双向门德尔随机化和多现象型GWAS显示抑郁症和2型糖尿病之间的因果关系和共享病理生理学
Jared G Maina1,2, Zhanna Balkhiyarova3,4,5, Arie Nouwen6
1INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
抑郁症因果性地增加了2型糖尿病的风险,BMI中介了这一影响的很大一部分. 预防抑郁和控制体重是控制这种并发症的关键.
科学领域:
- 遗传学 是一个遗传学.
- 代谢障碍 代谢障碍 代谢障碍
- 精神病学是一个精神病学.
背景情况:
- 抑郁症和2型糖尿病经常同时发生.
- 了解因果关系和共同的遗传基础对于有效的管理至关重要.
研究的目的:
- 调查抑郁症和2型糖尿病之间的因果关系.
- 识别导致两种疾病的共同遗传因素.
主要方法:
- 两个样本,双向门德尔随机化 (MR) 来评估因果关系.
- 调解分析的两步MR. 调解分析.
- 使用英国生物库数据进行全基因组关联研究 (GWAS) 和多现象型GWAS (MP-GWAS).
- 表达式定量特征位置 (eQTL) 分析.
主要成果:
- 抑郁症因果上增加了2型糖尿病的风险 (OR 1.26).
- 身体质量指数 (BMI) 介导了36.5%的抑郁症到2型糖尿病的影响.
- MP-GWAS确定了七个共享的基因位置,包括参与细胞周期和胰岛素信号传递的基因.
- 大型抑郁症 (MDD) 在GWAS中没有显著的关联.
结论:
- 抑郁症是2型糖尿病的重要危险因素.
- 保持健康的体重对于患有抑郁症和2型糖尿病的人来说很重要.
- 针对共享的遗传机制可能提供新的治疗策略.
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