The Promise of Mendelian Randomization in Parkinson's Disease: Has the Smoke Cleared Yet for Smoking and Parkinson's Disease Risk?

The Promise of Mendelian Randomization in Parkinson's Disease: Has the Smoke Cleared Yet for Smoking and Parkinson's Disease Risk?
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DOI:
10.3233/jpd-223188
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发表时间:
2022
影响因子:
5.2
通讯作者:
Kusters, Cynthia D. J.
Kusters, Cynthia D. J.
中科院分区:
医学3区
文献类型:
--
作者:
Ritz, Beate R.;Kusters, Cynthia D. J.

文献摘要

相似文献

本文讨论了在帕金森病(PD)研究中使用孟德尔随机化(MR)方法的优势和局限性。流行病学家建议使用MR时,遗传工具是可改变的终身暴露,逃避容易测量的晚发型疾病,如PD的研究代表可靠的代理。在这里,我们以吸烟为例。MR方法的巨大潜力在于它对混淆和反向因果关系的适应性。然而,这种方法也有一些缺点,如容易受到选择和生存偏倚的影响,它对所采用的遗传工具做出了一些强有力的假设,并且需要非常大的样本量。当仔细解释并将其纳入考虑遗传学和环境的其他研究的背景下时,MR研究不仅可以帮助我们提出有趣的问题,还可以支持因果推理并提供新的见解。
This commentary discusses the strengths and limitations of utilizing the Mendelian randomization (MR) approach in Parkinson’s disease (PD) studies. Epidemiologists proposed to employ MR when genetic instruments are available that represent reliable proxies for modifiable lifelong exposures which elude easy measurement in studies of late onset diseases like PD. Here, we are using smoking as an example. The great promise of the MR approach is its resilience to confounding and reverse causation. Nevertheless, the approach has some drawbacks such as being liable to selection- and survival-bias, it makes some strong assumptions about the genetic instruments employed and requires very large samples size. When interpreted carefully and put into the context of other studies that take both genetics and the environment into consideration, MR studies help us to not only ask interesting questions but also can support causal inference and provide novel insights.