Combined Effects of Thrombosis Pathway Gene Variants Predict Cardiovascular Events

The genetic background of complex diseases is proposed to consist of several low-penetrance risk loci. Addressing this complexity likely requires both large sample size and simultaneous analysis of different predisposing variants. We investigated the role of four thrombosis genes: coagulation factor V (F5), intercellular adhesion molecule 1 (ICAM1), protein C (PROC), and thrombomodulin (THBD) in cardiovascular diseases. Single allelic gene variants and their pair-wise combinations were analyzed in two independently sampled population cohorts from Finland. From among 14,140 FINRISK participants (FINRISK-92, n = 5,999 and FINRISK-97, n = 8,141), we selected for genotyping a sample of 2,222, including 528 incident cardiovascular disease (CVD) cases and random subcohorts totaling 786. To cover all known common haplotypes (>10%), 54 single nucleotide polymorphisms (SNPs) were genotyped. Classification-tree analysis identified 11 SNPs that were further analyzed in Cox's proportional hazard model as single variants and pair-wise combinations. Multiple testing was controlled by use of two independent cohorts and with false-discovery rate. Several CVD risk variants were identified: In women, the combination of F5 rs7542281 × THBD rs1042580, together with three single F5 SNPs, was associated with CVD events. Among men, PROC rs1041296, when combined with either ICAM1 rs5030341 or F5 rs2269648, was associated with total mortality. As a single variant, PROC rs1401296, together with the F5 Leiden mutation, was associated with ischemic stroke events. Our strategy to combine the classification-tree analysis with more traditional genetic models was successful in identifying SNPs—acting either in combination or as single variants—predisposing to CVD, and produced consistent results in two independent cohorts. These results suggest that variants in these four thrombosis genes contribute to arterial cardiovascular events at population level.

[1]  S E Humphries,et al.  Genetic determinants of arterial thrombosis. , 1994, Bailliere's best practice & research. Clinical haematology.

[2]  L. Peltonen,et al.  Risk Alleles of USF1 Gene Predict Cardiovascular Disease of Women in Two Prospective Studies , 2006, PLoS genetics.

[3]  Juliet M Chapman,et al.  No evidence of association or interaction between the IL4RA, IL4, and IL13 genes in type 1 diabetes. , 2005, American journal of human genetics.

[4]  E. Boerwinkle,et al.  Thrombomodulin Ala455Val Polymorphism and Risk of Coronary Heart Disease , 2001, Circulation.

[5]  S. Ghaffari,et al.  Protein C deficiency manifesting as an acute myocardial infarction and ischaemic stroke , 2003, Heart.

[6]  L. Peltonen,et al.  Thrombomodulin Gene Polymorphisms and Haplotypes and the Risk of Cardiovascular Events: A Prospective Follow-Up Study , 2006, Arteriosclerosis, thrombosis, and vascular biology.

[7]  V. Salomaa,et al.  Soluble thrombomodulin as a predictor of incident coronary heart disease and symptomless carotid artery atheroscierosis in the Atherosclerosis Risk in Communities (ARIC) Study: a case-cohort study , 1999, The Lancet.

[8]  H. Vos Inherited defects of coagulation Factor V: the thrombotic side , 2006, Journal of thrombosis and haemostasis : JTH.

[9]  W. Barlow,et al.  Robust variance estimation for the case-cohort design. , 1994, Biometrics.

[10]  E R Martin,et al.  Identification of significant association and gene-gene interaction of GABA receptor subunit genes in autism. , 2005, American journal of human genetics.

[11]  John Danesh,et al.  Seven haemostatic gene polymorphisms in coronary disease: meta-analysis of 66 155 cases and 91 307 controls , 2006, The Lancet.

[12]  E. Boerwinkle,et al.  Interaction Between Soluble Thrombomodulin and Intercellular Adhesion Molecule-1 in Predicting Risk of Coronary Heart Disease , 2003, Circulation.

[13]  Mark Daly,et al.  Haploview: analysis and visualization of LD and haplotype maps , 2005, Bioinform..

[14]  C. Sing,et al.  Subsets of SNPs define rare genotype classes that predict ischemic heart disease , 2006, Human Genetics.

[15]  D. Arveiler,et al.  Endothelial Cell Markers and the Risk of Coronary Heart Disease: The Prospective Epidemiological Study of Myocardial Infarction (PRIME) Study , 2004, Circulation.

[16]  C. Mathew,et al.  Blot hybridisation analysis of genomic DNA. , 1984, Journal of medical genetics.

[17]  G. Rechavi,et al.  Factor V Leiden and antiphospholipid antibodies are significant risk factors for ischemic stroke in children. , 2000, Stroke.

[18]  O. Ayyıldız,et al.  A young adult with coronary artery and jugular vein thrombosis: a case report of combined protein S and protein C deficiency , 2002, Heart and Vessels.

[19]  Chiara Sabatti,et al.  Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies , 2006, Nature Genetics.

[20]  Mark Walker,et al.  Combining Information from Common Type 2 Diabetes Risk Polymorphisms Improves Disease Prediction , 2006, PLoS medicine.

[21]  Burton H Singer,et al.  Combinations of biomarkers predictive of later life mortality , 2006, Proceedings of the National Academy of Sciences.

[22]  José A Fernández,et al.  Activated protein C blocks p53-mediated apoptosis in ischemic human brain endothelium and is neuroprotective , 2003, Nature Medicine.

[23]  T. Raghunathan,et al.  Factor V Leiden (resistance to activated protein C) increases the risk of myocardial infarction in young women. , 1997, Blood.

[24]  T. van der Poll,et al.  Thrombomodulin mutant mice with a strongly reduced capacity to generate activated protein C have an unaltered pulmonary immune response to respiratory pathogens and lipopolysaccharide. , 2004, Blood.

[25]  P. Grant,et al.  Role of hemostatic gene polymorphisms in venous and arterial thrombotic disease. , 2000, Blood.

[26]  Berislav V. Zlokovic,et al.  Anti-Inflammatory, Antithrombotic, and Neuroprotective Effects of Activated Protein C in a Murine Model of Focal Ischemic Stroke , 2001, Circulation.

[27]  A. Martí,et al.  Gene–gene interaction between PPARγ2 and ADRβ3 increases obesity risk in children and adolescents , 2004, International Journal of Obesity.

[28]  L. Peltonen,et al.  Evaluating whole genome amplification via multiply-primed rolling circle amplification for SNP genotyping of samples with low DNA yield. , 2005, Twin research and human genetics : the official journal of the International Society for Twin Studies.

[29]  P. Reitsma,et al.  Genotypic variation in the promoter region of the protein C gene is associated with plasma protein C levels and thrombotic risk. , 1995, Arteriosclerosis, thrombosis, and vascular biology.

[30]  Sangita Kulathinal,et al.  MORGAM (an international pooling of cardiovascular cohorts). , 2004, International journal of epidemiology.

[31]  W. White,et al.  Inflammatory Gene Polymorphisms and Risk of Postoperative Myocardial Infarction After Cardiac Surgery , 2006, Circulation.