Quantifying the proportion of different cell types in the human cortex using DNA methylation profiles.

ABSTRACT:

Background

Due to interindividual variation in the cellular composition of the human cortex, it is essential that covariates that capture these differences are included in epigenome-wide association studies using bulk tissue. As experimentally derived cell counts are often unavailable, computational solutions have been adopted to estimate the proportion of different cell types using DNA methylation data. Here, we validate and profile the use of an expanded reference DNA methylation dataset incorporating two neuronal and three glial cell subtypes for quantifying the cellular composition of the human cortex.

Results

We tested eight reference panels containing different combinations of neuronal- and glial cell types and characterised their performance in deconvoluting cell prop

SUBMITTER: Hannon E 

PROVIDER: S-EPMC10809680 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature