{"title":"Summary of Recent Articles of Interest","authors":"W. Lieb, R. Vasan","doi":"10.1161/CIRCGENETICS.109.874875","DOIUrl":null,"url":null,"abstract":"Received April 21, 2009; accepted April 21, 2009. \n\n1. International Warfarin Pharmacogenetics Consortium; Klein TE, Altman RB, Eriksson N, Gage BF, Kimmel SE, Lee MT, Limdi NA, Page D, Roden DM, Wagner MJ, Caldwell MD, Johnson JA. Estimation of the warfarin dose with clinical and pharmacogenetic data. N Engl J Med. 2009;360:753–764. PMID: 19228618.\n\n### Study Hypothesis\n\nInterindividual variation in the response to warfarin therapy is in part determined by genetic factors. Specifically, variation in 2 genes, CYP2C9 (encoding cytochrome P450, family 2, subfamily C, and polypeptide 9) and VKORC1 (encodes vitamin K epoxide reductase complex subunit-1), are known to affect warfarin dose requirements. It is conceivable that an algorithm including genetic predictors in addition to clinical information improves warfarin dose estimation incrementally over algorithms based on clinical data alone.\n\n### How Was the Hypothesis Tested?\n\nWithin the International Warfarin Pharmacogenetics Consortium, 5052 participants with a target international normalized ratio of 2 to 3 were selected for analyses. Of the eligible patients, 80% (n=4043) were randomly selected as the “derivation cohort,” the remaining 20% (n=1009) constituted the “validation cohort.” After evaluating different statistical models, a least-squares linear regression model (with the square root of warfarin dose as the dependent variable) best fit the data and was used for further analyses. Three models were compared in their ability to predict the therapeutic warfarin dose (defined as the steady-state dose leading to stable anticoagulation levels): a clinical model (including information about age, height, weight, race, enzyme inducer status, and Amiodarone use status), a fixed-dose model (5 mg per day), and a pharmacogenetic model that included CYP2C9 and VKORC1 genotypic information in addition to the above-described clinical covariates. Furthermore, the performance of the 3 algorithms was evaluated in 3 subgroups based on the weekly warfarin dose: ≤21, >21 and <49, and ≥49 mg per week. To evaluate the models’ predictive accuracy, the …","PeriodicalId":48940,"journal":{"name":"Circulation-Cardiovascular Genetics","volume":"2 1","pages":"298-302"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1161/CIRCGENETICS.109.874875","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation-Cardiovascular Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1161/CIRCGENETICS.109.874875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Received April 21, 2009; accepted April 21, 2009.
1. International Warfarin Pharmacogenetics Consortium; Klein TE, Altman RB, Eriksson N, Gage BF, Kimmel SE, Lee MT, Limdi NA, Page D, Roden DM, Wagner MJ, Caldwell MD, Johnson JA. Estimation of the warfarin dose with clinical and pharmacogenetic data. N Engl J Med. 2009;360:753–764. PMID: 19228618.
### Study Hypothesis
Interindividual variation in the response to warfarin therapy is in part determined by genetic factors. Specifically, variation in 2 genes, CYP2C9 (encoding cytochrome P450, family 2, subfamily C, and polypeptide 9) and VKORC1 (encodes vitamin K epoxide reductase complex subunit-1), are known to affect warfarin dose requirements. It is conceivable that an algorithm including genetic predictors in addition to clinical information improves warfarin dose estimation incrementally over algorithms based on clinical data alone.
### How Was the Hypothesis Tested?
Within the International Warfarin Pharmacogenetics Consortium, 5052 participants with a target international normalized ratio of 2 to 3 were selected for analyses. Of the eligible patients, 80% (n=4043) were randomly selected as the “derivation cohort,” the remaining 20% (n=1009) constituted the “validation cohort.” After evaluating different statistical models, a least-squares linear regression model (with the square root of warfarin dose as the dependent variable) best fit the data and was used for further analyses. Three models were compared in their ability to predict the therapeutic warfarin dose (defined as the steady-state dose leading to stable anticoagulation levels): a clinical model (including information about age, height, weight, race, enzyme inducer status, and Amiodarone use status), a fixed-dose model (5 mg per day), and a pharmacogenetic model that included CYP2C9 and VKORC1 genotypic information in addition to the above-described clinical covariates. Furthermore, the performance of the 3 algorithms was evaluated in 3 subgroups based on the weekly warfarin dose: ≤21, >21 and <49, and ≥49 mg per week. To evaluate the models’ predictive accuracy, the …
期刊介绍:
Circulation: Genomic and Precision Medicine considers all types of original research articles, including studies conducted in human subjects, laboratory animals, in vitro, and in silico. Articles may include investigations of: clinical genetics as applied to the diagnosis and management of monogenic or oligogenic cardiovascular disorders; the molecular basis of complex cardiovascular disorders, including genome-wide association studies, exome and genome sequencing-based association studies, coding variant association studies, genetic linkage studies, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics; integration of electronic health record data or patient-generated data with any of the aforementioned approaches, including phenome-wide association studies, or with environmental or lifestyle factors; pharmacogenomics; regulation of gene expression; gene therapy and therapeutic genomic editing; systems biology approaches to the diagnosis and management of cardiovascular disorders; novel methods to perform any of the aforementioned studies; and novel applications of precision medicine. Above all, we seek studies with relevance to human cardiovascular biology and disease. Manuscripts are examined by the editorial staff and usually evaluated by expert reviewers assigned by the editors. Both clinical and basic articles will also be subject to statistical review, when appropriate. Provisional or final acceptance is based on originality, scientific content, and topical balance of the journal. Decisions are communicated by email, generally within six weeks. The editors will not discuss a decision about a manuscript over the phone. All rebuttals must be submitted in writing to the editorial office.