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Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke
Ischemic stroke (IS), caused by obstruction of cerebral blood flow, is one of the leading causes of death. While neurologists agree on delineation of IS into three subtypes (cardioembolic stroke (CES), large artery stroke (LAS), and small vessel stroke (SVS)), several subtyping systems exist. The mo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316747/ https://www.ncbi.nlm.nih.gov/pubmed/32047268 http://dx.doi.org/10.1038/s41431-020-0580-5 |
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author | von Berg, Joanna van der Laan, Sander W. McArdle, Patrick F. Malik, Rainer Kittner, Steven J. Mitchell, Braxton D. Worrall, Bradford B. de Ridder, Jeroen Pulit, Sara L. |
author_facet | von Berg, Joanna van der Laan, Sander W. McArdle, Patrick F. Malik, Rainer Kittner, Steven J. Mitchell, Braxton D. Worrall, Bradford B. de Ridder, Jeroen Pulit, Sara L. |
author_sort | von Berg, Joanna |
collection | PubMed |
description | Ischemic stroke (IS), caused by obstruction of cerebral blood flow, is one of the leading causes of death. While neurologists agree on delineation of IS into three subtypes (cardioembolic stroke (CES), large artery stroke (LAS), and small vessel stroke (SVS)), several subtyping systems exist. The most commonly used systems are TOAST (Trial of Org 10172 in Acute Stroke Treatment) and CCS (Causative Classification System for Stroke), but agreement is only moderate. We have compared two approaches to combining the existing subtyping systems for a phenotype suited for a genome-wide association study (GWAS). We used the NINDS Stroke Genetics Network dataset (SiGN, 11,477 cases with CCS and TOAST subtypes and 28,026 controls). We defined two new phenotypes: the intersect, for which an individual must be assigned the same subtype by CCS and TOAST; and the union, for which an individual must be assigned a subtype by either CCS or TOAST. The union yields the largest sample size while the intersect yields a phenotype with less potential misclassification. We performed GWAS for all subtypes, using the original subtyping systems, the intersect, and the union as phenotypes. In each subtype, heritability was higher for the intersect compared with the other phenotypes. We observed stronger effects at known IS variants with the intersect compared with the other phenotypes. With the intersect, we identify rs10029218:G>A as an associated variant with SVS. We conclude that this approach increases the likelihood to detect genetic associations in ischemic stroke. |
format | Online Article Text |
id | pubmed-7316747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73167472020-06-30 Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke von Berg, Joanna van der Laan, Sander W. McArdle, Patrick F. Malik, Rainer Kittner, Steven J. Mitchell, Braxton D. Worrall, Bradford B. de Ridder, Jeroen Pulit, Sara L. Eur J Hum Genet Article Ischemic stroke (IS), caused by obstruction of cerebral blood flow, is one of the leading causes of death. While neurologists agree on delineation of IS into three subtypes (cardioembolic stroke (CES), large artery stroke (LAS), and small vessel stroke (SVS)), several subtyping systems exist. The most commonly used systems are TOAST (Trial of Org 10172 in Acute Stroke Treatment) and CCS (Causative Classification System for Stroke), but agreement is only moderate. We have compared two approaches to combining the existing subtyping systems for a phenotype suited for a genome-wide association study (GWAS). We used the NINDS Stroke Genetics Network dataset (SiGN, 11,477 cases with CCS and TOAST subtypes and 28,026 controls). We defined two new phenotypes: the intersect, for which an individual must be assigned the same subtype by CCS and TOAST; and the union, for which an individual must be assigned a subtype by either CCS or TOAST. The union yields the largest sample size while the intersect yields a phenotype with less potential misclassification. We performed GWAS for all subtypes, using the original subtyping systems, the intersect, and the union as phenotypes. In each subtype, heritability was higher for the intersect compared with the other phenotypes. We observed stronger effects at known IS variants with the intersect compared with the other phenotypes. With the intersect, we identify rs10029218:G>A as an associated variant with SVS. We conclude that this approach increases the likelihood to detect genetic associations in ischemic stroke. Springer International Publishing 2020-02-11 2020-07 /pmc/articles/PMC7316747/ /pubmed/32047268 http://dx.doi.org/10.1038/s41431-020-0580-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article von Berg, Joanna van der Laan, Sander W. McArdle, Patrick F. Malik, Rainer Kittner, Steven J. Mitchell, Braxton D. Worrall, Bradford B. de Ridder, Jeroen Pulit, Sara L. Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title | Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title_full | Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title_fullStr | Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title_full_unstemmed | Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title_short | Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
title_sort | alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316747/ https://www.ncbi.nlm.nih.gov/pubmed/32047268 http://dx.doi.org/10.1038/s41431-020-0580-5 |
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