Standish Kristopher A, Huang C Chris, Curran Mark E, Schork Nicholas J
Biomedical Sciences Graduate Program, University of California, San Diego, Gilman Drive, La Jolla, 92092, CA, USA.
Network Pharmacology and Biomarkers, Janssen R&D LLC, Springhouse, PA, USA.
Arthritis Res Ther. 2017 May 12;19(1):90. doi: 10.1186/s13075-017-1299-8.
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.
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.
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.
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.
Clinicaltrials.gov NCT00973479 . Registered 4 September 2009.
个体患者对特定药物的反应受多种因素影响,其中可能包括遗传易感性。药物遗传学研究试图发现并评估基因变异对药物治疗反应变异性的贡献。识别基因贡献的任务常常因基于不精确或主观临床观察的反应表型而变得复杂。由于药物遗传学研究的成功取决于对可遗传表型的分析,因此识别具有显著可遗传成分的表型对于确保后续基因关联研究结果的可靠性和可重复性非常重要。
我们回顾性分析了在III期GO-FURTHER研究中接受戈利木单抗治疗的436例类风湿性关节炎患者收集的数据。我们研究了戈利木单抗治疗后几种潜在反应结果的可靠性。通过对临床试验队列进行全基因组测序,我们估计了每个潜在结果指标的遗传力。我们进一步对临床数据进行纵向分析,以估计结果指标随时间的变异性以及每个反应指标可能被安慰剂反应混淆的程度。
我们确定,患者随时间的高度个体内变异使得单次随访不足以评估个体患者对戈利木单抗治疗的反应。我们发现不同的潜在反应结果具有不同程度的遗传力,并且多次随访的平均值产生的遗传力估计值高于单次随访估计值。重要的是,我们发现肿胀和压痛关节计数的变化是我们测试的最具遗传性的结果指标;然而,我们表明,与C反应蛋白水平变化等客观表型相比,它们也更有可能被安慰剂反应混淆。
我们寻找稳健且可遗传的反应表型的严格方法可能对所有药物遗传学研究都有益,并可能导致更可靠和可重复的结果。
Clinicaltrials.gov NCT00973479。于2009年9月4日注册。