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“孟德尔随机化”:遗传流行病学能否有助于理解疾病的环境决定因素?

'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

作者信息

Smith George Davey, Ebrahim Shah

机构信息

University of Bristol, Department of Social Medicine, Canynge Hall, Whiteladies Road, Bristol BS8 2PR, UK.

出版信息

Int J Epidemiol. 2003 Feb;32(1):1-22. doi: 10.1093/ije/dyg070.

Abstract

Associations between modifiable exposures and disease seen in observational epidemiology are sometimes confounded and thus misleading, despite our best efforts to improve the design and analysis of studies. Mendelian randomization-the random assortment of genes from parents to offspring that occurs during gamete formation and conception-provides one method for assessing the causal nature of some environmental exposures. The association between a disease and a polymorphism that mimics the biological link between a proposed exposure and disease is not generally susceptible to the reverse causation or confounding that may distort interpretations of conventional observational studies. Several examples where the phenotypic effects of polymorphisms are well documented provide encouraging evidence of the explanatory power of Mendelian randomization and are described. The limitations of the approach include confounding by polymorphisms in linkage disequilibrium with the polymorphism under study, that polymorphisms may have several phenotypic effects associated with disease, the lack of suitable polymorphisms for studying modifiable exposures of interest, and canalization-the buffering of the effects of genetic variation during development. Nevertheless, Mendelian randomization provides new opportunities to test causality and demonstrates how investment in the human genome project may contribute to understanding and preventing the adverse effects on human health of modifiable exposures.

摘要

在观察性流行病学中,尽管我们尽最大努力改进研究设计和分析,但可改变的暴露因素与疾病之间的关联有时仍会受到混杂影响,从而产生误导。孟德尔随机化——在配子形成和受孕过程中基因从父母向后代的随机分配——提供了一种评估某些环境暴露因果性质的方法。疾病与模拟拟暴露因素和疾病之间生物学联系的多态性之间的关联,通常不易受到可能扭曲传统观察性研究解释的反向因果关系或混杂因素的影响。文中描述了几个多态性表型效应有充分记录的例子,这些例子为孟德尔随机化的解释力提供了令人鼓舞的证据。该方法的局限性包括与所研究多态性处于连锁不平衡状态的多态性造成的混杂、多态性可能具有与疾病相关的多种表型效应、缺乏用于研究感兴趣的可改变暴露因素的合适多态性,以及发育过程中对遗传变异效应的缓冲作用——遗传稳态。尽管如此,孟德尔随机化为检验因果关系提供了新机会,并展示了人类基因组计划的投入如何有助于理解和预防可改变暴露因素对人类健康的不利影响。

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