Nature Communications (Apr 2024)

Large-scale cross-ancestry genome-wide meta-analysis of serum urate

  • Chamlee Cho,
  • Beomsu Kim,
  • Dan Say Kim,
  • Mi Yeong Hwang,
  • Injeong Shim,
  • Minku Song,
  • Yeong Chan Lee,
  • Sang-Hyuk Jung,
  • Sung Kweon Cho,
  • Woong-Yang Park,
  • Woojae Myung,
  • Bong-Jo Kim,
  • Ron Do,
  • Hyon K. Choi,
  • Tony R. Merriman,
  • Young Jin Kim,
  • Hong-Hee Won

DOI
https://doi.org/10.1038/s41467-024-47805-4
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 17

Abstract

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Abstract 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.