{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gervin K"],"funding":["Joint Programming Initiative A healthy diet for a healthy life","European Research Council","NIA NIH HHS","NIEHS NIH HHS","NIMHD NIH HHS","NCI NIH HHS","National Institutes of Health","ZonMw","NIGMS NIH HHS","ERA-Net on Biomarkers for Nutrition and Health"],"pagination":["125"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6712867"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(1)"],"pubmed_abstract":["<h4>Background</h4>Umbilical cord blood (UCB) is commonly used in epigenome-wide association studies of prenatal exposures. Accounting for cell type composition is critical in such studies as it reduces confounding due to the cell specificity of DNA methylation (DNAm). In the absence of cell sorting information, statistical methods can be applied to deconvolve heterogeneous cell mixtures. Among these methods, reference-based approaches leverage age-appropriate cell-specific DNAm profiles to estimate cellular composition. In UCB, four reference datasets comprising DNAm signatures profiled in purified cell populations have been published using the Illumina 450 K and EPIC arrays. These datasets are biologically and technically different, and currently, there is no consensus on how to best app"],"journal":["Clinical epigenetics"],"pubmed_title":["Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data."],"pmcid":["PMC6712867"],"funding_grant_id":["P50 CA097257","R01 CA216265","R01 AG055406","R01 ES025531","R01 CA207360","R01 ES025574","P20 GM130423","P30ES017885, R01ES025531, R01ES025574, R01MD013299, and R01AG055406","529051014","P30 ES017885","P20 GM103418","529051022","639377","696295","R24 ES028533","R01 MD013299"],"pubmed_authors":["Jones MJ","Koestler DC","Salas LA","Felix JF","Wiencke JK","Kobor MS","Gervin K","Bakulski KM","van Zelm MC","Lyle R","Christensen BC","Moll HA","Kelsey KT","Duijts L"],"additional_accession":[]},"is_claimable":false,"name":"Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data.","description":"<h4>Background</h4>Umbilical cord blood (UCB) is commonly used in epigenome-wide association studies of prenatal exposures. Accounting for cell type composition is critical in such studies as it reduces confounding due to the cell specificity of DNA methylation (DNAm). In the absence of cell sorting information, statistical methods can be applied to deconvolve heterogeneous cell mixtures. Among these methods, reference-based approaches leverage age-appropriate cell-specific DNAm profiles to estimate cellular composition. In UCB, four reference datasets comprising DNAm signatures profiled in purified cell populations have been published using the Illumina 450 K and EPIC arrays. These datasets are biologically and technically different, and currently, there is no consensus on how to best app","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Aug","modification":"2026-05-01T03:48:02.267Z","creation":"2019-09-08T07:01:04Z"},"accession":"S-EPMC6712867","cross_references":{"pubmed":["31455416"],"doi":["10.1186/s13148-019-0717-y"]}}