Document Detail


A genealogical assessment of heritable predisposition to aneurysms.
MedLine Citation:
PMID:  14567597     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECT: This study was conducted to investigate the familial and genetic contribution to intracranial, abdominal aortic, and all other types of aneurysms, and to define familial relationships among patients who present with the different aneurysm types. METHODS: The authors used a unique Utah resource to perform population-based analysis of the familial nature of aneurysms. The Utah Population Data Base is a genealogy of the Utah population dating back eight generations, which is combined with death certificate data for the state of Utah dating back to 1904. Taking into account the genetic relationships among all aneurysm cases derived from this resource, the authors used a previously published method to estimate the familiality of different aneurysm types. Using internal, birth-cohort-specific rates of disease calculated from the database, they estimated relative risks by comparing observed to expected rates of aneurysm incidence in defined sets of relatives of probands. CONCLUSIONS: Each of the three aneurysm types investigated showed significant evidence for a genetic component. Relatives of patients with intracranial aneurysms do not appear to be at increased risk for abdominal or other lesions, but relatives of patients with abdominal aortic aneurysms appear to be at increased risk for other types of these lesions.
Authors:
Lisa A Cannon Albright; Nicola J Camp; James M Farnham; Joel MacDonald; Keyvan Abtin; Kerry G Rowe
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of neurosurgery     Volume:  99     ISSN:  0022-3085     ISO Abbreviation:  J. Neurosurg.     Publication Date:  2003 Oct 
Date Detail:
Created Date:  2003-10-21     Completed Date:  2003-11-17     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0253357     Medline TA:  J Neurosurg     Country:  United States    
Other Details:
Languages:  eng     Pagination:  637-43     Citation Subset:  AIM; IM    
Affiliation:
Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA. lisa@genepi.med.utah.edu
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MeSH Terms
Descriptor/Qualifier:
Aged
Aortic Aneurysm / diagnosis,  genetics*
Aortic Aneurysm, Abdominal / diagnosis,  genetics*
Female
Genetic Predisposition to Disease
Humans
International Classification of Diseases
Intracranial Aneurysm / diagnosis,  genetics*
Male
Middle Aged
Pedigree
Risk Factors
Grant Support
ID/Acronym/Agency:
R01 NS37737/NS/NINDS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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