The copy number variation and stroke (CaNVAS) risk and outcome study
Author
Cole, John W.Adigun, Taiwo
Akinyemi, Rufus
Akpa, Onoja Matthew
Bell, Steven
Chen, Bowang
Jimenez Conde, Jordi
Lazcano Dobao, Uxue
Fernandez, Israel
Fornage, Myriam
Gallego-Fabrega, Cristina
Jern, Christina
Krawczak, Michael
Lindgren, Arne
Markus, Hugh S.
Melander, Olle
Owolabi, Mayowa
Schlicht, Kristina
Söderholm, Martin
Srinivasasainagendra, Vinodh
Soriano Tárraga, Carolina
Stenman, Martin
Tiwari, Hemant
Corasaniti, Margaret
Fecteau, Natalie
Guizzardi, Beth
Lopez, Haley
Nguyen, Kevin
Gaynor, Brady
O’Connor, Timothy
Stine, O. Colin
Kittner, Steven J.
McArdle, Patrick
Mitchell, Braxton D.
Xu, Huichun
Grond-Ginsbach, Caspar
Date
2021-04-19Journal
PLoS ONEPublisher
Public Library of ScienceType
Article
Metadata
Show full item recordAbstract
Background and purpose 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. Methods 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. Results 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. Conclusion 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.Sponsors
National Institute of Neurological Disorders and StrokeKeyword
Copy Number Variation and Stroke (CaNVAS) Risk and Outcome studyDNA Copy Number Variations
Ischemic Stroke--genetics
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http://hdl.handle.net/10713/15440ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0248791
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Except where otherwise noted, this item's license is described as https://creativecommons.org/publicdomain/zero/1.0/
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