains: gene_id : Ensembl gene ID variant_id : eQTL ID associated to the gene log2_aFC : The log2 of eQTL effect sizes measured as allelic Fold Change (aFC). log2_aFC_min_95_interv : Lower bound 95% confidence interval log2_aFC_plus_95_interv: Upper bound 95% confidence interval GTEx_v8_aFCn_combined contains: gene_id : Ensembl gene ID variant_id : eQTL ID associated to the gene rest of the columns : The log2 of eQTL effect sizes measured as allelic Fold Change (aFC) in the tissue specified by the column label capped at ±log2(100) nan = The variant is not an eQTL for the tissue / the effect size is not calculated for variants on chrX