ArticleGenomics, proteomics & bioinformatics2022
ezQTL: A Web Platform for Interactive Visualization and Colocalization of QTLs and GWAS Loci.
Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detailed stratified GWAS analysis for severe COVID-19 in four European populations.Human molecular genetics · 2022Pooled it
- Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Genetic epidemiology · 2026Review
- Exploring the shared genetic architecture between periodontitis and cardiovascular disease.BDJ open · 2026Article
- Functional characterization of a multi-cancer risk locus on chromosome band 2q33.1 nearbioRxiv : the preprint server for biology · 2026Article
- Dissecting the genetic architecture of circadian rhythms in human tissues using a quantitative circadian deviation score.Genome biology · 2025Article
- XBP1 expression in pancreatic islet cells is associated with poor glycaemic control especially in young non-obese onset diabetes across ancestries.Communications medicine · 2025Article
- Protein quantitative trait locus analysis in African American and non-Hispanic White individuals.Genome biology · 2025Article
- Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.American journal of human genetics · 2025Article
- Sex-differentiated placental methylation and gene expression regulation has implications for neonatal traits and adult diseases.Nature communications · 2025Article
- Article
- Genome-wide interaction association analysis identifies interactive effects of childhood maltreatment and kynurenine pathway on depression.Nature communications · 2025Article
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Translatome profiling reveals Itih4 as a novel smooth muscle cell-specific gene in atherosclerosis.Cardiovascular research · 2024Article
- Unveiling Gene Interactions in Alzheimer's Disease by Integrating Genetic and Epigenetic Data with a Network-Based Approach.Epigenomes · 2024Article
- COLOCdb: a comprehensive resource for multi-model colocalization of complex traits.Nucleic acids research · 2024Article
- xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs.Briefings in bioinformatics · 2023Article
- A new Approach to Identify Gene-Environment Interactions and Reveal New Biological Insight in Complex traits.Research square · 2023Article
- Mapping genetic variants for nonsense-mediated mRNA decay regulation across human tissues.Genome biology · 2023Article
- Splicing annotation of endometrial cancer GWAS risk loci reveals potentially causal variants and supports a role forHGG advances · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have identified thousands of genomic loci associated with complex diseases and traits, including cancer. The vast majority of common trait-associated variants identified via GWAS fall in non-coding regions of the genome, posing a challenge in elucidating the causal variants, genes, and mechanisms involved. Expression quantitative trait locus (eQTL) and other molecular QTL studies have been valuable resources in identifying candidate causal genes from GWAS loci through statistical colocalization methods. While QTL colocalization is becoming a standard analysis in post-GWAS investigation, an easy web tool for users to perform formal colocalization analyses with either user-provided or public GWAS and eQTL datasets has been lacking. Here, we present ezQTL, a web-based bioinformatic application to interactively visualize and analyze genetic association data such as GWAS loci and molecular QTLs under different linkage disequilibrium (LD) patterns (1000 Genomes Project, UK Biobank, or user-provided data). This application allows users to perform data quality control for variants matched between different datasets, LD visualization, and two-trait colocalization analyses using two state-of-the-art methodologies (eCAVIAR and HyPrColoc), including batch processing. ezQTL is a free and publicly available cross-platform web tool, which can be accessed online at https://analysistools.cancer.gov/ezqtl.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.