Blood DNA methylation provides an accurate biomarker of KMT2B-related dystonia and predicts onset

Author:

Mirza-Schreiber Nazanin12,Zech Michael13,Wilson Rory4,Brunet Theresa13,Wagner Matias13,Jech Robert5,Boesch Sylvia6,Škorvánek Matej78,Necpál Ján9,Weise David1011,Weber Sandrina112,Mollenhauer Brit12,Trenkwalder Claudia12,Maier Esther M13,Borggraefe Ingo13,Vill Katharina13,Hackenberg Annette14,Pilshofer Veronika15,Kotzaeridou Urania16,Schwaibold Eva Maria Christina17,Hoefele Julia3,Waldenberger Melanie4,Gieger Christian418,Peters Annette181920,Meitinger Thomas3,Schormair Barbara13,Winkelmann Juliane132122,Oexle Konrad123

Affiliation:

1. Institute of Neurogenomics (ING), Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany

2. Neurogenetic Systems Analysis Group, Institute of Neurogenomics (ING), Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany

3. Institute of Human Genetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany

4. Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany

5. Department of Neurology, Charles University, 1st Faculty of Medicine and General University Hospital in Prague, 121 08 Prague, Czech Republic

6. Department of Neurology, Anichstrasse 35, 6020 Innsbruck, Austria

7. Department of Neurology, P. J. Safarik University, 04011 Kosice, Slovakia

8. Department of Neurology, University Hospital L. Pasteur, 04011 Kosice, Slovakia

9. Department of Neurology, Zvolen Hospital, 96001 Zvolen, Slovakia

10. Department of Neurology, Asklepios Fachklinikum Stadtroda, 07646 Stadtroda, Germany

11. Department of Neurology, University of Leipzig, 04103 Leipzig, Germany

12. University Medical Center Goettingen, Department of Neurology and Paracelsus-Elena-Klinik, 34128 Kassel, Germany

13. Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University, 80337 Munich, Germany

14. Department of Pediatric Neurology, University Children's Hospital, 8032 Zürich, Switzerland

15. Ordensklinikum Linz, Barmherzige Schwestern, 4010 Linz, Austria

16. Department of Child Neurology and Metabolic Medicine, Center for Pediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany

17. Institute of Human Genetics, Heidelberg University, 69120 Heidelberg, Germany

18. German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany

19. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany

20. Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, 81377 Munich, Germany

21. Chair of Neurogenetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany

22. Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany

Abstract

Abstract Dystonia is a prevalent, heterogeneous movement disorder characterized by involuntarily abnormal postures. Biomarkers of dystonia are notoriously lacking. Here, a biomarker is reported for histone lysine methyltransferase (KMT2B)-deficient dystonia, a leading subtype among the individually rare monogenic dystonias. It was derived by applying a support vector machine to an episignature of 113 DNA CpG sites which, in blood cells, showed significant epigenome-wide association with KMT2B deficiency and at least 1x log-fold change of methylation. This classifier was accurate both when tested on the general population and on samples with various other deficiencies of the epigenetic machinery, thus allowing for definitive evaluation of variants of uncertain significance and identifying patients who may profit from deep brain stimulation, a highly successful treatment in KMT2B-deficient dystonia. Methylation was increased in KMT2B deficiency at all 113 CpG sites. The coefficients of variation of the normalized methylation levels at these sites also perfectly classified the samples with KMT2B-deficient dystonia. Moreover, the mean of the normalized methylation levels correlated well with the age at onset of dystonia (p = 0.003) – being lower in samples with late or incomplete penetrance—thus serving as a predictor of disease onset and severity. Similarly, it may also function in monitoring the recently envisioned treatment of KMT2B deficiency by inhibition of DNA methylation.

Publisher

Oxford University Press (OUP)

Subject

Clinical Neurology

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