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Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data

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 typ...

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Detalles Bibliográficos
Autores principales: Bell-Glenn, Shelby, Salas, Lucas A, Molinaro, Annette M, Butler, Rondi A, Christensen, Brock C, Kelsey, Karl T, Wiencke, John K, Koestler, Devin C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308256/
https://www.ncbi.nlm.nih.gov/pubmed/37337720
http://dx.doi.org/10.2217/epi-2023-0006
Descripción
Sumario: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.