{"title":"最近感兴趣的文章摘要","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. 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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. 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引用次数: 0
摘要
2009年4月21日收稿;2009年4月21日接受。1. 国际华法林药物遗传学协会;Klein TE, Altman RB, Eriksson N, Gage BF, Kimmel SE, Lee MT, Limdi NA, Page D, Roden DM, Wagner MJ, Caldwell MD, Johnson JA。根据临床和药理学资料估计华法林的剂量。中华医学杂志。2009;36(1):753 - 764。PMID: 19228618。研究假设对华法林治疗反应的个体间差异部分是由遗传因素决定的。具体而言,已知CYP2C9(编码细胞色素P450,家族2,亚家族C和多肽9)和VKORC1(编码维生素K环氧化物还原酶复合物亚基-1)这两个基因的变异会影响华法林剂量需求。可以想象,一种除临床信息外还包括遗传预测因子的算法比仅基于临床数据的算法逐步改善华法林剂量估计。这个假设是如何检验的?在国际华法林药物遗传学联合会中,选择5052名参与者进行分析,目标国际标准化比例为2比3。在符合条件的患者中,随机选择80% (n=4043)为“衍生队列”,剩余20% (n=1009)为“验证队列”。在对不同的统计模型进行评估后,最小二乘线性回归模型(以华法林剂量的平方根为因变量)最适合数据,并用于进一步分析。我们比较了三种模型预测华法林治疗剂量(定义为稳定抗凝水平的稳态剂量)的能力:临床模型(包括年龄、身高、体重、种族、酶诱诱剂状态和胺碘酮使用状态等信息)、固定剂量模型(每天5mg)和药药学模型(除上述临床协变量外,还包括CYP2C9和VKORC1基因型信息)。此外,根据华法林周剂量≤21 mg、≤21 mg和<49 mg、≥49 mg /周3个亚组对3种算法的性能进行评估。为了评估模型的预测准确性,…
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.