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转录因子全基因组关联研究以鉴定阿尔茨海默病中的功能性单核苷酸多态性

Transcription Factor-Wide Association Studies to Identify Functional SNPs in Alzheimer's Disease.

作者信息

Dunn Jessica, Moore Cedric, Kim Nam-Shik, Gao Tianshun, Cheng Zhiqiang, Jin Peng, Ming Guo-Li, Qian Jiang, Su Yijing, Song Hongjun, Zhu Heng

机构信息

Department of Pharmacology, Johns Hopkins University, Baltimore, Maryland 21205.

Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104.

出版信息

J Neurosci. 2025 Jan 8;45(2):e1800242024. doi: 10.1523/JNEUROSCI.1800-24.2024.

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with profound global impact. While genome-wide association studies (GWAS) have revealed genomic variants linked to AD, their translational impact has been limited due to challenges in interpreting the identified genetic associations. To address this challenge, we have devised a novel approach termed transcription factor-wide association studies (TF-WAS). By integrating the GWAS, expression quantitative trait loci, and transcriptome analyses, we selected 30 AD single nucleotide polymorphisms (SNPs) in noncoding regions that are likely to be functional. Using human transcription factor (TF) microarrays, we have identified 90 allele-specific TF interactions with 53 unique TFs. We then focused on several interactions involving SMAD4 and further validated them using electrophoretic mobility shift assay, luciferase, and chromatin immunoprecipitation on engineered genetic backgrounds (female cells). This approach holds promise for unraveling the intricacies of not just AD, but any complex disease with available GWAS data, providing insight into underlying molecular mechanisms and clues toward potential therapeutic targets.

摘要

阿尔茨海默病(AD)是一种具有深远全球影响的进行性神经退行性疾病。虽然全基因组关联研究(GWAS)已经揭示了与AD相关的基因组变异,但由于在解释所确定的基因关联方面存在挑战,它们的转化影响有限。为了应对这一挑战,我们设计了一种名为转录因子全基因组关联研究(TF-WAS)的新方法。通过整合GWAS、表达数量性状位点和转录组分析,我们在非编码区域选择了30个可能具有功能的AD单核苷酸多态性(SNP)。使用人类转录因子(TF)微阵列,我们已经确定了90种与53种独特TF的等位基因特异性TF相互作用。然后,我们重点研究了涉及SMAD4的几种相互作用,并在工程遗传背景(雌性细胞)上使用电泳迁移率变动分析、荧光素酶和染色质免疫沉淀进一步验证了它们。这种方法不仅有望揭示AD的复杂性,而且对于任何有可用GWAS数据的复杂疾病都有帮助,能够深入了解潜在的分子机制,并为潜在的治疗靶点提供线索。

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