Identification of novel variants associated with warfarin stable dosage by use of a two-stage extreme phenotype strategy

J Thromb Haemost. 2017 Jan;15(1):28-37. doi: 10.1111/jth.13542. Epub 2016 Nov 30.

Abstract

Essentials Required warfarin doses for mechanical heart valves vary greatly. A two-stage extreme phenotype design was used to identify novel warfarin dose associated mutation. We identified a group of variants significantly associated with extreme warfarin dose. Four novel identified mutations account for 2.2% of warfarin dose discrepancies.

Summary: Background The variation among patients in warfarin response complicates the management of warfarin therapy, and an improper therapeutic dose usually results in serious adverse events. Objective To use a two-stage extreme phenotype strategy in order to discover novel warfarin dose-associated mutations in heart valve replacement patients. Patients/method A total of 1617 stable-dose patients were enrolled and divided randomly into two cohorts. Stage I patients were genotyped into three groups on the basis of VKORC1-1639G>A and CYP2C9*3 polymorphisms; only patients with the therapeutic dose at the upper or lower 5% of each genotype group were selected as extreme-dose patients for resequencing of the targeted regions. Evaluation of the accuracy of the sequence data and the potential value of the stage I-identified significant mutations were conducted in a validation cohort of 420 subjects. Results A group of mutations were found to be significantly associated with the extreme warfarin dose. The validation work finally identified four novel mutations, i.e. DNMT3A rs2304429 (24.74%), CYP1A1 rs3826041 (47.35%), STX1B rs72800847 (7.01%), and NQO1 rs10517 (36.11%), which independently and significantly contributed to the overall variability in the warfarin dose. After addition of these four mutations, the estimated regression equation was able to account for 56.2% (R2Adj = 0.562) of the overall variability in the warfarin maintenance dose, with a predictive accuracy of 62.4%. Conclusion Our study provides evidence linking genetic variations in STX1B, DNMT3A and CYP1A1 to warfarin maintenance dose. The newly identified mutations together account for 2.2% of warfarin dose discrepancy.

Keywords: extreme phenotype; individual differences; polymorphism; rheumatic heart disease; warfarin.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Cytochrome P-450 CYP1A1 / genetics*
  • Cytochrome P-450 CYP2C9 / genetics
  • DNA (Cytosine-5-)-Methyltransferases / genetics*
  • DNA Methyltransferase 3A
  • Female
  • Genetic Predisposition to Disease
  • Genotype
  • Heart Valve Diseases / drug therapy
  • Heart Valve Diseases / surgery*
  • Heart Valve Prosthesis
  • Humans
  • Male
  • Middle Aged
  • Mutation
  • NAD(P)H Dehydrogenase (Quinone) / genetics
  • Phenotype
  • Polymorphism, Single Nucleotide
  • Predictive Value of Tests
  • Prospective Studies
  • Regression Analysis
  • Reproducibility of Results
  • Syntaxin 1 / genetics*
  • Vitamin K Epoxide Reductases / genetics
  • Warfarin / therapeutic use*

Substances

  • DNMT3A protein, human
  • STX1B protein, human
  • Syntaxin 1
  • Warfarin
  • CYP2C9 protein, human
  • Cytochrome P-450 CYP2C9
  • CYP1A1 protein, human
  • Cytochrome P-450 CYP1A1
  • VKORC1 protein, human
  • Vitamin K Epoxide Reductases
  • NAD(P)H Dehydrogenase (Quinone)
  • NQO1 protein, human
  • DNA (Cytosine-5-)-Methyltransferases
  • DNA Methyltransferase 3A

Associated data

  • ChiCTR/ChiCTRONC-11001532