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整合全基因组关联研究和表达数量性状基因座数据,确定 NEGR1 是重度抑郁症的一个因果风险基因。

Integrating genome-wide association study and expression quantitative trait loci data identifies NEGR1 as a causal risk gene of major depression disorder.

机构信息

Department of Psychiatry, Jining Medical University, 133 He Hua Road, Jining, Shandong 272067, China.

National Clinical Research Center for Mental Disorders & NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Peking University Sixth Hospital (Institute of Mental Health), Beijing 100191, China.

出版信息

J Affect Disord. 2020 Mar 15;265:679-686. doi: 10.1016/j.jad.2019.11.116. Epub 2019 Dec 4.

DOI:10.1016/j.jad.2019.11.116
PMID:32090785
Abstract

BACKGROUND

Genome-wide association studies (GWAS) have identified several genetic variants associated with major depression disorder (MDD). However, pinpointing the causal variants which are responsible for the association signal at a risk locus remains a major challenge.

METHODS

We used Summary data-based Mendelian Randomization (SMR) with Psychiatric Genomics Consortium (PGC) GWAS summary and brain expression quantitative trait loci (eQTL) data to identify genes whose expression levels are causally associated with MDD. Then we performed differential expression analysis, methylation quantitative trait loci analysis, and cognitive genetics analysis to investigate the potential roles of risk genes in the pathogenesis of MDD.

RESULTS

Through SMR integrative analysis, we identified the SNP rs10789336 located in Neuronal growth regulator 1 (NEGR1) gene significantly affected the expression level of RPL31P12 in brain tissues and contributed to the risk of MDD (P = 1.96 × 10). Consistently, the SNP rs10789336 was associated with the methylation levels of three nearby DNA methylation sites, including cg09256413 (NEGR1, P=1.72 × 10), cg11418303 (prostaglandin E receptor 3 [PTGER3], P = 4.78 × 10), and cg23032215 (ZRANB2 antisense RNA 2 [ZRANB2-AS2], P = 1.23 × 10). Differential expression analysis suggested that the NEGR1 gene was upregulated in prefrontal cortex (P = 5.14 × 10). Cognitive genetics analysis showed that the SNP rs10789336 was associated with cognitive performance (P = 2.41 × 10), educational attainment (P = 1.75 × 10), general cognitive function (P = 2.65 × 10), and verbal numerical reasoning (P = 1.36 × 10).

CONCLUSION

Collectively, our results revealed that the SNP rs10789336 in NEGR1 might confer risk to MDD. Further investigation of the roles of NEGR1 in the pathogenesis of MDD is warranted.

摘要

背景

全基因组关联研究(GWAS)已经确定了几个与重度抑郁症(MDD)相关的遗传变异。然而,确定风险基因座关联信号的因果变异仍然是一个主要挑战。

方法

我们使用基于汇总数据的孟德尔随机化(SMR),结合精神疾病基因组学联盟(PGC)GWAS 汇总数据和大脑表达数量性状基因座(eQTL)数据,鉴定出与 MDD 因果相关的表达水平的基因。然后,我们进行了差异表达分析、甲基化数量性状基因座分析和认知遗传学分析,以研究风险基因在 MDD 发病机制中的潜在作用。

结果

通过 SMR 综合分析,我们确定了位于神经元生长调节因子 1(NEGR1)基因中的 SNP rs10789336 显著影响了大脑组织中 RPL31P12 的表达水平,并导致 MDD 发病风险增加(P=1.96×10)。一致的是,SNP rs10789336 与三个附近 DNA 甲基化位点的甲基化水平相关,包括 cg09256413(NEGR1,P=1.72×10)、cg11418303(前列腺素 E 受体 3 [PTGER3],P=4.78×10)和 cg23032215(ZRANB2 反义 RNA 2 [ZRANB2-AS2],P=1.23×10)。差异表达分析表明,NEGR1 基因在前额叶皮层中上调(P=5.14×10)。认知遗传学分析表明,SNP rs10789336 与认知表现(P=2.41×10)、教育程度(P=1.75×10)、一般认知功能(P=2.65×10)和言语数字推理(P=1.36×10)相关。

结论

总的来说,我们的结果表明 NEGR1 中的 SNP rs10789336 可能导致 MDD 发病风险增加。进一步研究 NEGR1 在 MDD 发病机制中的作用是有必要的。

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