在南亚人体质量指数的全基因组多基因分数的验证
Ramesh Menon1, Nikhat Khan2, Sandeep Charugulla1
1MedGenome Labs Pvt. Ltd., Bengaluru, Karnataka, India.
Frontiers in genetics
|September 19, 2025
概括
在白人中验证的肥胖多基因风险评分 (PRS) 显示,高PRS与南亚人体质指数 (BMI) 的增加有关. 这表明PRS可以预测这个人群中的超重和肥胖风险.
科学领域:
- 遗传学 是一个遗传学.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 肥胖是一个复杂的健康问题,受遗传,环境和生活方式的影响.
- 在过去的三十年里,印度的成人超重和肥胖率大幅上升.
- 多基因风险评分 (PRS) 量化了对常见疾病的遗传倾向,但肥胖PRS需要在不同人群中进行验证.
研究的目的:
- 为了对南亚 (SAS) 人群中肥胖的全基因组多基因风险评分 (PRS) 模型进行基因组基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因基因.
- 评估南亚队列中PRS和身体质量指数 (BMI) 分类之间的关联.
- 评估PRS对南亚人超重和肥胖的预测潜力.
主要方法:
- 分析了来自三个不同的南亚队伍的14,263个人.
- 使用210万个变体对肥胖现有的全基因组PRS模型进行基准测试和验证.
- 普尔斯与BMI类别 (体重不足,正常,超重,肥胖) 的对比.
主要成果:
- 高PRS与所有三个南亚队列的BMI增加显著相关.
- 验证结果与BMI的另一种特定人群PRS模型进行了比较.
- 在研究的SAS人群中,PRS模型显示出与较高的BMI有着一致的关联.
结论:
- 高多基因风险得分与南亚人群的高体重指数有关.
- 经过验证的PRS模型显示,它有可能成为南亚人超重和肥胖的早期预测因素.
- 需要进一步的研究来完善PRS的不同种族群体,包括南亚人.
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