BACKGROUND: Recent studies have described genetic mutations that affect the risk of thrombosis as a result of abnormal levels of such hemostatic parameters as protein C, protein S, and the activated protein C resistance ratio. Although these mutations suggest that genes play a part in determining variability in some hemostasis-related phenotypes, the relative importance of genetic influences on these traits has not been evaluated. METHODS AND RESULTS: The relative contributions of genetic and environmental influences to a panel of hemostasis-related phenotypes were assessed in a sample of 397 individuals in 21 extended pedigrees. The effects of measured covariates (sex, age, smoking, and exogenous sex hormones), genes, and environmental variables shared by members of a household were quantified for 27 hemostasis-related measures. All of these phenotypes showed significant genetic contributions, with the majority of heritabilities ranging between 22% and 55% of the residual phenotypic variance after correction for covariate effects. Activated protein C resistance ratio, activated partial thromboplastin time, and Factor XII showed the strongest heritabilities, with 71.3%, 83.0%, and 67.3%, respectively, of the residual phenotypic variation attributable to genetic effects. CONCLUSIONS: These results clearly demonstrate the importance of genetic factors in determining variation in hemostasis-related phenotypes that are components of the coagulation and fibrinolysis pathways and that have been implicated in risk for thrombosis. The presence of such strong genetic effects suggests that it will be possible to localize previously unknown genes that influence quantitative variation in these hemostasis-related phenotypes that may contribute to risk for thrombosis.
BACKGROUND: Recent studies have described genetic mutations that affect the risk of thrombosis as a result of abnormal levels of such hemostatic parameters as protein C, protein S, and the activated protein C resistance ratio. Although these mutations suggest that genes play a part in determining variability in some hemostasis-related phenotypes, the relative importance of genetic influences on these traits has not been evaluated. METHODS AND RESULTS: The relative contributions of genetic and environmental influences to a panel of hemostasis-related phenotypes were assessed in a sample of 397 individuals in 21 extended pedigrees. The effects of measured covariates (sex, age, smoking, and exogenous sex hormones), genes, and environmental variables shared by members of a household were quantified for 27 hemostasis-related measures. All of these phenotypes showed significant genetic contributions, with the majority of heritabilities ranging between 22% and 55% of the residual phenotypic variance after correction for covariate effects. Activated protein C resistance ratio, activated partial thromboplastin time, and Factor XII showed the strongest heritabilities, with 71.3%, 83.0%, and 67.3%, respectively, of the residual phenotypic variation attributable to genetic effects. CONCLUSIONS: These results clearly demonstrate the importance of genetic factors in determining variation in hemostasis-related phenotypes that are components of the coagulation and fibrinolysis pathways and that have been implicated in risk for thrombosis. The presence of such strong genetic effects suggests that it will be possible to localize previously unknown genes that influence quantitative variation in these hemostasis-related phenotypes that may contribute to risk for thrombosis.
Authors: Weihong Tang; Christine Schwienbacher; Lorna M Lopez; Yoav Ben-Shlomo; Tiphaine Oudot-Mellakh; Andrew D Johnson; Nilesh J Samani; Saonli Basu; Martin Gögele; Gail Davies; Gordon D O Lowe; David-Alexandre Tregouet; Adrian Tan; James S Pankow; Albert Tenesa; Daniel Levy; Claudia B Volpato; Ann Rumley; Alan J Gow; Cosetta Minelli; John W G Yarnell; David J Porteous; John M Starr; John Gallacher; Eric Boerwinkle; Peter M Visscher; Peter P Pramstaller; Mary Cushman; Valur Emilsson; Andrew S Plump; Nena Matijevic; Pierre-Emmanuel Morange; Ian J Deary; Andrew A Hicks; Aaron R Folsom Journal: Am J Hum Genet Date: 2012-06-14 Impact factor: 11.025
Authors: Weihong Tang; Saonli Basu; Xiaoxiao Kong; James S Pankow; Nena Aleksic; Adrian Tan; Mary Cushman; Eric Boerwinkle; Aaron R Folsom Journal: Blood Date: 2010-08-27 Impact factor: 22.113
Authors: Lorna M Houlihan; Gail Davies; Albert Tenesa; Sarah E Harris; Michelle Luciano; Alan J Gow; Kevin A McGhee; David C Liewald; David J Porteous; John M Starr; Gordon D Lowe; Peter M Visscher; Ian J Deary Journal: Am J Hum Genet Date: 2010-03-18 Impact factor: 11.025
Authors: Kevin R Viel; Deepa K Machiah; Diane M Warren; Manana Khachidze; Alfonso Buil; Karl Fernstrom; Juan C Souto; Juan M Peralta; Todd Smith; John Blangero; Sandra Porter; Stephen T Warren; Jordi Fontcuberta; Jose M Soria; W Dana Flanders; Laura Almasy; Tom E Howard Journal: Blood Date: 2007-01-05 Impact factor: 22.113
Authors: José Manuel Soria; Laura Almasy; Juan Carlos Souto; Delphine Bacq; Alfonso Buil; Alexandra Faure; Elisabeth Martínez-Marchán; José Mateo; Montserrat Borrell; William Stone; Mark Lathrop; Jordi Fontcuberta; John Blangero Journal: Am J Hum Genet Date: 2002-01-22 Impact factor: 11.025
Authors: C Y Vossen; B P Koeleman; S J Hasstedt; I J Nijman; I J Renkens; P W Callas; F R Rosendaal; E G Bovill Journal: J Thromb Haemost Date: 2013-04 Impact factor: 5.824
Authors: Sonia López; Alfonso Buil; Jordi Ordoñez; Juan Carlos Souto; Laura Almasy; Mark Lathrop; John Blangero; Francisco Blanco-Vaca; Jordi Fontcuberta; José Manuel Soria Journal: Eur J Hum Genet Date: 2008-06-18 Impact factor: 4.246
Authors: Maria Sabater-Lleal; Alfonso Buil; Juan Carlos Souto; Laura Alamsy; Montserrat Borrell; Mark Lathrop; John Blangero; Jordi Fontcuberta; José Manuel Soria Journal: Hum Genet Date: 2008-06-18 Impact factor: 4.132
Authors: Maria Sabater-Lleal; Miguel Chillón; Carolina Mordillo; Angel Martínez; Estel Gil; José Mateo; John Blangero; Laura Almasy; Jordi Fontcuberta; José Manuel Soria Journal: Thromb Res Date: 2009-09-27 Impact factor: 3.944