Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.
- MeSH
- ABC transportér z rodiny G, člen 2 genetika MeSH
- celogenomová asociační studie MeSH
- dna (nemoc) krev epidemiologie genetika MeSH
- genetická predispozice k nemoci MeSH
- genetické lokusy MeSH
- genetické markery * MeSH
- hepatocytární jaderný faktor 1-alfa genetika MeSH
- hepatocytární jaderný faktor 4 genetika MeSH
- játra metabolismus patologie MeSH
- jednonukleotidový polymorfismus * MeSH
- kardiovaskulární nemoci krev epidemiologie genetika MeSH
- kohortové studie MeSH
- kyselina močová krev MeSH
- ledviny metabolismus patologie MeSH
- lidé MeSH
- metabolické nemoci krev epidemiologie genetika MeSH
- nádorové proteiny genetika MeSH
- orgánová specificita MeSH
- signální transdukce * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
- MeSH
- běloši MeSH
- celogenomová asociační studie MeSH
- chronická renální insuficience genetika patofyziologie moč MeSH
- fenotyp MeSH
- genetická predispozice k nemoci * MeSH
- genetické asociační studie metody MeSH
- hodnoty glomerulární filtrace MeSH
- jednonukleotidový polymorfismus MeSH
- kvantitativní znak dědičný * MeSH
- lidé MeSH
- lokus kvantitativního znaku * MeSH
- mapování chromozomů MeSH
- typy dědičnosti MeSH
- uromodulin moč MeSH
- vyšetření funkce ledvin MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- práce podpořená grantem MeSH
