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Colocalization results for iPSCORE QTLs with 15 GWAS studies.
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创建时间：
2024-10-18
相关数据集
Additional file 3 of The impact of cell type and context-dependent regulatory variants on human immune traits
Additional file 3 A table for all colocalization results.
NIAID Data Ecosystem40
Simulation data from "Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses"
Simulation data fromEliciting priors and relaxing the single causal variant assumption in colocalisation analysesChris WallacePMID: 32310995 PMCID: PMC7192519 DOI: 10.1371/journal.pgen.1008720
Figshare2025-05-13 更新20
Colocalization of GWAS and molecular QTL signals in human vascular smooth muscle cells predict candidate causal genes for coronary artery disease and vascular disorders. Colocalization of GWAS and molecular QTL signals in human vascular smooth muscle cells predict candidate causal genes for coronary artery disease and vascular disorders
Coronary artery disease (CAD) is the leading cause of death worldwide. A recent meta-analysis of genome-wide association studies (GWAS) identified 175 loci associated with CAD. The majority of these l
NIAID Data Ecosystem10
Additional file 9 of An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility
Additional file 9: Table S5. COLOC analysis output for ABO region between COVID-19 and CD209 antigen levels.
Figshare2024-02-28 更新40
Additional file 1: of Intrachromosomal colocalization strengthens co-expression, co-modification and evolutionary conservation of neighboring genes
Table S1. Intrachromosomal colocalized gene pairs which were not linear neighbors. (XLSX 27 kb)
NIAID Data Ecosystem20
