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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2016
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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. |
format | Online Article Text |
id | pubmed-4731688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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