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孟德尔随机化分析支持基于脑影像的表型与精神障碍风险之间的因果关系。

Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders.

机构信息

Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P. R. China.

National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, P. R. China.

出版信息

Nat Neurosci. 2022 Nov;25(11):1519-1527. doi: 10.1038/s41593-022-01174-7. Epub 2022 Oct 10.

Abstract

Observational studies have reported the correlations between brain imaging-derived phenotypes (IDPs) and psychiatric disorders; however, whether the relationships are causal is uncertain. We conducted bidirectional two-sample Mendelian randomization (MR) analyses to explore the causalities between 587 reliable IDPs (N = 33,224 individuals) and 10 psychiatric disorders (N = 9,725 to 161,405). We identified nine IDPs for which there was evidence of a causal influence on risk of schizophrenia, anorexia nervosa and bipolar disorder. For example, 1 s.d. increase in the orientation dispersion index of the forceps major was associated with 32% lower odds of schizophrenia risk. Reverse MR indicated that only genetically predicted schizophrenia was positively associated with two IDPs, the cortical surface area and the volume of the right pars orbitalis. We established the BrainMR database ( http://www.bigc.online/BrainMR/ ) to share our results. Our findings provide potential strategies for the prediction and intervention for psychiatric disorder risk at the brain-imaging level.

摘要

观察性研究报告了脑影像衍生表型(IDPs)与精神障碍之间的相关性;然而,这些关系是否具有因果关系尚不确定。我们进行了双向两样本 Mendelian 随机分析(MR),以探讨 587 个可靠的 IDPs(N=33224 人)与 10 种精神障碍(N=9725 至 161405 人)之间的因果关系。我们确定了九个 IDPs,它们与精神分裂症、神经性厌食症和双相情感障碍的风险存在因果关系。例如,主要钳状纤维的方向分散指数增加 1 个标准差与精神分裂症风险降低 32%相关。反向 MR 表明,只有遗传预测的精神分裂症与两个 IDPs(皮质表面积和右侧眶额回体积)呈正相关。我们建立了 BrainMR 数据库(http://www.bigc.online/BrainMR/)来分享我们的结果。我们的研究结果为在脑影像水平上预测和干预精神障碍风险提供了潜在策略。

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