ArticleBioinformatics (Oxford, England)2022
FIVEx: an interactive eQTL browser across public datasets.
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 44 papers.
What it found
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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
44 citing papers in PubMed, 51 citations in OpenAlex.
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- Systematic analysis of functional genetic and epigenetic variants in colorectal cancer.Science advances · 2026Article
- Genome-wide association study reveals acute mountain sickness susceptibility in Chinese population.Molecular genetics and genomics : MGG · 2026Article
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- Identification of rs28362336 as a risk SNP for generalized myasthenia gravis and its impact on HCG27 regulation.PloS one · 2026Article
- Genetic variants ofFrontiers in immunology · 2026Article
- The Impact of Complement Factor H-Related Protein Gene Deletions on Kidney Transplantation.Scandinavian journal of immunology · 2025Article
- Interplay Between Type 2 Diabetes Susceptibility and Prostate Cancer Progression: Functional Insights intoDiagnostics (Basel, Switzerland) · 2025Article
- Association of Epistatic Effects of lncRNA GAS5, miR-146a, IRAK-1, and miR-155 Genetic Variants with Multiple Sclerosis Risk and Severity.Molecular neurobiology · 2025Article
- Genetic Association of Primary Angle-Closure Glaucoma and Disease Progression.Clinical & experimental ophthalmology · 2025Article
- Genome-wide association study of pulpal and apical diseases.Nature communications · 2025Article
- Unraveling an enhancer-silencer regulatory element showing epistatic interaction with a variant that escaped genome-wide association studies.Cell genomics · 2025Article
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- Functional and Regulatory Effects of Factor V Leiden and Factor V rs6028 in Breast Cancer.Genes · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
summaryExpression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation. Interactive visualization of tissue-specific eQTLs or splice QTLs (sQTLs) can facilitate our understanding of functional variants relevant to disease-related traits. However, combining the multi-dimensional nature of eQTLs/sQTLs into a concise and informative visualization is challenging. Existing QTL visualization tools provide useful ways to summarize the unprecedented scale of transcriptomic data but are not necessarily tailored to answer questions about the functional interpretations of trait-associated variants or other variants of interest. We developed FIVEx, an interactive eQTL/sQTL browser with an intuitive interface tailored to the functional interpretation of associated variants. It features the ability to navigate seamlessly between different data views while providing relevant tissue- and locus-specific information to offer users a better understanding of population-scale multi-tissue transcriptomic profiles. Our implementation of the FIVEx browser on the EBI eQTL catalogue, encompassing 16 publicly available RNA-seq studies, provides important insights for understanding potential tissue-specific regulatory mechanisms underlying trait-associated signals. AVAILABILITY AND IMPLEMENTATION: A FIVEx instance visualizing EBI eQTL catalogue data can be found at https://fivex.sph.umich.edu. Its source code is open source under an MIT license at https://github.com/statgen/fivex. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.