评估心血管疾病风险分层使用多重多基因风险得分和聚合队列方程:从17年的朝鲜纵向队列研究的见解
Yi Seul Park1, Hye-Mi Jang1, Ji Hye Park1
1Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea.
Frontiers in genetics
|April 12, 2024
概括
将遗传风险得分与临床评估相结合,可以改善心血管疾病 (CVD) 风险分层. 这种方法有助于识别高风险个体,以制定个性化预防策略.
科学领域:
- 遗传学 是一个遗传学.
- 心脏病学 心脏病学
- 公共卫生 公共卫生
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 遗传和环境因素有助于心血管疾病的发展.
- 准确的风险预测对于有效的心血管疾病预防至关重要.
研究的目的:
- 评估多多基因风险评分 (wPRSsum) 和聚合队列方程 (PCE) 的联合有效性,以预测韩国人的心血管疾病风险.
- 评估遗传信息对传统临床风险因素的附加值.
主要方法:
- 在17年内对7612名韩国人的长度研究.
- 使用PRS-CS.计算多基因风险得分的加权总和 (wPRSsum).
- 再校准和应用聚合队列方程 (PCE).
- 使用考克斯比例危险模型和卡普兰-梅尔分析进行分析.
主要成果:
- wPRSsum显示出与发生心血管疾病的显著关联 (HR=1.15).
- 在前20%的高风险遗传组中,HR为1.50.
- 结合wPRSsum和PCE增强了心血管疾病风险分层,特别是在高风险人群中 (HR=4.99).
- 预测模型显示,55岁以下的男性略有改善 (C指数=0.640).
结论:
- 将多多基因风险评分与PCE等临床工具相结合,可以提高心血管疾病风险分层.
- 这种综合方法对于识别高风险个人以进行个性化心血管疾病预防是有价值的.
- 这些发现支持在不同人群中针对心血管疾病管理的量身定制策略.
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