在不同背景下对多基因分数进行校准的预测间隔
Kangcheng Hou1, Ziqi Xu2, Yi Ding1
1Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.
medRxiv : the preprint server for health sciences
|August 7, 2023
概括
多基因分数 (PGS) 在不同背景 (如年龄和性别) 中显示了可变的准确性. 调整预测间隔以适应这些背景,可确保对每个人的基因组预测可靠.
科学领域:
- 基因组学就是基因组学.
- 生物统计学 生物统计学
- 个性化医疗是个性化的医疗.
背景情况:
- 多基因分数 (PGS) 广泛用于各种领域的基因组预测.
- 现有的方法往往忽略了人口和环境环境如何影响PGS准确性.
结论:
- 考虑到背景的综合性方法对于公平利用PGS至关重要.
- 未来的研究设计和数据收集应该优先考虑详细的上下文信息.
- 这项工作使得在不同种群中基于PGS的特征预测更加可靠.
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