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.
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: Frederick Albright; Kathleen Light; Alan Light; Lucinda Bateman; Lisa A Cannon-Albright Journal: BMC Neurol Date: 2011-05-27 Impact factor: 2.474
Authors: Tiia M Luukkonen; Minna Pöyhönen; Aarno Palotie; Pekka Ellonen; Sonja Lagström; Joseph H Lee; Joseph D Terwilliger; Riitta Salonen; Teppo Varilo Journal: J Med Genet Date: 2012-10 Impact factor: 6.318
Authors: Katsuhito Yasuno; Kaya Bilguvar; Philippe Bijlenga; Siew-Kee Low; Boris Krischek; Georg Auburger; Matthias Simon; Dietmar Krex; Zulfikar Arlier; Nikhil Nayak; Ynte M Ruigrok; Mika Niemelä; Atsushi Tajima; Mikael von und zu Fraunberg; Tamás Dóczi; Florentina Wirjatijasa; Akira Hata; Jordi Blasco; Agi Oszvald; Hidetoshi Kasuya; Gulam Zilani; Beate Schoch; Pankaj Singh; Carsten Stüer; Roelof Risselada; Jürgen Beck; Teresa Sola; Filomena Ricciardi; Arpo Aromaa; Thomas Illig; Stefan Schreiber; Cornelia M van Duijn; Leonard H van den Berg; Claire Perret; Carole Proust; Constantin Roder; Ali K Ozturk; Emília Gaál; Daniela Berg; Christof Geisen; Christoph M Friedrich; Paul Summers; Alejandro F Frangi; Matthew W State; H Erich Wichmann; Monique M B Breteler; Cisca Wijmenga; Shrikant Mane; Leena Peltonen; Vivas Elio; Miriam C J M Sturkenboom; Patricia Lawford; James Byrne; Juan Macho; Erol I Sandalcioglu; Bernhard Meyer; Andreas Raabe; Helmuth Steinmetz; Daniel Rüfenacht; Juha E Jääskeläinen; Juha Hernesniemi; Gabriel J E Rinkel; Hitoshi Zembutsu; Ituro Inoue; Aarno Palotie; François Cambien; Yusuke Nakamura; Richard P Lifton; Murat Günel Journal: Nat Genet Date: 2010-04-04 Impact factor: 38.330
Authors: David P Taylor; Randall W Burt; Marc S Williams; Peter J Haug; Lisa A Cannon-Albright Journal: Gastroenterology Date: 2009-12-21 Impact factor: 22.682