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

Traylor, M; Zhang, CR; Adib-Samii, P; Devan, WJ; Parsons, OE; Lanfranconi, S; Gregory, S; Cloonan, L; Falcone, GJ; Radmanesh, F; et al. Traylor, M; Zhang, CR; Adib-Samii, P; Devan, WJ; 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, JF; Worrall, BB; Levi, C; Bevan, S; Furie, KL; Dichgans, M; Rosand, J; Markus, HS; Rost, N; International Stroke Genetics Consortium, ISG (2015) Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke. Neurology, 86 (2). pp. 146-153. ISSN 1526-632X https://doi.org/10.1212/WNL.0000000000002263
SGUL Authors: Barrick, Thomas Richard

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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.

Item Type: Article
Additional Information: © 2015 American Academy of Neurology. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Cerebral Small Vessel Diseases, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Stroke, White Matter, International Stroke Genetics Consortium, Humans, Genetic Predisposition to Disease, Risk Factors, Polymorphism, Single Nucleotide, Stroke, Genome-Wide Association Study, Genetic Testing, Cerebral Small Vessel Diseases, White Matter, Neurology & Neurosurgery, 1103 Clinical Sciences, 1109 Neurosciences, 1702 Cognitive Science
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Neuroscience (INCCNS)
Journal or Publication Title: Neurology
ISSN: 1526-632X
Language: eng
Dates:
DateEvent
16 December 2015Published
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
095626Wellcome Trusthttp://dx.doi.org/10.13039/100004440
G0500247Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G0900295Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
R01 AG033193National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
PubMed ID: 26674333
Web of Science ID: WOS:000368454800008
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/107886
Publisher's version: https://doi.org/10.1212/WNL.0000000000002263

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