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

  • Matthew Traylor
  • , Cathy R. Zhang
  • , Poneh Adib-Samii
  • , William J. Devan
  • , Owen E. Parsons
  • , Silvia Lanfranconi
  • , Sarah Gregory
  • , Lisa Cloonan
  • , Guido J. Falcone
  • , Farid Radmanesh
  • , Kaitlin Fitzpatrick
  • , Allison Kanakis
  • , Thomas R. Barrick
  • , Barry Moynihan
  • , Cathryn M. Lewis
  • , Giorgio B. Boncoraglio
  • , Robin Lemmens
  • , Vincent Thijs
  • , Cathie Sudlow
  • , Joanna Wardlaw
  • Peter M. Rothwell, James F. Meschia, Bradford B. Worrall, Christopher Levi, Steve Bevan, Karen L. Furie, Martin Dichgans, Jonathan Rosand, Hugh S. Markus, Natalia Rost

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

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.

Original languageEnglish
Pages (from-to)146-153
Number of pages8
JournalNeurology
Volume86
Issue number2
DOIs
StatePublished - 12 Jan 2016
Externally publishedYes

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