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Structural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disorders
bioRxiv - Neuroscience Pub Date : 2020-05-30 , DOI: 10.1101/809582
Nevena V. Radonjić , Jonathan L. Hess , Paula Rovira , Ole Andreassen , Jan K. Buitelaar , Christopher R. K. Ching , Barbara Franke , Martine Hoogman , Neda Jahanshad , Carrie McDonald , Lianne Schmaal , Sanjay M. Sisodiya , Dan J. Stein , Odile A. van den Heuvel , Theo G.M. van Erp , Daan van Rooij , Dick J. Veltman , Paul Thompson , Stephen V. Faraone

Background: Genomewide association studies have found significant genetic correlations among many neuropsychiatric disorders. In contrast, we know much less about the degree to which structural brain alterations are similar among disorders and, if so, the degree to which such similarities have a genetic etiology. Methods: From the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium, we acquired standardized mean differences (SMDs) in regional brain volume and cortical thickness between cases and controls. We had data on 41 brain regions for: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), epilepsy, major depressive disorder (MDD), obsessive compulsive disorder (OCD) and schizophrenia (SCZ). These data had been derived from 24,360 patients and 37,425 controls. Results: The SMDs were significantly correlated between SCZ and BD, OCD, MDD, and ASD. MDD was positively correlated with BD and OCD. BD was positively correlated with OCD and negatively correlated with ADHD. These pairwise correlations among disorders were correlated with the corresponding pairwise correlations among disorders derived from genomewide association studies (r = 0.49). Conclusions: Our results show substantial similarities in sMRI phenotypes among neuropsychiatric disorders and suggest that these similarities are accounted for, in part, by corresponding similarities in common genetic variant architectures.

中文翻译:

结构性脑成像研究为神经精神疾病之间共享遗传病因的影响提供了线索

背景:全基因组关联研究发现许多神经精神疾病之间存在显着的遗传相关性。相比之下,我们对疾病之间的结构性大脑改变的相似程度了解甚少,如果这样的话,我们对遗传病因的相似程度也知之甚少。方法:从通过荟萃分析(ENIGMA)增强神经影像遗传学的研究中,我们获得了病例与对照之间的区域性大脑体积和皮质厚度的标准化均值差(SMD)。我们获得了41个大脑区域的数据,这些数据包括:注意缺陷/多动障碍(ADHD),自闭症谱系障碍(ASD),双相情感障碍(BD),癫痫,重度抑郁症(MDD),强迫症(OCD)和精神分裂症( SCZ)。这些数据来自24,360名患者和37,425名对照。结果:SMD与SCZ和BD,OCD,MDD和ASD之间显着相关。MDD与BD和OCD呈正相关。BD与OCD正相关,与ADHD负相关。这些疾病之间的成对相关与来自全基因组关联研究的疾病之间的成对相关相关(r = 0.49)。结论:我们的结果显示出神经精神疾病中sMRI表型的实质相似性,并表明这些相似性部分是由常见遗传变异结构中的相应相似性造成的。这些疾病之间的成对相关与源自全基因组关联研究的疾病之间的相应成对相关(r = 0.49)。结论:我们的结果显示出神经精神疾病中sMRI表型的实质相似性,并表明这些相似性部分是由常见遗传变异结构中的相应相似性造成的。这些疾病之间的成对相关与来自全基因组关联研究的疾病之间的成对相关相关(r = 0.49)。结论:我们的结果显示出神经精神疾病中sMRI表型的实质相似性,并表明这些相似性部分是由常见遗传变异结构中的相应相似性造成的。
更新日期:2020-05-30
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