多基因分数中隐藏的结构以及在混合种群中解开祖先相互作用的挑战
Alan J Aw1, Ravi Mandla1, Zhuozheng Shi1
1Department of Genetics, Perelman School of Medicine, University of Pennsylvania.
bioRxiv : the preprint server for biology
|July 9, 2025
概括
跨祖先的遗传相互作用可以影响多基因分数的可移植性. 使用混合个体的新模型揭示了基因祖先相互作用,即使具有相似的平均遗传效应,也提高了预测准确度.
科学领域:
- 人类遗传学 人类遗传学
- 人口遗传学 人口遗传学
- 基因组预测 基因组预测
背景情况:
- 跨祖先的遗传效应变异对于多基因预测至关重要.
- 虽然平均因果效应看起来相似,但基因祖先相互作用可能会阻碍多基因得分的可移植性.
- 混合个体为研究基因与祖先相互作用提供了一个独特的资源.
研究的目的:
- 开发与本地和全球祖先的遗传相互作用模型.
- 调查这些模型如何影响多基因预测的准确性.
- 为了澄清平均因果关系和基因祖先相互作用之间的关系.
主要方法:
- 在混合个体中利用祖先马赛克主义.
- 开发本地和全球基因祖先相互作用的模型.
- 在祖先特定的细分上利用部分多基因分数来确定连续的特征.
主要成果:
- 模型捕捉了表观,并且与类似的平均因果效应一致.
- 基因与祖先的相互作用是可能的,即使平均效应相似.
- 区分本地和全球模型需要已知的因果变异和不同的祖先效应;否则,链接不平衡会混分析.
结论:
- 平均因果效应的相似性并不排除基因与祖先的相互作用.
- 由于链接不平衡,在没有因果变异信息的情况下,区分相互作用模型是具有挑战性的.
- 这些发现支持开发针对个体遗传风险预测的模型敏感策略.
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