The copy number variation and stroke (CaNVAS) risk and outcome study.

<h4>Background and purpose</h4>The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap.<h4>Methods</h4>Over 24,500 well-phe...

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Autores principales: John W Cole, Taiwo Adigun, Rufus Akinyemi, Onoja Matthew Akpa, Steven Bell, Bowang Chen, Jordi Jimenez Conde, Uxue Lazcano Dobao, Israel Fernandez, Myriam Fornage, Cristina Gallego-Fabrega, Christina Jern, Michael Krawczak, Arne Lindgren, Hugh S Markus, Olle Melander, Mayowa Owolabi, Kristina Schlicht, Martin Söderholm, Vinodh Srinivasasainagendra, Carolina Soriano Tárraga, Martin Stenman, Hemant Tiwari, Margaret Corasaniti, Natalie Fecteau, Beth Guizzardi, Haley Lopez, Kevin Nguyen, Brady Gaynor, Timothy O'Connor, O Colin Stine, Steven J Kittner, Patrick McArdle, Braxton D Mitchell, Huichun Xu, Caspar Grond-Ginsbach
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spelling oai:doaj.org-article:048e7ee362064d80abc4e0480d4c47ac2021-12-02T20:07:21ZThe copy number variation and stroke (CaNVAS) risk and outcome study.1932-620310.1371/journal.pone.0248791https://doaj.org/article/048e7ee362064d80abc4e0480d4c47ac2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0248791https://doaj.org/toc/1932-6203<h4>Background and purpose</h4>The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap.<h4>Methods</h4>Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and exome arrays, with case measures of stroke outcome. To evaluate CNV-associated stroke risk and stroke outcome it is planned to: 1) perform Risk Discovery using several analytic approaches to identify CNVs that are associated with the risk of IS and its subtypes, across the age-, sex- and ethnicity-spectrums; 2) perform Risk Replication and Extension to determine whether the identified stroke-associated CNVs replicate in other ethnically diverse datasets and use biomarker data (e.g. methylation, proteomic, RNA, miRNA, etc.) to evaluate how the identified CNVs exert their effects on stroke risk, and lastly; 3) perform outcome-based Replication and Extension analyses of recent findings demonstrating an inverse relationship between CNV burden and stroke outcome at 3 months (mRS), and then determine the key CNV drivers responsible for these associations using existing biomarker data.<h4>Results</h4>The results of an initial CNV evaluation of 50 samples from each participating dataset are presented demonstrating that the existing GWAS and exome chip data are excellent for the planned CNV analyses. Further, some samples will require additional considerations for analysis, however such samples can readily be identified, as demonstrated by a sample demonstrating clonal mosaicism.<h4>Conclusion</h4>The CaNVAS study will cost-effectively leverage the numerous advantages of using existing case-control data sets, exploring the relationships between CNV and IS and its subtypes, and outcome at 3 months, in both men and women, in those of African and European-Caucasian descent, this, across the entire adult-age spectrum.John W ColeTaiwo AdigunRufus AkinyemiOnoja Matthew AkpaSteven BellBowang ChenJordi Jimenez CondeUxue Lazcano DobaoIsrael FernandezMyriam FornageCristina Gallego-FabregaChristina JernMichael KrawczakArne LindgrenHugh S MarkusOlle MelanderMayowa OwolabiKristina SchlichtMartin SöderholmVinodh SrinivasasainagendraCarolina Soriano TárragaMartin StenmanHemant TiwariMargaret CorasanitiNatalie FecteauBeth GuizzardiHaley LopezKevin NguyenBrady GaynorTimothy O'ConnorO Colin StineSteven J KittnerPatrick McArdleBraxton D MitchellHuichun XuCaspar Grond-GinsbachPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 4, p e0248791 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
John W Cole
Taiwo Adigun
Rufus Akinyemi
Onoja Matthew Akpa
Steven Bell
Bowang Chen
Jordi Jimenez Conde
Uxue Lazcano Dobao
Israel Fernandez
Myriam Fornage
Cristina Gallego-Fabrega
Christina Jern
Michael Krawczak
Arne Lindgren
Hugh S Markus
Olle Melander
Mayowa Owolabi
Kristina Schlicht
Martin Söderholm
Vinodh Srinivasasainagendra
Carolina Soriano Tárraga
Martin Stenman
Hemant Tiwari
Margaret Corasaniti
Natalie Fecteau
Beth Guizzardi
Haley Lopez
Kevin Nguyen
Brady Gaynor
Timothy O'Connor
O Colin Stine
Steven J Kittner
Patrick McArdle
Braxton D Mitchell
Huichun Xu
Caspar Grond-Ginsbach
The copy number variation and stroke (CaNVAS) risk and outcome study.
description <h4>Background and purpose</h4>The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap.<h4>Methods</h4>Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and exome arrays, with case measures of stroke outcome. To evaluate CNV-associated stroke risk and stroke outcome it is planned to: 1) perform Risk Discovery using several analytic approaches to identify CNVs that are associated with the risk of IS and its subtypes, across the age-, sex- and ethnicity-spectrums; 2) perform Risk Replication and Extension to determine whether the identified stroke-associated CNVs replicate in other ethnically diverse datasets and use biomarker data (e.g. methylation, proteomic, RNA, miRNA, etc.) to evaluate how the identified CNVs exert their effects on stroke risk, and lastly; 3) perform outcome-based Replication and Extension analyses of recent findings demonstrating an inverse relationship between CNV burden and stroke outcome at 3 months (mRS), and then determine the key CNV drivers responsible for these associations using existing biomarker data.<h4>Results</h4>The results of an initial CNV evaluation of 50 samples from each participating dataset are presented demonstrating that the existing GWAS and exome chip data are excellent for the planned CNV analyses. Further, some samples will require additional considerations for analysis, however such samples can readily be identified, as demonstrated by a sample demonstrating clonal mosaicism.<h4>Conclusion</h4>The CaNVAS study will cost-effectively leverage the numerous advantages of using existing case-control data sets, exploring the relationships between CNV and IS and its subtypes, and outcome at 3 months, in both men and women, in those of African and European-Caucasian descent, this, across the entire adult-age spectrum.
format article
author John W Cole
Taiwo Adigun
Rufus Akinyemi
Onoja Matthew Akpa
Steven Bell
Bowang Chen
Jordi Jimenez Conde
Uxue Lazcano Dobao
Israel Fernandez
Myriam Fornage
Cristina Gallego-Fabrega
Christina Jern
Michael Krawczak
Arne Lindgren
Hugh S Markus
Olle Melander
Mayowa Owolabi
Kristina Schlicht
Martin Söderholm
Vinodh Srinivasasainagendra
Carolina Soriano Tárraga
Martin Stenman
Hemant Tiwari
Margaret Corasaniti
Natalie Fecteau
Beth Guizzardi
Haley Lopez
Kevin Nguyen
Brady Gaynor
Timothy O'Connor
O Colin Stine
Steven J Kittner
Patrick McArdle
Braxton D Mitchell
Huichun Xu
Caspar Grond-Ginsbach
author_facet John W Cole
Taiwo Adigun
Rufus Akinyemi
Onoja Matthew Akpa
Steven Bell
Bowang Chen
Jordi Jimenez Conde
Uxue Lazcano Dobao
Israel Fernandez
Myriam Fornage
Cristina Gallego-Fabrega
Christina Jern
Michael Krawczak
Arne Lindgren
Hugh S Markus
Olle Melander
Mayowa Owolabi
Kristina Schlicht
Martin Söderholm
Vinodh Srinivasasainagendra
Carolina Soriano Tárraga
Martin Stenman
Hemant Tiwari
Margaret Corasaniti
Natalie Fecteau
Beth Guizzardi
Haley Lopez
Kevin Nguyen
Brady Gaynor
Timothy O'Connor
O Colin Stine
Steven J Kittner
Patrick McArdle
Braxton D Mitchell
Huichun Xu
Caspar Grond-Ginsbach
author_sort John W Cole
title The copy number variation and stroke (CaNVAS) risk and outcome study.
title_short The copy number variation and stroke (CaNVAS) risk and outcome study.
title_full The copy number variation and stroke (CaNVAS) risk and outcome study.
title_fullStr The copy number variation and stroke (CaNVAS) risk and outcome study.
title_full_unstemmed The copy number variation and stroke (CaNVAS) risk and outcome study.
title_sort copy number variation and stroke (canvas) risk and outcome study.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/048e7ee362064d80abc4e0480d4c47ac
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