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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.
Afiliação
  • Bell-Glenn S; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA.
  • Salas LA; Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03756, USA.
  • Molinaro AM; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
  • Butler RA; Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI 02912, USA.
  • Christensen BC; Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03756, USA.
  • Kelsey KT; Department of Molecular & Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.
  • Wiencke JK; Department of Community & Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA.
  • Koestler DC; Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI 02912, USA.
Epigenomics ; 15(7): 435-451, 2023 04.
Article em En | MEDLINE | ID: mdl-37337720
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética Idioma: En Ano de publicação: 2023 Tipo de documento: Article