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Updated: Mar 30, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Combined Genome-Wide CSF Aβ-42's Associations and Simple Network Properties Highlight New Risk Factors for
M B R Souza1, G S Araújo2, I G Costa2,3
1Keizo Asami Laboratory (LIKA), Federal University of Pernambuco (UFPE), Recife, PE, 50670901, Brazil.
Abstract:
The abnormal deposition of amyloid-β protein in the brain plays an important role in Alzheimer's disease (AD), being considered a potential clinical biomarker. To investigate genetic associations with amyloid-β we used biomarker data and genome-wide variants from individuals with AD and mild cognitive impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We used a standard linear model and retested the associations with a mixed linear model to correct the residual sample structure. Both methods' results showed two identical significant SNPs associated with the A β-42 levels in CSF (rs2075650 at intron region TOMM40 with p-value ≥ 1 × 10-16 and rs439401 in the intergenic region of LOC100129500 and APOC1 with p-value ≥ 1 × 10-9) and highlighted APOC1 and TOMM40, which are well-known genes previously associated with AD. Extending our analysis, we considered possible candidate genes mapped to SNPs with p-value ≥ 1 × 10-6 to explore gene-set enrichment e gene-gene network analysis, which reveals genes related to synaptic transmission, transmission of nerve impulses, cell-cell signaling and neurological processes. These genes require fine mapping and replication studies to allow more detailed understanding of how they may contribute to the genetic architecture of AD.
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