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

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. METHOD...

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Autores principales: Traylor, Matthew, Zhang, Cathy R., Adib-Samii, Poneh, Devan, William J., 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 B., Lemmens, Robin, Thijs, Vincent, Sudlow, Cathie, Wardlaw, Joanna, Rothwell, Peter M., Meschia, James F., Worrall, Bradford B., Levi, Christopher, Bevan, Steve, Furie, Karen L., Dichgans, Martin, Rosand, Jonathan, Markus, Hugh S., Rost, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731688/
https://www.ncbi.nlm.nih.gov/pubmed/26674333
http://dx.doi.org/10.1212/WNL.0000000000002263
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author Traylor, Matthew
Zhang, Cathy R.
Adib-Samii, Poneh
Devan, William J.
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 B.
Lemmens, Robin
Thijs, Vincent
Sudlow, Cathie
Wardlaw, Joanna
Rothwell, Peter M.
Meschia, James F.
Worrall, Bradford B.
Levi, Christopher
Bevan, Steve
Furie, Karen L.
Dichgans, Martin
Rosand, Jonathan
Markus, Hugh S.
Rost, Natalia
author_facet Traylor, Matthew
Zhang, Cathy R.
Adib-Samii, Poneh
Devan, William J.
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 B.
Lemmens, Robin
Thijs, Vincent
Sudlow, Cathie
Wardlaw, Joanna
Rothwell, Peter M.
Meschia, James F.
Worrall, Bradford B.
Levi, Christopher
Bevan, Steve
Furie, Karen L.
Dichgans, Martin
Rosand, Jonathan
Markus, Hugh S.
Rost, Natalia
author_sort Traylor, Matthew
collection PubMed
description 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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spelling pubmed-47316882016-02-03 Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke Traylor, Matthew Zhang, Cathy R. Adib-Samii, Poneh Devan, William J. 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 B. Lemmens, Robin Thijs, Vincent Sudlow, Cathie Wardlaw, Joanna Rothwell, Peter M. Meschia, James F. Worrall, Bradford B. Levi, Christopher Bevan, Steve Furie, Karen L. Dichgans, Martin Rosand, Jonathan Markus, Hugh S. Rost, Natalia Neurology Article 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. Lippincott Williams & Wilkins 2016-01-12 /pmc/articles/PMC4731688/ /pubmed/26674333 http://dx.doi.org/10.1212/WNL.0000000000002263 Text en © 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) (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Traylor, Matthew
Zhang, Cathy R.
Adib-Samii, Poneh
Devan, William J.
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 B.
Lemmens, Robin
Thijs, Vincent
Sudlow, Cathie
Wardlaw, Joanna
Rothwell, Peter M.
Meschia, James F.
Worrall, Bradford B.
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
title Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
title_full Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
title_fullStr Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
title_full_unstemmed Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
title_short Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
title_sort genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731688/
https://www.ncbi.nlm.nih.gov/pubmed/26674333
http://dx.doi.org/10.1212/WNL.0000000000002263
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