Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data.
DNA methylation
EWAS
cellular deconvolution
in silico mixtures
limit of blank
limit of detection
Journal
Epigenomics
ISSN: 1750-192X
Titre abrégé: Epigenomics
Pays: England
ID NLM: 101519720
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
medline:
29
6
2023
pubmed:
20
6
2023
entrez:
20
6
2023
Statut:
ppublish
Résumé
DNA methylation (DNAm)-based cell mixture deconvolution (CMD) has become a quintessential part of epigenome-wide association studies where DNAm is profiled in heterogeneous tissue types. Despite being introduced over a decade ago, detection limits, which represent the smallest fraction of a cell type in a mixed biospecimen that can be reliably detected, have yet to be determined in the context of DNAm-based CMD. Moreover, there has been little attention given to approaches for quantifying the uncertainty associated with DNAm-based CMD. Here, analytical frameworks for determining both cell-specific limits of detection and quantification of uncertainty associated with DNAm-based CMD are described. This work may contribute to improved rigor, reproducibility and replicability of epigenome-wide association studies involving CMD.
Identifiants
pubmed: 37337720
doi: 10.2217/epi-2023-0006
pmc: PMC10308256
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
435-451Subventions
Organisme : NCI NIH HHS
ID : P30 CA168524
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103418
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA097257
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM130423
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA207360
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103418, P20 GM130423
Pays : United States
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