Parental consanguinity and family history of coronary artery disease strongly predict early stenosis

• Published in: Atherosclerosis Vol. 212; no. 2; pp. 559 - 563
• Main Authors: Youhanna, Sonia, Platt, Daniel E, Rebeiz, Abdallah, Lauridsen, Michael, Deeb, Mary E, Nasrallah, Antoine, Alam, Samir, Puzantian, Houry, Kabbani, Samer, Ghoul, Melanie, Zreik, Tony G, el Bayeh, Hamid, Abchee, Antoine, Zalloua, Pierre
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ireland Ltd 01-10-2010; Elsevier
• Subjects: Aged; Atherosclerosis; Atherosclerosis (general aspects, experimental research); Biological and medical sciences; Blood and lymphatic vessels; CAD; Cardiology. Vascular system; Cardiovascular; Case-Control Studies; Consanguinity; Constriction, Pathologic - diagnosis; Constriction, Pathologic - etiology; Constriction, Pathologic - genetics; Coronary Artery Disease - diagnosis; Coronary Artery Disease - etiology; Coronary Artery Disease - genetics; Coronary heart disease; Family Health; Family History; Female; Heart; Humans; Male; Medical sciences; Middle Aged; Regression Analysis; Risk Factors; Stenosis; Stenosis; Consanguinity; Family History; CAD; Atherosclerosis; Vascular disease; Cardiovascular disease; Coronary heart disease
• ISSN: 0021-9150; 1879-1484
• DOI: 10.1016/j.atherosclerosis.2010.07.013

Abstract Background Coronary artery disease (CAD) is a multifactorial disease with acquired and inherited components. Aim We investigated the roles of family history and consanguinity on CAD risk and age at diagnosis in 4284 patients. The compounded impact of diabetes, hyperlipidemia, hypertension, smoking, and BMI, which are known CAD risk factors, on CAD risk and age at diagnosis was also explored. Methods CAD was determined by cardiac catheterization. Logistic regression and stratification were performed to determine the impact of family history and consanguinity on risk and onset of CAD, controlling for diabetes, hyperlipidemia, hypertension, smoking, and BMI. Results Family history of CAD and gender significantly increased the risk for young age at diagnosis of CAD ( p < 0.001). Consanguinity did not promote risk of CAD ( p = 0.38), but did affect age of disease diagnosis ( p < 0.001). The mean age at disease diagnosis was lowest, 54.8 years, when both family history of CAD and consanguinity were considered as unique risk factors for CAD, compared to 62.8 years for the no-risk-factor patient category ( p < 0.001). Conclusions Family history of CAD and smoking are strongly associated with young age at diagnosis. Furthermore, parental consanguinity in the presence of family history lowers the age of disease diagnosis significantly for CAD, emphasizing the role of strong genetic and cultural CAD modifiers. These findings highlight the increased role of genetic determinants of CAD in some population subgroups, and suggest that populations and family structure influence genetic heterogeneity between patients with CAD.