多基因分数和社会经济地位对预测19种复杂疾病风险的影响
Fiona A Hagenbeek1, Anne Richmond2, Max Tamlander1
1Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
medRxiv : the preprint server for health sciences
|September 15, 2025
概括
社会经济因素和遗传倾向影响疾病风险. 高等教育降低了许多疾病的风险,但增加了癌症的风险,遗传因素发挥了独特的作用.
科学领域:
- 遗传学 是一个遗传学.
- 流行病学 流行病学
- 社会学 社会学 社会学
背景情况:
- 疾病风险受到社会经济地位 (SES) 和遗传因素的影响.
- 关于SES和遗传学对各种疾病风险的综合影响仍未得到充分研究.
研究的目的:
- 系统地检查社会经济环境和遗传倾向对19种高负担疾病风险的共同贡献.
- 研究不同祖先的教育程度,多基因分数 (PGS) 和疾病风险之间的相互作用.
主要方法:
- 分析了来自FinnGen,英国生物银行和苏格兰一代队伍的743,194名参与者的数据.
- 使用教育程度作为主要的社会经济衡量标准和疾病特异性多基因分数 (PGS).
- 评估了教育和PGS对19种疾病的独立和联合预测能力.
主要成果:
- 更高的教育程度与大多数疾病的风险降低相关,但增加了常见癌症的风险,在很大程度上独立于PGS.
- 对于七种疾病,PGS在受过高等教育的人群中表现出更强烈的效果.
- 教育和PGS的联合建模为大多数研究条件的疾病预测提供了适度的改善.
结论:
- 社会经济因素和遗传倾向在塑造疾病风险方面有着不同的,但部分互动的作用.
- 教育成就对疾病风险的影响很大,但在不同的人口中显示出不同的稳定性.
- 整合社会经济和遗传信息可以增强疾病风险预测模型.
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