| Title: |
Transcription Factor-Wide Association Studies to Identify Functional SNPs in Alzheimer’s Disease. |
| Authors: |
Dunn, Jessica; Moore, Cedric; Nam-Shik Kim; Tianshun Gao; Zhiqiang Cheng; Peng Jin; Guo-li Ming; Jiang Qian; Yijing Su; Hongjun Song; Heng Zhu |
| Source: |
Journal of Neuroscience; 1/8/2025, Vol. 45 Issue 2, p1-20, 20p |
| Subject Terms: |
LOCUS (Genetics); TRANSCRIPTION factors; GENOME-wide association studies; NEURODEGENERATION; DRUG target |
| 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. [ABSTRACT FROM AUTHOR] |
| : |
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| Database: |
Complementary Index |