ArticleBriefings in bioinformatics2023
xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs.
Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Genetic links between female reproductive milestones and major depressive disorder: evidence from a common genetic factor model.Archives of women's mental health · 2026Article
- Pleiotropy and eQTL analysis identify shared genetic architecture of lipid traits in African-ancestry populations.Human molecular genetics · 2026Article
- Article
- Genetic architecture of sleep in a genome wide association study of device measured sleep traits.Nature communications · 2026Article
- PRISM-xQTL: Pleiotropic Relationships Integrated with System-level Multiomic QTL analysis for causal genes and molecular mediators in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- sc-eQTL unveil immunogenetic architecture of polycystic ovary syndrome.Scientific reports · 2026Article
- Genetic association between PCSK9 and coronary artery calcification mediated by inflammatory cytokines.Frontiers in cardiovascular medicine · 2026Article
- Multi-omics and comprehensive multi-trait analysis identify shared genetic etiology of heart failure and related cancers.Human genomics · 2025Article
- Integrating axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits.Nature communications · 2025Article
- Spatiotemporal dynamics of RERE in schizophrenia pathogenesis: insights from multi-omics and single-cell sequencing.Schizophrenia (Heidelberg, Germany) · 2025Article
- Statins Regulate Stem Cell Growth Factor-β to Balance Osteogenesis and Adipogenesis in Mesenchymal Stem Cells, Endowing Anti-Osteonecrosis Effects.Journal of cellular and molecular medicine · 2025Article
- Immune, blood-brain barrier, and metabolic biomarkers mediate gut-brain axis crosstalk in alzheimer's disease.Biomarker research · 2025Article
- Genomic Correlations, Shared Loci, and Drug Targets Between Polycystic Ovary Syndrome and Asthma: Insights From Genome-wide Association Analysis.The Journal of clinical endocrinology and metabolism · 2025Article
- Gene-Smoking Interaction in Insulin Sensitivity and β-Cell Function Among Normal Glucose Tolerance Individuals.Journal of diabetes · 2025Article
- Identification of novel susceptibility loci for testicular germ cell tumors through multi-omics analysis.Discover oncology · 2025Article
- Enhancer RNA Transcriptome-Wide Association Study Reveals a Distinctive Class of Pan-Cancer Susceptibility eRNAs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Genetic associations of plasma metabolites with immune cells in hyperthyroidism revealed by Mendelian randomization and GWAS-sc-eQTLs xQTLbiolinks analysis.Scientific reports · 2025Article
- Association Between Genetically Elevated Omega-3 Polyunsaturated Fatty Acids and Skin Disease Risk: A Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2025Article
- scQTLbase: an integrated human single-cell eQTL database.Nucleic acids research · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have identified thousands of disease-associated non-coding variants, posing urgent needs for functional interpretation. Molecular Quantitative Trait Loci (xQTLs) such as eQTLs serve as an essential intermediate link between these non-coding variants and disease phenotypes and have been widely used to discover disease-risk genes from many population-scale studies. However, mining and analyzing the xQTLs data presents several significant bioinformatics challenges, particularly when it comes to integration with GWAS data. Here, we developed xQTLbiolinks as the first comprehensive and scalable tool for bulk and single-cell xQTLs data retrieval, quality control and pre-processing from public repositories and our integrated resource. In addition, xQTLbiolinks provided a robust colocalization module through integration with GWAS summary statistics. The result generated by xQTLbiolinks can be flexibly visualized or stored in standard R objects that can easily be integrated with other R packages and custom pipelines. We applied xQTLbiolinks to cancer GWAS summary statistics as case studies and demonstrated its robust utility and reproducibility. xQTLbiolinks will profoundly accelerate the interpretation of disease-associated variants, thus promoting a better understanding of disease etiologies. xQTLbiolinks is available at https://github.com/lilab-bioinfo/xQTLbiolinks.
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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.