International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery | Zendy

Arne Lindgren | Zendy; Robynne Braun | Zendy; Jennifer J. Majersik | Zendy; Philip Clatworthy | Zendy; Shraddha Mainali | Zendy; Colin P. Derdeyn | Zendy; Jane Maguire | Zendy; Christina Jern | Zendy; Jonathan Rosand | Zendy; John W. Cole | Zendy; JinMoo Lee | Zendy; Pooja Khatri | Zendy; Paul Nyquist | Zendy; Stéphanie Debette | Zendy; Loo Keat Wei | Zendy; Tatjana Rundek | Zendy; Dana Leifer | Zendy; Vincent Thijs | Zendy; Robin Lemmens | Zendy; Laura Heitsch | Zendy; Kameshwar Prasad | Zendy; Jordi Jiménez Conde | Zendy; Martin Dichgans | Zendy; Natalia S. Rost | Zendy; Steven C. Cramer | Zendy; Julie Bernhardt | Zendy; Bradford B. Worrall | Zendy; Israel FernándezCadenas | Zendy

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International stroke genetics consortium recommendations for studies of genetics of stroke outcome and recovery

Author(s) -

Arne Lindgren,

Robynne Braun,

Jennifer J. Majersik,

Philip Clatworthy,

Shraddha Mainali,

Colin P. Derdeyn,

Jane Maguire,

Christina Jern,

Jonathan Rosand,

John W. Cole,

JinMoo Lee,

Pooja Khatri,

Paul Nyquist,

Stéphanie Debette,

Loo Keat Wei,

Tatjana Rundek,

Dana Leifer,

Vincent Thijs,

Robin Lemmens,

Laura Heitsch,

Kameshwar Prasad,

Jordi Jiménez Conde,

Martin Dichgans,

Natalia S. Rost,

Steven C. Cramer,

Julie Bernhardt,

Bradford B. Worrall,

Israel FernándezCadenas

Publication year - 2021

Publication title -

international journal of stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.375

H-Index - 74

eISSN - 1747-4949

pISSN - 1747-4930

DOI - 10.1177/17474930211007288

Subject(s) - medicine , stroke (engine) , stroke recovery , rehabilitation , physical medicine and rehabilitation , bioinformatics , physical therapy , biology , mechanical engineering , engineering

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.

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