开发抑郁症风险预测模型,将遗传和早期生命风险因素结合起来
Tianyuan Lu1, Patrícia Pelufo Silveira2,3, Celia M T Greenwood1,4,5,6
1Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Frontiers in neuroscience
|August 3, 2023
概括
我们制定了抑郁症的多基因风险评分,发现它与早期生活逆境有中等的关联. 结合遗传和环境因素的联合模型改善了抑郁风险预测,有助于识别高风险个体.
科学领域:
- 精神病学是一个精神病学.
- 遗传学 是一个遗传学.
- 流行病学 流行病学
背景情况:
- 成人抑郁症的发病包括遗传和早期生命风险因素.
- 这些因素的相互作用和联合预测价值仍然不清楚.
研究的目的:
- 开发和验证抑郁症的多基因风险评分 (PRS).
- 评估PRS与早期生命风险因素的相关性.
- 评估联合预测模型,结合PRS和早期生活因素来评估抑郁风险.
主要方法:
- 利用了对抑郁症全基因组关联研究的大量元分析.
- 在英国生物库数据中使用LDpred优化PRS.
- 在单独的英国生物银行队列中测试了PRS和早期生命因素的关联和预测性表现.
主要成果:
- PRS与家庭暴力和缺乏儿童医疗护理等早期生活逆境有中等联系.
- PRS与抑郁症表型的关联比大多数早期生活因素更强.
- 一个联合预测模型 (PRS,早期生活因素,年龄,性别) 为主要抑郁障碍实现了0.6766的AUROC,超过了仅使用PRS或早期生活因素的模型.
结论:
- 一个PRS可以捕捉抑郁症的遗传责任.
- 结合遗传和早期生命风险因素的联合预测模型为抑郁症提供了改善的,尽管适度的风险分层.
- 这些模型可以提高对抑郁症高风险个体的识别.
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