4.8 Article

Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation

Journal

NATURE COMMUNICATIONS
Volume 9, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-018-05714-3

Keywords

-

Funding

  1. BBMRI-NL
  2. Dutch government (NWO) [184.021.007, 184.033.111]
  3. UK Medical Research Council
  4. Wellcome [102215/2/13/2]
  5. University of Bristol
  6. UK Economic and Social Research Council [ES/N000498/1]
  7. UK Medical Research Council [MC_UU_12013/1, MC_UU_12013/2]
  8. Helmholtz Zentrum Munchen - German Research Center for Environmental Health - German Federal Ministry of Education and Research (BMBF)
  9. State of Bavaria
  10. Munich Center of Health Sciences (MC-Health), Ludwig-Maximilians-Universitat as part of LMUinnovativ
  11. Wellcome Trust
  12. Medical Research Council
  13. European Union (EU)
  14. National Institute for Health Research (NIHR)
  15. King's College London
  16. SURF Cooperative
  17. BBSRC [BB/I025263/1] Funding Source: UKRI
  18. ESRC [ES/N000404/1] Funding Source: UKRI
  19. MRC [MC_UU_00011/5, MC_UU_12013/2] Funding Source: UKRI

Ask authors/readers for more resources

X-chromosome inactivation (XCI), i.e., the inactivation of one of the female X chromosomes, restores equal expression of X-chromosomal genes between females and males. However, similar to 10% of genes show variable degrees of escape from XCI between females, although little is known about the causes of variable XCI. Using a discovery data-set of 1867 females and 1398 males and a replication sample of 3351 females, we show that genetic variation at three autosomal loci is associated with female-specific changes in X-chromosome methylation. Through cis-eQTL expression analysis, we map these loci to the genes SMCHD1/METTL4, TRIM6/HBG2, and ZSCAN9. Low-expression alleles of the loci are predominantly associated with mild hypomethylation of CpG islands near genes known to variably escape XCI, implicating the autosomal genes in variable XCI. Together, these results suggest a genetic basis for variable escape from XCI and highlight the potential of a population genomics approach to identify genes involved in XCI.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available