ArticleBioinformatics (Oxford, England)2022
ColocQuiaL: a QTL-GWAS colocalization pipeline.
Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oxidative Stress-Related Genome-Wide Mendelian Randomization Identifies Causal Genes for Coronary Artery Disease.Cardiovascular therapeutics · 2026Pooled it
- Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Genetic epidemiology · 2026Review
- Tonsillar expression quantitative trait loci verify and expand genetic contributors to childhood atopic diseases.bioRxiv : the preprint server for biology · 2026Article
- Multi-omic insight into the molecular mechanism of cuproptosis-related genes in the pathogenesis of Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Potential mitochondria-associated pathogenic genes in sepsis: a multi-omics Mendelian randomization study.Frontiers in immunology · 2026Article
- Jiangtang Decoction for Type 2 Diabetes and NAFLD: Integrative AnalysisEndocrine, metabolic & immune disorders drug targets · 2026Article
- Multi-omics profiling uncovers paradoxical Epstein-Barr virus involvement in autoimmune liver disease pathogenesis.AMB Express · 2025Article
- Article
- Multi-Omics Analysis and Validation of Cell Senescence-Related Genes Associated with Non-Alcoholic Fatty Liver Disease.Journal of inflammation research · 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
- 3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity.medRxiv : the preprint server for health sciences · 2024Article
- Variant-to-function analysis of the childhood obesity chr12q13 locus implicates rs7132908 as a causal variant within the 3' UTR of FAIM2.Cell genomics · 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
- Variant-to-function analysis of the childhood obesity chr12q13 locus implicates rs7132908 as a causal variant within the 3' UTR ofbioRxiv : the preprint server for biology · 2023Article
- Systematic characterization of regulatory variants of blood pressure genes.Cell genomics · 2023Article
- Bridging the splicing gap in human genetics with long-read RNA sequencing: finding the protein isoform drivers of disease.Human molecular genetics · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
summaryIdentifying genomic features responsible for genome-wide association study (GWAS) signals has proven to be a difficult challenge; many researchers have turned to colocalization analysis of GWAS signals with expression quantitative trait loci (eQTL) and splicing quantitative trait loci (sQTL) to connect GWAS signals to candidate causal genes. The ColocQuiaL pipeline provides a framework to perform these colocalization analyses at scale across the genome and returns summary files and locus visualization plots to allow for detailed review of the results. As an example, we used ColocQuiaL to perform colocalization between a recent type 2 diabetes GWAS and Genotype-Tissue Expression (GTEx) v8 single-tissue eQTL and sQTL data. AVAILABILITY AND IMPLEMENTATION: ColocQuiaL is primarily written in R and is freely available on GitHub: https://github.com/bvoightlab/ColocQuiaL.
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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.