跨种群的多基因预测受到祖先,遗传架构和方法论的影响
Ying Wang1,2, Masahiro Kanai1,2,3,4, Taotao Tan5
1Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Cell genomics
|October 23, 2023
概括
多祖先多基因风险评分 (PRS) 在多种不同的人群中通常优于单祖先PRS. 整合本地祖先数据可以提高PRS在非洲祖先的表现.
科学领域:
- 遗传学 遗传学 是一个
- 基因组学就是基因组学.
- 人口遗传学 人口遗传学
背景情况:
- 多基因风险评分 (PRS) 对于预测疾病风险至关重要.
- 由于基因组研究偏见,当前的PRS经常显示祖先种群之间的性能差异.
- 多祖先全基因组关联研究 (GWASs) 提供了一条通往更公平的PRS的道路.
研究的目的:
- 为了评估多祖先PRS (PRS_multi) 与单祖先PRS (PRS_single) 的性能.
- 确定影响PRS_multi在不同人群中的表现的因素.
- 为从各种基因组数据中开发强大的PRS提供指导.
主要方法:
- 进行了广泛的模拟,以在各种场景下模拟PRS性能.
- 经验分析利用现有的GWAS数据来验证模拟结果.
- 调查了多祖先GWAS中人口比例的影响以及当地祖先信息的整合.
主要成果:
- 在未经研究的人群中,PRS_multi通常表现优于PRS_single.
- 当未被研究的群体是多祖先GWAS的一小部分时,PRS_multi的性能优势会减少.
- 将当地祖先信息的GWAS与欧洲的PRS集成,提高了非洲人口的预测准确性,特别是复杂的特征.
结论:
- 多元化基因组研究对于在所有祖先群体中实现公平的PRS表现至关重要.
- PRS_multi显示了更好的概括性,但需要仔细考虑研究组成.
- 结合祖先信息和大规模PRS,为增强代表性不足人群的预测能力提供了一个有希望的策略.
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