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Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes.

Journal article
Authors James F Meschia
Donna K Arnett
Hakan Ay
Robert D Brown
Oscar R Benavente
John W Cole
Paul I W de Bakker
Martin Dichgans
Kimberly F Doheny
Myriam Fornage
Raji P Grewal
Katrina Gwinn
Christina Jern
Jordi Jimenez Conde
Julie A Johnson
Katarina Jood
Cathy C Laurie
Jin-Moo Lee
Arne Lindgren
Hugh S Markus
Patrick F McArdle
Leslie A McClure
Braxton D Mitchell
Reinhold Schmidt
Kathryn M Rexrode
Stephen S Rich
Jonathan Rosand
Peter M Rothwell
Tatjana Rundek
Ralph L Sacco
Pankaj Sharma
Alan R Shuldiner
Agnieszka Slowik
Sylvia Wassertheil-Smoller
Cathie Sudlow
Vincent N S Thijs
Daniel Woo
Bradford B Worrall
Ona Wu
Steven J Kittner
Published in Stroke; a journal of cerebral circulation
Volume 44
Issue 10
Pages 2694-702
ISSN 1524-4628
Publication year 2013
Published at Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation
Pages 2694-702
Language en
Links dx.doi.org/10.1161/STROKEAHA.113.00...
Keywords cerebral infarct, genetics, genomics
Subject categories Clinical Medicine

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.

Page Manager: Webmaster|Last update: 9/11/2012
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