Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns

Nina S. McCarthy, Phillip E. Melton, Gemma Cadby, Seyhan Yazar, Maria Franchina, Eric K. Moses, David A. Mackey, Alex W. Hewitt

Resultado de la investigación: Articlerevisión exhaustiva

66 Citas (Scopus)


Background: Several individual studies have suggested that autosomal CpG methylation differs by sex both in terms of individual CpG sites and global autosomal CpG methylation. However, these findings have been inconsistent and plagued by spurious associations due to the cross reactivity of CpG probes on commercial microarrays. We collectively analysed 76 published studies (n = 6,795) for sex-associated differences in both autosomal and sex chromosome CpG sites. Results: Overall autosomal methylation profiles varied substantially by study, and we encountered substantial batch effects. We accounted for these by conducting random effects meta-analysis for individual autosomal CpG methylation associations. After excluding non-specific probes, we found 184 autosomal CpG sites differentially methylated by sex after correction for multiple testing. In line with previous studies, average beta differences were small. Many of the most significantly associated CpG probes were new. Of note was differential CpG methylation in the promoters of genes thought to be involved in spermatogenesis and male fertility, such as SLC9A2, SPESP1, CRISP2, and NUPL1. Pathway analysis revealed overrepresentation of genes differentially methylated by sex in several broad Gene Ontology biological processes, including RNA splicing and DNA repair. Conclusions: This study represents a comprehensive analysis of sex-specific methylation patterns. We demonstrate the existence of sex-specific methylation profiles and report a large number of novel DNA methylation differences in autosomal CpG sites between sexes.

Idioma originalEnglish (US)
Número de artículo981
PublicaciónBMC genomics
EstadoPublished - nov 18 2014
Publicado de forma externa

ASJC Scopus subject areas

  • Biotechnology
  • Genetics


Profundice en los temas de investigación de 'Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns'. En conjunto forman una huella única.

Citar esto