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Familial Intracranial AneurysmsAn Analysis of 346 Multiplex Finnish Families

 

作者: Shannon Wills,   Antti Ronkainen,   Monique van der Voet,   Helena Kuivaniemi,   Katariina Helin,   Eira Leinonen,   Juhana Frösen,   Mika Niemelä,   Juha Jääskeläinen,   Juha Hernesniemi,   Gerard Tromp,  

 

期刊: Stroke: Journal of the American Heart Association  (OVID Available online 2003)
卷期: Volume 34, issue 6  

页码: 1370-1374

 

ISSN:0039-2499

 

年代: 2003

 

出版商: OVID

 

关键词: genetics;pedigree;risk factors;stroke;subarachnoid hemorrhage

 

数据来源: OVID

 

摘要:

Background and Purpose—Genetic risk factors are considered important in the development, growth, and rupture of intracranial aneurysms; however, few have been identified. We analyzed intracranial aneurysm families with at least 2 affected persons and determined relationships between affected persons and assessed the inheritance patterns of aneurysms.Methods—Families with ≥2 members with verified diagnoses of intracranial aneurysms were recruited from Kuopio and Helsinki, Finland. Families with a diagnosis of other heritable disorders that have associated intracranial aneurysms, such as autosomal dominant polycystic kidney disease, were excluded.Results—We identified 346 Finnish multiplex families with 160 (46.2%) male and 186 (53.8%) female index cases. There were a total of 937 aneurysm cases, with an average of 2.7 cases per family. The majority of the families had only 2 affected relatives (n=206; 59.5%), although there were families with up to 6 (n=10), 7 (n=1), 8 (n=1), or 10 (n=2) affected persons. The affected relatives of the index cases included 108 sisters, 116 brothers, 105 parents, 30 children, 15 grandparents, 102 aunts or uncles, and 64 cousins. Of the 937 affected persons, 569 (60.7%) were alive and available for genetic analysis. Inheritance patterns consistent with autosomal recessiveness were observed in 198 (57.2%), autosomal dominance in 126 (36.4%), and autosomal dominance with incomplete penetrance in 19 (5.5%) of the families.Conclusions—The collection is the most extensive published to date and extends previous observations of familial aggregation that are consistent with a major gene effect.

 

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