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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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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
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author Bell-Glenn, Shelby
Salas, Lucas A
Molinaro, Annette M
Butler, Rondi A
Christensen, Brock C
Kelsey, Karl T
Wiencke, John K
Koestler, Devin C
author_facet Bell-Glenn, Shelby
Salas, Lucas A
Molinaro, Annette M
Butler, Rondi A
Christensen, Brock C
Kelsey, Karl T
Wiencke, John K
Koestler, Devin C
author_sort Bell-Glenn, Shelby
collection PubMed
description 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.
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spelling pubmed-103082562023-06-30 Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data Bell-Glenn, Shelby Salas, Lucas A Molinaro, Annette M Butler, Rondi A Christensen, Brock C Kelsey, Karl T Wiencke, John K Koestler, Devin C Epigenomics Methodology 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. Future Medicine Ltd 2023-06-20 2023-04 /pmc/articles/PMC10308256/ /pubmed/37337720 http://dx.doi.org/10.2217/epi-2023-0006 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Methodology
Bell-Glenn, Shelby
Salas, Lucas A
Molinaro, Annette M
Butler, Rondi A
Christensen, Brock C
Kelsey, Karl T
Wiencke, John K
Koestler, Devin C
Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title_full Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title_fullStr Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title_full_unstemmed Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title_short Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data
title_sort calculating detection limits and uncertainty of reference-based deconvolution of whole-blood dna methylation data
topic Methodology
url 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
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