Nurlan Kerimov

TL;DR: The eQTL Catalogue as discussed by the authors is a set of gene expression quantitative trait locus (eQTL) studies published their summary statistics, which can be used to gain insight into complex human traits by downstream analyses, such as fine mapping and co-localization.

TL;DR: The eQTL Catalogue is presented, a resource which contains quality controlled, uniformly recomputed QTLs from 21 eQtl studies, and it is found that for matching cell types and tissues, the eZTL effect sizes are highly reproducible between studies, enabling the integrative analysis of these data.

TL;DR: In this paper, the authors performed and integrated fine-mapping across 148 complex traits in three large-scale biobanks (BioBank Japan4,5, FinnGen6, and UK Biobank7,8; total n = 811,261), resulting in 4,518 variant-trait pairs with high posterior probability (> 0.9) of causality.

TL;DR: Co-expression modules inferred from gene expression data with five methods as traits as traits in trans-eQTL analysis are used to limit multiple testing and improve interpretability and highlight how co-expression combined with functional enrichment analysis improves the identification and prioritisation of trans- eQTLs when applied to emerging cell-type-specific datasets.

TL;DR: This analysis provides a rare detailed characterisation of a trans-eQTL effect cascade from a proximal cis effect to the affected signalling pathway, transcription factor, and target genes.