A targeted solution for estimating the cell-type composition of bulk samples.

ABSTRACT:

Background

To avoid false-positive findings and detect cell-type specific associations in methylation and transcription investigations with bulk samples, it is critical to know the proportions of the major cell-types.

Results

We present a novel approach that allows for precise estimation of cell-type proportions using only a few highly informative methylation markers. The most reliable estimates were obtained with 17 amplicons (34 CpGs) using the MuSiC estimator, for which the average correlations between the estimated and the true cell-type proportions were 0.889. Furthermore, the estimates were not significantly different from the true values (P = 0.95) indicating that the estimator is unbiased and the standard deviation of the estimates further indicate high precision. Mo

SUBMITTER: van den Oord EJCG 

PROVIDER: S-EPMC8474864 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature