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Published in: Arthritis Research & Therapy 1/2017

Open Access 01-12-2017 | Research Article

Comprehensive analysis of treatment response phenotypes in rheumatoid arthritis for pharmacogenetic studies

Authors: Kristopher A. Standish, C. Chris Huang, Mark E. Curran, Nicholas J. Schork

Published in: Arthritis Research & Therapy | Issue 1/2017

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Abstract

Background

An individual patient’s response to a particular drug is influenced by multiple factors, which may include genetic predisposition. Pharmacogenetic studies attempt to discover and estimate the contributions of genetic variants to the variability in response to a drug treatment. The task of identifying the genetic contribution is often complicated by response phenotypes that are based on imprecise or subjective clinical observations. Because the success of a pharmacogenetic study depends on the analysis of a heritable phenotype, it is important to identify phenotypes with a significant heritable component to ensure reliable and reproducible results in subsequent genetic association studies.

Methods

We retrospectively analyzed data collected from 436 rheumatoid arthritis patients treated with golimumab during the phase III GO-FURTHER study. We investigated the reliability of several potential response outcomes after golimumab treatment. Using whole-genome sequencing of the clinical trial cohort, we estimated the heritability of each potential outcome measure. We further performed a longitudinal analysis of the clinical data to estimate variability of outcome measures over time and the degree to which each response metric could be confounded by placebo response.

Results

We determined that the high degree of within-patient variation over time makes a single follow-up visit insufficient to assess an individual patient’s response to golimumab treatment. We found that different potential response outcomes had varying degrees of heritability and that averaging across multiple follow-up visits yielded higher heritability estimates than single follow-up estimates. Importantly, we found that the change in swollen and tender joint counts were the most heritable outcome metrics we tested; however, we showed that they are also more likely to be confounded by a placebo response than objective phenotypes like the change in C-reactive protein levels.

Conclusions

Our rigorous approach to finding robust and heritable response phenotypes could be beneficial to all pharmacogenetic studies and may lead to more reliable and reproducible results.

Trial Registration

Clinicaltrials.gov NCT00973479. Registered 4 September 2009.
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Metadata
Title
Comprehensive analysis of treatment response phenotypes in rheumatoid arthritis for pharmacogenetic studies
Authors
Kristopher A. Standish
C. Chris Huang
Mark E. Curran
Nicholas J. Schork
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Arthritis Research & Therapy / Issue 1/2017
Electronic ISSN: 1478-6362
DOI
https://doi.org/10.1186/s13075-017-1299-8

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