Bennett Derrick A, Holmes Michael V
Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Heart. 2017 Sep;103(18):1400-1407. doi: 10.1136/heartjnl-2016-310605. Epub 2017 Jun 8.
Understanding the causal role of biomarkers in cardiovascular and other diseases is crucial in order to find effective approaches (including pharmacological therapies) for disease treatment and prevention. Classical observational studies provide naïve estimates of the likely role of biomarkers in disease development; however, such studies are prone to bias. This has direct relevance for drug development as if drug targets track to non-causal biomarkers, this can lead to expensive failure of these drugs in phase III randomised controlled trials. In an effort to provide a more reliable indication of the likely causal role of a biomarker in the development of disease, Mendelian randomisation studies are increasingly used, and this is facilitated by the availability of large-scale genetic data. We conducted a narrative review in order to provide a description of the utility of Mendelian randomisation for clinicians engaged in cardiovascular research. We describe the rationale and provide a basic description of the methods and potential limitations of Mendelian randomisation. We give examples from the literature where Mendelian randomisation has provided pivotal information for drug discovery including predicting efficacy, informing on target-mediated adverse effects and providing potential new evidence for drug repurposing. The variety of the examples presented illustrates the importance of Mendelian randomisation in order to prioritise drug targets for cardiovascular research.
为了找到疾病治疗和预防的有效方法(包括药物治疗),了解生物标志物在心血管疾病和其他疾病中的因果作用至关重要。传统的观察性研究对生物标志物在疾病发展中可能发挥的作用提供了直观的估计;然而,此类研究容易产生偏差。这与药物开发直接相关,因为如果药物靶点与非因果性生物标志物相关,可能会导致这些药物在III期随机对照试验中遭遇代价高昂的失败。为了更可靠地表明生物标志物在疾病发展中可能的因果作用,孟德尔随机化研究的应用越来越广泛,大规模基因数据的可得性也推动了该研究的开展。我们进行了一项叙述性综述,旨在向从事心血管研究的临床医生描述孟德尔随机化的效用。我们阐述了其基本原理,并对孟德尔随机化的方法及潜在局限性进行了简要描述。我们列举了文献中的实例,说明孟德尔随机化在药物研发中提供关键信息的情况,包括预测疗效、揭示靶点介导的不良反应以及为药物再利用提供潜在新证据。所举实例的多样性说明了孟德尔随机化对于确定心血管研究药物靶点优先级的重要性。