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Epigenomics. 2018 May;10(5):539-557. doi: 10.2217/epi-2017-0150. Epub 2018 Apr 25.

Integration of DNA methylation & health scores identifies subtypes in myalgic encephalomyelitis/chronic fatigue syndrome.

Author information

1
Department of Biological Sciences, University of Toronto, Scarborough, Toronto, Ontario, Canada.
2
Department of Cell & Systems Biology, University of Toronto, Toronto, Ontario, Canada.
3
Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
4
Genetics & Genome Biology, SickKids Research Institute, Toronto, Ontario, Canada.
5
The Bateman Horne Center of Excellence, Salt Lake City, UT 84102, USA.
6
Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
7
Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Abstract

AIM:

To identify subtypes in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) based on DNA methylation profiles and health scores.

METHODS:

DNA methylome profiles in immune cells were integrated with symptomatology from 70 women with ME/CFS using similarity network fusion to identify subtypes.

RESULTS:

We discovered four ME/CFS subtypes associated with DNA methylation modifications in 1939 CpG sites, three RAND-36 categories and five DePaul Symptom Questionnaire measures. Methylation patterns of immune response genes and differences in physical functioning and postexertional malaise differentiated the subtypes.

CONCLUSION:

ME/CFS subtypes are associated with specific DNA methylation differences and health symptomatology and provide additional evidence of the potential relevance of metabolic and immune differences in ME/CFS with respect to specific symptoms.

KEYWORDS:

CFS; DNA methylation; chronic fatigue syndrome; clinical subtyping; complex disease; epigenetics; health survey; myalgic encephalomyelitis; similarity network fusion; symptom heterogeneity

PMID:
29692205
DOI:
10.2217/epi-2017-0150

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