Improving polygenic score prediction for coronary artery disease across populations of diverse ancestry.
Improving polygenic score prediction for coronary artery disease across populations of diverse ancestry.
复制标题
改善不同血统人群冠状动脉疾病的多基因评分预测。
DOI：
10.1038/s41591-023-02451-z
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发表时间：
2023
期刊：
影响因子：
82.9
通讯作者：
中科院分区：
文献类型：
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作者：
全基因组多基因评分通过整合许多常见 DNA 变异的信息来量化遗传风险，并为实现个性化医疗带来了巨大的希望。通过整合来自比过去使用的更大、更多样化的遗传数据集的冠状动脉疾病 (CAD) 和 CAD 相关风险特征的信息，我们开发了一种改进的 CAD 多祖先多基因预测器。
Genome-wide polygenic scores quantify inherited risk by integrating information from many common DNA variants and hold considerable promise for enabling personalized medicine. By integrating information on coronary artery disease (CAD) and CAD-related risk traits from genetic datasets that were larger and more diverse than those used in the past, we developed an improved multi-ancestry polygenic predictor for CAD.