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Epigenetics. 2018 Dec 5:1-17. doi: 10.1080/15592294.2018.1549769. [Epub ahead of print]
Genome-epigenome interactions associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.
Herrera S1,2, de Vega WC1,2,3, Ashbrook D1,2, Vernon SD4, McGowan PO1,2,3,5,6.
Author information
1
a Centre for Environmental Epigenetics and Development , University of Toronto , Scarborough , Canada.
2
b Department of Biological Sciences , University of Toronto , Scarborough , Canada.
3
c Department of Cell and Systems Biology , University of Toronto , Toronto , Canada.
4
d Solve ME/CFS Initiative , Los Angeles , CA , USA.
5
e Department of Psychology , University of Toronto , Toronto , Canada.
6
f Department of Physiology, Faculty of Medicine , University of Toronto , Toronto , Canada.
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease of unknown etiology. Multiple studies point to disruptions in immune functioning in ME/CFS patients as well as specific genetic polymorphisms and alterations of the DNA methylome in lymphocytes. However, potential interactions between DNA methylation and genetic background in relation to ME/CFS have not been examined. In this study we explored this association by characterizing the epigenetic (~480 thousand CpG loci) and genetic (~4.3 million SNPs) variation between cohorts of ME/CFS patients and healthy controls. We found significant associations of DNA methylation states in T-lymphocytes at several CpG loci and regions with ME/CFS phenotype. These methylation anomalies are in close proximity to genes involved with immune function and cellular metabolism. Finally, we found significant correlations of genotypes with methylation modifications associated with ME/CFS. The findings from this study highlight the role of epigenetic and genetic interactions in complex diseases, and suggest several genetic and epigenetic elements potentially involved in the mechanisms of disease in ME/CFS.
KEYWORDS:
Chronic Fatigue Syndrome; DNA methylation; Myalgic Encephalomyelitis; genotype; mQTL
PMID:
30516085
DOI:
10.1080/15592294.2018.1549769
Genome-epigenome interactions associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.
Herrera S1,2, de Vega WC1,2,3, Ashbrook D1,2, Vernon SD4, McGowan PO1,2,3,5,6.
Author information
1
a Centre for Environmental Epigenetics and Development , University of Toronto , Scarborough , Canada.
2
b Department of Biological Sciences , University of Toronto , Scarborough , Canada.
3
c Department of Cell and Systems Biology , University of Toronto , Toronto , Canada.
4
d Solve ME/CFS Initiative , Los Angeles , CA , USA.
5
e Department of Psychology , University of Toronto , Toronto , Canada.
6
f Department of Physiology, Faculty of Medicine , University of Toronto , Toronto , Canada.
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease of unknown etiology. Multiple studies point to disruptions in immune functioning in ME/CFS patients as well as specific genetic polymorphisms and alterations of the DNA methylome in lymphocytes. However, potential interactions between DNA methylation and genetic background in relation to ME/CFS have not been examined. In this study we explored this association by characterizing the epigenetic (~480 thousand CpG loci) and genetic (~4.3 million SNPs) variation between cohorts of ME/CFS patients and healthy controls. We found significant associations of DNA methylation states in T-lymphocytes at several CpG loci and regions with ME/CFS phenotype. These methylation anomalies are in close proximity to genes involved with immune function and cellular metabolism. Finally, we found significant correlations of genotypes with methylation modifications associated with ME/CFS. The findings from this study highlight the role of epigenetic and genetic interactions in complex diseases, and suggest several genetic and epigenetic elements potentially involved in the mechanisms of disease in ME/CFS.
KEYWORDS:
Chronic Fatigue Syndrome; DNA methylation; Myalgic Encephalomyelitis; genotype; mQTL
PMID:
30516085
DOI:
10.1080/15592294.2018.1549769