Genetic architectures of the human hippocampus and those involved in neuropsychiatric traits.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMC Medicine Pub Date : 2024-10-11 DOI:10.1186/s12916-024-03682-8
Caibo Ning, Meng Jin, Yimin Cai, Linyun Fan, Kexin Hu, Zequn Lu, Ming Zhang, Can Chen, Yanmin Li, Naifan Hu, Donghui Zhang, Yizhuo Liu, Shuoni Chen, Yuan Jiang, Chunyi He, Zhuo Wang, Zilong Cao, Hanting Li, Gaoyuan Li, Qianying Ma, Hui Geng, Wen Tian, Heng Zhang, Xiaojun Yang, Chaoqun Huang, Yongchang Wei, Bin Li, Ying Zhu, Xiangpan Li, Xiaoping Miao, Jianbo Tian
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Abstract

Background: The hippocampus, with its complex subfields, is linked to numerous neuropsychiatric traits. While most research has focused on its global structure or a few specific subfields, a comprehensive analysis of hippocampal substructures and their genetic correlations across a wide range of neuropsychiatric traits remains underexplored. Given the hippocampus's high heritability, considering hippocampal and subfield volumes (HASV) as endophenotypes for neuropsychiatric conditions is essential.

Methods: We analyzed MRI-derived volumetric data of hippocampal and subfield structures from 41,525 UK Biobank participants. Genome-wide association studies (GWAS) on 24 HASV traits were conducted, followed by genetic correlation, overlap, and Mendelian randomization (MR) analyses with 10 common neuropsychiatric traits. Polygenic risk scores (PRS) based on HASV traits were also evaluated for predicting these traits.

Results: Our analysis identified 352 independent genetic variants surpassing a significance threshold of 2.1 × 10-9 within the 24 HASV traits, located across 93 chromosomal regions. Notably, the regions 12q14.3, 17q21.31, 12q24.22, 6q21, 9q33.1, 6q25.1, and 2q24.2 were found to influence multiple HASVs. Gene set analysis revealed enrichment of neural differentiation and signaling pathways, as well as protein binding and degradation. Of 240 HASV-neuropsychiatric trait pairs, 75 demonstrated significant genetic correlations (P < 0.05/240), revealing 433 pleiotropic loci. Particularly, genes like ACBD4, ARHGAP27, KANSL1, MAPT, ARL17A, and ARL17B were involved in over 50 HASV-neuropsychiatric pairs. Leveraging Mendelian randomization analysis, we further confirmed that atrophy in the left hippocampus, right hippocampus, right hippocampal body, and right CA1-3 region were associated with an increased risk of developing Parkinson's disease (PD). Furthermore, PRS for all four HASVs were significantly linked to a higher risk of Parkinson's disease (PD), with the highest hazard ratio (HR) of 1.30 (95% CI 1.18-1.43, P = 6.15 × 10⁻⁸) for right hippocampal volume.

Conclusions: These findings highlight the extensive distribution of pleiotropic genetic determinants between HASVs and neuropsychiatric traits. Moreover, they suggest a significant potential for effectively managing and intervening in these diseases during their early stages.

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人类海马体的基因结构以及与神经精神特征有关的基因结构。
背景:海马及其复杂的亚区与许多神经精神特征有关。虽然大多数研究都集中于海马的整体结构或几个特定的亚区,但对海马亚结构及其在多种神经精神特征中的遗传相关性的全面分析仍然缺乏探索。鉴于海马的高遗传性,将海马和亚场体积(HASV)视为神经精神疾病的内表型至关重要:我们分析了来自 41525 名英国生物库参与者的海马和子场结构的 MRI 容量数据。我们对 24 种 HASV 特征进行了全基因组关联研究(GWAS),然后对 10 种常见神经精神特征进行了遗传相关性、重叠性和孟德尔随机化(MR)分析。此外,还评估了基于HASV特征的多基因风险评分(PRS),以预测这些特征:我们的分析发现,在 24 个 HASV 特质中,有 352 个独立遗传变异的显著性阈值超过 2.1 × 10-9,它们分布在 93 个染色体区域。值得注意的是,12q14.3、17q21.31、12q24.22、6q21、9q33.1、6q25.1 和 2q24.2 区段被发现影响多个 HASVs。基因组分析表明,神经分化和信号通路以及蛋白质结合和降解的基因丰富。在 240 个 HASV-神经精神特质对中,75 个表现出显著的遗传相关性(P 结论):这些发现凸显了 HASV 与神经精神特征之间多效遗传决定因素的广泛分布。此外,这些发现还表明,在这些疾病的早期阶段对其进行有效管理和干预具有巨大潜力。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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