Literature DB >> 15273956

Imputing gene-treatment interactions when the genotype distribution is unknown using case-only and putative placebo analyses--a new method for the Genetics of Hypertension Associated Treatment (GenHAT) study.

Barry R Davis1, Charles E Ford, Eric Boerwinkle, Donna Arnett, John Eckfeldt, Henry Black.   

Abstract

There is a sizeable literature on methods for detecting gene-environment interaction in the framework of case-control studies, particularly with reference to the assumption of independence of genotype and exposure. In the context of a clinical trial, wherein gene-drug interactions with regard to outcomes are examined, these methods may be readily applied, as gene and drug are independent by randomization. In an active-controlled trial (experimental treatment vs standard) that has collected genotype information, gene-drug interactions can be estimated. In addition, the effect of the experimental treatment vs placebo can be imputed by using data from a historical placebo-controlled trial (standard vs placebo) if either (a) genotype information is available from the historical trial or (b) assumptions are made about the prevalence of genotype and the odds ratios of genotype and disease in the historical trial using information from other studies. Motivation for these procedures is provided by the Genetics of Hypertension Associated Treatment, a large pharmacogenetics, ancillary study of a hypertension clinical trial, and examples from published hypertension trials will be used to illustrate the methods.

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Year:  2004        PMID: 15273956     DOI: 10.1002/sim.1831

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

Review 1.  Pharmacogenetics of response to statins: where do we stand?

Authors:  Anke-Hilse Maitland-van der Zee; Eric Boerwinkle
Journal:  Curr Atheroscler Rep       Date:  2005-05       Impact factor: 5.113

Review 2.  Gene--environment-wide association studies: emerging approaches.

Authors:  Duncan Thomas
Journal:  Nat Rev Genet       Date:  2010-04       Impact factor: 53.242

3.  Heart failure in ALLHAT: did blood pressure medication at study entry influence outcome?

Authors:  Richard H Grimm; Barry R Davis; Linda B Piller; Jeffrey A Cutler; Karen L Margolis; Joshua Barzilay; Richard A Dart; James F Graumlich; Robert A Murden; Otelio S Randall
Journal:  J Clin Hypertens (Greenwich)       Date:  2009-09       Impact factor: 3.738

4.  RYR3 gene polymorphisms and cardiovascular disease outcomes in the context of antihypertensive treatment.

Authors:  A I Lynch; M R Irvin; E Boerwinkle; B R Davis; L K Vaughan; C E Ford; B Aissani; J H Eckfeldt; D K Arnett; S Shrestha
Journal:  Pharmacogenomics J       Date:  2012-06-05       Impact factor: 3.550

5.  Genome-wide study of gene variants associated with differential cardiovascular event reduction by pravastatin therapy.

Authors:  Dov Shiffman; Stella Trompet; Judy Z Louie; Charles M Rowland; Joseph J Catanese; Olga A Iakoubova; Todd G Kirchgessner; Rudi G J Westendorp; Anton J M de Craen; P Eline Slagboom; Brendan M Buckley; David J Stott; Naveed Sattar; James J Devlin; Christopher J Packard; Ian Ford; Frank M Sacks; J Wouter Jukema
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

  5 in total

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