韩国人群中多特征多基因风险评分与肥胖和心脏代谢疾病的关联
Jinyeon Jo1, Nayoung Ha1, Yunmi Ji2
1Department of Public Health Sciences, Graduate school of Public Health, Seoul National University, Seoul 08826, Republic of Korea.
Genomics, proteomics & bioinformatics
|November 9, 2025
概括
这项对93,673名韩国人的遗传研究揭示了共同的遗传因素,这些因素将肥胖与诸如高血压和2型糖尿病等相关疾病联系起来. 多特征多基因风险评分有效预测不同人群的疾病风险.
科学领域:
- 遗传学 遗传学 是一个
- 代谢疾病 代谢疾病
- 人口健康 人口健康
背景情况:
- 肥胖是一种复杂的疾病,具有重要的遗传基础.
- 了解肥胖及其伴随疾病的遗传结构对于公共卫生至关重要.
- 以前的研究往往缺乏大型,祖先特定的队列.
研究的目的:
- 在一个大规模的韩国队列中对肥胖进行全面的遗传调查.
- 探索肥胖及其相关的并发症的遗传结构.
- 评估单特征和多特征多基因风险评分 (PRS) 对风险分层的有用性.
主要方法:
- 在93,673名韩国人中进行全基因组关联研究 (GWAS).
- 使用单特征和多特征模型 (包括PRSsum) 构建多基因风险得分 (PRS).
- 基因相关性,遗传性和基因与环境相互作用的分析.
主要成果:
- 确定了与肥胖相关的全基因组显著位置.
- 对于一般与腹部和中度与重度肥胖的表现较高的遗传性.
- 在东亚人中观察到腹部肥胖和相关疾病之间的更强烈的遗传相关性.
- 两种PRS模型都根据肥胖,高血压和2型糖尿病的风险对个人进行了分层.
- 多种特征的PRS模型显示了增强的风险预测.
结论:
- 关键的遗传位置和共同的机制将韩国人口中的肥胖和并发症联系在一起.
- 多特征PRS模型提供了改进的风险分层和预测.
- 对祖先特定的遗传研究对于应对肥胖流行病至关重要.
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