将全基因组关联研究与精神疾病的药理疗法联系起来
Aurina Arnatkeviciute1, Alex Fornito1, Janette Tong1
1The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
JAMA psychiatry
|December 11, 2024
概括
全基因组关联研究 (GWAS) 和针对精神疾病的药物标显示了有限的重叠. 生物信息学分析表明不同的遗传和治疗机制,需要新的药物开发方法.
科学领域:
- 精神病学遗传学 精神病学遗传学
- 药物基因组学 药物基因组学
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组关联研究 (GWAS) 确定与疾病风险相关的遗传变异.
- 药理疗法针对特定的病理生理机制.
- 在精神疾病中,GWAS发现与药物标之间的对齐仍然不清楚.
研究的目的:
- 使用生物信息学数据,研究GWAS识别的遗传变异与精神疾病的药物标之间的关系.
- 要确定来自开放数据集的功能信息是否可以阐明这种关系.
主要方法:
- 检查了4种精神疾病:多动症,双相情感障碍,精神分裂症和严重抑郁症.
- 评估了2232个药物向基因与GWAS相关的单核酸变体 (SNV) 相比,使用4种数据模式:SNV位置,蛋白与蛋白相互作用 (PPI) 网络距离,表达量化特征位置 (eQTL) 和基因表达.
- 对药物标和GWAS基因的基因评分进行了比较,使用加权相似性和零假设测试框架.
主要成果:
- 使用PPI网络数据 (P-perm = 7x10-4) 发现双相情感障碍存在显著联系.
- 治疗目标和GWAS基因之间的总体对应性在精神疾病中是最小的,很少超过零期望.
- 探索性分析显示,对于大多数疾病对和映射方法,GWAS遗传架构和治疗目标之间没有显著的对应.
结论:
- 精神疾病的遗传结构可能与当前药物治疗的病理生理机制不同.
- 这表明需要新的方法,例如从GWAS中整合精细的表型,以更好地将疾病风险基因映射到治疗中.
- 未来的研究应该专注于整合不同的数据模式,以弥合遗传发现和治疗目标之间的差距.
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