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Heritability Estimates Identify a Substantial Genetic Contribution to Risk and Outcome of Intracerebral Hemorrhage
Author(s) -
William J. Devan,
Guido J. Falcone,
Christopher D. Anderson,
Jeremiasz Jagiełła,
Helena Schmidt,
Björn M. Hansen,
Jordi JiménezConde,
Eva GiraltSteinhauer,
Elisa CuadradoGodia,
Carolina SorianoTárraga,
Alison Ayres,
Kristin Schwab,
Sylvia Baedorf Kassis,
Valerie Valant,
Joanna Pera,
Andrzej Urbanik,
Anand Viswanathan,
Natalia S. Rost,
Joshua N. Goldstein,
Paul Freudenberger,
Eva-Maria Stögerer,
Bo Norrving,
David Tirschwell,
Magdy Selim,
Devin L. Brown,
Scott Silliman,
Bradford B. Worrall,
James F. Meschia,
Chelsea S. Kidwell,
Joan Montaner,
Israel FernándezCadenas,
Pilar Delgado,
Steven M. Greenberg,
Jaume Roquer,
Arne Lindgren,
Agnieszka Słowik,
Reinhold Schmidt,
Daniel Woo,
Jonathan Rosand,
Alessandro Biffi
Publication year - 2013
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.111.000089
Subject(s) - medicine , intracerebral hemorrhage , heritability , stroke (engine) , subarachnoid hemorrhage , genetics , mechanical engineering , engineering , biology
Previous studies suggest that genetic variation plays a substantial role in occurrence and evolution of intracerebral hemorrhage (ICH). Genetic contribution to disease can be determined by calculating heritability using family-based data, but such an approach is impractical for ICH because of lack of large pedigree-based studies. However, a novel analytic tool based on genome-wide data allows heritability estimation from unrelated subjects. We sought to apply this method to provide heritability estimates for ICH risk, severity, and outcome.

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