SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:kth-161617"
 

Sökning: id:"swepub:oai:DiVA.org:kth-161617" > Predicting venous t...

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

Bruzelius, M. (författare)
Karolinska Institutet
Bottai, M. (författare)
Karolinska Institutet
Sabater-Lleal, M. (författare)
Karolinska Institutet
visa fler...
Strawbridge, R. J. (författare)
Karolinska Institutet
Bergendal, A. (författare)
Silveira, A. (författare)
Karolinska Institutet
Sundstrom, A. (författare)
Karolinska Institutet
Kieler, H. (författare)
Karolinska Institutet
Hamsten, A. (författare)
Karolinska Institutet
Odeberg, Jacob (författare)
Karolinska Institutet,KTH,Proteomik och nanobioteknologi,Science for Life Laboratory, SciLifeLab,Karolinska University Hospital Solna, Sweden; Karolinska Institutet, Sweden
visa färre...
 (creator_code:org_t)
Elsevier BV, 2015
2015
Engelska.
Ingår i: Journal of Thrombosis and Haemostasis. - : Elsevier BV. - 1538-7933 .- 1538-7836. ; 13:2, s. 219-227
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Hematologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Hematology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

epidemiology
polymorphism
single nucleotide
ROC curve
venous thrombosis
women

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy