Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Genet Epidemiol. 2024 Mar;48(2):59-73. doi: 10.1002/gepi.22544. Epub 2024 Jan 23.
Mendelian randomization (MR) has become a popular tool for inferring causality of risk factors on disease. There are currently over 45 different methods available to perform MR, reflecting this extremely active research area. It would be desirable to have a standard simulation environment to objectively evaluate the existing and future methods. We present simmrd, an open-source software for performing simulations to evaluate the performance of MR methods in a range of scenarios encountered in practice. Researchers can directly modify the simmrd source code so that the research community may arrive at a widely accepted framework for researchers to evaluate the performance of different MR methods.
孟德尔随机化(MR)已成为一种流行的工具,可用于推断风险因素对疾病的因果关系。目前有超过 45 种不同的方法可用于进行 MR,反映了这个极其活跃的研究领域。如果有一个标准的模拟环境来客观评估现有的和未来的方法,那将是很理想的。我们提出了 simmrd,这是一个用于执行模拟的开源软件,可在实践中遇到的各种场景中评估 MR 方法的性能。研究人员可以直接修改 simmrd 的源代码,以便研究界可以达成一个广泛接受的框架,让研究人员评估不同 MR 方法的性能。