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(Stroke. 1996;27:833-837.)
© 1996 American Heart Association, Inc.


Articles

Genetic Basis of Variation in Carotid Artery Wall Thickness

Ravindranath Duggirala, PhD; Clicerio González Villalpando, MD; Daniel H. O'Leary, MD; Michael P. Stern, MD John Blangero, PhD

From the Division of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center at San Antonio (R.D., M.P.S.), and the Department of Genetics, Southwest Foundation for Biomedical Research (J.B.), San Antonio, Tex; the Centro de Estudios en Diabetes, The American British Cowdray Hospital, Unidad de Investigación Médica en Enfermedades Metabólicas, Hospital "Bernardo Sepulveda" Centro Medico Nacional, and Instituto Mexicano del Seguro Social, Mexico City, Mexico (C.G.V.); and the Department of Radiology, New England Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.O'L.).

Correspondence to Ravindranath Duggirala, PhD, Division of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Dr, San Antonio, TX 78284-7873. E-mail ravi@gauss.uthscsa.edu.

Background and Purpose Other than the documented associations of risk factors and carotid artery wall thickness, the genetic basis of variation in carotid artery intimal-medial thickness (IMT) is unknown. The purpose of this study was to examine the extent to which variation in common carotid artery (CCA) IMT and internal carotid artery (ICA) IMT are under genetic control.

Methods The sibship data used for this analysis were part of an epidemiological survey in Mexico City. The CCA and ICA analyses were based on 46 and 44 sibships of various sizes, respectively. The CCA and ICA IMTs were measured with carotid ultrasonography. Using a robust variance decomposition method, we performed genetic analyses of CCA IMT and ICA IMT measurements with models incorporating several cardiovascular risk factors (eg, lipids, diabetes, blood pressure, and smoking) as covariates.

Results After accounting for the effects of covariates, we detected high heritabilities for CCA IMT (h2=0.92±0.05, P=.001) and ICA IMT (h2=0.86±0.13, P=.029). Genes accounted for 66.0% of the total variation in CCA IMT, whereas 27.7% of variation was attributable to covariates. For ICA IMT, genes explained a high proportion (74.9%) of total phenotypic variation. The covariates accounted for 11.5% of variation in ICA IMT.

Conclusions Our results suggest that substantial proportions of phenotypic variance in CCA IMT and ICA IMT are attributable to shared genetic factors.


Key Words: carotid arteries • genetics • ultrasonics




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