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Updated: Jun 6, 2025

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Transcription Factor-Wide Association Studies to Identify Functional SNPs in Alzheimer's Disease
Jessica Dunn1, Cedric Moore1, Nam-Shik Kim2
1Department of Pharmacology, Johns Hopkins University, Baltimore, Maryland 21205.
None:
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.
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