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跨疾病精神障碍易感性的遗传风险与皮质下脑体积改变的遗传风险存在重叠。

Overlap in genetic risk for cross-disorder vulnerability to mental disorders and genetic risk for altered subcortical brain volumes.

机构信息

MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.

Imaging Genetics Center, Mark and Mary Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA.

出版信息

J Affect Disord. 2021 Mar 1;282:740-756. doi: 10.1016/j.jad.2020.12.062. Epub 2021 Jan 12.

Abstract

BACKGROUND

There have been considerable recent advances in understanding the genetic architecture of psychiatric disorders as well as the underlying neurocircuitry. However, there is little work on the concordance of genetic variations that increase risk for cross-disorder vulnerability, and those that influence subcortical brain structures. We undertook a genome-wide investigation of the genetic overlap between cross-disorder vulnerability to psychiatric disorders (p-factor) and subcortical brain structures.

METHODS

Summary statistics were obtained from the PGC cross-disorder genome-wide association study (GWAS) (N= 232,964, N= 494,162) and the CHARGE-ENIGMA subcortical brain volumes GWAS (N=38,851). SNP effect concordance analysis (SECA) was used to assess pleiotropy and concordance. Linkage Disequilibrium (LD) Score Regression and ρ-HESS were used to assess genetic correlation and conditional false discovery (cFDR) was used to identify variants associated with p-factor, conditional on the variants association with subcortical brain volumes.

RESULTS

Evidence of global pleiotropy between p-factor and all subcortical brain regions was observed. Risk variants for p-factor correlated negatively with brainstem. A total of 787 LD-independent variants were significantly associated with p-factor when conditioned on the subcortical GWAS results. Gene set enrichment analysis of these variants implicated actin binding and neuronal regulation.

LIMITATIONS

SECA could be biased due to the potential presence of overlapping study participants in the p-factor and subcortical GWASs.

CONCLUSION

Findings of genome-wide pleiotropy and possible concordance between genetic variants that contribute to p-factor and smaller brainstem volumes, are consistent with previous work. cFDR results highlight actin binding and neuron regulation as key underlying mechanisms. Further fine-grained delineation of these mechanisms is needed to advance the field.

摘要

背景

近年来,人们对精神障碍的遗传结构以及潜在的神经回路有了相当多的了解。然而,对于增加跨疾病易感性的遗传变异与影响皮质下脑结构的遗传变异之间的一致性,研究甚少。我们对跨疾病易感性(p 因子)与皮质下脑结构之间的遗传重叠进行了全基因组研究。

方法

从 PGC 跨疾病全基因组关联研究(GWAS)(N=232964,N=494162)和 CHARGE-ENIGMA 皮质下脑容量 GWAS(N=38851)中获得汇总统计数据。采用 SNP 效应一致性分析(SECA)评估多效性和一致性。采用连锁不平衡(LD)得分回归和 ρ-HESS 评估遗传相关性和条件假发现率(cFDR)用于识别与 p 因子相关的变体,条件是这些变体与皮质下脑容量相关。

结果

观察到 p 因子与所有皮质下脑区之间存在全基因组的普遍多效性。p 因子的风险变异与脑干呈负相关。当条件为皮质下 GWAS 结果时,共有 787 个 LD 独立变体与 p 因子显著相关。对这些变体的基因集富集分析表明,肌动蛋白结合和神经元调节。

局限性

由于 p 因子和皮质下 GWAS 中可能存在重叠的研究参与者,SECA 可能存在偏差。

结论

全基因组多效性的发现以及对 p 因子和较小的脑干体积有贡献的遗传变异之间的可能一致性,与之前的工作一致。cFDR 结果强调了肌动蛋白结合和神经元调节作为关键的潜在机制。需要进一步精细地描述这些机制,以推动该领域的发展。

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