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"Zheng", "given": "Yinan", "initials": "Y", "orcid": "0000-0002-2006-7320", "researcher": {"href": "https://publications.scilifelab.se/researcher/dd8f1e7f80ee4aa8b853ef31295f5709.json"}}, {"family": "Estonian Biobank Research Team", "given": "", "initials": ""}, {"family": "Genetics of DNA Methylation Consortium", "given": "", "initials": ""}, {"family": "Loh", "given": "Marie", "initials": "M", "orcid": "0000-0003-3626-8466", "researcher": {"href": "https://publications.scilifelab.se/researcher/70e1d986dce444f889fda8d47e9cb355.json"}}, {"family": "Snieder", "given": "Harold", "initials": "H", "orcid": "0000-0003-1949-2298", "researcher": {"href": "https://publications.scilifelab.se/researcher/e9276827839a4f3cb50dcaa2ad4708a5.json"}}, {"family": "Waldenberger", "given": "Melanie", "initials": "M", "orcid": "0000-0003-0583-5093", "researcher": {"href": "https://publications.scilifelab.se/researcher/c8de22214f2448c6a7f86fc1040d0104.json"}}, {"family": "Levy", "given": "Daniel", "initials": "D", "orcid": "0000-0003-1843-8724", "researcher": {"href": "https://publications.scilifelab.se/researcher/86bfd3e65ead428c93dc1a461004adab.json"}}, {"family": "Akilesh", "given": "Shreeram", "initials": "S", "orcid": "0000-0003-3152-7991", "researcher": {"href": "https://publications.scilifelab.se/researcher/1cb143e90633471486dbad753d06e3fe.json"}}, {"family": "Woodward", "given": "Owen M", "initials": "OM", "orcid": "0000-0001-9514-2180", "researcher": {"href": "https://publications.scilifelab.se/researcher/669278c697764d249d6668a7d59269a6.json"}}, {"family": "Susztak", "given": "Katalin", "initials": "K", "orcid": "0000-0002-1005-3726", "researcher": {"href": "https://publications.scilifelab.se/researcher/1382eacb5f28444396132254487e3ed9.json"}}, {"family": "Teumer", "given": "Alexander", "initials": "A", "orcid": "0000-0002-8309-094X", "researcher": {"href": "https://publications.scilifelab.se/researcher/dc9c2667a55b47a6a08aea764fab0946.json"}}, {"family": "K\u00f6ttgen", "given": "Anna", "initials": "A", "orcid": "0000-0002-4671-3714", "researcher": {"href": "https://publications.scilifelab.se/researcher/fe4cb85a14da4db6bc932a8bc4148efb.json"}}], "type": "journal article", "published": "2021-12-09", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "12", "issue": "1", "pages": "7173", "issn-l": "2041-1723"}, "abstract": "Elevated serum urate levels, a complex trait and major risk factor for incident gout, are correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.", "doi": "10.1038/s41467-021-27198-4", "pmid": "34887389", "labels": {"National Genomics Infrastructure": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service"}, "xrefs": [{"db": "pii", "key": "10.1038/s41467-021-27198-4"}], "notes": [], "created": "2021-12-22T19:39:57.979Z", "modified": "2021-12-22T19:39:58.563Z"}, {"entity": "publication", "iuid": "c6fcde1c149146be8ea0b5308f8ec628", "links": {"self": {"href": "https://publications.scilifelab.se/publication/c6fcde1c149146be8ea0b5308f8ec628.json"}, "display": {"href": "https://publications.scilifelab.se/publication/c6fcde1c149146be8ea0b5308f8ec628"}}, "title": "Meta-analyses identify DNA methylation associated with kidney function and damage.", "authors": [{"family": "Schlosser", "given": "Pascal", "initials": "P", "orcid": "0000-0002-8460-0462", "researcher": {"href": 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"Niek", "initials": "N"}, {"family": "Walker", "given": "Rosie M", "initials": "RM", "orcid": "0000-0002-1060-4479", "researcher": {"href": "https://publications.scilifelab.se/researcher/79a65025d1a64ed2b383e69c803df0a4.json"}}, {"family": "Wielscher", "given": "Matthias", "initials": "M", "orcid": "0000-0003-4138-1383", "researcher": {"href": "https://publications.scilifelab.se/researcher/18bdf16f6b9f4272ae4b03579dc46e00.json"}}, {"family": "Winkelmann", "given": "Juliane", "initials": "J"}, {"family": "Wolffenbuttel", "given": "Bruce H R", "initials": "BHR", "orcid": "0000-0001-9262-6921", "researcher": {"href": "https://publications.scilifelab.se/researcher/705d5bb109c443289feef937e695dc7d.json"}}, {"family": "Zhao", "given": "Wei", "initials": "W", "orcid": "0000-0001-7388-0692", "researcher": {"href": "https://publications.scilifelab.se/researcher/a0c2246e69494086bab7ead8e6f1f717.json"}}, {"family": "Zheng", "given": "Yinan", "initials": "Y", "orcid": "0000-0002-2006-7320", "researcher": {"href": "https://publications.scilifelab.se/researcher/dd8f1e7f80ee4aa8b853ef31295f5709.json"}}, {"family": "Estonian Biobank Research Team", "given": "", "initials": ""}, {"family": "Genetics of DNA Methylation Consortium", "given": "", "initials": ""}, {"family": "Loh", "given": "Marie", "initials": "M", "orcid": "0000-0003-3626-8466", "researcher": {"href": "https://publications.scilifelab.se/researcher/70e1d986dce444f889fda8d47e9cb355.json"}}, {"family": "Snieder", "given": "Harold", "initials": "H", "orcid": "0000-0003-1949-2298", "researcher": {"href": "https://publications.scilifelab.se/researcher/e9276827839a4f3cb50dcaa2ad4708a5.json"}}, {"family": "Levy", "given": "Daniel", "initials": "D", "orcid": "0000-0003-1843-8724", "researcher": {"href": "https://publications.scilifelab.se/researcher/86bfd3e65ead428c93dc1a461004adab.json"}}, {"family": "Waldenberger", "given": "Melanie", "initials": "M", "orcid": "0000-0003-0583-5093", "researcher": {"href": "https://publications.scilifelab.se/researcher/c8de22214f2448c6a7f86fc1040d0104.json"}}, {"family": "Susztak", "given": "Katalin", "initials": "K", "orcid": "0000-0002-1005-3726", "researcher": {"href": "https://publications.scilifelab.se/researcher/1382eacb5f28444396132254487e3ed9.json"}}, {"family": "K\u00f6ttgen", "given": "Anna", "initials": "A", "orcid": "0000-0002-4671-3714", "researcher": {"href": "https://publications.scilifelab.se/researcher/fe4cb85a14da4db6bc932a8bc4148efb.json"}}, {"family": "Teumer", "given": "Alexander", "initials": "A", "orcid": "0000-0002-8309-094X", "researcher": {"href": "https://publications.scilifelab.se/researcher/dc9c2667a55b47a6a08aea764fab0946.json"}}], "type": "journal article", "published": "2021-12-09", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "12", "issue": "1", "pages": "7174", "issn-l": "2041-1723"}, "abstract": "Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.", "doi": "10.1038/s41467-021-27234-3", "pmid": "34887417", "labels": {"National Genomics Infrastructure": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service"}, "xrefs": [{"db": "pii", "key": "10.1038/s41467-021-27234-3"}], "notes": [], "created": "2021-12-22T19:39:46.207Z", "modified": "2021-12-22T19:39:47.563Z"}]}