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突变还是单亲异构? 使用面向对象贝叶斯网络评估异常遗传模式

Eduardo Avila¹, Cássio Ritzel², Márcio Dorn³

¹Institute of Mathematics and Statistics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil; National Institute of Science and Technology - Forensic Science, Porto Alegre, RS, Brazil.

Forensic science international. Genetics

|February 25, 2026

概括

这项研究引入了一种新的贝叶斯网络模型来进行亲子测试,该模型解释了不寻常的遗传模式,如突变和单亲异构 (UPD). 它为父亲假设提供了准确的概率比率,改进了遗传亲属分析.

科学领域:

遗传学遗传学是一个
法医科学法医科学法医科学
生物统计学生物统计学

背景情况:

父亲测试传统上假设不兼容性是父性或由于突变.
单亲分裂症 (UPD) 越来越被认为是遗传遗传的一个因素.
现有的模型可能无法充分解决UPD等复杂的遗传模式.

研究的目的:

开发一个统计框架来测试父亲身份,包括突变事件和UPD.
创建一个面向对象的贝叶斯网络 (OOBN) 模型来评估父权三组结果.
在考虑非典型遗传的情况下,对父权假设进行统计评估概率比率 (LR).

主要方法:

使用GeNIe学术软件设计了一个OOBN模型.
在Python中使用pmgpy包开发了一个计算工具.
模拟了300万个父亲三人组,以测试该模型识别和区分突变和UPD的能力.

主要成果:

OOBN模型成功计算了LR值,准确地计算了突变和UPD事件.
该框架提供了无偏见的统计结果,不假设不兼容性的父系起源.
该模型可以根据遗传数据和种群频率估计突变和UPD的概率.

结论:

拟议的OOBN框架提供了一种可靠的父亲测试方法,特别是当差异表明异常继承时.
它通过包括UPD和突变事件来提高父权概率估计的准确性.
该计算工具可用于大数据集的可扩展处理,用于遗传亲属分析.

关键词:

贝叶斯网络是一个贝叶斯网络.概率比率的可能性比率.微卫星微卫星是什么意思突变突变是一种突变.面向对象的贝叶斯网络是面向对象的贝叶斯网络.测试父亲身份的测试.在STR中,STR是STR.一个单亲的异构.

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