将多基因风险评分方法应用于药物基因组学 GWAS:挑战和机遇
Song Zhai1, Devan V Mehrotra2, Judong Shen1
1Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ 07065, USA.
Briefings in bioinformatics
|December 28, 2023
概括
多基因风险评分 (PRSs) 在药物基因组学 (PGx) 中显示出希望,但面临挑战. 新方法利用PGx和疾病GWAS数据,提高PRS准确性并减少偏差,以便更好地预测药物反应.
科学领域:
- 基因组学就是基因组学.
- 药物基因组学 药物基因组学
- 统计遗传学 统计遗传学
背景情况:
- 多基因风险评分 (PRS) 越来越多地用于疾病预测.
- 将PRS应用于药物基因组学 (PGx) 提供了患者分层和药物反应预测的潜力.
- 在PGx PRS中存在独特的挑战,包括基础队列选择,小样本大小和复杂的建模.
研究的目的:
- 在PGx GWAS中系统审查PRS应用和方法开发.
- 提出PRS构建和PGx偏差减少的新策略.
- 为了应对将PRS应用于PGx GWAS的挑战.
主要方法:
- 在PGx GWAS文献中对PRS进行系统审查.
- 开发一种新的PRS应用策略,使用结合的PGx和疾病GWAS数据.
- 引入一种新的贝叶斯方法 (PRS-PGx-Bayesx) 来减轻预测偏差.
主要成果:
- 系统审查确定了PGx PRS的关键趋势,挑战和缺口.
- 模拟表明了拟议的PRS策略和贝叶斯方法的优势.
- 新方法在PGx环境中显示出比现有的PRS方法更好的性能.
结论:
- 目前的PRS方法需要适应有效的PGx应用程序.
- 利用多样化的GWAS数据和先进的统计建模可以克服PGx PRS的挑战.
- 提出的方法为更准确和公平的PGx PRS提供了解决方案.
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