BACKGROUND: Genome-wide association studies (GWAS) on warfarin and acenocoumarol showed that interindividual dosage variation is mainly associated with single nucleotide polymorphisms (SNPs) in VKORC1 and to a lesser extent in CYP2C9 and CYP4F2. For phenprocoumon dosage, the genes encoding CYP3A4 and ApoE might play a role. OBJECTIVE: To assess the association between common genetic variants within VKORC1, CYP2C9, CYP4F2, CYP3A4, and ApoE and phenprocoumon maintenance dosage, and to identify novel signals using GWAS. METHODS: We selected all participants from the Rotterdam study who were treated with phenprocoumon. For each SNP, we tested the association between the above-mentioned genotypes and age, sex, body mass index, and target INR adjusted-phenprocoumon maintenance dosage. RESULTS: Within our study population (N=244), VKORC1, CYP2C9, CYP4F2 genotypes together explained 46% of phenprocoumon maintenance dosage variation. Each additional VKORC1 variant allele reduced phenprocoumon maintenance dosage by 4.8 mg/week (P<0.0001) and each additional CYP2C9 variant allele by 2.2 mg/week (P=0.002). Each additional variant allele of CYP4F2 increased phenprocoumon dosage by 1.5 mg/week (P=0.022). Variant alleles of CYP3A41*B and ApoE showed no association with phenprocoumon dosage. Genome-wide significant SNPs were all related to VKORC1 activity. Best associated were two SNPs in complete linkage disequilibrium with each other and with SNPs within VKORC1: rs10871454 [Syntaxin 4A (STX4A)] and rs11150604 (ZNF646), each with a P value of 2.1×10⁻²². Each reduced phenprocoumon maintenance dosage weekly by 4.9 mg per variant allele. CONCLUSION: Similar to earlier findings with warfarin and acenocoumarol, phenprocoumon maintenance dosage depended on polymorphisms in the VKORC1 gene. CYP2C9 and CYP4F2 were of modest relevance.
BACKGROUND: Genome-wide association studies (GWAS) on warfarin and acenocoumarol showed that interindividual dosage variation is mainly associated with single nucleotide polymorphisms (SNPs) in VKORC1 and to a lesser extent in CYP2C9 and CYP4F2. For phenprocoumon dosage, the genes encoding CYP3A4 and ApoE might play a role. OBJECTIVE: To assess the association between common genetic variants within VKORC1, CYP2C9, CYP4F2, CYP3A4, and ApoE and phenprocoumon maintenance dosage, and to identify novel signals using GWAS. METHODS: We selected all participants from the Rotterdam study who were treated with phenprocoumon. For each SNP, we tested the association between the above-mentioned genotypes and age, sex, body mass index, and target INR adjusted-phenprocoumon maintenance dosage. RESULTS: Within our study population (N=244), VKORC1, CYP2C9, CYP4F2 genotypes together explained 46% of phenprocoumon maintenance dosage variation. Each additional VKORC1 variant allele reduced phenprocoumon maintenance dosage by 4.8 mg/week (P<0.0001) and each additional CYP2C9 variant allele by 2.2 mg/week (P=0.002). Each additional variant allele of CYP4F2 increased phenprocoumon dosage by 1.5 mg/week (P=0.022). Variant alleles of CYP3A41*B and ApoE showed no association with phenprocoumon dosage. Genome-wide significant SNPs were all related to VKORC1 activity. Best associated were two SNPs in complete linkage disequilibrium with each other and with SNPs within VKORC1: rs10871454 [Syntaxin 4A (STX4A)] and rs11150604 (ZNF646), each with a P value of 2.1×10⁻²². Each reduced phenprocoumon maintenance dosage weekly by 4.9 mg per variant allele. CONCLUSION: Similar to earlier findings with warfarin and acenocoumarol, phenprocoumon maintenance dosage depended on polymorphisms in the VKORC1 gene. CYP2C9 and CYP4F2 were of modest relevance.
Authors: Albert Hofman; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; M Arfan Ikram; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Ch Stricker; Henning W Tiemeier; André G Uitterlinden; Meike W Vernooij Journal: Eur J Epidemiol Date: 2013-11-21 Impact factor: 8.082
Authors: Dale M Perez; Mark P Richards; Robert S Parker; Mark E Berres; Aaron T Wright; Mamduh Sifri; Natalie C Sadler; Nantawat Tatiyaborworntham; Na Li Journal: J Agric Food Chem Date: 2016-01-12 Impact factor: 5.279
Authors: E Danese; M Montagnana; J A Johnson; A E Rettie; C F Zambon; S A Lubitz; G Suarez-Kurtz; L H Cavallari; L Zhao; M Huang; Y Nakamura; T Mushiroda; M K Kringen; P Borgiani; C Ciccacci; N T Au; T Langaee; V Siguret; M A Loriot; H Sagreiya; R B Altman; M H A Shahin; S A Scott; S I Khalifa; B Chowbay; I M Suriapranata; M Teichert; B H Stricker; M Taljaard; M R Botton; J E Zhang; M Pirmohamed; X Zhang; J F Carlquist; B D Horne; M T M Lee; V Pengo; G C Guidi; P Minuz; C Fava Journal: Clin Pharmacol Ther Date: 2012-11-07 Impact factor: 6.875
Authors: Albert Hofman; Cornelia M van Duijn; Oscar H Franco; M Arfan Ikram; Harry L A Janssen; Caroline C W Klaver; Ernst J Kuipers; Tamar E C Nijsten; Bruno H Ch Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Jacqueline C M Witteman Journal: Eur J Epidemiol Date: 2011-08-30 Impact factor: 8.082