生命银行
多基因风险评分
现象
汉族
精密医学
人类遗传变异
疾病
人类遗传学
生物
遗传谱系
人口学
遗传变异
遗传学
医学遗传学
个性化医疗
基因组学
医学
中国人
进化生物学
基因组医学
遗传变异
风险评估
基因检测
数据科学
电子健康档案
生物信息学
梅德林
作者
Hung‐Hsin Chen,Chien-Hsiun Chen,Ming‐Chih Hou,Yun‐Ching Fu,Ling‐Hui Li,Che-Yu Chou,Erh‐Chan Yeh,Ming-Fang Tsai,Chun‐Houh Chen,Hsin‐Chou Yang,Yen‐Tsung Huang,Yi-Min Liu,Chun-Yu Wei,Jen-Ping Su,Wan-Jia Lin,Elin H. F. Wang,Chi‐Lu Chiang,Jeng‐Kai Jiang,I‐Hui Lee,Kung-Hao Liang
出处
期刊:Nature
[Nature Portfolio]
日期:2025-10-15
卷期号:648 (8092): 128-137
被引量:10
标识
DOI:10.1038/s41586-025-09350-y
摘要
Predicting complex disease risks on the basis of individual genomic profiles is an advancing field in human genetics1,2. However, most genetic studies have focused on populations of European ancestry, creating a global imbalance in precision medicine and underscoring the need for genomic research in non-European groups3,4. The Taiwan Precision Medicine Initiative recruited more than half a million Taiwanese residents, providing a large dataset of genetic profiles and electronic medical record data for people with Han Chinese ancestry. Using extensive phenotypic data, we conducted comprehensive genomic analyses across the medical phenome with individuals genetically similar to Han Chinese reference populations. These analyses identified population-specific genetic risk variants and new findings for various complex traits. We developed polygenic risk scores, demonstrating strong predictive performance for conditions such as cardiometabolic diseases, autoimmune disorders, cancers and infectious diseases. We observed consistent findings in an independent dataset, Taiwan Biobank, and among people of East Asian ancestry in the UK Biobank and the All of Us Project. The identified genetic risks accounted for up to 10.3% of the overall health variation in the Taiwan Precision Medicine Initiative cohort. Our approach of characterizing the phenome-wide genomic landscape, developing population-specific risk-prediction models, assessing their performance and identifying the genetic effect on health serves as a model for similar studies in other diverse study populations.
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