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

Autor:	Yucheng Wang, Eilis Hannon, Olivia A. Grant, Tyler J. Gorrie-Stone, Meena Kumari, Jonathan Mill, Xiaojun Zhai, Klaus D. McDonald-Maier, Leonard C. Schalkwyk
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	DNA methylation Sex prediction Aneuploidy Biotechnology TP248.13-248.65 Genetics QH426-470
Zdroj:	BMC Genomics, Vol 22, Iss 1, Pp 1-11 (2021)
Druh dokumentu:	article
ISSN:	1471-2164
DOI:	10.1186/s12864-021-07675-2
Popis:	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 significantly (p
Databáze:	Directory of Open Access Journals
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