EpigeneticsGeneticsPeer-reviewed journal article
Identification of 20 novel loci associated to ischemic stroke. Epigenome-Wide Association Study
Carolina Soriano‐TárragaiD, Uxue LazcanoiD, Eva Giralt SteinhaueriD, Carla Avellaneda-GómeziD, Ángel OisiD, Ana Rodríguez-CampelloiD, Elisa Cuadrado‐GodiaiD, Alejandra Gómez-GonzáleziD, Alba Fernández‐SanlésiD, Roberto ElosúaiD, Israel Fernández‐CadenasiD, Natàlia CullelliD, Joan MontaneriD, Sebastián MorániD, Manel EstelleriD, Jordi Jiménez-CondeiD, Jaume RoqueriD
Abstract
RationaleDNA methylation is dynamic, varies throughout the life course, and its levels are influenced by lifestyle and environmental factors, as well as by genetic variation. The leading genetic variants at stroke risk loci identified to date explain roughly 1-2% of stroke heritability. Most of these single nucleotide polymorphisms are situated within a regulatory sequence marked by DNase I hypersensitivity sites, which would indicate involvement of an epigenetic mechanism. ObjectiveTo detect epigenetic variants associated to stroke occurrence and stroke subtypes. Methods and ResultsA two-stage case-control epigenome-wide association study was designed. The discovery sample with 401 samples included 218 ischemic stroke (IS) patients, assessed at Hospital del Mar (Barcelona, Spain) and 183 controls from the REGICOR cohort. In two independent samples (N=226 and N=166), we replicated 22 CpG sites differentially methylated in IS in 21 loci, including 2 CpGs in locus ZFHX3, which includes known genetic variants associated with stroke. The pathways associated to these loci are inflammation and angiogenesis. The meta-analysis identified 384 differentially methylated CpGs, including loci of known stroke and vascular risk genetic variants, enriched by loci involved in lipid metabolism, adipogenesis, circadian clock, and glycolysis pathways. Stratification analysis by stroke subtypes revealed distinct methylation patterns. ConclusionsWe identified a set of 22 CpGs in 21 loci associated with IS. Our analysis suggests that DNA methylation changes may contribute to orchestrating gene expression that contributes to IS.
- organism: human
- assay: DNA methylation
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 44
- FWCI
- 1.78
- Field percentile
- top 15%
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