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一种全基因组关联研究方法,用于识别GBA1基因变异与神经系统疾病以外的综合表型之间的关联。

A PheWAS approach to identify associations of GBA1 variants with comprehensive phenotypes beyond neurological diseases.

作者信息

Yang Jiaqi, Huang Yuanfeng, Wang Zheng, Zhang Shiyu, Wu Dai, Xiong Jiayi, Wu Heng, Wang Yijing, Zhou Qiao, Zhu Yixiao, Zhao Guihu, Li Bin, Guo Jifeng, Xia Kun, Tang Beisha, Li Jinchen

机构信息

National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.

Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China.

出版信息

NPJ Parkinsons Dis. 2025 Mar 17;11(1):48. doi: 10.1038/s41531-025-00901-8.

Abstract

Given the established association between numerous GBA1 variants and specific neurological diseases, we extended the exploration by a phenome-wide association study to assess the impact of GBA1 variants on a wider spectrum of health-related traits. We identified 41 phenotypes associated with GBA1 variants, 39 of which were unreported, including 21 non-neurological and 20 neurological phenotypes. Based on variant-level association tests, we found beyond the neurological phenotypes particularly decreased gray-white matter contrast measures across 13 distinct brain regions, the non-coding variant rs9628662 was associated with six non-neurological traits such as hypermetropia. Another non-coding variant rs3115534 showed associations with eight biomarkers of multiple categories, and an increased risk of benign digestive neoplasms. Notably, compared to protein-coding variant p.T408M, the rs3115534 had opposing effects on three hematological biomarkers. Additionally, gene-level association analyses revealed significant associations with three neurological diseases including Parkinson's disease. The findings demonstrated that GBA1 variants significantly impact various health-related traits.

摘要

鉴于众多GBA1变体与特定神经系统疾病之间已确立的关联,我们通过全表型关联研究扩展了探索范围,以评估GBA1变体对更广泛的健康相关性状的影响。我们确定了41种与GBA1变体相关的表型,其中39种是未报告的,包括21种非神经表型和20种神经表型。基于变体水平的关联测试,我们发现除了神经表型外,特别是在13个不同脑区的灰质-白质对比度测量值降低,非编码变体rs9628662与远视等六种非神经性状相关。另一个非编码变体rs3115534与多个类别的八种生物标志物以及良性消化肿瘤风险增加有关。值得注意的是,与蛋白质编码变体p.T408M相比,rs3115534对三种血液生物标志物有相反的影响。此外,基因水平的关联分析揭示了与包括帕金森病在内的三种神经系统疾病的显著关联。这些发现表明,GBA1变体对各种健康相关性状有显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19eb/11914287/384415ea2dd9/41531_2025_901_Fig1_HTML.jpg

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