Epigenetic and integrative cross-omics analyses of cerebral white matter hyperintensities on MRI

Author:

Yang Yunju1ORCID,Knol Maria J2ORCID,Wang Ruiqi3,Mishra Aniket4,Liu Dan5,Luciano Michelle6,Teumer Alexander789,Armstrong Nicola10,Bis Joshua C11,Jhun Min A12,Li Shuo3,Adams Hieab H H213,Aziz Nasir Ahmad514,Bastin Mark E15,Bourgey Mathieu1617ORCID,Brody Jennifer A11,Frenzel Stefan18,Gottesman Rebecca F19,Hosten Norbert20,Hou Lifang21,Kardia Sharon L R12,Lohner Valerie5,Marquis Pascale1617,Maniega Susana Muñoz15,Satizabal Claudia L222324,Sorond Farzaneh A25,Valdés Hernández Maria C15,van Duijn Cornelia M226ORCID,Vernooij Meike W213ORCID,Wittfeld Katharina1827,Yang Qiong323ORCID,Zhao Wei12,Boerwinkle Eric2829,Levy Daniel2330,Deary Ian J6,Jiang Jiyang31,Mather Karen A3132ORCID,Mosley Thomas H33,Psaty Bruce M1134,Sachdev Perminder S3135ORCID,Smith Jennifer A12ORCID,Sotoodehnia Nona11,DeCarli Charles S36,Breteler Monique M B537,Ikram M Arfan2,Grabe Hans J1827,Wardlaw Joanna15,Longstreth W T3438,Launer Lenore J39,Seshadri Sudha222324,Debette Stephanie42440ORCID,Fornage Myriam128

Affiliation:

1. Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science at Houston , Houston, TX 77030 , USA

2. Department of Epidemiology, Erasmus MC University Medical Center , 3015 GD, Rotterdam , The Netherlands

3. Department of Biostatistics, Boston University School of Public Health , Boston, MA 02118 , USA

4. University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219 , F-33000 Bordeaux , France

5. Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE) , 53127 Bonn , Germany

6. Department of Psychology, University of Edinburgh , Edinburgh, EH8 9JZ , UK

7. Institute for Community Medicine, University Medicine Greifswald , Greifswald 17475 , Germany

8. German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald , Greifswald 17475 , Germany

9. Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok , Bialystok, 15-269 , Poland

10. Mathematics and Statistics, Curtin University , 6845 Perth , Australia

11. Cardiovascular Health Research Unit, Department of Medicine, University of Washington , Seattle, WA 02115 , USA

12. Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, MI 48104 , USA

13. Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center , 3015 GD, Rotterdam , The Netherlands

14. Department of Neurology, Faculty of Medicine, University of Bonn , 53127 Bonn , Germany

15. Centre for Clinical Brain Sciences, Department of Neuroimaging Sciences, University of Edinburgh , Edinburgh, EH8 9AB , UK

16. Canadian Centre for Computational Genomics, McGill University , Montréal, Quebec, Canada H3A 0G1

17. Department for Human Genetics, McGill University Genome Centre, McGill University , Montréal, Quebec, Canada H3A 0G1

18. Department of Psychiatry and Psychotherapy, University Medicine Greifswald , Greifswald 17475 , Germany

19. Stroke Branch, National Institutes of Neurological Disorders and Stroke , Bethesda, MD 20814 , USA

20. Department of Radiology and Neuroradiology, University Medicine Greifswald , 17475 Greifswald , Germany

21. Department of Preventive Medicine, Northwestern University , Chicago, IL 60611 , USA

22. Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio , San Antonio, TX 78229 , USA

23. The Framingham Heart Study , Framingham, MA 01701 , USA

24. Department of Neurology, Boston University School of Medicine , Boston, MA 02115 , USA

25. Department of Neurology, Feinberg School of Medicine, Northwestern University , Chicago, IL 60611 , USA

26. Nuffield Department of Population Health, Oxford University , Oxford, OX3 7LF , UK

27. German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald , 17475 Rostock , Germany

28. Human Genetics Center, School of Public Health, University of Texas Health Science at Houston , Houston, TX 77030 , USA

29. Human Genome Sequencing Center, Baylor College of Medicine , Houston, TX 77030 , USA

30. Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health , Bethesda, MD 20814 , USA

31. Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales , Sydney, NSW 2052 , Australia

32. Neuroscience Research Australia , Sydney, NSW 2031 , Australia

33. The Memory Impairment Neurodegenerative Dementia (MIND) Research Center, University of Mississippi Medical Center , Jackson, MS 39216 , USA

34. Department of Epidemiology, University of Washington , Seattle, WA 98104 , USA

35. Neuropsychiatric Institute, The Prince of Wales Hospital, University of New South Wales , Randwick, NSW 2031 , Australia

36. Department of Neurology and Center for Neuroscience, University of California at Davis , Sacramento, CA 95816 , USA

37. Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn , 53127 Bonn , Germany

38. Department of Neurology, University of Washington , Seattle, WA 98104 , USA

39. Intramural Research Program, National Institute on Aging, National Institutes of Health , Bethesda, MD 20814 , USA

40. CHU de Bordeaux, Department of Neurology , F-33000 Bordeaux , France

Abstract

Abstract Cerebral white matter hyperintensities on MRI are markers of cerebral small vessel disease, a major risk factor for dementia and stroke. Despite the successful identification of multiple genetic variants associated with this highly heritable condition, its genetic architecture remains incompletely understood. More specifically, the role of DNA methylation has received little attention. We investigated the association between white matter hyperintensity burden and DNA methylation in blood at ∼450 000 cytosine-phosphate-guanine (CpG) sites in 9732 middle-aged to older adults from 14 community-based studies. Single CpG and region-based association analyses were carried out. Functional annotation and integrative cross-omics analyses were performed to identify novel genes underlying the relationship between DNA methylation and white matter hyperintensities. We identified 12 single CpG and 46 region-based DNA methylation associations with white matter hyperintensity burden. Our top discovery single CpG, cg24202936 (P = 7.6 × 10−8), was associated with F2 expression in blood (P = 6.4 × 10−5) and co-localized with FOLH1 expression in brain (posterior probability = 0.75). Our top differentially methylated regions were in PRMT1 and in CCDC144NL-AS1, which were also represented in single CpG associations (cg17417856 and cg06809326, respectively). Through Mendelian randomization analyses cg06809326 was putatively associated with white matter hyperintensity burden (P = 0.03) and expression of CCDC144NL-AS1 possibly mediated this association. Differentially methylated region analysis, joint epigenetic association analysis and multi-omics co-localization analysis consistently identified a role of DNA methylation near SH3PXD2A, a locus previously identified in genome-wide association studies of white matter hyperintensities. Gene set enrichment analyses revealed functions of the identified DNA methylation loci in the blood–brain barrier and in the immune response. Integrative cross-omics analysis identified 19 key regulatory genes in two networks related to extracellular matrix organization, and lipid and lipoprotein metabolism. A drug-repositioning analysis indicated antihyperlipidaemic agents, more specifically peroxisome proliferator-activated receptor-alpha, as possible target drugs for white matter hyperintensities. Our epigenome-wide association study and integrative cross-omics analyses implicate novel genes influencing white matter hyperintensity burden, which converged on pathways related to the immune response and to a compromised blood–brain barrier possibly due to disrupted cell–cell and cell–extracellular matrix interactions. The results also suggest that antihyperlipidaemic therapy may contribute to lowering risk for white matter hyperintensities possibly through protection against blood–brain barrier disruption.

Funder

National Institute of Neurological Disorders and Stroke

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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