Using a derivation cohort (N=349), we developed the first warfarin dosing algorithm that includes recently discovered polymorphisms in VKORC1 and CYP2C9 associated with warfarin dose requirement in African Americans (AAs). We tested our novel algorithm in an independent cohort of 129 AAs and compared the dose prediction to the International Warfarin Pharmacogenetics Consortium (IWPC) dosing algorithms. Our algorithm explains more of the phenotypic variation (R(2)=0.27) than the IWPC pharmacogenomics (R(2)=0.15) or clinical (R(2)=0.16) algorithms. Among high-dose patients, our algorithm predicted a higher proportion of patients within 20% of stable warfarin dose (45% vs 29% and 2% in the IWPC pharmacogenomics and clinical algorithms, respectively). In contrast to our novel algorithm, a significant inverse correlation between predicted dose and percent West African ancestry was observed for the IWPC pharmacogenomics algorithm among patients requiring ⩾60 mg per week (β=-2.04, P=0.02).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016191PMC
http://dx.doi.org/10.1038/tpj.2013.34DOI Listing

Publication Analysis

Top Keywords

iwpc pharmacogenomics
12
african americans
8
warfarin dose
8
novel algorithm
8
algorithm
6
warfarin
5
ethnicity-specific pharmacogenetics
4
pharmacogenetics case
4
case warfarin
4
warfarin african
4

Similar Publications

Pharmacogenomics stands as a pivotal driver toward personalized medicine, aiming to optimize drug efficacy while minimizing adverse effects by uncovering the impact of genetic variations on inter-individual outcome variability. Despite its promise, the intricate landscape of drug metabolism introduces complexity, where the correlation between drug response and genes can be shaped by numerous nongenetic factors, often exhibiting heterogeneity across diverse subpopulations. This challenge is particularly pronounced in datasets such as the International Warfarin Pharmacogenetic Consortium (IWPC), which encompasses diverse patient information from multiple nations.

View Article and Find Full Text PDF

Objective: Warfarin has a narrow therapeutic window and large variability in dosing that are affected by clinical and genetic factors. To help guide the dosing of warfarin, the Clinical Pharmacogenetics Implementation Consortium has recommended the use of pharmacogenetic algorithms, such as the ones developed by the International Warfarin Pharmacogenetics Consortium (IWPC) and by Gage et al. when genotype information is available.

View Article and Find Full Text PDF

LA-GEM: imputation of gene expression with incorporation of Local Ancestry.

Pac Symp Biocomput

January 2024

Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA†Contributed equally to the work.

Gene imputation and TWAS have become a staple in the genomics medicine discovery space; helping to identify genes whose regulation effects may contribute to disease susceptibility. However, the cohorts on which these methods are built are overwhelmingly of European Ancestry. This means that the unique regulatory variation that exist in non-European populations, specifically African Ancestry populations, may not be included in the current models.

View Article and Find Full Text PDF
Article Synopsis
  • - A study was conducted to create and validate a warfarin dose optimization algorithm specifically for Asian patients, following CPIC recommendations, by assessing genetic factors affecting individual responses to the medication.
  • - The research involved 300 patients, assessing genetic polymorphisms and clinical factors, revealing significant influences on warfarin doses, and resulting in an algorithm that correlates well with established Western algorithms.
  • - The newly developed algorithm demonstrated strong predictive capabilities (73% sensitivity and 96% positive predictive value), indicating its potential readiness for further clinical trial evaluation.
View Article and Find Full Text PDF

Background: Warfarin is well known as a narrow therapeutic index that has prodigious variability in response which challenges dosing adjustment for the maintenance of therapeutic international normalized ratio. However, an appreciated population not on new oral anticoagulants may still need to be stabilized with warfarin dosing.

Objective: The current study's main objective was to validate and compare two models of warfarin clinical algorithm models namely the Gage and the International Warfarin Pharmacogenetics Consortium (IWPC) with warfarin 5 mg fixed standard dosing strategy in a sample of Sudanese subjects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!