An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.
Genome Biol
; 19(1): 64, 2018 05 29.
Article
em En
| MEDLINE
| ID: mdl-29843789
ABSTRACT
Genome-wide methylation arrays are powerful tools for assessing cell composition of complex mixtures. We compare three approaches to select reference libraries for deconvoluting neutrophil, monocyte, B-lymphocyte, natural killer, and CD4+ and CD8+ T-cell fractions based on blood-derived DNA methylation signatures assayed using the Illumina HumanMethylationEPIC array. The IDOL algorithm identifies a library of 450 CpGs, resulting in an average R2 = 99.2 across cell types when applied to EPIC methylation data collected on artificial mixtures constructed from the above cell types. Of the 450 CpGs, 69% are unique to EPIC. This library has the potential to reduce unintended technical differences across array platforms.
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Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Células Sanguíneas
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Metilação de DNA
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Análise de Sequência com Séries de Oligonucleotídeos
Limite:
Humans
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Male
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article