Department of Neurology, Emory University School of Medicine, Atlanta, Georgia.
Department of Biochemistry, Emory University School of Medicine, Atlanta, Georgia.
Biol Psychiatry. 2022 Jul 1;92(1):25-33. doi: 10.1016/j.biopsych.2021.11.025. Epub 2021 Dec 16.
Depression has been associated with a higher risk of Alzheimer's disease (AD) in several prospective studies; however, mechanisms underlying this association remain unclear.
We examined genetic correlation between depression and AD using linkage disequilibrium score regression. We then tested for evidence of causality between depression and AD using Mendelian randomization and genome-wide association study results. Subsequently, cis and trans quantitative trait locus analyses for the depression genome-wide association study signals were performed to resolve the genetic signals to specific DNA methylation sites, brain transcripts, and proteins. These transcripts and proteins were then examined for associations with AD and its endophenotypes. Finally, the associations between depression polygenic risk score and AD endophenotypes were examined.
We detected a significant genetic correlation between depression and AD, suggesting that they have a shared genetic basis. Furthermore, we found that depression had a causal role in AD through Mendelian randomization but did not find evidence for a causal role of AD on depression. Moreover, we identified 75 brain transcripts and 28 brain proteins regulated by the depression genome-wide association study signals through quantitative trait locus analyses. Of these, 46 transcripts and seven proteins were associated with rates of cognitive decline over time, AD pathologies, and AD diagnosis in two separate cohorts, thus implicating them in AD. In addition, we found that a higher depression polygenic risk score was associated with a faster decline of episodic memory over time.
Depression appears to have a causal role in AD, and this causal relationship is likely driven, in part, by the 53 brain transcripts and proteins identified in this study.
多项前瞻性研究表明,抑郁与阿尔茨海默病(AD)的风险增加相关;然而,这种关联的机制仍不清楚。
我们使用连锁不平衡评分回归来检查抑郁与 AD 之间的遗传相关性。然后,我们使用孟德尔随机化和全基因组关联研究结果来测试抑郁与 AD 之间是否存在因果关系。接下来,我们对抑郁全基因组关联研究信号进行顺式和反式数量性状基因座分析,以将遗传信号解析为特定的 DNA 甲基化位点、脑转录本和蛋白质。然后检查这些转录本和蛋白质与 AD 及其表型的关联。最后,检查抑郁多基因风险评分与 AD 表型的关联。
我们检测到抑郁与 AD 之间存在显著的遗传相关性,表明它们具有共同的遗传基础。此外,我们通过孟德尔随机化发现抑郁在 AD 中起因果作用,但没有发现 AD 对抑郁起因果作用的证据。此外,我们通过数量性状基因座分析确定了 75 个受抑郁全基因组关联研究信号调控的脑转录本和 28 个脑蛋白。其中,46 个转录本和 7 个蛋白与两个独立队列中随时间推移的认知能力下降率、AD 病理和 AD 诊断相关,因此表明它们与 AD 相关。此外,我们发现,较高的抑郁多基因风险评分与随时间推移的情景记忆衰退速度较快相关。
抑郁似乎在 AD 中起因果作用,这种因果关系可能部分由本研究中鉴定的 53 个脑转录本和蛋白质驱动。