一个乳腺癌多基因风险评分验证在15,490名巴西人使用外体序列测序
Flávia Eichemberger Rius1,2, Rodrigo Santa Cruz Guindalini3, Danilo Viana1
1Mendelics, Sao Paulo 02511-000, SP, Brazil.
Diagnostics (Basel, Switzerland)
|May 14, 2025
概括
乳腺癌 (BC) 风险预测的多基因风险得分 (PRS) 在巴西混合人口中进行了评估. PRS3820表现最好,为巴西的BC精准医学提供了一个有前途的工具.
科学领域:
- 遗传学 是一个遗传学.
- 在瘤学瘤学.
- 人口健康 人口健康
背景情况:
- 多基因风险评分 (PRS) 对于疾病风险预测至关重要,但通常缺乏在不同人群中的验证.
- 巴西高度混合的人口为应用在欧洲队伍中开发的PRS带来了独特的挑战.
- 评估PRS对巴西乳腺癌 (BC) 风险的实用性对于个性化医学至关重要.
研究的目的:
- 评估四种不同的多基因风险评分 (PRS) 在巴西队列中预测乳腺癌 (BC) 风险的性能.
- 确定在具有显著基因混合的人口中对风险分层进行最有效的PRS.
主要方法:
- 在排除具有高透突变的个体后,分析了5598个BC病例和8767个对照的巴西队列.
- 基因组变异从外体数据中算出,以计算所有参与者的PRS值.
- 四种不同的PRS模型进行了比较,以确定它们的预测准确性.
主要成果:
- PRS3820表现最好,赔率比 (OR) 为每标准偏差增加1.43和OR为1.88的顶部十进制.
- 在巴西队伍中,PRS3820在不同祖先群体中表现一致.
- PRS313也显示了验证,但PRS3820表现出优越的预测能力.
结论:
- PRS3820是巴西人口乳腺癌风险预测的验证和有效工具.
- 这项研究代表了在巴西实施乳腺癌精准医学方面的重大进展.
- 建议进行进一步的临床验证,以指导PRS在临床实践中的整合.
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