Meta-analyses identify DNA methylation associated with kidney function and damage
Bochud Murielle; Waldenberger Melanie; Fraszczyk Eliza; Ghasemi Sahar; Loh Marie; Teumer Alexander; Kasela Silva; Verweij Niek; Stringhini Silvia; Stocker Hanna R.; Peters Annette; Baccarelli Andrea; Adeyemo Adebowale A.; Walker Rosie M.; Lorkowski Stefan; Liu Dan; Wielscher Matthias; Sedaghat Sanaz; Zheng Yinan; Estonian Biobank Research Team; Genetics of DNA Methylation Consortium; Cox Simon R.; Nowak Christoph; Schöttker Ben; Gieger Christian; Lind Lars; Rosas Sylvia E.; Tin Adrienne; Winkelmann Juliane; Liu HongboB; Lehtimäki Terho; Franke Lude; Smith Jennifer A.; Aziz Nasir A.; Wolffenbuttel Bruce H. R.; Delgado Graciela E.; Kleber Marcus E.; Chambers John C.; Meeks Karlijn A. C.; Psaty Bruce M.; Levy Daniel; Nauck Matthias; März Winfried; McCartney Daniel L.; Marioni Riccardo E.; Hou Lifang; Joehanes Roby; Köttgen Anna; Raitakari Olli T.; Reiner Alex P.; Carmeli Cristian; Navas-Acien Ana; Jarvelin Marjo-Riitta; Fornage Myriam; Yu Zhi; Ratliff Scott M.; Hoppmann Anselm; Breteler Monique M. B.; Henneman Peter; Weihs Antoine; Sotoodehnia Nona; Schwartz Joel; Schlosser Pascal; Zhao Wei; Kühnel Brigitte; Hemani Gibran; Venema Andrea; Thio Chris H. L.; Mishra Pashupati P.; Ärnlöv Johan; Brenner Hermann; Evans Kathryn L.; Liu Yongmei; Agyemang Charles; Ekici Arif B.; Snieder Harold; Endlich Karlhans; Eckardt Kai-Uwe; Ghanbari Mohsen; Chaker Layal; Floyd James S.; Kronenberg Florian; Domingo-Relloso Arce; Kardia Sharon L. R.; van Vliet-Ostaptchouk Jana V.; Grundner-Culemann Franziska; Coresh Josef; Greenland Philip; Susztak Katalin; Herder Christian; Lohman Kurt; Horvath Steve; Harris Sarah E.; Lu Ake T.; Milani Lili; van Meurs Joyce B. J.; Kooner Jaspal S.; Lloyd-Jones Donald M.; Gao Xu; Corre Tanguy; Swenson Brenton R.; Kramer Holly; Hwang Shih-Jen; Cole Shelley A.; Prokisch Holger; Koenig Wolfgang; de Klein Niek; Gào Xīn; Min Josine L.; Correa Adolfo; Tellez-Plaza Maria; Sundström Johan; Matias-Garcia Pamela R.; Hurme Mikko A.; Grove Megan L.
https://urn.fi/URN:NBN:fi-fe2022012710794
Tiivistelmä
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.Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.
Kokoelmat
- Rinnakkaistallenteet [19207]