Campbell, Archie OR 0000000301985078 Dotaz Zobrazit nápovědu
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
Gout is a chronic disease that is caused by an innate immune response to deposited monosodium urate crystals in the setting of hyperuricemia. Here, we provide insights into the molecular mechanism of the poorly understood inflammatory component of gout from a genome-wide association study (GWAS) of 2.6 million people, including 120,295 people with prevalent gout. We detected 377 loci and 410 genetically independent signals (149 previously unreported loci in urate and gout). An additional 65 loci with signals in urate (from a GWAS of 630,117 individuals) but not gout were identified. A prioritization scheme identified candidate genes in the inflammatory process of gout, including genes involved in epigenetic remodeling, cell osmolarity and regulation of NOD-like receptor protein 3 (NLRP3) inflammasome activity. Mendelian randomization analysis provided evidence for a causal role of clonal hematopoiesis of indeterminate potential in gout. Our study identifies candidate genes and molecular processes in the inflammatory pathogenesis of gout suitable for follow-up studies.
- MeSH
- celogenomová asociační studie * MeSH
- dna (nemoc) * genetika MeSH
- genetická predispozice k nemoci * MeSH
- hyperurikemie genetika MeSH
- jednonukleotidový polymorfismus * MeSH
- kyselina močová * MeSH
- lidé MeSH
- mendelovská randomizace MeSH
- protein NLRP3 genetika MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2 diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk. METHODS: In this mendelian randomisation study, we used data from cohort studies, randomised controlled trials, case control studies, and genetic consortia to estimate associations of PCSK9 genetic variants with LDL cholesterol, fasting blood glucose, HbA1c, fasting insulin, bodyweight, waist-to-hip ratio, BMI, and risk of type 2 diabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores. FINDINGS: Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL cholesterol showed associations with increased fasting glucose (0·09 mmol/L, 95% CI 0·02 to 0·15), bodyweight (1·03 kg, 0·24 to 1·82), waist-to-hip ratio (0·006, 0·003 to 0·010), and an odds ratio for type diabetes of 1·29 (1·11 to 1·50). Based on the collected data, we did not identify associations with HbA1c (0·03%, -0·01 to 0·08), fasting insulin (0·00%, -0·06 to 0·07), and BMI (0·11 kg/m2, -0·09 to 0·30). INTERPRETATION: PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes. In trials of PCSK9 inhibitor drugs, investigators should carefully assess these safety outcomes and quantify the risks and benefits of PCSK9 inhibitor treatment, as was previously done for statins. FUNDING: British Heart Foundation, and University College London Hospitals NHS Foundation Trust (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre.
- MeSH
- diabetes mellitus 2. typu krev diagnóza genetika MeSH
- genetická predispozice k nemoci genetika MeSH
- genetická variace genetika MeSH
- kohortové studie MeSH
- krevní glukóza metabolismus MeSH
- LDL-cholesterol krev genetika MeSH
- lidé MeSH
- mendelovská randomizace metody MeSH
- proproteinkonvertasa subtilisin/kexin typu 9 genetika MeSH
- randomizované kontrolované studie jako téma metody MeSH
- studie případů a kontrol MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články 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
BACKGROUND: We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. METHODS: Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. RESULTS: The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer's disease - outcomes for which large-scale trial data were unavailable. CONCLUSIONS: Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
- MeSH
- anticholesteremika škodlivé účinky terapeutické užití MeSH
- biologické markery krev MeSH
- celogenomová asociační studie MeSH
- cévní mozková příhoda epidemiologie prevence a kontrola MeSH
- down regulace MeSH
- dyslipidemie krev farmakoterapie epidemiologie genetika MeSH
- hodnocení rizik MeSH
- infarkt myokardu epidemiologie prevence a kontrola MeSH
- inhibitory serinových proteinas škodlivé účinky terapeutické užití MeSH
- ischemie mozku epidemiologie prevence a kontrola MeSH
- jednonukleotidový polymorfismus * MeSH
- LDL-cholesterol krev MeSH
- lidé MeSH
- PCSK9 inhibitory MeSH
- proproteinkonvertasa subtilisin/kexin typu 9 genetika MeSH
- randomizované kontrolované studie jako téma MeSH
- rizikové faktory MeSH
- výsledek terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.
- MeSH
- alely MeSH
- celogenomová asociační studie MeSH
- checkpoint kinasa 1 genetika MeSH
- checkpoint kinasa 2 genetika MeSH
- diabetes mellitus 2. typu MeSH
- dieta MeSH
- dlouhověkost genetika MeSH
- dospělí MeSH
- fertilita genetika MeSH
- genetická predispozice k nemoci MeSH
- kosti a kostní tkáň metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- menopauza genetika MeSH
- myši inbrední C57BL MeSH
- myši MeSH
- ovarium metabolismus MeSH
- předčasná menopauza genetika MeSH
- primární ovariální insuficience genetika MeSH
- protein FMRP genetika MeSH
- stárnutí genetika MeSH
- uterus MeSH
- zdravé stárnutí genetika MeSH
- zvířata MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- myši MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Dálný východ MeSH
- Evropa 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