eQTL Catalogue: a compendium of uniformly processed human gene expression and splicing QTLs
By
Nurlan Kerimov,
James D. Hayhurst,
Kateryna Peikova,
Jonathan R. Manning,
Peter Walter,
Liis Kolberg,
Marija Samoviča,
Manoj Pandian Sakthivel,
Ivan Kuzmin,
Stephen J. Trevanion,
Tony Burdett,
Simon Jupp,
Helen Parkinson,
Irene Papatheodorou,
Andrew Yates,
Daniel R. Zerbino,
Kaur Alasoo
Posted 29 Jan 2020
bioRxiv DOI: 10.1101/2020.01.29.924266
An increasing number of gene expression quantitative trait locus (eQTL) studies have made summary statistics publicly available, which can be used to gain insight into complex human traits by downstream analyses, such as fine mapping and colocalisation. However, differences between these datasets, in their variants tested, allele codings, and in the transcriptional features quantified, are a barrier to their widespread use. Consequently, target genes for most GWAS signals have still not been identified. Here, we present the eQTL Catalogue (https://www.ebi.ac.uk/eqtl/), a resource which contains quality controlled, uniformly recomputed QTLs from 21 eQTL studies. We find that for matching cell types and tissues, the eQTL effect sizes are highly reproducible between studies, enabling the integrative analysis of these data. Although most cis-eQTLs were shared between most bulk tissues, the analysis of purified cell types identified a greater diversity of cell-type-specific eQTLs, a subset of which also manifested as novel disease colocalisations. Our summary statistics can be downloaded by FTP, accessed via a REST API, and visualised on the Ensembl genome browser. New datasets will continuously be added to the eQTL Catalogue, enabling the systematic interpretation of human GWAS associations across many cell types and tissues.
Download data
- Downloaded 1,450 times
- Download rankings, all-time:
- Site-wide: 10,319
- In genomics: 1,180
- Year to date:
- Site-wide: 648
- Since beginning of last month:
- Site-wide: 4,584
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!