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SIRE 2.0:一种用于估计感染性疾病传播的多基因宿主效应的新方法,以及用于预测准确度的分析表达式
Christopher M Pooley1,2, Glenn Marion3, Jamie Prentice4
1Biomathematics and Statistics Scotland, James Clerk Maxwell Building, The King's Buildings, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK. chris.pooley@bioss.ac.uk.
Genetics, selection, evolution : GSE
|April 1, 2025
概括
新的软件SIRE 2.0估计了动物疾病特征的多基因效应,如易感性,传染性和可恢复性. 该工具有助于选择具有抗病能力的动物,改善养殖动物的健康.
科学领域:
- 动物遗传学 动物遗传学
- 流行病学 流行病学
- 定量遗传学 是一种定量遗传学.
背景情况:
- 基因选择可以减少养殖动物感染性疾病的影响.
- 现有的方法 (SIRE 1.0) 估计单基因的遗传效应,而不是多基因的控制.
- 对多基因参数缺乏计算工具,阻碍了疾病耐药性选择.
研究的目的:
- 介绍新的贝叶斯方法和SIRE 2.0软件.
- 估计多基因对宿主易感性,感染性和可恢复性的贡献.
- 为预测准确性提供分析表达式.
主要方法:
- 贝叶斯的方法用于估计多基因效应 (变异成分,附加遗传效应).
- 使用具有已知的血统或基因组关系的时间流行病数据.
- 分析表达式的导出用于预测准确度.
主要成果:
- SIRE 2.0 估计了多基因对疾病特征的贡献.
- 预测的准确性取决于遗传/表型变异和个体关系.
- 传染性预测的准确性是敏感的接触小组大小.
- 遗传相关性提高了预测准确度;不完整的数据影响很小.
结论:
- 从个人记录中,SIRE 2.0 估计了宿主疾病特征的遗传参数.
- 在疾病传播中的多基因效应方面,SIRE 2.0扩展了SIRE 1.0.
- 能够对疾病动态中的遗传决定因素进行新的分析.
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