Nature Communications · 2024 · 33 citations · 87 references
Life SciencesGeneticsMolecular GeneticsCardiovascular GeneticsGenetic EpidemiologyMedical GeneticsCardiovascular GenomicsGenetic RiskGenome-wide Association StudiesGenotype-phenotype Association AnalysisGenotype-phenotype CorrelationAncestry-specific Association StudiesCardiometabolic DiseaseColocalization AnalysisEnrichment AnalysisGenetic Association Meta-analysisGenotype-phenotype AssociationsMolecular Genetic ArchitecturePhenome-wide Association Studies
Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture of serum urate control is similar between European and East Asian populations. A transcriptome-wide association study, enrichment analysis, and colocalization analysis in relevant tissues identify candidate serum urate-associated genes, including CTBP1, SKIV2L, and WWP2. A phenome-wide association study using polygenic risk scores identifies serum urate-correlated diseases including heart failure and hypertension. Mendelian randomization and mediation analyses show that serum urate-associated genes might have a causal relationship with serum urate-correlated diseases via mediation effects. This study elucidates our understanding of the genetic architecture of serum urate control.
87
A global reference for human genetic variation
Richard Durbin, Peter Donnelly, Paul Flicek et al. · Nature · 2015 · 20K citations · Full text
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir et al. · Cell Systems · 2015 · 14.5K citations · Full text
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Xavier Robin, Natacha Turck, Alexandre Hainard et al. · BMC Bioinformatics · 2011 · 14K citations · Full text