ArticleNucleic acids research2024
COLOCdb: a comprehensive resource for multi-model colocalization of complex traits.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Environmental epigenetic modifiers in neurodegenerative diseases: a systematic review of epigenomic mechanisms and therapeutic targets.Frontiers in epigenetics and epigenomics · 2026Pooled it
- pGWAS-Portal: a comprehensive online platform for integrative post-genome-wide association study analysis.BMC genomics · 2026Article
- Transcriptional mechanisms of sex-biased gene expression and their connections to disease-associated variation.Human molecular genetics · 2026Article
- Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution.Nucleic acids research · 2026Article
- Analysis of Genomic and Transcriptomic Data Revealed Key Genes and Processes in the Development of Major Depressive Disorder.International journal of molecular sciences · 2025Article
- GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics.Nucleic acids research · 2025Article
- Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens.Human genomics · 2024Review
- Pleiotropic expression quantitative trait loci are enriched in enhancers and transcription factor binding sites and impact more genes.Computational and structural biotechnology journal · 2024Article
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- Multimodal analysis of RNA sequencing data powers discovery of complex trait genetics.Nature communications · 2024Article
- Genetically predicted hypothyroidism, thyroid hormone treatment, and the risk of cardiovascular diseases: a mendelian randomization study.BMC cardiovascular disorders · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Context-specific eQTLs reveal causal genes underlying shared genetic architecture of critically ill COVID-19 and idiopathic pulmonary fibrosis.medRxiv : the preprint server for health sciences · 2024Article
- Multimodal analysis of RNA sequencing data powers discovery of complex trait genetics.bioRxiv : the preprint server for biology · 2024Article
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10 authors.
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Abstract
Large-scale genome-wide association studies (GWAS) have provided profound insights into complex traits and diseases. Yet, deciphering the fine-scale molecular mechanisms of how genetic variants manifest to cause the phenotypes remains a daunting task. Here, we present COLOCdb (https://ngdc.cncb.ac.cn/colocdb), a comprehensive genetic colocalization database by integrating more than 3000 GWAS summary statistics and 13 types of xQTL to date. By employing two representative approaches for the colocalization analysis, COLOCdb deposits results from three key components: (i) GWAS-xQTL, pair-wise colocalization between GWAS loci and different types of xQTL, (ii) GWAS-GWAS, pair-wise colocalization between the trait-associated genetic loci from GWASs and (iii) xQTL-xQTL, pair-wise colocalization between the genetic loci associated with molecular phenotypes in xQTLs. These results together represent the most comprehensive colocalization analysis, which also greatly expands the list of shared variants with genetic pleiotropy. We expect that COLOCdb can serve as a unique and useful resource in advancing the discovery of new biological mechanisms and benefit future functional studies.
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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 Socratic graph.