DNA methylation-based sex classifier to predict sex and identify sex chromosome aneuploidy.

ABSTRACT:

Background

Sex is an important covariate of epigenome-wide association studies due to its strong influence on DNA methylation patterns across numerous genomic positions. Nevertheless, many samples on the Gene Expression Omnibus (GEO) frequently lack a sex annotation or are incorrectly labelled. Considering the influence that sex imposes on DNA methylation patterns, it is necessary to ensure that methods for filtering poor samples and checking of sex assignment are accurate and widely applicable.

Results

Here we presented a novel method to predict sex using only DNA methylation beta values, which can be readily applied to almost all DNA methylation datasets of different formats (raw IDATs or text files with only signal intensities) uploaded to GEO. We identified 4345 signific

SUBMITTER: Wang Y 

PROVIDER: S-EPMC8240370 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature