| Literature DB >> 33739214 |
Arne G Lindgren1,2, Robynne G Braun3, Jennifer Juhl Majersik4, Philip Clatworthy5, Shraddha Mainali6, Colin P Derdeyn7, Jane Maguire8, Christina Jern9,10, Jonathan Rosand11, John W Cole12,13, Jin-Moo Lee14, Pooja Khatri15, Paul Nyquist16, Stéphanie Debette17,18, Loo Keat Wei19, Tatjana Rundek20, Dana Leifer21, Vincent Thijs22, Robin Lemmens23,24, Laura Heitsch14, Kameshwar Prasad25, Jordi Jimenez Conde26,27, Martin Dichgans28, Natalia S Rost11, Steven C Cramer29,30, Julie Bernhardt22, Bradford B Worrall31, Israel Fernandez-Cadenas32.
Abstract
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.Entities:
Keywords: Data collection; genetics; ischemic stroke; outcome; phenotype; recovery; standardization
Mesh：
Year: 2021 PMID： 33739214 PMCID： PMC8864333 DOI： 10.1177/17474930211007288
Source DB: PubMed Journal: Int J Stroke ISSN： 1747-4930 Impact factor: 5.266