Title: Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes
Authors: Meschia, James F ×
Arnett, Donna K
Ay, Hakan
Brown, Robert D
Benavente, Oscar R
Cole, John W
de Bakker, Paul I W
Dichgans, Martin
Doheny, Kimberly F
Fornage, Myriam
Grewal, Raji P
Gwinn, Katrina
Jern, Christina
Conde, Jordi Jimenez
Johnson, Julie A
Jood, Katarina
Laurie, Cathy C
Lee, Jin-Moo
Lindgren, Arne
Markus, Hugh S
McArdle, Patrick F
McClure, Leslie A
Mitchell, Braxton D
Schmidt, Reinhold
Rexrode, Kathryn M
Rich, Stephen S
Rosand, Jonathan
Rothwell, Peter M
Rundek, Tatjana
Sacco, Ralph L
Sharma, Pankaj
Shuldiner, Alan R
Slowik, Agnieszka
Wassertheil-Smoller, Sylvia
Sudlow, Cathie
Thijs, Vincent
Woo, Daniel
Worrall, Bradford B
Wu, Ona
Kittner, Steven J
NINDS SiGN Study #
Issue Date: Oct-2013
Publisher: Lippincott Williams & Wilkins
Series Title: Stroke vol:44 issue:10 pages:2694-702
Article number: 10.1161/STROKEAHA.113.001857
Abstract: Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke.
ISSN: 0039-2499
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory for Neurobiology (VIB-KU Leuven Center for Brain & Disease Research)
× corresponding author
# (joint) last author

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