Scientific article
Meta-analysis
OA Policy
English

Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke

Published inNeurology, vol. 86, no. 2, p. 146-153
Publication date2016-01-12
First online date2015-12-16
Abstract

Objective: For 3,670 stroke patients from the United Kingdom, United States, Australia, Belgium, and Italy, we performed a genome-wide meta-analysis of white matter hyperintensity volumes (WMHV) on data imputed to the 1000 Genomes reference dataset to provide insights into disease mechanisms.

Methods: We first sought to identify genetic associations with white matter hyperintensities in a stroke population, and then examined whether genetic loci previously linked to WMHV in community populations are also associated in stroke patients. Having established that genetic associations are shared between the 2 populations, we performed a meta-analysis testing which associations with WMHV in stroke-free populations are associated overall when combined with stroke populations.

Results: There were no associations at genome-wide significance with WMHV in stroke patients. All previously reported genome-wide significant associations with WMHV in community populations shared direction of effect in stroke patients. In a meta-analysis of the genome-wide significant and suggestive loci (p < 5 × 10(-6)) from community populations (15 single nucleotide polymorphisms in total) and from stroke patients, 6 independent loci were associated with WMHV in both populations. Four of these are novel associations at the genome-wide level (rs72934505 [NBEAL1], p = 2.2 × 10(-8); rs941898 [EVL], p = 4.0 × 10(-8); rs962888 [C1QL1], p = 1.1 × 10(-8); rs9515201 [COL4A2], p = 6.9 × 10(-9)).

Conclusions: Genetic associations with WMHV are shared in otherwise healthy individuals and patients with stroke, indicating common genetic susceptibility in cerebral small vessel disease.

Keywords
  • Cerebral Small Vessel Diseases / genetics
  • Genetic Predisposition to Disease / genetics
  • Genetic Testing / methods
  • Genome-Wide Association Study
  • Humans
  • Polymorphism, Single Nucleotide / genetics
  • Risk Factors
  • Stroke / epidemiology
  • Stroke / physiopathology
  • White Matter / physiopathology
Funding
  • NINDS NIH HHS [R01 NS017950]
  • NIA NIH HHS [R01 AG054076]
  • Wellcome Trust [095626]
  • Wellcome Trust [104040]
  • NINDS NIH HHS [R01 NS085419]
  • NIA NIH HHS [R01 AG008122]
  • NIA NIH HHS [R01 AG033193]
  • Medical Research Council [G0900295]
  • NCATS NIH HHS [UL1 TR001425]
  • NIA NIH HHS [P30 AG010129]
  • Medical Research Council [G0500247]
  • Medical Research Council [MR/K026992/1]
  • National Institute for Health Research (NIHR) [NF-SI-0512-10019]
  • Stroke Association [TSA2009/08]
Citation (ISO format)
TRAYLOR, Matthew et al. Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. In: Neurology, 2016, vol. 86, n° 2, p. 146–153. doi: 10.1212/WNL.0000000000002263
Main files (1)
Article (Published version)
Secondary files (8)
Appendix - International Stroke Genetics Consortium Co-investigators
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Appendix
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Supplemental data - Tables e-1 to e-3
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Identifiers
Journal ISSN0028-3878
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