International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery
Lindgren, Arne G. (Skåne University Hospital (Suècia))
Braun, Robynne G. (Department of Neurology, University of Maryland)
Juhl Majersik, Jennifer (Department of Neurology, University of Utah)
Clatworthy, Philip (North Bristol NHS Trust)
Mainali, Shraddha (The Ohio State University)
Derdeyn, Colin P. (University of Iowa)
Maguire, Jane (University of Technology Sydney)
Jern, Christina (Sahlgrenska University Hospital (Suècia))
Rosand, Jonathan (Massachusetts General Hospital (Boston))
Cole, John W. (University of Maryland School of Medicine)
Lee, Jin-Moo (Washington University School of Medicine, St. Louis)
Khatri, Pooja (University of Cincinnati)
Nyquist, Paul (Johns Hopkins School of Medicine, Baltimore)
Debette, Stéphanie (Bordeaux University Hospital (França))
Keat Wei, Loo (Universiti Tunku Abdul Rahman, Perak)
Rundek, Tatjana (University of Miami. Miller School of Medicine)
Leifer, Dana (Weill Cornell Medicine, New York)
Thijs, Vincent (Florey Institute of Neuroscience and Mental Health, Melbourne)
Lemmens, Robin (University Hospitals Leuven (Bèlgica))
Heitsch, Laura (Washington University School of Medicine)
Prasad, Kameshwar (Rajendra Institute of Medical Sciences)
Jimenez-Conde, Jordi (Hospital del Mar (Barcelona, Catalunya))
Dichgans, Martin (Institute for Stroke and Dementia Research (Munic, Alemanya))
Rost, Natalia S. (Massachusetts General Hospital (Boston))
Cramer, Steven C. (California Rehabilitation Institute)
Bernhardt, Julie (Florey Institute of Neuroscience and Mental Health (Melbourne, Austràlia))
Worrall, Bradford B. (University of Virginia)
Fernandez-Cadenas, Israel (Institut d'Investigació Biomèdica Sant Pau)
Universitat Autònoma de Barcelona

Fecha:	2021
Resumen:	Numerous biological mechanisms contribute to outcome after stroke, including brain injury, inflammation, and repair mechanisms. Clinical genetic studies have the potential to discover biological mechanisms affecting stroke recovery in humans and identify intervention targets. Large sample sizes are needed to detect commonly occurring genetic variations related to stroke brain injury and recovery. However, this usually requires combining data from multiple studies where consistent terminology, methodology, and data collection timelines are essential. Our group of expert stroke and rehabilitation clinicians and researchers with knowledge in genetics of stroke recovery here present recommendations for harmonizing phenotype data with focus on measures suitable for multicenter genetic studies of ischemic stroke brain injury and recovery. Our recommendations have been endorsed by the International Stroke Genetics Consortium.
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Data collection ; Genetics ; Ischemic stroke ; Outcome ; Phenotype ; Recovery ; Standardization
Publicado en:	International Journal of Stroke, Vol. 17 (april 2021) , p. 260-268, ISSN 1747-4949

DOI: 10.1177/17474930211007288
PMID: 33739214

9 p, 990.5 KB

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