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

<p>The aFC-n model is the multi-variant generalization of the aFC approach (<a href="https://github.com/secastel/aFC">https://github.com/secastel/aFC</a>), to estimate the <i>cis</i>-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.</p><p>This dataset is generated using aFC-n software package (<a href="https://doi.org/10.5281/zenodo.8412460">10.5281/zenodo.8412460</a>) to calculate effect sizes for ~half a million independent <i>cis</i>-eQTLs across 49 tissues in the GTEx v8 release as described in the <a href="https://www.biorxiv.org/content/10.1101/2022.01.28.478116v1">manuscript</a>.</p><p>GTEx_v8_aFCn contains:</p><ul><li>gene_id : Ensembl gene ID</li><li>variant_id : eQTL ID associated to the gene</li><li>log2_aFC : The log2 of eQTL effect sizes measured as allelic Fold Change (aFC).</li><li>log2_aFC_min_95_interv : Lower bound 95% confidence interval</li><li>log2_aFC_plus_95_interv: Upper bound 95% confidence interval</li></ul><p>GTEx_v8<i>_</i>aFCn<i>_</i>combined contains:</p><ul><li>gene_id : Ensembl gene ID</li><li>variant_id : eQTL ID associated to the gene</li><li>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)&nbsp;<ul><li>nan = The variant is not an eQTL for the tissue / the effect size is not calculated for variants on chrX</li></ul></li></ul><p>&nbsp;</p>