Examining the genetic links between clusters of immune-mediated diseases and psychiatric disorders.

IF 6.2 1区 医学 Q1 PSYCHIATRY
Sophie Breunig, Younga Heather Lee, Elizabeth W Karlson, Arjun Krishnan, Jeremy M Lawrence, Lukas S Schaffer, Andrew D Grotzinger
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Abstract

Extant phenotypic and genetic literature has established consistent relationships between autoimmune, autoinflammatory, and psychiatric disorders. However, a comprehensive model investigating the association between a broad range of psychiatric disorders and immune-mediated disease in a multivariate framework is lacking. We utilized Genomic Structural Equation Modeling (Genomic SEM) to establish a factor structure across 11 immune-mediated diseases. Genetic correlations between these immune factors were examined with five established factors across 13 psychiatric disorders. We develop and validate a new heterogeneity metric, QFactor, that quantifies the degree to which factor correlations are driven by more specific pairwise associations, which were further investigated in the form of residual genetic correlations. A four-factor model of immune-mediated diseases fit the data well and described a continuum from autoimmune to autoinflammatory diseases, reflecting autoimmune, celiac, mixed pattern, and autoinflammatory diseases. Analyses revealed six significant factor correlations between the immune and psychiatric factors, including autoimmune and mixed pattern diseases with the substance use factors, autoinflammatory diseases and mixed pattern diseases with the internalizing factor, autoinflammatory diseases with the compulsive disorders factor, and autoinflammatory diseases with the schizophrenia/bipolar factor. Additionally, we find evidence of divergence in associations within factors as indicated by QFactor and 10 significant residual genetic correlations between individual psychiatric disorders and immune-mediated diseases. The results suggest that previously described relationships between specific psychiatric disorders and immune-mediated diseases often capture broader pathways of risk sharing indexed by our genomic factors yet are more specific than a general association across all psychiatric disorders and immune-mediated diseases.

检查免疫介导疾病群和精神疾病之间的遗传联系。
现存的表型和遗传文献已经在自身免疫、自身炎症和精神疾病之间建立了一致的关系。然而,在多变量框架下调查广泛的精神疾病和免疫介导疾病之间关系的综合模型是缺乏的。我们利用基因组结构方程模型(基因组SEM)建立了11种免疫介导疾病的因子结构。这些免疫因素之间的遗传相关性与13种精神疾病中的5个既定因素进行了检查。我们开发并验证了一个新的异质性指标QFactor,该指标量化了因子相关性受更具体的两两关联驱动的程度,并以剩余遗传相关性的形式进一步研究了两两关联。免疫介导疾病的四因素模型很好地符合数据,描述了从自身免疫性疾病到自身炎症性疾病的连续体,反映了自身免疫性疾病、乳糜泻、混合模式和自身炎症性疾病。分析发现免疫与精神因素之间存在6个显著相关因素,包括自身免疫性和混合型疾病与物质使用因素、自身免疫性和混合型疾病与内化因素、自身免疫性疾病与强迫性障碍因素、自身免疫性疾病与精神分裂症/双相障碍因素。此外,我们发现了QFactor和个体精神疾病与免疫介导疾病之间的10个显著残留遗传相关性所表明的因素之间的关联差异的证据。结果表明,先前描述的特定精神疾病和免疫介导疾病之间的关系通常捕获了由我们的基因组因子索引的更广泛的风险共享途径,但比所有精神疾病和免疫介导疾病的一般关联更具体。
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来源期刊
CiteScore
11.50
自引率
2.90%
发文量
484
审稿时长
23 weeks
期刊介绍: Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.
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