Literature DB >> 24096969

Characterization of statin dose response in electronic medical records.

W-Q Wei1, Q Feng2, L Jiang3, M S Waitara2, O F Iwuchukwu2, D M Roden4, M Jiang5, H Xu5, R M Krauss6, J I Rotter7, D A Nickerson8, R L Davis9, R L Berg10, P L Peissig10, C A McCarty11, R A Wilke12, J C Denny1.   

Abstract

Efforts to define the genetic architecture underlying variable statin response have met with limited success, possibly because previous studies were limited to effect based on a single dose. We leveraged electronic medical records (EMRs) to extract potency (ED50) and efficacy (Emax) of statin dose-response curves and tested them for association with 144 preselected variants. Two large biobanks were used to construct dose-response curves for 2,026 and 2,252 subjects on simvastatin and atorvastatin, respectively. Atorvastatin was more efficacious, was more potent, and demonstrated less interindividual variability than simvastatin. A pharmacodynamic variant emerging from randomized trials (PRDM16) was associated with Emax for both. For atorvastatin, Emax was 51.7 mg/dl in subjects homozygous for the minor allele vs. 75.0 mg/dl for those homozygous for the major allele. We also identified several loci associated with ED50. The extraction of rigorously defined traits from EMRs for pharmacogenetic studies represents a promising approach to further understand the genetic factors contributing to drug response.

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Year:  2013        PMID: 24096969      PMCID: PMC3944214          DOI: 10.1038/clpt.2013.202

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  41 in total

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4.  Construction of atorvastatin dose-response relationships using data from a large population-based DNA biobank.

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Journal:  Basic Clin Pharmacol Toxicol       Date:  2007-04       Impact factor: 4.080

5.  Development of a large-scale de-identified DNA biobank to enable personalized medicine.

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8.  A dose-specific meta-analysis of lipid changes in randomized controlled trials of atorvastatin and simvastatin.

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9.  Phenotypic predictors of response to simvastatin therapy among African-Americans and Caucasians: the Cholesterol and Pharmacogenetics (CAP) Study.

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10.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

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2.  The effect of genetic variation in PCSK9 on the LDL-cholesterol response to statin therapy.

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6.  Genetic variation in the UGT1A locus is associated with simvastatin efficacy in a clinical practice setting.

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7.  Characterization of Statin Low-Density Lipoprotein Cholesterol Dose-Response Using Electronic Health Records in a Large Population-Based Cohort.

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8.  Integrating electronic health record genotype and phenotype datasets to transform patient care.

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9.  LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins.

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10.  High-throughput framework for genetic analyses of adverse drug reactions using electronic health records.

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