Population-specific genetic differences of acute coronary syndrome in Han and Uyghur Chinese.
作者信息
Lai Hongmei, Zhu Jinhang, Tao Jing, Guo Zitong, Yu Xiaolin, Shen Xin, Wang Ting, Wang Ying, Cai Huan, Cai Xiao, Wei Zhenbang, Yang Yining
机构信息
The Cardiac and Panvascular Medicine Diagnosis and Treatment Center, People's Hospital of Xinjiang Uyghur Autonomous Region, Xinjiang, China.
Xinjiang Key Laboratory of Cardiovascular Homeostasis and Regeneration Research, Xinjiang, China.
出版信息
Front Pharmacol. 2025 Aug 15;16:1588658. doi: 10.3389/fphar.2025.1588658. eCollection 2025.
BACKGROUND
Acute coronary syndrome (ACS) is a critical cardiovascular condition with diverse clinical presentations, necessitating personalized therapeutic approaches. This study explores the genetic variation associated with ACS subtypes in the Han and Uyghur Chinese populations to support the development of precision medicine approaches tailored to ethnic-specific genetic backgrounds.
METHODS
A total of 985 ACS patients (668 Han and 317 Uyghur Chinese) representing different ACS subtypes were enrolled. Clinical characteristics and 66 genetic polymorphisms were analyzed. Statistical analyses were conducted to identify differences in genetic variants and clinical features across ACS subtypes and ethnic groups.
RESULTS
Significant clinical and genetic differences were observed between ACS subtypes and between ethnic groups. In the Han population, polymorphisms in and were significantly associated with ACS subtypes ( ≤ 0.05). In the Uyghur population, six genes-, , , , , and -showed significant associations ( ≤ 0.05). These findings indicate distinct genetic landscapes across the two ethnic groups. Furthermore, population-specific associations between genetic variants and artery narrowing were identified. Predictive models integrating clinical and genetic features achieved an area under the curve (AUC) of 0.832 [95% confidence intervals (CI): 0.774-0.889] in Uyghur patients and 0.674 (95% CI: 0.626-0.722) in Han patients, indicating a higher internal AUC of these genetic markers in the Uyghur population.
CONCLUSION
This study highlights ethnic differences in the genetic architecture of ACS. The result also underscores the need for population-specific strategies in risk stratification and treatment. The identified genetic markers and predictive models may guide future research on ethnicity-specific risk stratification.
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