{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:17:19Z","timestamp":1788221839651,"version":"build-2803163510"},"reference-count":138,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":29,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Commun"],"DOI":"10.1038\/s41467-026-76153-8","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T15:19:47Z","timestamp":1785770387000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Genome-wide DNA methylation analysis revealed epigenetic mechanism underlying end-stage renal disease"],"prefix":"10.1038","volume":"17","author":[{"given":"Xiaohong","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dianchun","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JinJin","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Resham lal","family":"Gurung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2008-0955","authenticated-orcid":false,"given":"Zhiming","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Yiamunaa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongying","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4560-4599","authenticated-orcid":false,"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinghong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Gan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3061-5925","authenticated-orcid":false,"given":"Ping","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jihong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaozhong","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8757-4549","authenticated-orcid":false,"given":"Haiqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6608-2051","authenticated-orcid":false,"given":"Rajkumar","family":"Dorajoo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7554-4975","authenticated-orcid":false,"given":"Xin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1742-5817","authenticated-orcid":false,"given":"Su Chi","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6383-5986","authenticated-orcid":false,"given":"Xueqing","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3255-3019","authenticated-orcid":false,"given":"Jianjun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"76153_CR1","doi-asserted-by":"publisher","first-page":"A7","DOI":"10.1053\/j.ajkd.2021.01.002","volume":"77","author":"KL Johansen","year":"2021","unstructured":"Johansen, K. L. et al. US renal data system 2020 annual data report: epidemiology of kidney disease in the United States. Am. J. Kidney Dis. 77, A7\u2013A8 (2021).","journal-title":"Am. J. Kidney Dis."},{"key":"76153_CR2","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/S0140-6736(20)30045-3","volume":"395","author":"Collaboration, G.B.D.C.K.D","year":"2020","unstructured":"Collaboration, G.B.D.C.K.D Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 395, 709\u2013733 (2020).","journal-title":"Lancet"},{"key":"76153_CR3","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1001\/jamainternmed.2022.6817","volume":"183","author":"L Wang","year":"2023","unstructured":"Wang, L. et al. Prevalence of chronic kidney disease in China: results from the sixth China chronic disease and risk factor surveillance. JAMA Intern. Med. 183, 298\u2013310 (2023).","journal-title":"JAMA Intern. Med."},{"key":"76153_CR4","doi-asserted-by":"publisher","first-page":"696","DOI":"10.1038\/s41581-022-00616-6","volume":"18","author":"K Matsushita","year":"2022","unstructured":"Matsushita, K. et al. Epidemiology and risk of cardiovascular disease in populations with chronic kidney disease. Nat. Rev. Nephrol. 18, 696\u2013707 (2022).","journal-title":"Nat. Rev. Nephrol."},{"key":"76153_CR5","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.kisu.2017.07.004","volume":"7","author":"GT Obrador","year":"2017","unstructured":"Obrador, G. T. et al. Genetic and environmental risk factors for chronic kidney disease. Kidney Int. Suppl. 7, 88\u2013106 (2017).","journal-title":"Kidney Int. Suppl."},{"key":"76153_CR6","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1056\/NEJMra2308577","volume":"391","author":"A Vivante","year":"2024","unstructured":"Vivante, A. Genetics of chronic kidney disease. N. Engl. J. Med. 391, 627\u2013639 (2024).","journal-title":"N. Engl. J. Med."},{"key":"76153_CR7","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1681\/ASN.0000000000000170","volume":"34","author":"C Robinson-Cohen","year":"2023","unstructured":"Robinson-Cohen, C. et al. Genome-wide association study of CKD progression. J. Am. Soc. Nephrol. 34, 1547\u20131559 (2023).","journal-title":"J. Am. Soc. Nephrol."},{"key":"76153_CR8","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1681\/ASN.0000000000000066","volume":"34","author":"M Han","year":"2023","unstructured":"Han, M. et al. Novel genetic variants associated with chronic kidney disease progression. J. Am. Soc. Nephrol. 34, 857\u2013875 (2023).","journal-title":"J. Am. Soc. Nephrol."},{"key":"76153_CR9","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1016\/j.kint.2022.05.021","volume":"102","author":"M Gorski","year":"2022","unstructured":"Gorski, M. et al. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies. Kidney Int. 102, 624\u2013639 (2022).","journal-title":"Kidney Int."},{"key":"76153_CR10","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1038\/s41581-019-0135-6","volume":"15","author":"M Kato","year":"2019","unstructured":"Kato, M. & Natarajan, R. Epigenetics and epigenomics in diabetic kidney disease and metabolic memory. Nat. Rev. Nephrol. 15, 327\u2013345 (2019).","journal-title":"Nat. Rev. Nephrol."},{"key":"76153_CR11","doi-asserted-by":"publisher","first-page":"950","DOI":"10.1038\/s41588-022-01097-w","volume":"54","author":"H Liu","year":"2022","unstructured":"Liu, H. et al. Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nat. Genet. 54, 950\u2013962 (2022).","journal-title":"Nat. Genet."},{"key":"76153_CR12","doi-asserted-by":"publisher","first-page":"7108","DOI":"10.3390\/ijms23137108","volume":"23","author":"J Rysz","year":"2022","unstructured":"Rysz, J., Franczyk, B., Rysz-G\u00f3rzy\u0144ska, M. & Gluba-Brz\u00f3zka, A. Are alterations in DNA methylation related to CKD development? Int. J. Mol. Sci. 23, 7108 (2022).","journal-title":"Int. J. Mol. Sci."},{"key":"76153_CR13","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-27234-3","volume":"12","author":"P Schlosser","year":"2021","unstructured":"Schlosser, P. et al. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat. Commun. 12, 7174 (2021).","journal-title":"Nat. Commun."},{"key":"76153_CR14","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-10378-8","volume":"10","author":"C Gluck","year":"2019","unstructured":"Gluck, C. et al. Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease. Nat. Commun. 10, 2461 (2019).","journal-title":"Nat. Commun."},{"key":"76153_CR15","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-021-00877-z","volume":"13","author":"CE Breeze","year":"2021","unstructured":"Breeze, C. E. et al. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci. Genome Med. 13, 74 (2021).","journal-title":"Genome Med."},{"key":"76153_CR16","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37837-7","volume":"14","author":"KY Li","year":"2023","unstructured":"Li, K. Y. et al. DNA methylation markers for kidney function and progression of diabetic kidney disease. Nat. Commun. 14, 2543 (2023).","journal-title":"Nat. Commun."},{"key":"76153_CR17","doi-asserted-by":"publisher","first-page":"29013","DOI":"10.1073\/pnas.2005905117","volume":"117","author":"X Sheng","year":"2020","unstructured":"Sheng, X. et al. Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease. Proc. Natl. Acad. Sci. USA 117, 29013\u201329024 (2020).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"76153_CR18","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-34963-6","volume":"13","author":"LJ Smyth","year":"2022","unstructured":"Smyth, L. J. et al. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease. Nat. Commun. 13, 7891 (2022).","journal-title":"Nat. Commun."},{"key":"76153_CR19","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-017-01297-7","volume":"8","author":"AY Chu","year":"2017","unstructured":"Chu, A. Y. et al. Epigenome-wide association studies identify DNA methylation associated with kidney function. Nat. Commun. 8, 1286 (2017).","journal-title":"Nat. Commun."},{"key":"76153_CR20","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1016\/j.kint.2018.01.036","volume":"93","author":"C Qiu","year":"2018","unstructured":"Qiu, C. et al. Cytosine methylation predicts renal function decline in American Indians. Kidney Int. 93, 1417\u20131431 (2018).","journal-title":"Kidney Int."},{"key":"76153_CR21","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.adj3385","volume":"16","author":"Z Chen","year":"2024","unstructured":"Chen, Z. et al. Integrated analysis of blood DNA methylation, genetic variants, circulating proteins, microRNAs, and kidney failure in type 1 diabetes. Sci. Transl. Med. 16, eadj3385 (2024).","journal-title":"Sci. Transl. Med."},{"key":"76153_CR22","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.kisu.2017.07.007","volume":"7","author":"AK Bello","year":"2017","unstructured":"Bello, A. K. et al. Complications of chronic kidney disease: current state, knowledge gaps, and strategy for action. Kidney Int. Suppl. 7, 122\u2013129 (2017).","journal-title":"Kidney Int. Suppl."},{"key":"76153_CR23","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1038\/s41572-024-00589-9","volume":"11","author":"P Romagnani","year":"2025","unstructured":"Romagnani, P. et al. Chronic kidney disease. Nat. Rev. Dis. Prim. 11, 8 (2025).","journal-title":"Nat. Rev. Dis. Prim."},{"key":"76153_CR24","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.3390\/nu5031002","volume":"5","author":"M Abe","year":"2013","unstructured":"Abe, M., Okada, K. & Soma, M. Mineral metabolic abnormalities and mortality in dialysis patients. Nutrients 5, 1002\u20131023 (2013).","journal-title":"Nutrients"},{"key":"76153_CR25","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s12882-021-02652-z","volume":"23","author":"L Aaltonen","year":"2022","unstructured":"Aaltonen, L. et al. Association between bone mineral metabolism and vascular calcification in end-stage renal disease. BMC Nephrol. 23, 12 (2022).","journal-title":"BMC Nephrol."},{"key":"76153_CR26","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-015-0600-x","volume":"16","author":"B Lehne","year":"2015","unstructured":"Lehne, B. et al. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol. 16, 37 (2015).","journal-title":"Genome Biol."},{"key":"76153_CR27","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-016-1131-9","volume":"18","author":"M van Iterson","year":"2017","unstructured":"van Iterson, M., van Zwet, E. W., Consortium, B. & Heijmans, B. T. Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution. Genome Biol. 18, 19 (2017).","journal-title":"Genome Biol."},{"key":"76153_CR28","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1007\/s10157-017-1468-8","volume":"22","author":"Y Sato","year":"2018","unstructured":"Sato, Y. et al. Anemia as a risk factor for all-cause mortality: obscure synergic effect of chronic kidney disease. Clin. Exp. Nephrol. 22, 388\u2013394 (2018).","journal-title":"Clin. Exp. Nephrol."},{"key":"76153_CR29","doi-asserted-by":"publisher","first-page":"4414","DOI":"10.1210\/jc.2012-2001","volume":"97","author":"G Saab","year":"2012","unstructured":"Saab, G. et al. The association of parathyroid hormone with ESRD and pre-ESRD mortality in the Kidney Early Evaluation Program. J. Clin. Endocrinol. Metab. 97, 4414\u20134421 (2012).","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"76153_CR30","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1053\/j.ajkd.2013.08.011","volume":"63","author":"M Fukagawa","year":"2014","unstructured":"Fukagawa, M. et al. Abnormal mineral metabolism and mortality in hemodialysis patients with secondary hyperparathyroidism: evidence from marginal structural models used to adjust for time-dependent confounding. Am. J. Kidney Dis. 63, 979\u2013987 (2014).","journal-title":"Am. J. Kidney Dis."},{"key":"76153_CR31","doi-asserted-by":"publisher","first-page":"e0168537","DOI":"10.1371\/journal.pone.0168537","volume":"12","author":"D Li","year":"2017","unstructured":"Li, D. et al. Association of CKD-MBD markers with all-cause mortality in prevalent hemodialysis patients: a cohort study in Beijing. PLoS ONE 12, e0168537 (2017).","journal-title":"PLoS ONE"},{"key":"76153_CR32","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-018-4842-3","volume":"19","author":"EM Kennedy","year":"2018","unstructured":"Kennedy, E. M. et al. An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells. BMC Genomics 19, 476 (2018).","journal-title":"BMC Genomics"},{"key":"76153_CR33","doi-asserted-by":"publisher","first-page":"1394","DOI":"10.3390\/jcm9051394","volume":"9","author":"M Lee","year":"2020","unstructured":"Lee, M. et al. Significance of soluble CD93 in type 2 diabetes as a biomarker for diabetic nephropathy: integrated results from human and rodent studies. J. Clin. Med. 9, 1394 (2020).","journal-title":"J. Clin. Med."},{"key":"76153_CR34","doi-asserted-by":"publisher","first-page":"910","DOI":"10.3390\/biom13060910","volume":"13","author":"F Piani","year":"2023","unstructured":"Piani, F. et al. Diagnostic and prognostic role of CD93 in cardiovascular disease: a systematic review. Biomolecules 13, 910 (2023).","journal-title":"Biomolecules"},{"key":"76153_CR35","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1038\/s41588-018-0302-x","volume":"51","author":"JA Morris","year":"2019","unstructured":"Morris, J. A. et al. An atlas of genetic influences on osteoporosis in humans and mice. Nat. Genet. 51, 258\u2013266 (2019).","journal-title":"Nat. Genet."},{"key":"76153_CR36","doi-asserted-by":"publisher","first-page":"3895","DOI":"10.1073\/pnas.0809736106","volume":"106","author":"S Chevrier","year":"2009","unstructured":"Chevrier, S. et al. CD93 is required for the maintenance of antibody secretion and persistence of the plasma cells in the bone marrow niche. Proc. Natl. Acad. Sci. USA. 106, 3895\u20133900 (2009).","journal-title":"Proc. Natl. Acad. Sci. USA."},{"key":"76153_CR37","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1002\/jbmr.4904","volume":"38","author":"Y Qu","year":"2023","unstructured":"Qu, Y. et al. Genetic correlation, shared loci, and causal association between sex hormone-binding globulin and bone mineral density: insights from a large-scale genomewide cross-trait analysis. J. Bone Min. Res. 38, 1635\u20131644 (2023).","journal-title":"J. Bone Min. Res."},{"key":"76153_CR38","doi-asserted-by":"publisher","DOI":"10.1126\/science.adj1182","volume":"385","author":"A Verma","year":"2024","unstructured":"Verma, A. et al. Diversity and scale: genetic architecture of 2068 traits in the VA Million Veteran Program. Science 385, eadj1182 (2024).","journal-title":"Science"},{"key":"76153_CR39","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-49105-1","volume":"13","author":"AK Al-Ali","year":"2023","unstructured":"Al-Ali, A. K. et al. Uncovering myocardial infarction genetic signatures using GWAS exploration in Saudi and European cohorts. Sci. Rep. 13, 21866 (2023).","journal-title":"Sci. Rep."},{"key":"76153_CR40","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCGEN.119.002670","volume":"13","author":"H Matsunaga","year":"2020","unstructured":"Matsunaga, H. et al. Transethnic meta-analysis of genome-wide association studies identifies three new loci and characterizes population-specific differences for coronary artery disease. Circ. Genom. Precis. Med. 13, e002670 (2020).","journal-title":"Circ. Genom. Precis. Med."},{"key":"76153_CR41","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1007\/s00198-023-06852-1","volume":"34","author":"D He","year":"2023","unstructured":"He, D. et al. A longitudinal genome-wide association study of bone mineral density mean and variability in the UK Biobank. Osteoporos. Int. 34, 1907\u20131916 (2023).","journal-title":"Osteoporos. Int."},{"key":"76153_CR42","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1038\/ng.3842","volume":"49","author":"SK Low","year":"2017","unstructured":"Low, S. K. et al. Identification of six new genetic loci associated with atrial fibrillation in the Japanese population. Nat. Genet. 49, 953\u2013958 (2017).","journal-title":"Nat. Genet."},{"key":"76153_CR43","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1038\/ng.3843","volume":"49","author":"IE Christophersen","year":"2017","unstructured":"Christophersen, I. E. et al. Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. Nat. Genet. 49, 946\u2013952 (2017).","journal-title":"Nat. Genet."},{"key":"76153_CR44","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-53452-6","volume":"15","author":"F Koskeridis","year":"2024","unstructured":"Koskeridis, F. et al. Multi-trait association analysis reveals shared genetic loci between Alzheimer\u2019s disease and cardiovascular traits. Nat. Commun. 15, 9827 (2024).","journal-title":"Nat. Commun."},{"key":"76153_CR45","doi-asserted-by":"publisher","DOI":"10.1093\/eep\/dvz012","volume":"5","author":"RK Bhandari","year":"2019","unstructured":"Bhandari, R. K. et al. Estrogen receptor 1 expression and methylation of Esr1 promoter in mouse fetal prostate mesenchymal cells induced by gestational exposure to bisphenol A or ethinylestradiol. Environ. Epigenet 5, dvz012 (2019).","journal-title":"Environ. Epigenet"},{"key":"76153_CR46","doi-asserted-by":"publisher","first-page":"34287","DOI":"10.1074\/jbc.R113.512517","volume":"288","author":"A Blattler","year":"2013","unstructured":"Blattler, A. & Farnham, P. J. Cross-talk between site-specific transcription factors and DNA methylation states. J. Biol. Chem. 288, 34287\u201334294 (2013).","journal-title":"J. Biol. Chem."},{"key":"76153_CR47","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/s10157-022-02181-5","volume":"26","author":"K Hayashi","year":"2022","unstructured":"Hayashi, K. Altered DNA methylation in kidney disease: useful markers and therapeutic targets. Clin. Exp. Nephrol. 26, 309\u2013315 (2022).","journal-title":"Clin. Exp. Nephrol."},{"key":"76153_CR48","doi-asserted-by":"publisher","DOI":"10.1186\/s13148-018-0450-y","volume":"10","author":"E Hervouet","year":"2018","unstructured":"Hervouet, E., Peixoto, P., Delage-Mourroux, R., Boyer-Guittaut, M. & Cartron, P. F. Specific or not specific recruitment of DNMTs for DNA methylation, an epigenetic dilemma. Clin. Epigenetics 10, 17 (2018).","journal-title":"Clin. Epigenetics"},{"key":"76153_CR49","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11905-3","volume":"10","author":"Z Sun","year":"2019","unstructured":"Sun, Z. et al. EGR1 recruits TET1 to shape the brain methylome during development and upon neuronal activity. Nat. Commun. 10, 3892 (2019).","journal-title":"Nat. Commun."},{"key":"76153_CR50","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1186\/s12860-020-00292-z","volume":"21","author":"Y Li","year":"2020","unstructured":"Li, Y. et al. Klotho is regulated by transcription factor Sp1 in renal tubular epithelial cells. BMC Mol. Cell Biol. 21, 45 (2020).","journal-title":"BMC Mol. Cell Biol."},{"key":"76153_CR51","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1186\/s11658-022-00328-6","volume":"27","author":"F Wang","year":"2022","unstructured":"Wang, F. et al. SETD8 cooperates with MZF1 to participate in hyperglycemia-induced endothelial inflammation via elevation of WNT5A levels in diabetic nephropathy. Cell Mol. Biol. Lett. 27, 30 (2022).","journal-title":"Cell Mol. Biol. Lett."},{"key":"76153_CR52","doi-asserted-by":"publisher","first-page":"327","DOI":"10.3389\/fphys.2015.00327","volume":"6","author":"B Ke","year":"2015","unstructured":"Ke, B., Zhang, A., Wu, X. & Fang, X. The role of kruppel-like factor 4 in renal fibrosis. Front. Physiol. 6, 327 (2015).","journal-title":"Front. Physiol."},{"key":"76153_CR53","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1080\/0886022X.2021.1901739","volume":"43","author":"HY Ma","year":"2021","unstructured":"Ma, H. Y., Chen, S. & Du, Y. Estrogen and estrogen receptors in kidney diseases. Ren. Fail 43, 619\u2013642 (2021).","journal-title":"Ren. Fail"},{"key":"76153_CR54","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1007\/s00109-016-1403-6","volume":"94","author":"LC Ho","year":"2016","unstructured":"Ho, L. C. et al. Egr-1 deficiency protects from renal inflammation and fibrosis. J. Mol. Med. 94, 933\u2013942 (2016).","journal-title":"J. Mol. Med."},{"key":"76153_CR55","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1038\/s41588-024-01904-6","volume":"56","author":"GB Loeb","year":"2024","unstructured":"Loeb, G. B. et al. Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function. Nat. Genet. 56, 2078\u20132092 (2024).","journal-title":"Nat. Genet."},{"key":"76153_CR56","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37961-4","volume":"14","author":"L Shang","year":"2023","unstructured":"Shang, L. et al. meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans. Nat. Commun. 14, 2711 (2023).","journal-title":"Nat. Commun."},{"key":"76153_CR57","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44841-y","volume":"15","author":"H Zhang","year":"2024","unstructured":"Zhang, H. et al. Altered DNA methylation within DNMT3A, AHRR, LTA\/TNF loci mediates the effect of smoking on inflammatory bowel disease. Nat. Commun. 15, 595 (2024).","journal-title":"Nat. Commun."},{"key":"76153_CR58","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1038\/s41588-023-01494-9","volume":"56","author":"Q Peng","year":"2024","unstructured":"Peng, Q. et al. Analysis of blood methylation quantitative trait loci in East Asians reveals ancestry-specific impacts on complex traits. Nat. Genet. 56, 846\u2013860 (2024).","journal-title":"Nat. Genet."},{"key":"76153_CR59","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-51751-6","volume":"15","author":"P Long","year":"2024","unstructured":"Long, P. et al. Genome-wide DNA methylation profiling in blood reveals an epigenetic signature of incident acute coronary syndrome. Nat. Commun. 15, 7431 (2024).","journal-title":"Nat. Commun."},{"key":"76153_CR60","first-page":"3649","volume":"126","author":"H Dihazi","year":"2013","unstructured":"Dihazi, H. et al. Secretion of ERP57 is important for extracellular matrix accumulation and progression of renal fibrosis, and is an early sign of disease onset. J. Cell Sci. 126, 3649\u20133663 (2013).","journal-title":"J. Cell Sci."},{"key":"76153_CR61","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1002921","volume":"8","author":"N Sandholm","year":"2012","unstructured":"Sandholm, N. et al. New susceptibility loci associated with kidney disease in type 1 diabetes. PLoS Genet. 8, e1002921 (2012).","journal-title":"PLoS Genet."},{"key":"76153_CR62","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1111\/cei.13154","volume":"193","author":"A Tammaro","year":"2018","unstructured":"Tammaro, A. et al. S100A8\/A9 promotes parenchymal damage and renal fibrosis in obstructive nephropathy. Clin. Exp. Immunol. 193, 361\u2013375 (2018).","journal-title":"Clin. Exp. Immunol."},{"key":"76153_CR63","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1194\/jlr.P040501","volume":"55","author":"M Herman-Edelstein","year":"2014","unstructured":"Herman-Edelstein, M., Scherzer, P., Tobar, A., Levi, M. & Gafter, U. Altered renal lipid metabolism and renal lipid accumulation in human diabetic nephropathy. J. Lipid Res. 55, 561\u2013572 (2014).","journal-title":"J. Lipid Res."},{"key":"76153_CR64","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1038\/s41581-023-00741-w","volume":"19","author":"A Mitrofanova","year":"2023","unstructured":"Mitrofanova, A., Merscher, S. & Fornoni, A. Kidney lipid dysmetabolism and lipid droplet accumulation in chronic kidney disease. Nat. Rev. Nephrol. 19, 629\u2013645 (2023).","journal-title":"Nat. Rev. Nephrol."},{"key":"76153_CR65","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1038\/s41581-021-00488-2","volume":"18","author":"J Baek","year":"2022","unstructured":"Baek, J., He, C., Afshinnia, F., Michailidis, G. & Pennathur, S. Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease. Nat. Rev. Nephrol. 18, 38\u201355 (2022).","journal-title":"Nat. Rev. Nephrol."},{"key":"76153_CR66","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.34067\/KID.0003782020","volume":"1","author":"Y Gui","year":"2020","unstructured":"Gui, Y. & Dai, C. mTOR signaling in kidney diseases. Kidney360 1, 1319\u20131327 (2020).","journal-title":"Kidney360"},{"key":"76153_CR67","doi-asserted-by":"publisher","DOI":"10.1186\/s13148-022-01382-9","volume":"14","author":"Q Wang","year":"2022","unstructured":"Wang, Q. et al. Gene body methylation in cancer: molecular mechanisms and clinical applications. Clin. Epigenetics 14, 154 (2022).","journal-title":"Clin. Epigenetics"},{"key":"76153_CR68","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.ccr.2014.07.028","volume":"26","author":"X Yang","year":"2014","unstructured":"Yang, X. et al. Gene body methylation can alter gene expression and is a therapeutic target in cancer. Cancer Cell 26, 577\u2013590 (2014).","journal-title":"Cancer Cell"},{"key":"76153_CR69","doi-asserted-by":"publisher","DOI":"10.1186\/s13148-021-01081-x","volume":"13","author":"LJ Smyth","year":"2021","unstructured":"Smyth, L. J. et al. Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study. Clin. Epigenetics 13, 99 (2021).","journal-title":"Clin. Epigenetics"},{"key":"76153_CR70","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1007\/s10096-014-2143-6","volume":"33","author":"SY Lin","year":"2014","unstructured":"Lin, S. Y. et al. Association between herpes zoster and end-stage renal disease entrance in chronic kidney disease patients: a population-based cohort study. Eur. J. Clin. Microbiol Infect. Dis. 33, 1809\u20131815 (2014).","journal-title":"Eur. J. Clin. Microbiol Infect. Dis."},{"key":"76153_CR71","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1093\/ckj\/sfy058","volume":"12","author":"JH Ahn","year":"2019","unstructured":"Ahn, J. H. et al. Mortality risk after herpes zoster infection in end-stage renal disease patients. Clin. Kidney J. 12, 101\u2013105 (2019).","journal-title":"Clin. Kidney J."},{"key":"76153_CR72","doi-asserted-by":"publisher","first-page":"e0215553","DOI":"10.1371\/journal.pone.0215553","volume":"14","author":"H Forbes","year":"2019","unstructured":"Forbes, H. et al. Risk factors for herpes simplex virus type-1 infection and reactivation: Cross-sectional studies among EPIC-Norfolk participants. PLoS ONE 14, e0215553 (2019).","journal-title":"PLoS ONE"},{"key":"76153_CR73","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1016\/j.ekir.2021.02.024","volume":"6","author":"MA Hamad","year":"2021","unstructured":"Hamad, M. A., Allam, H., Sulaiman, A., Murali, K. & Cheikh Hassan, H. I. Systematic review and meta-analysis of herpes zoster vaccine in patients with CKD. Kidney Int. Rep. 6, 1254\u20131264 (2021).","journal-title":"Kidney Int. Rep."},{"key":"76153_CR74","doi-asserted-by":"publisher","first-page":"3439","DOI":"10.3390\/ijms23073439","volume":"23","author":"M Steenbeke","year":"2022","unstructured":"Steenbeke, M. et al. The role of advanced glycation end products and its soluble receptor in kidney diseases. Int. J. Mol. Sci. 23, 3439 (2022).","journal-title":"Int. J. Mol. Sci."},{"key":"76153_CR75","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.abn5939","volume":"15","author":"A Amaya-Garrido","year":"2023","unstructured":"Amaya-Garrido, A. et al. Calprotectin is a contributor to and potential therapeutic target for vascular calcification in chronic kidney disease. Sci. Transl. Med. 15, eabn5939 (2023).","journal-title":"Sci. Transl. Med."},{"key":"76153_CR76","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s00011-009-0103-x","volume":"59","author":"K Malickova","year":"2010","unstructured":"Malickova, K. et al. Plasma calprotectin in chronically dialyzed end-stage renal disease patients. Inflamm. Res. 59, 299\u2013305 (2010).","journal-title":"Inflamm. Res."},{"key":"76153_CR77","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-46973-7","volume":"15","author":"J Ma","year":"2024","unstructured":"Ma, J. et al. S100A8\/A9 as a prognostic biomarker with causal effects for post-acute myocardial infarction heart failure. Nat. Commun. 15, 2701 (2024).","journal-title":"Nat. Commun."},{"key":"76153_CR78","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1186\/s10020-023-00662-1","volume":"29","author":"Y Zhou","year":"2023","unstructured":"Zhou, Y. et al. S100 proteins in cardiovascular diseases. Mol. Med. 29, 68 (2023).","journal-title":"Mol. Med."},{"key":"76153_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2022.155376","volume":"144","author":"L Du","year":"2023","unstructured":"Du, L. et al. Inhibition of S100A8\/A9 ameliorates renal interstitial fibrosis in diabetic nephropathy. Metabolism 144, 155376 (2023).","journal-title":"Metabolism"},{"key":"76153_CR80","doi-asserted-by":"publisher","first-page":"1172356","DOI":"10.3389\/fphar.2023.1172356","volume":"14","author":"W Shi","year":"2023","unstructured":"Shi, W., Wan, T. T., Li, H. H. & Guo, S. B. Blockage of S100A8\/A9 ameliorates septic nephropathy in mice. Front. Pharm. 14, 1172356 (2023).","journal-title":"Front. Pharm."},{"key":"76153_CR81","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/s10565-024-09929-7","volume":"40","author":"X Yang","year":"2024","unstructured":"Yang, X. et al. S100A2 activation promotes interstitial fibrosis in kidneys by FoxO1-mediated epithelial-mesenchymal transition. Cell Biol. Toxicol. 40, 86 (2024).","journal-title":"Cell Biol. Toxicol."},{"key":"76153_CR82","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41642-7","volume":"14","author":"RF Dubin","year":"2023","unstructured":"Dubin, R. F. et al. Proteomics of CKD progression in the chronic renal insufficiency cohort. Nat. Commun. 14, 6340 (2023).","journal-title":"Nat. Commun."},{"key":"76153_CR83","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1093\/ndt\/gfu259","volume":"30","author":"N Isoyama","year":"2015","unstructured":"Isoyama, N. et al. Plasma S100A12 and soluble receptor of advanced glycation end product levels and mortality in chronic kidney disease Stage 5 patients. Nephrol. Dial. Transpl. 30, 84\u201391 (2015).","journal-title":"Nephrol. Dial. Transpl."},{"key":"76153_CR84","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.lfs.2017.10.036","volume":"191","author":"A Nazari","year":"2017","unstructured":"Nazari, A. et al. S100A12 in renal and cardiovascular diseases. Life Sci. 191, 253\u2013258 (2017).","journal-title":"Life Sci."},{"key":"76153_CR85","doi-asserted-by":"publisher","first-page":"718","DOI":"10.2215\/CJN.08310910","volume":"6","author":"Y Shiotsu","year":"2011","unstructured":"Shiotsu, Y. et al. Plasma S100A12 level is associated with cardiovascular disease in hemodialysis patients. Clin. J. Am. Soc. Nephrol. 6, 718\u2013723 (2011).","journal-title":"Clin. J. Am. Soc. Nephrol."},{"key":"76153_CR86","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.jacc.2016.11.056","volume":"69","author":"TR Webb","year":"2017","unstructured":"Webb, T. R. et al. Systematic evaluation of pleiotropy identifies 6 further loci associated with coronary artery disease. J. Am. Coll. Cardiol. 69, 823\u2013836 (2017).","journal-title":"J. Am. Coll. Cardiol."},{"key":"76153_CR87","doi-asserted-by":"publisher","first-page":"7506","DOI":"10.3390\/ijerph17207506","volume":"17","author":"R Rudzik","year":"2020","unstructured":"Rudzik, R. et al. Polymorphisms in GP6, PEAR1A, MRVI1, PIK3CG, JMJD1C, and SHH genes in patients with unstable angina. Int. J. Environ. Res. Public Health 17, 7506 (2020).","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"76153_CR88","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-022-02408-y","volume":"20","author":"C Zhang","year":"2022","unstructured":"Zhang, C., Qin, F., Li, X., Du, X. & Li, T. Identification of novel proteins for lacunar stroke by integrating genome-wide association data and human brain proteomes. BMC Med. 20, 211 (2022).","journal-title":"BMC Med."},{"key":"76153_CR89","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1182\/blood-2005-10-026294","volume":"109","author":"M Antl","year":"2007","unstructured":"Antl, M. et al. IRAG mediates NO\/cGMP-dependent inhibition of platelet aggregation and thrombus formation. Blood 109, 552\u2013559 (2007).","journal-title":"Blood"},{"key":"76153_CR90","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1007\/s00441-017-2643-7","volume":"369","author":"Z Jin","year":"2017","unstructured":"Jin, Z., Gu, C., Tian, F., Jia, Z. & Yang, J. NDRG2 knockdown promotes fibrosis in renal tubular epithelial cells through TGF-beta1\/Smad3 pathway. Cell Tissue Res. 369, 603\u2013610 (2017).","journal-title":"Cell Tissue Res."},{"key":"76153_CR91","volume":"26","author":"S Chen","year":"2020","unstructured":"Chen, S., Wang, J., Cai, C. & Xie, X. N-myc Downstream-Regulated Gene 2 (NDRG2) Promotes Bone Morphogenetic Protein 2 (BMP2)-induced osteoblastic differentiation and calcification by Janus Kinase 3 (JAK3)\/Signal Transducer and Activator of Transcription 3 (STAT3) signaling pathway. Med. Sci. Monit. 26, e918541 (2020).","journal-title":"Med. Sci. Monit."},{"key":"76153_CR92","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.1177\/0960327121993208","volume":"40","author":"J Zhao","year":"2021","unstructured":"Zhao, J., Zhao, Q. & Mao, S. N-myc downstream regulated gene 2 ameliorates myocardial remodeling and cardiac function in heart failure rats. Hum. Exp. Toxicol. 40, 1296\u20131307 (2021).","journal-title":"Hum. Exp. Toxicol."},{"key":"76153_CR93","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ajhg.2018.11.008","volume":"104","author":"G Kichaev","year":"2019","unstructured":"Kichaev, G. et al. Leveraging polygenic functional enrichment to improve GWAS power. Am. J. Hum. Genet 104, 65\u201375 (2019).","journal-title":"Am. J. Hum. Genet"},{"key":"76153_CR94","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1161\/ATVBAHA.123.319198","volume":"44","author":"ME Turner","year":"2024","unstructured":"Turner, M. E. et al. Phosphate in cardiovascular disease: from new insights into molecular mechanisms to clinical implications. Arterioscler Thromb. Vasc. Biol. 44, 584\u2013602 (2024).","journal-title":"Arterioscler Thromb. Vasc. Biol."},{"key":"76153_CR95","doi-asserted-by":"publisher","first-page":"128","DOI":"10.3390\/cells10010182","volume":"10","author":"R Pesi","year":"2021","unstructured":"Pesi, R. et al. Cytosolic 5\u2019-nucleotidase II is a sensor of energy charge and oxidative stress: a possible function as metabolic regulator. Cells 10, 128 (2021).","journal-title":"Cells"},{"key":"76153_CR96","doi-asserted-by":"publisher","first-page":"135","DOI":"10.3389\/fcvm.2020.00135","volume":"7","author":"KK Vishnolia","year":"2020","unstructured":"Vishnolia, K. K. et al. Studies in zebrafish demonstrate that CNNM2 and NT5C2 are most likely the causal genes at the blood pressure-associated locus on human chromosome 10q24.32. Front. Cardiovasc. Med. 7, 135 (2020).","journal-title":"Front. Cardiovasc. Med."},{"key":"76153_CR97","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1083\/jcb.201111116","volume":"197","author":"T Oikawa","year":"2012","unstructured":"Oikawa, T. et al. Tks5-dependent formation of circumferential podosomes\/invadopodia mediates cell-cell fusion. J. Cell Biol. 197, 553\u2013568 (2012).","journal-title":"J. Cell Biol."},{"key":"76153_CR98","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1186\/s13619-024-00205-x","volume":"13","author":"Q Xiang","year":"2024","unstructured":"Xiang, Q. et al. Beyond resorption: osteoclasts as drivers of bone formation. Cell Regen. 13, 22 (2024).","journal-title":"Cell Regen."},{"key":"76153_CR99","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1016\/j.ekir.2021.05.012","volume":"6","author":"SM Sprague","year":"2021","unstructured":"Sprague, S. M., Martin, K. J. & Coyne, D. W. Phosphate balance and CKD-mineral bone disease. Kidney Int. Rep. 6, 2049\u20132058 (2021).","journal-title":"Kidney Int. Rep."},{"key":"76153_CR100","first-page":"2117","volume":"40","author":"SY Chen","year":"2024","unstructured":"Chen, S. Y. et al. Novel genes associated with atrial fibrillation and the predictive models for AF incorporating polygenic risk score and PheWAS-derived risk factors. Can. J. Cardiol. 40, 2117\u20132127 (2024).","journal-title":"Can. J. Cardiol."},{"key":"76153_CR101","doi-asserted-by":"publisher","first-page":"2640","DOI":"10.1074\/jbc.RA117.001382","volume":"293","author":"MC Yi","year":"2018","unstructured":"Yi, M. C., Melkonian, A. V., Ousey, J. A. & Khosla, C. Endoplasmic Reticulum-Resident Protein 57 (ERp57) oxidatively inactivates human transglutaminase 2. J. Biol. Chem. 293, 2640\u20132649 (2018).","journal-title":"J. Biol. Chem."},{"key":"76153_CR102","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-016-1066-1","volume":"17","author":"R Pidsley","year":"2016","unstructured":"Pidsley, R. et al. Critical evaluation of the Illumina methylation EPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol. 17, 208 (2016).","journal-title":"Genome Biol."},{"key":"76153_CR103","doi-asserted-by":"publisher","first-page":"S117","DOI":"10.1016\/j.kint.2023.10.018","volume":"105","author":"Kidney Disease: Improving Global Outcomes, C.K.D.W.G","year":"2024","unstructured":"Kidney Disease: Improving Global Outcomes, C.K.D.W.G KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 105, S117\u2013S314 (2024).","journal-title":"Kidney Int."},{"key":"76153_CR104","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-019-1664-9","volume":"20","author":"F Muller","year":"2019","unstructured":"Muller, F. et al. RnBeads 2.0: comprehensive analysis of DNA methylation data. Genome Biol. 20, 55 (2019).","journal-title":"Genome Biol."},{"key":"76153_CR105","doi-asserted-by":"publisher","first-page":"318","DOI":"10.4161\/epi.27119","volume":"9","author":"MC Wu","year":"2014","unstructured":"Wu, M. C. et al. A systematic assessment of normalization approaches for the Infinium 450\u2009K methylation platform. Epigenetics 9, 318\u2013329 (2014).","journal-title":"Epigenetics"},{"key":"76153_CR106","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1038\/nmeth.3115","volume":"11","author":"Y Assenov","year":"2014","unstructured":"Assenov, Y. et al. Comprehensive analysis of DNA methylation data with RnBeads. Nat. Methods 11, 1138\u20131140 (2014).","journal-title":"Nat. Methods"},{"key":"76153_CR107","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1038\/s41592-018-0213-x","volume":"15","author":"SC Zheng","year":"2018","unstructured":"Zheng, S. C., Breeze, C. E., Beck, S. & Teschendorff, A. E. Identification of differentially methylated cell types in epigenome-wide association studies. Nat. Methods 15, 1059\u20131066 (2018).","journal-title":"Nat. Methods"},{"key":"76153_CR108","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.2217\/epi-2019-0206","volume":"11","author":"S Bollepalli","year":"2019","unstructured":"Bollepalli, S., Korhonen, T., Kaprio, J., Anders, S. & Ollikainen, M. EpiSmokEr: a robust classifier to determine smoking status from DNA methylation data. Epigenomics 11, 1469\u20131486 (2019).","journal-title":"Epigenomics"},{"key":"76153_CR109","doi-asserted-by":"publisher","first-page":"D983","DOI":"10.1093\/nar\/gky1027","volume":"47","author":"M Li","year":"2019","unstructured":"Li, M. et al. EWAS Atlas: a curated knowledgebase of epigenome-wide association studies. Nucleic Acids Res. 47, D983\u2013D988 (2019).","journal-title":"Nucleic Acids Res."},{"key":"76153_CR110","doi-asserted-by":"publisher","first-page":"41","DOI":"10.12688\/wellcomeopenres.17598.2","volume":"7","author":"T Battram","year":"2022","unstructured":"Battram, T. et al. The EWAS Catalog: a database of epigenome-wide association studies. Wellcome Open Res. 7, 41 (2022).","journal-title":"Wellcome Open Res."},{"key":"76153_CR111","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1038\/ki.2012.270","volume":"82","author":"TB Drueke","year":"2012","unstructured":"Drueke, T. B. & Parfrey, P. S. Summary of the KDIGO guideline on anemia and comment: reading between the (guide)line(s). Kidney Int. 82, 952\u2013960 (2012).","journal-title":"Kidney Int."},{"key":"76153_CR112","first-page":"1","volume":"7","author":"Kidney Disease: Improving Global Outcomes, C.K.D.M.B.D.U.W.G","year":"2017","unstructured":"Kidney Disease: Improving Global Outcomes, C.K.D.M.B.D.U.W.G KDIGO 2017 clinical practice guideline update for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease-mineral and bone disorder (CKD-MBD). Kidney Int. Suppl. 7, 1\u201359 (2017).","journal-title":"Kidney Int. Suppl."},{"key":"76153_CR113","doi-asserted-by":"publisher","first-page":"1308","DOI":"10.1038\/s41422-021-00564-z","volume":"31","author":"L Li","year":"2021","unstructured":"Li, L. et al. The ChinaMAP reference panel for accurate genotype imputation in Chinese populations. Cell Res. 31, 1308\u20131310 (2021).","journal-title":"Cell Res."},{"key":"76153_CR114","doi-asserted-by":"publisher","DOI":"10.1186\/s13742-015-0047-8","volume":"4","author":"CC Chang","year":"2015","unstructured":"Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience 4, 7 (2015).","journal-title":"Gigascience"},{"key":"76153_CR115","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1093\/bioinformatics\/bts163","volume":"28","author":"AA Shabalin","year":"2012","unstructured":"Shabalin, A. A. Matrix eQTL: ultra-fast eQTL analysis via large matrix operations. Bioinformatics 28, 1353\u20131358 (2012).","journal-title":"Bioinformatics"},{"key":"76153_CR116","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","volume":"88","author":"J Yang","year":"2011","unstructured":"Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76\u201382 (2011).","journal-title":"Am. J. Hum. Genet."},{"key":"76153_CR117","doi-asserted-by":"publisher","first-page":"D139","DOI":"10.1093\/nar\/gkw1064","volume":"45","author":"S Kumar","year":"2017","unstructured":"Kumar, S., Ambrosini, G. & Bucher, P. SNP2TFBS - a database of regulatory SNPs affecting predicted transcription factor binding site affinity. Nucleic Acids Res. 45, D139\u2013D144 (2017).","journal-title":"Nucleic Acids Res."},{"key":"76153_CR118","doi-asserted-by":"publisher","first-page":"D998","DOI":"10.1093\/nar\/gkae1070","volume":"53","author":"M Cerezo","year":"2025","unstructured":"Cerezo, M. et al. The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity. Nucleic Acids Res. 53, D998\u2013D1005 (2025).","journal-title":"Nucleic Acids Res."},{"key":"76153_CR119","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1186\/s12882-019-1306-1","volume":"20","author":"M Seki","year":"2019","unstructured":"Seki, M. et al. Blood urea nitrogen is independently associated with renal outcomes in Japanese patients with stage 3-5 chronic kidney disease: a prospective observational study. BMC Nephrol. 20, 115 (2019).","journal-title":"BMC Nephrol."},{"key":"76153_CR120","doi-asserted-by":"publisher","first-page":"2538","DOI":"10.1093\/bioinformatics\/bty147","volume":"34","author":"C Giambartolomei","year":"2018","unstructured":"Giambartolomei, C. et al. A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34, 2538\u20132545 (2018).","journal-title":"Bioinformatics"},{"key":"76153_CR121","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1038\/ng.3805","volume":"49","author":"S Guo","year":"2017","unstructured":"Guo, S. et al. Identification of methylation haplotype blocks aids in the deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA. Nat. Genet. 49, 635\u2013642 (2017).","journal-title":"Nat. Genet."},{"key":"76153_CR122","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1101\/gr.104695.109","volume":"20","author":"R Shoemaker","year":"2010","unstructured":"Shoemaker, R., Deng, J., Wang, W. & Zhang, K. Allele-specific methylation is prevalent and is contributed by CpG-SNPs in the human genome. Genome Res. 20, 883\u2013889 (2010).","journal-title":"Genome Res."},{"key":"76153_CR123","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.ygeno.2019.05.007","volume":"112","author":"O Affinito","year":"2020","unstructured":"Affinito, O. et al. Nucleotide distance influences co-methylation between nearby CpG sites. Genomics 112, 144\u2013150 (2020).","journal-title":"Genomics"},{"key":"76153_CR124","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1093\/ije\/dyab084","volume":"50","author":"C Minelli","year":"2021","unstructured":"Minelli, C. et al. The use of two-sample methods for Mendelian randomization analyses on single large datasets. Int J. Epidemiol. 50, 1651\u20131659 (2021).","journal-title":"Int J. Epidemiol."},{"key":"76153_CR125","doi-asserted-by":"publisher","first-page":"e1007081","DOI":"10.1371\/journal.pgen.1007081","volume":"13","author":"G Hemani","year":"2017","unstructured":"Hemani, G., Tilling, K. & Davey Smith, G. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 13, e1007081 (2017).","journal-title":"PLoS Genet."},{"key":"76153_CR126","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.1038\/s41588-021-00913-z","volume":"53","author":"U Vosa","year":"2021","unstructured":"Vosa, U. et al. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nat. Genet. 53, 1300\u20131310 (2021).","journal-title":"Nat. Genet."},{"key":"76153_CR127","doi-asserted-by":"publisher","first-page":"2382","DOI":"10.1093\/bioinformatics\/btv145","volume":"31","author":"G Yu","year":"2015","unstructured":"Yu, G., Wang, L. G. & He, Q. Y. ChIPseeker: an R\/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics 31, 2382\u20132383 (2015).","journal-title":"Bioinformatics"},{"key":"76153_CR128","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1038\/s41586-020-03145-z","volume":"590","author":"CA Boix","year":"2021","unstructured":"Boix, C. A., James, B. T., Park, Y. P., Meuleman, W. & Kellis, M. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature 590, 300\u2013307 (2021).","journal-title":"Nature"},{"key":"76153_CR129","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1038\/s41586-021-03446-x","volume":"593","author":"J Nasser","year":"2021","unstructured":"Nasser, J. et al. Genome-wide enhancer maps link risk variants to disease genes. Nature 593, 238\u2013243 (2021).","journal-title":"Nature"},{"key":"76153_CR130","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1016\/j.cell.2016.09.037","volume":"167","author":"BM Javierre","year":"2016","unstructured":"Javierre, B. M. et al. Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters. Cell 167, 1369\u20131384.e1319 (2016).","journal-title":"Cell"},{"key":"76153_CR131","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1038\/s41587-019-0206-z","volume":"37","author":"AT Satpathy","year":"2019","unstructured":"Satpathy, A. T. et al. Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion. Nat. Biotechnol. 37, 925\u2013936 (2019).","journal-title":"Nat. Biotechnol."},{"key":"76153_CR132","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1038\/ng.3721","volume":"49","author":"MJ Bonder","year":"2017","unstructured":"Bonder, M. J. et al. Disease variants alter transcription factor levels and methylation of their binding sites. Nat. Genet. 49, 131\u2013138 (2017).","journal-title":"Nat. Genet."},{"key":"76153_CR133","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-39936-3","volume":"13","author":"A Keshawarz","year":"2023","unstructured":"Keshawarz, A. et al. Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: the Framingham Heart Study. Sci. Rep. 13, 12952 (2023).","journal-title":"Sci. Rep."},{"key":"76153_CR134","doi-asserted-by":"publisher","first-page":"W207","DOI":"10.1093\/nar\/gkad347","volume":"51","author":"L Kolberg","year":"2023","unstructured":"Kolberg, L. et al. g:Profiler-interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update). Nucleic Acids Res. 51, W207\u2013W212 (2023).","journal-title":"Nucleic Acids Res."},{"key":"76153_CR135","doi-asserted-by":"publisher","first-page":"15545","DOI":"10.1073\/pnas.0506580102","volume":"102","author":"A Subramanian","year":"2005","unstructured":"Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 102, 15545\u201315550 (2005).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"76153_CR136","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1038\/s41596-018-0103-9","volume":"14","author":"J Reimand","year":"2019","unstructured":"Reimand, J. et al. Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap. Nat. Protoc. 14, 482\u2013517 (2019).","journal-title":"Nat. Protoc."},{"key":"76153_CR137","doi-asserted-by":"publisher","first-page":"D977","DOI":"10.1093\/nar\/gkac1010","volume":"51","author":"E Sollis","year":"2023","unstructured":"Sollis, E. et al. The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource. Nucleic Acids Res. 51, D977\u2013D985 (2023).","journal-title":"Nucleic Acids Res."},{"key":"76153_CR138","doi-asserted-by":"publisher","unstructured":"Zhou, X. Genome-wide DNA methylation analysis revealed an epigenetic mechanism underlying end-stage renal disease. Zenodo https:\/\/doi.org\/10.5281\/zenodo.19131866 (2026).","DOI":"10.5281\/zenodo.19131866"}],"container-title":["Nature Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41467-026-76153-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41467-026-76153-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41467-026-76153-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:03:15Z","timestamp":1788220995000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41467-026-76153-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,3]]},"references-count":138,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["76153"],"URL":"https:\/\/doi.org\/10.1038\/s41467-026-76153-8","relation":{},"ISSN":["2041-1723"],"issn-type":[{"value":"2041-1723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,3]]},"assertion":[{"value":"11 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}],"article-number":"9336"}}