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Related Experiment Video

Updated: Sep 22, 2025

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Identifying Alzheimer's genes via brain transcriptome mapping.

Jae Young Baik1, Mansu Kim2, Jingxuan Bao3

  • 1School of Arts and Sciences, University of Pennsylvania, Philadelphia, USA.

BMC Medical Genomics
|May 19, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to find Alzheimer's disease (AD) genes by linking brain gene expression to disease traits. The approach identified 12 genes, including 8 novel candidates, offering new insights into AD.

Keywords:
Brain imaging transcriptomicsGene expression mapImaging-diagnosis map

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Area of Science:

  • Neuroscience
  • Genetics
  • Bioinformatics

Background:

  • Alzheimer's disease (AD) is a leading cause of neurodegeneration and cognitive decline.
  • Previous genetic studies identified AD susceptibility loci, but often lack disease specificity.
  • Emerging brain imaging transcriptomics studies explore gene-trait associations but may not link to disease outcomes.

Purpose of the Study:

  • To develop and validate a novel two-stage method for identifying genes associated with AD diagnosis through brain transcriptome mapping.
  • To integrate brain gene expression data with neuroimaging to discover disease-relevant genes.
  • To uncover novel genetic markers for Alzheimer's disease.

Main Methods:

  • A two-stage approach was developed: 1) mapping diagnosis phenotype effects onto brain imaging traits, and 2) correlating brain transcriptome maps with diagnostic effect maps.
  • Utilized the Allen Human Brain Atlas (AHBA) for transcriptome data and the Alzheimer's Disease Neuroimaging Initiative (ADNI) for amyloid imaging data.
  • Employed linear regression and spatial correlation analyses to assess gene-diagnosis associations.

Main Results:

  • The method successfully identified 12 genes with brain-wide transcriptome patterns correlated to diagnostic effects on amyloid imaging traits.
  • Four of the identified genes are known Alzheimer's disease genes (confirmed findings).
  • Eight novel genes, not previously linked to AD in DisGeNET, were discovered.

Conclusions:

  • A novel disease-related brain transcriptomic mapping method was proposed and validated.
  • The approach effectively links gene expression profiles to regional diagnostic effects and brain traits.
  • The identified AD genes offer valuable insights into biological pathways from transcriptomic signatures to disease phenotypes.