{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Khurana I"],"funding":["NHMRC Clinical Trials and Cohort Studies Grant","Steno Diabetes Center Copenhagen (SDCC)","Danish Diabetes Academy","National Health and Medical Research Council"],"pagination":["e160959"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9927943"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["133(4)"],"pubmed_abstract":["Diabetic nephropathy (DN) is a polygenic disorder with few risk variants showing robust replication in large-scale genome-wide association studies. To understand the role of DNA methylation, it is important to have the prevailing genomic view to distinguish key sequence elements that influence gene expression. This is particularly challenging for DN because genome-wide methylation patterns are poorly defined. While methylation is known to alter gene expression, the importance of this causal relationship is obscured by array-based technologies since coverage outside promoter regions is low. To overcome these challenges, we performed methylation sequencing using leukocytes derived from participants of the Finnish Diabetic Nephropathy (FinnDiane) type 1 diabetes (T1D) study (n = 39) that was "],"journal":["The Journal of clinical investigation"],"pubmed_title":["Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes."],"pmcid":["PMC9927943"],"funding_grant_id":["1154650","NNF17SA0031406","SDCC 3.A Complications","2014763"],"pubmed_authors":["Thewjitcharoen Y","Hansen TW","Tofte N","Birkelund S","Jiang G","Rossing P","Fogarty C","Jorgensen A","Kaipananickal H","Ottesen EC","Lee HM","Kaspi A","Njeim R","El-Osta A","Rafehi H","Thomas MC","Cooper ME","Maxwell S","Groop PH","Forsblom C","Al-Hasani K","Chan JC","Syreeni A","Himathongkam T","Khurana I","Huang Y","Ma RC","Okabe J","Eid A","Ziemann M","Nakasatien S","Luk AO"],"additional_accession":[]},"is_claimable":false,"name":"Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes.","description":"Diabetic nephropathy (DN) is a polygenic disorder with few risk variants showing robust replication in large-scale genome-wide association studies. To understand the role of DNA methylation, it is important to have the prevailing genomic view to distinguish key sequence elements that influence gene expression. This is particularly challenging for DN because genome-wide methylation patterns are poorly defined. While methylation is known to alter gene expression, the importance of this causal relationship is obscured by array-based technologies since coverage outside promoter regions is low. To overcome these challenges, we performed methylation sequencing using leukocytes derived from participants of the Finnish Diabetic Nephropathy (FinnDiane) type 1 diabetes (T1D) study (n = 39) that was ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2026-05-29T00:00:06.286Z","creation":"2025-04-06T02:58:28.9Z"},"accession":"S-EPMC9927943","cross_references":{"pubmed":["36633903"],"doi":["10.1172/JCI160959"]}}