Regression modelCausal
孟德尔随机化
孟德尔随机化（Mendelian randomization）是一种利用遗传变异作为工具变量来估计暴露对结局的因果效应的方法。该方法由George Davey Smith于20世纪90年代提出，利用孟德尔遗传定律来消除混杂偏倚，已成为流行病学因果推断的基石技术。
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来源
- Davey Smith, G., & Hemani, G. (2014). Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Human Molecular Genetics, 23(R1), R89-R98. DOI: 10.1093/hmg/ddu328 ↗
- Hemani, G., Bowden, J., & Davey Smith, G. (2018). Evaluating the potential role of pleiotropy in Mendelian randomization studies. European Journal of Epidemiology, 33(9), 867-876. DOI: 10.1093/hmg/ddy163 ↗
- Morrison, J., Knoblauch, N., Marcus, J. H., Stephens, M., & He, X. (2020). Mendelian randomization accounting for sample overlap. Nature Communications, 11(1), 574. link ↗
如何引用本页
ScholarGate. (2026, June 3). Mendelian Randomization Analysis. ScholarGate. https://scholargate.app/zh/causal-inference/mendelian-randomization
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