X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research.
- MeSH
- androgeny * genetika MeSH
- celogenomová asociační studie * MeSH
- genetická predispozice k nemoci MeSH
- jednonukleotidový polymorfismus MeSH
- ledviny MeSH
- lidé MeSH
- lidské chromozomy X genetika MeSH
- responzivní elementy MeSH
- tetraspaniny genetika MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
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
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.
- MeSH
- celogenomová asociační studie metody MeSH
- dospělí MeSH
- elektrokardiografie metody MeSH
- genetická predispozice k nemoci MeSH
- genotyp MeSH
- jednonukleotidový polymorfismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- myokard metabolismus MeSH
- náhlá srdeční smrt etiologie MeSH
- senioři MeSH
- srdeční arytmie genetika metabolismus MeSH
- srdeční komory metabolismus MeSH
- syndrom dlouhého QT genetika metabolismus MeSH
- vápníková signalizace genetika MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH