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全基因组关联研究和常见 meQTLs 的综合分析,探索 DNA 甲基化对神经质发展的影响。

Integrative analysis of genome-wide association study and common meQTLs for exploring the effects of DNA methylation on the development of neuroticism.

机构信息

TEDA International Cardiovascular Hospital,Peking Union Medical College Chinese Academy of Medical Sciences, 61, Third Avenue, Tian Jin300457, China.

TEDA International Cardiovascular Hospital,Peking Union Medical College Chinese Academy of Medical Sciences, 61, Third Avenue, Tian Jin300457, China.

出版信息

J Affect Disord. 2020 Sep 1;274:218-222. doi: 10.1016/j.jad.2020.05.013. Epub 2020 May 21.

DOI:10.1016/j.jad.2020.05.013
PMID:32469807
Abstract

BACKGROUND

Neuroticism is one of the important traits of personality, which has strong genetic components. However, the underlying genetic mechanism is still unclear.

METHODS

To better understand the genetic basis of neuroticism, we conducted an integrative analysis of genome-wide association studies (GWAS) and life course consistent methylation quantitative trait loci (meQTLs) data. The GWAS data of neuroticism was derived from a published study of neuroticism (including 170,906 subjects). Life course consistent meQTLs were obtained from a large scale longitudinal meQTLs analysis (including 1,018 mother-child pairs).Gene prioritization, pathway and tissue/cell type enrichment analyses were implemented by DEPICT.

RESULTS

We identified multiple genes, pathways and tissues associated with neuroticism, such as NEIL2 (P value = 1.31 × 10), ARHGAP27 (P value = 1.40 × 10), REACTOME_CLATHRIN_DERIVED_VESICLE_BUDDING(P value =4.92 × 10 ,REACTOME_TRANS:GOLGI_NETWORK_VESICLE_BUDDING (P value =4.92 × 10), frontal lobe(P value =3.83 × 10) and visual cortex (P value =8.46 × 10).

CONCLUSIONS

Our results provide novel insights for understanding the genetic mechanism of neuroticism.

摘要

背景

神经质是人格的重要特征之一,具有很强的遗传成分。然而,其潜在的遗传机制仍不清楚。

方法

为了更好地了解神经质的遗传基础,我们对全基因组关联研究(GWAS)和生命历程一致的甲基化定量性状基因座(meQTLs)数据进行了综合分析。神经质的 GWAS 数据来自一项已发表的神经质研究(包括 170906 名受试者)。生命历程一致的 meQTLs 来自大规模纵向 meQTLs 分析(包括 1018 对母子对)。通过 DEPICT 进行基因优先级、途径和组织/细胞类型富集分析。

结果

我们确定了多个与神经质相关的基因、途径和组织,如 NEIL2(P 值=1.31×10)、ARHGAP27(P 值=1.40×10)、REACTOME_CLATHRIN_DERIVED_VESICLE_BUDDING(P 值=4.92×10)、REACTOME_TRANS:GOLGI_NETWORK_VESICLE_BUDDING(P 值=4.92×10)、额叶(P 值=3.83×10)和视觉皮层(P 值=8.46×10)。

结论

我们的研究结果为理解神经质的遗传机制提供了新的见解。

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