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解析阿尔茨海默病的遗传共病网络。

Decoding the genetic comorbidity network of Alzheimer's disease.

作者信息

Zhang Xueli, Li Dantong, Ye Siting, Liu Shunming, Ma Shuo, Li Min, Peng Qiliang, Hu Lianting, Shang Xianwen, He Mingguang, Zhang Lei

机构信息

Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.

Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.

出版信息

BioData Min. 2024 Oct 9;17(1):40. doi: 10.1186/s13040-024-00394-w.

Abstract

Alzheimer's disease (AD) has emerged as the most prevalent and complex neurodegenerative disorder among the elderly population. However, the genetic comorbidity etiology for AD remains poorly understood. In this study, we conducted pleiotropic analysis for 41 AD phenotypic comorbidities, identifying ten genetic comorbidities with 16 pleiotropy genes associated with AD. Through biological functional and network analysis, we elucidated the molecular and functional landscape of AD genetic comorbidities. Furthermore, leveraging the pleiotropic genes and reported biomarkers for AD genetic comorbidities, we identified 50 potential biomarkers for AD diagnosis. Our findings deepen the understanding of the occurrence of AD genetic comorbidities and provide new insights for the search for AD diagnostic markers.

摘要

阿尔茨海默病(AD)已成为老年人群中最普遍且最复杂的神经退行性疾病。然而,AD的遗传共病病因仍知之甚少。在本研究中,我们对41种AD表型共病进行了多效性分析,确定了10种遗传共病以及与AD相关的16个多效性基因。通过生物学功能和网络分析,我们阐明了AD遗传共病的分子和功能格局。此外,利用AD遗传共病的多效性基因和已报道的生物标志物,我们确定了50个AD诊断的潜在生物标志物。我们的研究结果加深了对AD遗传共病发生的理解,并为寻找AD诊断标志物提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e0a/11465508/cb32f0c14d2a/13040_2024_394_Fig1_HTML.jpg

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