Influence of common and rare genetic variation on warfarin dose among African-Americans and European-Americans using the exome array.
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ABSTRACT:
SUBMITTER: Liu N
PROVIDER: S-EPMC5619051 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
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Influence of common and rare genetic variation on warfarin dose among African-Americans and European-Americans using the exome array.
Liu Nianjun N Irvin Marguerite R MR Zhi Degui D Patki Amit A Beasley T Mark TM Nickerson Deborah A DA Hill Charles E CE Chen Jinbo J Kimmel Stephen E SE Limdi Nita A NA
Pharmacogenomics 20170707 11
<h4>Aim</h4>We conducted a genome-wide association study using the Illumina Exome Array to identify coding SNPs that may explain additional warfarin dose variability.<h4>Patients & methods</h4>Analysis was performed after adjustment for clinical variables and genetic factors known to influence warfarin dose among 1680 warfarin users (838 European-Americans and 842 African-Americans). Replication was performed in an independent sample.<h4>Results</h4>We confirmed the influence of known genetic va ...[more]
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Project description:BACKGROUND: Cytochrome P4502C9 (CYP2C9) plays a vital role in drug metabolism. There has been an increased effort to identify polymorphisms within the gene and determine their clinical consequences. However, most of these efforts have focused on populations of European descent. Herein we report the influence of CYP2C9 genotype on warfarin dose among European American and African American patients. We also identify two new mutations; one in the coding region and one in the non-coding region of the CYP2C9 gene. METHODS: Patients (?20 years of age) are enrolled after obtaining medical, lifestyle and concomitant medication history. Changes in International Normalized Ratio (INR), warfarin dose, co-medications, diet, physical activity and the occurrence of complications are documented. CYP2C9 genotype was determined using PCR-RFLP and pyrosequencing. Differences in genotype frequencies and HWE assumptions were assessed using ?(2) statistics and exact tests. The genotype dose association was evaluated using multivariable linear regression. RESULTS: This report includes 490 patients (mean age 60.6 ± 15.6, 51.3% men). African American patients comprise 48.9% of the cohort with mean follow-up of 13.5 (±10.6) months. Both the CYP2C9 *2 and *3 allele were more frequent in European Americans (11.24%, 5.1%) compared to African Americans (1.1% and 1.8%). CYP2C9 *5 (0.9%), *6 (0.4%), and *11 (1.1%) variants were only observed in African Americans. The variant genotype is more frequent among European Americans compared to African Americans (29.8% vs. 9.73%, p<0.0001). Warfarin dose was significantly related to CYP2C9 genotype (p<0.0001) both in univariate and multivariate analyses. Multivariable race-specific analyses highlight the contribution of CYP2C9 genotype among European American but not among African American patients. CONCLUSION: The variant CYP2C9 genotype is more frequent among European Americans compared to African Americans. Among African Americans the variant genotype frequency is higher than previously reported. CYP2C9 genotype predicts warfarin dose in European Americans, but not in African Americans.
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Project description:BACKGROUND:Genome-wide association studies are useful for discovering genotype-phenotype associations but are limited because they require large cohorts to identify a signal, which can be population-specific. Mapping genetic variation to genes improves power and allows the effects of both protein-coding variation as well as variation in expression to be combined into "gene level" effects. METHODS:Previous work has shown that warfarin dose can be predicted using information from genetic variation that affects protein-coding regions. Here, we introduce a method that improves dose prediction by integrating tissue-specific gene expression. In particular, we use drug pathways and expression quantitative trait loci knowledge to impute gene expression-on the assumption that differential expression of key pathway genes may impact dose requirement. We focus on 116 genes from the pharmacokinetic and pharmacodynamic pathways of warfarin within training and validation sets comprising both European and African-descent individuals. RESULTS:We build gene-tissue signatures associated with warfarin dose in a cohort-specific manner and identify a signature of 11 gene-tissue pairs that significantly augments the International Warfarin Pharmacogenetics Consortium dosage-prediction algorithm in both populations. CONCLUSIONS:Our results demonstrate that imputed expression can improve dose prediction and bridge population-specific compositions. MATLAB code is available at https://github.com/assafgo/warfarin-cohort.
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