• J. Thromb. Haemost. · Feb 2015

    Predicting venous thrombosis in women using a combination of genetic markers and clinical risk factors.

    • M Bruzelius, M Bottai, M Sabater-Lleal, R J Strawbridge, A Bergendal, A Silveira, A Sundström, H Kieler, A Hamsten, and J Odeberg.
    • Coagulation Unit, Hematology Centre, Karolinska University Hospital Solna, Stockholm, Sweden; Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet (KI), Stockholm, Sweden.
    • J. Thromb. Haemost. 2015 Feb 1; 13 (2): 219-27.

    BackgroundFamily history of venous thromboembolism (VTE) has been suggested to be more useful in risk assessment than thrombophilia testing.ObjectivesWe investigated established genetic susceptibility variants for association with VTE and evaluated a genetic risk score in isolation and combined with known trigger factors, including family history of VTE.Patients/MethodA total of 18 single nucleotide polymorphisms (SNPs) selected from the literature were genotyped in 2835 women participating in a Swedish nationwide case-control study (the ThromboEmbolism Hormone Study [TEHS]). Association with VTE was assessed by odds ratios (ORs) with 95% confidence interval (CI) using logistic regression. Clinical and genetic predictors that contributed significantly to the fit of the logistic regression model were included in the prediction models. SNP-SNP interactions were investigated and incorporated into the models if found significant. Risk scores were evaluated by calculating the area under the receiver-operating characteristics curve (AUC).ResultsSeven SNPs (F5 rs6025, F2 rs1799963, ABO rs514659, FGG rs2066865, F11 rs2289252, PROC rs1799810 and KNG1 rs710446) with four SNP-SNP interactions contributed to the genetic risk score for VTE, with an AUC of 0.66 (95% CI, 0.64-0.68). After adding clinical risk factors, which included family history of VTE, the AUC reached 0.84 (95% CI, 0.82-0.85). The goodness of fit of the genetic and combined scores improved when significant SNP-SNP interaction terms were included.ConclusionPrediction of VTE in high-risk individuals was more accurate when a combination of clinical and genetic predictors with SNP-SNP interactions was included in a risk score.© 2014 International Society on Thrombosis and Haemostasis.

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