{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wong YT"],"funding":["Rosetrees Trust"],"pagination":["327-334"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8920143"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(3)"],"pubmed_abstract":["Saliva and buccal samples are popular for epigenome wide association studies (EWAS) due to their ease of collection compared and their ability to sample a different cell lineage compared to blood. As these samples contain a mix of white blood cells and buccal epithelial cells that can vary within a population, this cellular heterogeneity may confound EWAS. This has been addressed by including cellular heterogeneity obtained through cytology at the time of collection or by using cellular deconvolution algorithms built on epigenetic data from specific cell types. However, to our knowledge, the two methods have not yet been compared. Here we show that the two methods are highly correlated in saliva and buccal samples (R = 0.84, P < 0.0001) by comparing data generated from cytological staining"],"journal":["Epigenetics"],"pubmed_title":["A comparison of epithelial cell content of oral samples estimated using cytology and DNA methylation."],"pmcid":["PMC8920143"],"funding_grant_id":["M661"],"pubmed_authors":["Stone TC","Craig JM","Lovat LB","Iwasiow R","Teschendorff AE","Tayeb MA","Wong YT"],"additional_accession":[]},"is_claimable":false,"name":"A comparison of epithelial cell content of oral samples estimated using cytology and DNA methylation.","description":"Saliva and buccal samples are popular for epigenome wide association studies (EWAS) due to their ease of collection compared and their ability to sample a different cell lineage compared to blood. As these samples contain a mix of white blood cells and buccal epithelial cells that can vary within a population, this cellular heterogeneity may confound EWAS. This has been addressed by including cellular heterogeneity obtained through cytology at the time of collection or by using cellular deconvolution algorithms built on epigenetic data from specific cell types. However, to our knowledge, the two methods have not yet been compared. Here we show that the two methods are highly correlated in saliva and buccal samples (R = 0.84, P < 0.0001) by comparing data generated from cytological staining","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-19T17:37:00.985Z","creation":"2022-07-19T13:53:26.439Z"},"accession":"S-EPMC8920143","cross_references":{"pubmed":["34254878"],"doi":["10.1080/15592294.2021.1950977"]}}