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

Matthew Traylor, Cathy R. Zhang, Poneh Adib-Samii, William 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 Battista Boncoraglio, Robin Lemmens, Vincent Thijs, Cathie Sudlow, Joanna WardlawPeter M. Rothwell, James Meschia, Bradford Worrall, Christopher Levi, Steve Bevan, Karen L. Furie, Martin Dichgans, Jonathan Rosand, Hugh S. Markus, Natalia Rost

Research output: Contribution to journalArticle

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
Publication statusPublished - Jan 12 2016

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Meta-Analysis
Stroke
Genome
Population
Stroke Volume
Cerebral Small Vessel Diseases
Genetic Loci
White Matter
Belgium
Genetic Predisposition to Disease
Italy
Single Nucleotide Polymorphism

ASJC Scopus subject areas

  • Clinical Neurology

Cite this

Traylor, M., Zhang, C. R., Adib-Samii, P., Devan, W., Parsons, O. E., Lanfranconi, S., ... Rost, N. (2016). Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. Neurology, 86(2), 146-153. https://doi.org/10.1212/WNL.0000000000002263

Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. / Traylor, Matthew; Zhang, Cathy R.; Adib-Samii, Poneh; Devan, William; Parsons, Owen E.; Lanfranconi, Silvia; Gregory, Sarah; Cloonan, Lisa; Falcone, Guido J.; Radmanesh, Farid; Fitzpatrick, Kaitlin; Kanakis, Allison; Barrick, Thomas R.; Moynihan, Barry; Lewis, Cathryn M.; Boncoraglio, Giorgio Battista; Lemmens, Robin; Thijs, Vincent; Sudlow, Cathie; Wardlaw, Joanna; Rothwell, Peter M.; Meschia, James; Worrall, Bradford; Levi, Christopher; Bevan, Steve; Furie, Karen L.; Dichgans, Martin; Rosand, Jonathan; Markus, Hugh S.; Rost, Natalia.

In: Neurology, Vol. 86, No. 2, 12.01.2016, p. 146-153.

Research output: Contribution to journalArticle

Traylor, M, Zhang, CR, Adib-Samii, P, Devan, W, Parsons, OE, Lanfranconi, S, Gregory, S, Cloonan, L, Falcone, GJ, Radmanesh, F, Fitzpatrick, K, Kanakis, A, Barrick, TR, Moynihan, B, Lewis, CM, Boncoraglio, GB, Lemmens, R, Thijs, V, Sudlow, C, Wardlaw, J, Rothwell, PM, Meschia, J, Worrall, B, Levi, C, Bevan, S, Furie, KL, Dichgans, M, Rosand, J, Markus, HS & Rost, N 2016, 'Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke', Neurology, vol. 86, no. 2, pp. 146-153. https://doi.org/10.1212/WNL.0000000000002263
Traylor, Matthew ; Zhang, Cathy R. ; Adib-Samii, Poneh ; Devan, William ; Parsons, Owen E. ; Lanfranconi, Silvia ; Gregory, Sarah ; Cloonan, Lisa ; Falcone, Guido J. ; Radmanesh, Farid ; Fitzpatrick, Kaitlin ; Kanakis, Allison ; Barrick, Thomas R. ; Moynihan, Barry ; Lewis, Cathryn M. ; Boncoraglio, Giorgio Battista ; Lemmens, Robin ; Thijs, Vincent ; Sudlow, Cathie ; Wardlaw, Joanna ; Rothwell, Peter M. ; Meschia, James ; Worrall, Bradford ; Levi, Christopher ; Bevan, Steve ; Furie, Karen L. ; Dichgans, Martin ; Rosand, Jonathan ; Markus, Hugh S. ; Rost, Natalia. / Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. In: Neurology. 2016 ; Vol. 86, No. 2. pp. 146-153.
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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.",
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AU - Traylor, Matthew

AU - Zhang, Cathy R.

AU - Adib-Samii, Poneh

AU - Devan, William

AU - Parsons, Owen E.

AU - Lanfranconi, Silvia

AU - Gregory, Sarah

AU - Cloonan, Lisa

AU - Falcone, Guido J.

AU - Radmanesh, Farid

AU - Fitzpatrick, Kaitlin

AU - Kanakis, Allison

AU - Barrick, Thomas R.

AU - Moynihan, Barry

AU - Lewis, Cathryn M.

AU - Boncoraglio, Giorgio Battista

AU - Lemmens, Robin

AU - Thijs, Vincent

AU - Sudlow, Cathie

AU - Wardlaw, Joanna

AU - Rothwell, Peter M.

AU - Meschia, James

AU - Worrall, Bradford

AU - Levi, Christopher

AU - Bevan, Steve

AU - Furie, Karen L.

AU - Dichgans, Martin

AU - Rosand, Jonathan

AU - Markus, Hugh S.

AU - Rost, Natalia

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N2 - 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.

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