Epigenetic Association Analyses and Risk Prediction of RLS

Author:

Harrer Philip12,Mirza‐Schreiber Nazanin13,Mandel Vanessa123,Roeber Sigrun4,Stefani Ambra5ORCID,Naher Shamsun13,Wagner Matias12ORCID,Gieger Christian67,Waldenberger Melanie67,Peters Annette789,Högl Birgit5,Herms Jochen410,Schormair Barbara12ORCID,Zhao Chen13,Winkelmann Juliane121011,Oexle Konrad123ORCID

Affiliation:

1. Institute of Neurogenomics Helmholtz Zentrum München, German Research Centre for Environmental Health Munich Germany

2. Institute of Human Genetics School of Medicine, Technical University of Munich Munich Germany

3. Neurogenetic Systems Analysis Group, Institute of Neurogenomics Helmholtz Zentrum München, German Research Center for Environmental Health Munich Germany

4. Center for Neuropathology and Prion Research Ludwig‐Maximilians‐Universität Munich Germany

5. Department of Neurology Medical University of Innsbruck Innsbruck Austria

6. Research Unit of Molecular Epidemiology Helmholtz Zentrum München, German Research Center for Environmental Health Neuherberg Germany

7. Institute of Epidemiology Helmholtz Zentrum München, German Research Centre for Environmental Health Munich Germany

8. German Center for Diabetes Research (DZD) Neuherberg Germany

9. Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty Ludwig‐Maximilians‐Universität München Munich Germany

10. Munich Cluster for Systems Neurology (SyNergy) Munich Germany

11. Chair of Neurogenetics, School of Medicine Technical University of Munich Munich Germany

Abstract

ABSTRACTBackgroundAs opposed to other neurobehavioral disorders, epigenetic analyses and biomarkers are largely missing in the case of idiopathic restless legs syndrome (RLS).ObjectivesOur aims were to develop a biomarker for RLS based on DNA methylation in blood and to examine DNA methylation in brain tissues for dissecting RLS pathophysiology.MethodsMethylation of blood DNA from three independent cohorts (n = 2283) and post‐mortem brain DNA from two cohorts (n = 61) was assessed by Infinium EPIC 850 K BeadChip. Epigenome‐wide association study (EWAS) results of individual cohorts were combined by random‐effect meta‐analysis. A three‐stage selection procedure (discovery, n = 884; testing, n = 520; validation, n = 879) established an epigenetic risk score including 30 CpG sites. Epigenetic age was assessed by Horvath's multi‐tissue clock and Shireby's cortical clock.ResultsEWAS meta‐analysis revealed 149 CpG sites linked to 136 genes (P < 0.05 after Bonferroni correction) in blood and 23 CpG linked to 18 genes in brain (false discovery rate [FDR] < 5%). Gene‐set analyses of blood EWAS results suggested enrichments in brain tissue types and in subunits of the kainate‐selective glutamate receptor complex. Individual candidate genes of the brain EWAS could be assigned to neurodevelopmental or metabolic traits. The blood epigenetic risk score achieved an area under the curve (AUC) of 0.70 (0.67–0.73) in the validation set, comparable to analogous scores in other neurobehavioral disorders. A significant difference in biological age in blood or brain of RLS patients was not detectable.ConclusionsDNA methylation supports the notion of altered neurodevelopment in RLS. Epigenetic risk scores are reliably associated with RLS but require even higher accuracy to be useful as biomarkers. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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