Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 2009;40:S56
Published online before print December 8, 2008, doi: 10.1161/STROKEAHA.108.534941
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
40/3_suppl_1/S56    most recent
STROKEAHA.108.534941v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Furie, K.
Right arrow Articles by Gwinn, K.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Furie, K.
Right arrow Articles by Gwinn, K.
Related Collections
Right arrow Other Stroke Treatment - Medical

(Stroke. 2009;40:S56.)
© 2009 American Heart Association, Inc.


Prevention 1: Genetics

Introduction to Genetics

Karen Furie, MD Katrina Gwinn, MD, Session Chairs

From the Massachusetts General Hospital and Harvard Medical School (K.F.), Boston, Mass; and Baylor College of Medicine (K.G.), Houston, Tex.

Correspondence to Karen Furie, MD, Director, MGH Stroke Service, J. Philip Kistler MGH Stroke Research Center, 175 Cambridge St, Suite 300, Boston, MA 02114. E-mail kfurie@partners.org.


Key Words: genetics


An extract of the first 100% of the full text is provided, because this article has no abstract.
 

Genetic contributions to stroke range from classic Mendelian (a single gene leads to disease) to complex (multiple genes contribute to risk for disease in combination with other genetic and/or environmental factors). In addition to traditional candidate gene and linkage approaches to defining the genetic causes of stroke, technological advances in genotyping and the development of bioinformatics solutions for managing large-scale genetic and phenotypic datasets have made it feasible to perform genomewide association studies. Genomewide association studies are discovery-based and make no a priori assumptions about mechanism. Genomewide association studies permit detection of genetic variants that only modestly contribute to disease susceptibility. Clearly defined phenotypic criteria, standardized data collection, and rigorous data management are essential to gene discovery in stroke. Large sample size requirements will require collaborative research. It is hoped that in the future, identification of genetic factors will allow development of tools for the early detection and treatment of stroke.