孟德尔随机化和研究

Anthony Lockett
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引用次数: 0

摘要

孟德尔随机化是一种利用遗传变异来克服观察性研究的混杂因素的分析方法。孟德尔随机化分析要想有效,几个假设必须成立:基因变异与暴露有关;变异和结果之间没有混淆关系;变异的影响与结果无关。假设满足这些假设,孟德尔随机化是确定因果关系的一个有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mendelian randomization and studies
Mendelian randomization is an analytical method that uses genetic variants to overcome the confounding factors of observational studies. For Mendelian randomization analysis to be valid, several assumptions must be true: that genetic variants are associated with exposure; that there is no confounding relationship between the variant and the outcome; and that there are no effects of the variant independent of the outcome. Assuming these assumption are met, Mendelian randomization is a valuable tool in determining causality.
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