Exploratory analysis of age and sex dependent DNA methylation patterns on the X-chromosome in whole blood samples

Background Large numbers of autosomal sites are found differentially methylated in the aging genome. Due to analytical difficulties in dealing with sex differences in X-chromosome content and X-inactivation (XCI) in females, this has not been explored for the X chromosome. Methods Using data from mi...

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Veröffentlicht in:Genome medicine 2020-04, Vol.12 (1), p.39-39, Article 39
Hauptverfasser: Li, Shuxia, Lund, Jesper B., Christensen, Kaare, Baumbach, Jan, Mengel-From, Jonas, Kruse, Torben, Li, Weilong, Mohammadnejad, Afsaneh, Pattie, Alison, Marioni, Riccardo E., Deary, Ian J., Tan, Qihua
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Sprache:eng
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Zusammenfassung:Background Large numbers of autosomal sites are found differentially methylated in the aging genome. Due to analytical difficulties in dealing with sex differences in X-chromosome content and X-inactivation (XCI) in females, this has not been explored for the X chromosome. Methods Using data from middle age to elderly individuals (age 55+ years) from two Danish cohorts of monozygotic twins and the Scottish Lothian Birth Cohort 1921, we conducted an X-chromosome-wide analysis of age-associated DNA methylation patterns with consideration of stably inferred XCI status. Results Through analysing and comparing sex-specific X-linked DNA methylation changes over age late in life, we identified 123, 293 and 55 CpG sites significant (FDR < 0.05) only in males, only in females and in both sexes of Danish twins. All findings were significantly replicated in the two Danish twin cohorts. CpG sites escaping XCI are predominantly de-methylated with increasing age across cohorts. In contrast, CpGs highly methylated in both sexes are methylated even further with increasing age. Among the replicated sites in Danish samples, 16 (13%), 24 (8.2%) and 3 (5.5%) CpGs were further validated in LBC1921 (FDR < 0.05). Conclusions The X-chromosome of whole blood leukocytes displays age- and sex-dependent DNA methylation patterns in relation to XCI across cohorts.
ISSN:1756-994X
1756-994X
DOI:10.1186/s13073-020-00736-3