cell_composition.RdEstimation of cell proportions for blood and saliva using the Houseman algorithm
estimateLC(meth, ref, constrained = FALSE)Matrix of beta values
Choice of reference dataset: available options are `HRS` (Health and Retirement Study), `Reinius` [2]`, Bakulski` [3], `deGoede` [4], `Gervin`[5], `Lin` [6], `Mill` [GSE103541], `Salas` [7], `Lolipop` [8] or combinations of them, concatenated by `+`, e.g. `Reinius+Lin` (you might have to flip first and second name)). Furthermore, the option `saliva` and `salivaEPIC` are available [9].
Force that all cell proportions sum up to 1.
Estimated cell proportions B-lymphocytes, CD4 T-cells, CD8 T-cells, granulocytes, monocytes, natural killer cells (and nucleated red blood cells) using the Houseman algorithm [1]. Models were trained on various reference datasets of purified cell types.
Houseman EA, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC bioinformatics. 2012 Dec 1;13(1):86.
Reinius LE, et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PloS one. 2012 Jul 25;7(7):e41361.
Bakulski KM, et al. DNA methylation of cord blood cell types: applications for mixed cell birth studies. Epigenetics. 2016 May 3;11(5):354-62.
de Goede OM, et al. Nucleated red blood cells impact DNA methylation and expression analyses of cord blood hematopoietic cells. Clinical epigenetics. 2015 Dec;7(1):95.
Gervin K, et al. Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition. Epigenetics. 2016 Sep 1;11(9):690-8
Gervin K, et al. Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data. bioRxiv. 2019 March; DOI:10.1101/570457
Salas LA, et al. An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray. Genome biology. 2018 Dec;19(1):64.
Heiss JA, et al. Training a model for estimating leukocyte composition using whole-blood DNA methylation and cell counts as reference. Epigenomics. 2017 Jan;9(1):13-20.
Middleton LYM, et al. Saliva cell type DNA methylation reference panel for epidemiology studies in children. 2020 Sep;