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Mendelian randomization: using genes as instruments for making causal inferences in epidemiology.

机译:孟德尔随机化:使用基因作为在流行病学中进行因果推断的工具。

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摘要

Observational epidemiological studies suffer from many potential biases, from confounding and from reverse causation, and this limits their ability to robustly identify causal associations. Several high-profile situations exist in which randomized controlled trials of precisely the same intervention that has been examined in observational studies have produced markedly different findings. In other observational sciences, the use of instrumental variable (IV) approaches has been one approach to strengthening causal inferences in non-experimental situations. The use of germline genetic variants that proxy for environmentally modifiable exposures as instruments for these exposures is one form of IV analysis that can be implemented within observational epidemiological studies. The method has been referred to as 'Mendelian randomization', and can be considered as analogous to randomized controlled trials. This paper outlines Mendelian randomization, draws parallels with IV methods, provides examples of implementation of the approach and discusses limitations of the approach and some methods for dealing with these.
机译:观察流行病学研究遭受许多潜在的偏见,混杂因素和反向因果关系,这限制了它们有效地确定因果关系的能力。存在几种引人注目的情况,在观察性研究中已经对完全相同的干预措施进行的随机对照试验产生了明显不同的发现。在其他观察科学中,使用工具变量(IV)方法已成为一种在非实验情况下加强因果推理的方法。替代环境可暴露的种系的遗传变异作为这些暴露的手段的使用是可以在观察流行病学研究中实施的IV分析的一种形式。该方法被称为“孟德尔随机化”,可以被认为类似于随机对照试验。本文概述了孟德尔随机化方法,与IV方法进行了比较,提供了该方法的实现示例,并讨论了该方法的局限性以及一些解决方法。

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