{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4(3)"],"submitter":["Teschendorff AE"],"pubmed_abstract":["<h4>Background</h4>Recently, it has been proposed that epigenetic variation may contribute to the risk of complex genetic diseases like cancer. We aimed to demonstrate that epigenetic changes in normal cells, collected years in advance of the first signs of morphological transformation, can predict the risk of such transformation.<h4>Methods</h4>We analyzed DNA methylation (DNAm) profiles of over 27,000 CpGs in cytologically normal cells of the uterine cervix from 152 women in a prospective nested case-control study. We used statistics based on differential variability to identify CpGs associated with the risk of transformation and a novel statistical algorithm called EVORA (Epigenetic Variable Outliers for Risk prediction Analysis) to make predictions.<h4>Results</h4>We observed many CpGs"],"journal":["Genome medicine"],"pagination":["24"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3446274"],"repository":["biostudies-literature"],"pubmed_title":["Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation."],"pmcid":["PMC3446274"],"pubmed_authors":["Widschwendter M","Kitchener HC","Sargent A","Zhuang JJ","Teschendorff AE","Jones A","Fiegl H"],"additional_accession":[]},"is_claimable":false,"name":"Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation.","description":"<h4>Background</h4>Recently, it has been proposed that epigenetic variation may contribute to the risk of complex genetic diseases like cancer. We aimed to demonstrate that epigenetic changes in normal cells, collected years in advance of the first signs of morphological transformation, can predict the risk of such transformation.<h4>Methods</h4>We analyzed DNA methylation (DNAm) profiles of over 27,000 CpGs in cytologically normal cells of the uterine cervix from 152 women in a prospective nested case-control study. We used statistics based on differential variability to identify CpGs associated with the risk of transformation and a novel statistical algorithm called EVORA (Epigenetic Variable Outliers for Risk prediction Analysis) to make predictions.<h4>Results</h4>We observed many CpGs","dates":{"release":"2012-01-01T00:00:00Z","publication":"2012 Mar","modification":"2026-04-07T14:03:39.786Z","creation":"2026-04-07T13:43:00.885Z"},"accession":"S-EPMC3446274","cross_references":{"pubmed":["22453031"],"doi":["10.1186/gm323"]}}