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Updated: May 14, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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门德尔随机化的潜在结果变量方法,使用随机期望最大化算法

Lamessa Dube Amente1,2,3,4, Natalie T Mills5, Thuc Duy Le6

  • 1Australian Centre for Precision Health, University of South Australia, Adelaide, SA, 5000, Australia. lamessa.amente@mymail.unisa.edu.au.

Human genetics
|April 11, 2025
PubMed
概括

这项研究引入了一种新的门德尔随机化 (MR) 方法,通过解开类效应来改善因果推理. 新方法可以更好地控制I型错误率和偏差,提供更强大的遗传混分析.

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