4.7 Article

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

Journal

STROKE
Volume 51, Issue 7, Pages 2111-2121

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.119.027544

Keywords

brain; genome-wide association study; neuroimaging; risk factors; white matter

Funding

  1. National Institute of Neurological Disorders and Stroke, National Institutes of Health [R01AG059874, P41EB015922, R56AG058854, U54 EB020403, R01AG022381, U54EB020403, R01NS115845]
  2. Medical Research Council
  3. Age UK
  4. Scottish Funding Council
  5. Row Fogo Trust
  6. Welcome Trust
  7. Cross Council Lifelong Health and Wellbeing Initiative
  8. Leverhulme Trust
  9. National Institute for Health Research
  10. Biotechnology and Biological Sciences Research Council
  11. UK Medical Research Council
  12. Icelandic Heart Association
  13. Althingi
  14. Austrian Science Fund (FWF)
  15. Australian National Health and Medical Research Council
  16. Austrian National Bank
  17. Anniversary Fund
  18. European Commission FP6 STRP
  19. European Community's 5th Framework Program
  20. European Community's 7th Framework Program
  21. Netherlands Organization for Scientific Research
  22. Netherlands Consortium for Healthy Aging
  23. Russian Foundation for Basic Research
  24. Russian Federal Agency of Scientific Organizations
  25. Central Norway Regional Health Authority
  26. Norwegian University of Science and Technology
  27. Norwegian National Advisory Unit for functional magnetic resonance imaging (MRI)
  28. Leipzig Research Center for Civilization Diseases (LIFE)
  29. Bristol-Myers Squibb
  30. Netherlands Heart Foundation
  31. French National Research Agency (ANR)
  32. Foundation Leducq
  33. Joint Programme of Neurodegenerative Disease research
  34. Bordeaux University
  35. Institut Pasteur de Lille
  36. labex DISTALZ
  37. Centre National de Genotypage
  38. Deutsche Forschungsgesellschaft (DFG) [WI 3342/3-1]
  39. European Union
  40. European Regional Development Fund
  41. Free State of Saxony within LIFE-Leipzig Research Center for Civilization Diseases [100329290, 713-241202, 14505/2470, 14575/2470]
  42. Max Planck Society
  43. State of Saxony
  44. Brain Foundation
  45. National Health and Medical Research Council (NHMRC) of Australia
  46. NHMRC of Australia
  47. Parkinson's UK
  48. Medical Research Council -Dementias Platform UK
  49. National Institute on Aging, Bethesda, MD [P30 AG 010129]
  50. NATIONAL INSTITUTE ON AGING [ZIAAG007270] Funding Source: NIH RePORTER
  51. BBSRC [BB/F019394/1] Funding Source: UKRI
  52. MRC [MR/R024065/1, MR/N027558/1, G1001245, MR/M013111/1, G0700704, MR/L023784/2, G0701120] Funding Source: UKRI

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Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. Methods: Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. Results: In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A).In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes:CALCRL(2q32.1),KLHL24(3q27.1),VCAN(5q27.1), andPOLR2F(22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. Conclusions: Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

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