Low variability in the underlying cellular landscape adversely affects the performance of interaction-based approaches for conducting cell-specific analyses of DNA methylation in bulk samples.

Meier, Richard; Nissen, Emily; Koestler, Devin C

Meier, Richard; Nissen, Emily; Koestler, Devin C.

Afiliação

Meier R; Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City 66160, KS, USA.
Nissen E; Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City 66160, KS, USA.
Koestler DC; Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City 66160, KS, USA.

Stat Appl Genet Mol Biol ; 20(3): 73-84, 2021 08 10.

Article em En | MEDLINE | ID: mdl-34378875

Assuntos

Metilação de DNA; Epigênese Genética; Simulação por Computador; Fenótipo

Palavras-chave

EWAS; cell fraction; cell proportion; interaction; methylation; variability

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metilação de DNA / Epigênese Genética Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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