Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases
Open accessAbstract
Uromodulin ( UMOD ) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD . Experimental validation of the third antibody-based locus, B4GALNT2 , showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin’s complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.
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Studies incorporating comparisons to MS protein measures, measures of gene transcript abundance, and/or functional validation have established cases where platform-discordant PAV cis-pQTL reflect differences in probe binding to genetically encoded isoforms, including for uromodulin and apolipoprotein-1.
“While PAVs may certainly alter a protein’s overall abundance through impacts on protein stability and other mechanisms, studies incorporating comparisons to MS protein measures, measures of gene transcript abundance, and/or functional validation have established cases where platform-discordant PAV cis-pQTL reflect differences in probe binding to genetically encoded isoforms, including for uromodul”
From Cross-ancestry comparison of aptamer and antibody protein measures (2026) · cites this paper as [31]
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The Ashwell receptor mitigates the lethal coagulopathy of sepsis
Grewal, P. K., Uchiyama, S., Ditto, D., Varki, N., Le, D. T., Nizet, V., & Marth, J. D. (2008) · Nature Medicine · doi:10.1038/nm1760 · Cited by 374 · see citing works
Variant <i>ASGR1</i> Associated with a Reduced Risk of Coronary Artery Disease
Nioi, P., Sigurdsson, A., Thorleifsson, G., Helgason, H., Agustsdottir, A. B., Norddahl, G. L., Helgadottir, A., Magnusdottir, A., Jonasdottir, A., Gretarsdottir, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1508419 · Cited by 189 · see citing works
Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)
Lindsay, T., Westgate, K., Wijndaele, K., Hollidge, S., Kerrison, N., Forouhi, N., Griffin, S., Wareham, N., & Brage, S. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0882-6 · Cited by 83 · see citing works
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Research works printed but not linked: 73
- [1]Eckardt KU et al Evolving importance of kidney disease: from subspecialty to global health burden Lancet 2013 382 9887 158 169 10.1016/S0140-6736(13)60439-0 23727165 · DOI · Paper page
- [2]Matsushita K et al Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data Lancet Diabetes Endocrinol 2015 3 7 514 525 10.1016/S2213-8587(15)00040-6 26028594 PMC4594193 · DOI
- [3]GBD 2016 Causes of Death Collaborators Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016 Lancet 2017 390 10100 1151 1210 10.1016/S0140-6736(17)32152-9 28919116 PMC5605883 · DOI · Paper page
- [4]Köttgen A et al Multiple loci associated with indices of renal function and chronic kidney disease Nat Genet 2009 41 6 712 717 10.1038/ng.377 19430482 PMC3039280 · DOI
- [5]Kanai M et al Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases Nat Genet 2018 50 3 390 400 10.1038/s41588-018-0047-6 29403010 · DOI · Paper page
- [6]Morris AP et al Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies Nat Commun 2019 10 1 29 10.1038/s41467-018-07867-7 30604766 PMC6318312 · DOI
- [7]Wuttke M et al A catalog of genetic loci associated with kidney function from analyses of a million individuals Nat Genet 2019 51 6 957 972 10.1038/s41588-019-0407-x 31152163 PMC6698888 · DOI
- [8]Schaeffer C et al Uromodulin: roles in health and disease Annu Rev Physiol 2021 83 477 501 10.1146/annurev-physiol-031620-092817 33566673 · DOI
- [9]Tokonami N et al Uromodulin is expressed in the distal convoluted tubule, where it is critical for regulation of the sodium chloride cotransporter NCC Kidney Int 2018 94 4 701 715 10.1016/j.kint.2018.04.021 30007527 · DOI
- [10]Weiss GL et al Architecture and function of human uromodulin filaments in urinary tract infections Science 2020 369 6506 1005 1010 10.1126/science.aaz9866 32616672 · DOI
- [11]Padmanabhan S et al Genome-wide association study of blood pressure extremes identifies variant near UMOD associated with hypertension PLoS Genet 2010 6 10 e1001177 10.1371/journal.pgen.1001177 21082022 PMC2965757 · DOI
- [12]Hoffmann TJ et al Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation Nat Genet 2017 49 1 54 64 10.1038/ng.3715 27841878 PMC5370207 · DOI
- [13]Tin A et al Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels Nat Genet 2019 51 10 1459 1474 10.1038/s41588-019-0504-x 31578528 PMC6858555 · DOI
- [14]Gudbjartsson DF et al Association of variants at UMOD with chronic kidney disease and kidney stones-role of age and comorbid diseases PLoS Genet 2010 6 7 e1001039 10.1371/journal.pgen.1001039 20686651 PMC2912386 · DOI
- [15]Trudu M et al Common noncoding UMOD gene variants induce salt-sensitive hypertension and kidney damage by increasing uromodulin expression Nat Med 2013 19 12 1655 1660 10.1038/nm.3384 24185693 PMC3856354 · DOI
- [16]Olden M et al Common variants in UMOD associate with urinary uromodulin levels: a meta-analysis J Am Soc Nephrol 2014 25 8 1869 1882 10.1681/ASN.2013070781 24578125 PMC4116060 · DOI
- [17]Hart TC et al Mutations of the UMOD gene are responsible for medullary cystic kidney disease 2 and familial juvenile hyperuricaemic nephropathy J Med Genet 2002 39 12 882 892 10.1136/jmg.39.12.882 12471200 PMC1757206 · DOI
- [18]Devuyst O et al Autosomal dominant tubulointerstitial kidney disease Nat Rev Dis Primers 2019 5 1 60 10.1038/s41572-019-0109-9 31488840 · DOI
- [19]Santos R et al A comprehensive map of molecular drug targets Nat Rev Drug Discov 2017 16 1 19 34 10.1038/nrd.2016.230 27910877 PMC6314433 · DOI · Paper page
- [20]Steubl D et al Association of serum and urinary uromodulin and their correlates in older adults-The Cardiovascular Health study Nephrology (Carlton) 2020 25 7 522 526 10.1111/nep.13688 31846120 PMC7278530 · DOI
- [21]Steubl D et al Plasma uromodulin correlates with kidney function and identifies early stages in chronic kidney disease patients Medicine (Baltimore) 2016 95 10 e3011 10.1097/MD.0000000000003011 26962815 PMC4998896 · DOI
- [22]Scherberich JE et al Serum uromodulin-a marker of kidney function and renal parenchymal integrity Nephrol Dial Transplant 2018 33 2 284 295 10.1093/ndt/gfw422 28206617 PMC5837243 · DOI
- [23]Delgado GE et al Serum uromodulin and mortality risk in patients undergoing coronary angiography J Am Soc Nephrol 2017 28 7 2201 2210 10.1681/ASN.2016111162 28242751 PMC5491294 · DOI
- [24]Then C et al Serum uromodulin is associated with but does not predict type 2 diabetes in elderly KORA F4/FF4 study participants J Clin Endocrinol Metab 2019 104 9 3795 3802 10.1210/jc.2018-02557 30892596 · DOI
- [25]McCarthy S et al A reference panel of 64,976 haplotypes for genotype imputation Nat Genet 2016 48 10 1279 1283 10.1038/ng.3643 27548312 PMC5388176 · DOI · Paper page
- [26]Taliun D et al Sequencing of 53,831 diverse genomes from the NHLBI TOPMed program Nature 2021 590 7845 290 299 10.1038/s41586-021-03205-y 33568819 PMC7875770 · DOI · Paper page
- [27]Okajima T et al Molecular cloning of a novel alpha2,3-sialyltransferase (ST3Gal VI) that sialylates type II lactosamine structures on glycoproteins and glycolipids J Biol Chem 1999 274 17 11479 11486 10.1074/jbc.274.17.11479 10206952 · DOI
- [28]Van Rooijen JJ et al Glycosylation sites and site-specific glycosylation in human Tamm-Horsfall glycoprotein Glycobiology 1999 9 1 21 30 10.1093/glycob/9.1.21 9884403 · DOI
- [29]Then C et al Serum uromodulin and risk for cardiovascular morbidity and mortality in the community-based KORA F4 study Atherosclerosis 2020 297 1 7 10.1016/j.atherosclerosis.2020.01.030 32058862 · DOI
- [30]Steubl D et al Association of serum uromodulin with death, cardiovascular events, and kidney failure in CKD Clin J Am Soc Nephrol 2020 15 5 616 624 10.2215/CJN.11780919 32291270 PMC7269219 · DOI
- [31]GTEx Consortium The GTEx Consortium atlas of genetic regulatory effects across human tissues Science 2020 369 6509 1318 1330 10.1126/science.aaz1776 32913098 PMC7737656 · DOI · Paper page
- [32]Stenfelt L et al Missense mutations in the C-terminal portion of the B4GALNT2-encoded glycosyltransferase underlying the Sd(a-) phenotype Biochem Biophys Rep 2019 19 100659 10.1016/j.bbrep.2019.100659 31367682 PMC6646742 · DOI
- [33]Dall’Olio F et al The expanding roles of the Sd(a)/Cad carbohydrate antigen and its cognate glycosyltransferase B4GALNT2 Biochim Biophys Acta 2014 1840 1 443 453 10.1016/j.bbagen.2013.09.036 24112972 · DOI
- [34]Qiu C et al Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease Nat Med 2018 24 11 1721 1731 10.1038/s41591-018-0194-4 30275566 PMC6301011 · DOI
- [35]Sun BB et al Genomic atlas of the human plasma proteome Nature 2018 558 7708 73 79 10.1038/s41586-018-0175-2 29875488 PMC6697541 · DOI · Paper page
- [36]Han X et al Using Mendelian randomization to evaluate the causal relationship between serum C-reactive protein levels and age-related macular degeneration Eur J Epidemiol 2020 35 2 139 146 10.1007/s10654-019-00598-z 31900758 · DOI
- [37]Patras KA et al Tamm-Horsfall glycoprotein engages human Siglec-9 to modulate neutrophil activation in the urinary tract Immunol Cell Biol 2017 95 10 960 965 10.1038/icb.2017.63 28829050 PMC5698129 · DOI
- [38]Rampoldi L et al Allelism of MCKD, FJHN and GCKD caused by impairment of uromodulin export dynamics Hum Mol Genet 2003 12 24 3369 3384 10.1093/hmg/ddg353 14570709 · DOI
- [39]Köttgen A et al New loci associated with kidney function and chronic kidney disease Nat Genet 2010 42 5 376 384 10.1038/ng.568 20383146 PMC2997674 · DOI
- [40]Li PT et al Localization of B4GALNT2 and its role in mouse embryo attachment Fertil Steril 2012 97 5 1206 1212 10.1016/j.fertnstert.2012.02.019 22401809 · DOI
- [41]Andes FT et al The human sialic acid-binding immunoglobulin-like lectin Siglec-9 and its murine homolog Siglec-E control osteoclast activity and bone resorption Bone 2021 143 115665 10.1016/j.bone.2020.115665 33007530 · DOI
- [42]Gillies CE et al An eQTL landscape of kidney tissue in human nephrotic syndrome Am J Hum Genet 2018 103 2 232 244 10.1016/j.ajhg.2018.07.004 30057032 PMC6081280 · DOI
- [43]Williams SA et al Plasma protein patterns as comprehensive indicators of health Nat Med 2019 25 12 1851 1857 10.1038/s41591-019-0665-2 31792462 PMC6922049 · DOI · Paper page
- [44]Pietzner M et al Mapping the proteo-genomic convergence of human diseases Science 2021 374 6569 eabj1541 10.1126/science.abj1541 34648354 PMC9904207 · DOI · Paper page
- [45]Malagolini N et al Biosynthesis and expression of the Sda and sialyl Lewis x antigens in normal and cancer colon Glycobiology 2007 17 7 688 697 10.1093/glycob/cwm040 17395692 · DOI
- [46]Sanger R et al Plant agglutinin for another human blood-group Lancet 1971 1 7709 1130 10.1016/s0140-6736(71)91865-4 4102647 · DOI
- [47]Serafini-Cessi F Dall’Olio F Guinea-pig kidney beta-N-acetylgalactosaminyltransferase towards Tamm-Horsfall glycoprotein. Requirement of sialic acid in the acceptor for transferase activity Biochem J 1983 215 3 483 489 10.1042/bj2150483 6229247 PMC1152427 · DOI
- [48]Serafini-Cessi F et al Characterization of N-acetyl-beta-D-galactosaminyltransferase from guinea-pig kidney involved in the biosynthesis of Sda antigen associated with Tamm-Horsfall glycoprotein Carbohydr Res 1986 151 65 76 10.1016/S0008-6215(00)90330-6 3094940 · DOI
- [49]Montiel MD et al Molecular cloning, gene organization and expression of the human UDP-GalNAc:Neu5Acalpha2-3Galbeta-R beta1,4-N-acetylgalactosaminyltransferase responsible for the biosynthesis of the blood group Sda/Cad antigen: evidence for an unusual extended cytoplasmic domain Biochem J 2003 373 pt 2 369 379 10.1042/BJ20021892 12678917 PMC1223490 · DOI
- [50]Mohlke KL et al Mvwf, a dominant modifier of murine von Willebrand factor, results from altered lineage-specific expression of a glycosyltransferase Cell 1999 96 1 111 120 10.1016/S0092-8674(00)80964-2 9989502 · DOI
- [51]Fraser SA et al Regulation of the renal-specific Na+-K+-2Cl- co-transporter NKCC2 by AMP-activated protein kinase (AMPK) Biochem J 2007 405 1 85 93 10.1042/BJ20061850 17341212 PMC1925243 · DOI
- [52]Harris RL et al ASGR1 and ASGR2, the genes that encode the asialoglycoprotein receptor (Ashwell receptor), are expressed in peripheral blood monocytes and show interindividual differences in transcript profile Mol Biol Int 2012 2012 283974 10.1155/2012/283974 22919488 PMC3419429 · DOI
- [55]Weigel PH Yik JH Glycans as endocytosis signals: the cases of the asialoglycoprotein and hyaluronan/chondroitin sulfate receptors Biochim Biophys Acta 2002 1572 2–3 341 363 10.1016/s0304-4165(02)00318-5 12223279 · DOI
- [56]Mi Y et al Functional consequences of mannose and asialoglycoprotein receptor ablation J Biol Chem 2016 291 36 18700 18717 10.1074/jbc.M116.738948 27405760 PMC5009246 · DOI
- [57]Ellies LG et al Sialyltransferase ST3Gal-IV operates as a dominant modifier of hemostasis by concealing asialoglycoprotein receptor ligands Proc Natl Acad Sci U S A 2002 99 15 10042 10047 10.1073/pnas.142005099 12097641 PMC126621 · DOI
- [58]Rodriguez E et al Sialic acids in pancreatic cancer cells drive tumour-associated macrophage differentiation via the Siglec receptors Siglec-7 and Siglec-9 Nat Commun 2021 12 1 1270 10.1038/s41467-021-21550-4 33627655 PMC7904912 · DOI
- [59]Wisnovsky S et al Genome-wide CRISPR screens reveal a specific ligand for the glycan-binding immune checkpoint receptor Siglec-7 Proc Natl Acad Sci U S A 2021 118 5 e2015024118 10.1073/pnas.2015024118 33495350 PMC7865165 · DOI
- [60]Fried LP et al The Cardiovascular Health study: design and rationale Ann Epidemiol 1991 1 3 263 276 10.1016/1047-2797(91)90005-W 1669507 · DOI · Paper page
- [61]Eckardt KU et al The German chronic kidney disease (GCKD) study: design and methods Nephrol Dial Transplant 2012 27 4 1454 1460 10.1093/ndt/gfr456 21862458 · DOI
- [62]Holle R et al KORA--a research platform for population based health research Gesundheitswesen 2005 67 suppl 1 S19 S25 10.1055/s-2005-858235 16032513 · DOI
- [63]Winkelmann BR et al Rationale and design of the LURIC study--a resource for functional genomics, pharmacogenomics and long-term prognosis of cardiovascular disease Pharmacogenomics 2001 2 1 suppl 1 S1 S73 10.1517/14622416.2.1.S1 11258203 · DOI
- [64]ORIGIN Trial Investigators et al Rationale, design, and baseline characteristics for a large international trial of cardiovascular disease prevention in people with dysglycemia: the ORIGIN Trial (Outcome Reduction with an Initial Glargine Intervention) Am Heart J 2008 155 1 26 32 10.1016/j.ahj.2007.09.009 18082485 · DOI
- [65]Wright JD et al The ARIC (Atherosclerosis Risk in Communities) study: JACC focus seminar 3/8 J Am Coll Cardiol 2021 77 23 2939 2959 10.1016/j.jacc.2021.04.035 34112321 PMC8667593 · DOI
- [67]Steubl D et al Association of serum uromodulin with ESKD and kidney function decline in the elderly: the Cardiovascular Health study Am J Kidney Dis 2019 74 4 501 509 10.1053/j.ajkd.2019.02.024 31128770 PMC7188359 · DOI
- [68]Then C et al Serum uromodulin is inversely associated with the metabolic syndrome in the KORA F4 study Endocr Connect 2019 8 10 1363 1371 10.1530/EC-19-0352 31505464 PMC6790901 · DOI
- [69]Sjaarda J et al Blood HER2 and uromodulin as causal mediators of CKD J Am Soc Nephrol 2018 29 4 1326 1335 10.1681/ASN.2017070812 29511113 PMC5875953 · DOI
- [70]Fuchsberger C et al GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data Bioinformatics 2012 28 3 444 445 10.1093/bioinformatics/btr679 22155946 · DOI
- [71]Willer CJ et al METAL: fast and efficient meta-analysis of genomewide association scans Bioinformatics 2010 26 17 2190 2191 10.1093/bioinformatics/btq340 20616382 PMC2922887 · DOI · Paper page
- [72]Roy A et al I-TASSER: a unified platform for automated protein structure and function prediction Nat Protoc 2010 5 4 725 738 10.1038/nprot.2010.5 20360767 PMC2849174 · DOI
- [73]Pandurangan AP et al SDM: a server for predicting effects of mutations on protein stability Nucleic Acids Res 2017 45 w1 W229 W235 10.1093/nar/gkx439 28525590 PMC5793720 · DOI
- [74]Ittisoponpisan S et al Can predicted protein 3D structures provide reliable insights into whether missense variants are disease associated? J Mol Biol 2019 431 11 2197 2212 10.1016/j.jmb.2019.04.009 30995449 PMC6544567 · DOI
- [75]Schaeffer C et al Analysis of uromodulin polymerization provides new insights into the mechanisms regulating ZP domain-mediated protein assembly Mol Biol Cell 2009 20 2 589 599 10.1091/mbc.e08-08-0876 19005207 PMC2626557 · DOI
- [76]Sheng X et al Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments Nat Genet 2021 53 9 1322 1333 10.1038/s41588-021-00909-9 34385711 PMC9338440 · DOI
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Cross-ancestry comparison of aptamer and antibody protein measures
Nicholas, J. C., Katz, D. H., Tahir, U. A., Debban, C. L., Aguet, F., Blackwell, T., Bowler, R. P., Broadaway, K. A., Chen, J., Clish, C. B., et al. (2026) · Nature Communications · doi:10.1038/s41467-025-67814-1 · Cited by 13 · see citing works
Self-citation
- Authors
- Li, Y., Cheng, Y., Consolato, F., Schiano, G., Chong, M. R., Pietzner, M., Nguyen, N. Q. H., Scherer, N., Biggs, M. L., Kleber, M. E., Haug, S., Göçmen, B., Pigeyre, M., Sekula, P., Steinbrenner, I., Schlosser, P., Joseph, C. B., Brody, J. A., Grams, M. E., Hayward, C., Schultheiss, U. T., Krämer, B. K., Kronenberg, F., Peters, A., Seissler, J., Steubl, D., Then, C., Wuttke, M., März, W., Eckardt, K.-U., Gieger, C., Boerwinkle, E., Psaty, B. M., Coresh, J., Oefner, P. J., Pare, G., Langenberg, C., Scherberich, J. E., Yu, B., Akilesh, S., Devuyst, O., Rampoldi, L., & Köttgen, A.
- Affiliations
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, and
- University of Freiburg (DE)
- IRCCS Ospedale San Raffaele (IT)
- University of Zurich (CH)
- Population Health Research Institute (CA)
- University of Cambridge (GB)
- The University of Texas Health Science Center at Houston (US)
- University of Washington (US)
- Heidelberg University (DE)
- Johns Hopkins University (US)
- Western General Hospital (GB)
- Cardiovascular Health Research Unit, Department of Medicine, and
- Innsbruck Medical University (AT)
- Helmholtz Munich (DE)
- LMU Klinikum (DE)
- Tufts Medical Center (US)
- Medical University of Graz (AT)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Baylor College of Medicine (US)
- University of Regensburg (DE)
- Population Health Research Institute and Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada.
- München Klinik Harlaching (DE)
- Corresponding author
- Rampoldi, Luca
- Köttgen, Anna
- ORCID
- Li, Yong
- Cheng, Yurong
- Consolato, Francesco
- Schiano, Guglielmo
- Chong, Michael R.
- Pietzner, Maik
- Scherer, Nora
- Kleber, Marcus E.
- Haug, Stefan
- Göçmen, Burulça
- Pigeyre, Marie
- Sekula, Peggy
- Steinbrenner, Inga
- Schlosser, Pascal
- Joseph, Christina B.
- Brody, Jennifer A.
- Grams, Morgan E.
- Hayward, Caroline
- Schultheiss, Ulla T.
- Krämer, Bernhard K.
- Kronenberg, Florian
- Peters, Annette
- Seissler, Jochen
- Steubl, Dominik
- Then, Cornelia
- Wuttke, Matthias
- März, Winfried
- Eckardt, Kai-Uwe
- Gieger, Christian
- Boerwinkle, Eric
- Psaty, Bruce M.
- Coresh, Josef
- Oefner, Peter J.
- Pare, Guillaume
- Langenberg, Claudia
- Yu, Bing
- Akilesh, Shreeram
- Devuyst, Olivier
- Rampoldi, Luca
- Köttgen, Anna
- Venue
- JCI Insight
- Published
- 2022-05-23
- Volume
- 7
- Issue
- 10
- ISSN
- 2379-3708 (ISSN-L)
- PMC
- PMC9220927
- OpenAlex
- W4224240370
- Cited by
- 22
- References
- 3
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 6
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JCI Insight (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
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- Digital Access to Libraries (submittedVersion, other-oa)
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- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
- Apollo (cc-by)
- Zurich Open Repository and Archive (University of Zurich)
- University of Regensburg Publication Server (University of Regensburg)
- Funders
- Canadian Institutes of Health Research (Frederick Banting, Charles Best Canada Graduate Scholarships Doctoral Award)
- Chinese Scholarship Council (Doctoral Scholarship)
- MRC Human Genetics Unit programme (U. MC_UU_00007/10)
- German Research Foundation (KO 3598/5-1,431984000 - SFB 1453,EXC-2189 – Project ID 390939984)
- Medical Research Council (MC_UU_00006/1)
- Italian Society of Nephrology (Adotta un progetto di ricerca)
- Italian Ministry of Health (grant RF-2016-02362623)
- University of Freiburg (EQUIP Program)
- Deutsche Diabetes Gesellschaft (Support for C.T.)
- German Federal Ministry of Education and Research (grant 01ZX1912B)
- Swiss National Science Foundation (project grant 310030_189044)
- Swiss National Centre of Competence in Research (The work of O.D., G.S.)
- Kidney Control of Homeostasis (Kidney.CH)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Nephrology › Renal Diseases and Glomerulopathies
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Keywords
- uromodulin, PRKAG2, B4GALNT2, N-acetylgalactosaminyltransferase, cis effect, chromatin accessibility, chronic kidney disease, blood pressure, complex traits, antibody-based assays, glycosylation, loss-of-function mutations
- MeSH terms
- Blood Pressure, Humans, Hypertension, Renal Insufficiency, Chronic, Genome-Wide Association Study, Uromodulin
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