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功能基因组学揭示了精神分裂症风险的基因调控机制。

Functional genomics reveal gene regulatory mechanisms underlying schizophrenia risk.

机构信息

Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.

Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650204, China.

出版信息

Nat Commun. 2019 Feb 8;10(1):670. doi: 10.1038/s41467-019-08666-4.

Abstract

Genome-wide association studies (GWASs) have identified over 180 independent schizophrenia risk loci. Nevertheless, how the risk variants in the reported loci confer schizophrenia susceptibility remains largely unknown. Here we systematically investigate the gene regulatory mechanisms underpinning schizophrenia risk through integrating data from functional genomics (including 30 ChIP-Seq experiments) and position weight matrix (PWM). We identify 132 risk single nucleotide polymorphisms (SNPs) that disrupt transcription factor binding and we find that 97 of the 132 TF binding-disrupting SNPs are associated with gene expression in human brain tissues. We validate the regulatory effect of some TF binding-disrupting SNPs with reporter gene assays (9 SNPs) and allele-specific expression analysis (10 SNPs). Our study reveals gene regulatory mechanisms affected by schizophrenia risk SNPs (including widespread disruption of POLR2A and CTCF binding) and identifies target genes for mechanistic studies and drug development. Our results can be accessed and visualized at SZDB database ( http://www.szdb.org/ ).

摘要

全基因组关联研究(GWAS)已经确定了超过 180 个独立的精神分裂症风险位点。然而,报告的这些位点中的风险变异如何导致精神分裂症易感性仍然很大程度上未知。在这里,我们通过整合功能基因组学(包括 30 个 ChIP-Seq 实验)和位置权重矩阵(PWM)的数据,系统地研究了精神分裂症风险背后的基因调控机制。我们确定了 132 个破坏转录因子结合的风险单核苷酸多态性(SNP),并且我们发现,在人类脑组织中,这 132 个 TF 结合破坏 SNP 中有 97 个与基因表达相关。我们通过报告基因检测(9 个 SNP)和等位基因特异性表达分析(10 个 SNP)验证了一些 TF 结合破坏 SNP 的调控作用。我们的研究揭示了受精神分裂症风险 SNP 影响的基因调控机制(包括广泛破坏 POLR2A 和 CTCF 结合),并确定了用于机制研究和药物开发的靶基因。我们的研究结果可以在 SZDB 数据库(http://www.szdb.org/)中访问和可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/916f/6368563/bd48afc67372/41467_2019_8666_Fig1_HTML.jpg

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