基因组评分方法的比较,用于对结核病基因签名的可重复性评估
Xutao Wang1,2, Arthur VanValkenberg3, Aubrey R Odom2
1Department of Biostatistics, Boston University, Boston, MA, USA.
BMC infectious diseases
|June 20, 2024
概括
基因组得分方法可以使用血液基因签名准确预测结核病 (TB),表现和原始模型一样好,甚至比原始模型更好. 这简化了结核病诊断和风险预测,特别是当原始模型无法使用时.
科学领域:
- 生物标志物 生物标志物
- 基因组学就是基因组学.
- 传染病诊断 传染病诊断 传染病诊断
背景情况:
- 基于血液的转录基因签名显示出结核病 (TB) 诊断的前景.
- 仅仅将基因组丰富分析与结核病特征原始模型进行比较是具有挑战性的,因为数据有限.
研究的目的:
- 为了比较基因组得分方法与19个TB基因签名的原始模型的性能.
- 为了确定基因组得分是否足以进行结核病预测和差异化.
主要方法:
- 在24个数据集中评估了19个TB基因签名,使用重建的原始模型和基因组分数方法 (ssGSEA,GSVA,PLAGE,Singscore,Zscore).
- 使用ROC曲线下的面积 (AUC) 评估性能,并通过相关性分析和Wilcoxon配对测试比较方法.
主要成果:
- 基因组得分方法显示了许多签名的高相关性和统计等效性与原始模型.
- 在AUC方面,PLAGE方法偶尔会超过原始模型的性能.
结论:
- 基因组丰富得分有效地将活性结核病与其他疾病区分开来,与原始模型的准确性相匹配或超过.
- 这些发现支持使用基因组对结核病基因签名的评分方法来预测结核病风险和治疗结果,特别是当原始模型无法获得时.
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