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
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

435-451

Subventions

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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Auteurs

Shelby Bell-Glenn (S)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA.

Lucas A Salas (LA)

Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03756, USA.

Annette M Molinaro (AM)

Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.

Rondi A Butler (RA)

Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI 02912, USA.

Brock C Christensen (BC)

Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03756, USA.
Department of Molecular & Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.
Department of Community & Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.

Karl T Kelsey (KT)

Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI 02912, USA.

John K Wiencke (JK)

Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA.

Devin C Koestler (DC)

Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA.

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