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Drug Development.

Jesse C Wiley1, Gregory A Cary2, Laura M Heath1

  • 1Sage Bionetworks, Seattle, WA, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
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Summary
This summary is machine-generated.

This study introduces Alzheimer's Disease (AD) biological subdomains to refine multiomic data analysis within the TREAT-AD pipeline, enabling better mapping of complex datasets to disease biology for improved therapeutic development.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • Harmonizing multiomic datasets for Alzheimer's Disease (AD) research is crucial.
  • The TREAT-AD pipeline now incorporates 19 AD Biological Domains.
  • These domains are further refined into specific subdomains for enhanced biological mapping.

Purpose of the Study:

  • To develop a method for more meaningful mapping of large multiomic datasets onto AD-associated biology.
  • To refine the biological specificity within established AD domains.
  • To facilitate integrative analysis and hypothesis generation for AD therapeutics.

Main Methods:

  • The TREAT-AD pipeline uses genome-wide, gene-centric risk scores from multiomic data.
  • Biological domains are defined by Gene Ontology (GO) terms.
  • Kappa-networks are constructed from GO terms and disease-associated genes, then fragmented into subdomains.

Main Results:

  • A core set of 115 AD-associated biological subdomains were identified.
  • These subdomains offer more specific alignment with AD-linked biology.
  • Examples include subdomains within mitochondrial metabolism, such as the electron transport chain and TCA cycle.

Conclusions:

  • The developed AD Biological Domains and subdomains provide a platform for multiomic data integration.
  • This approach supports data-driven hypothesis generation for AD.
  • It aims to accelerate the development of novel therapeutic strategies and drug targets for AD.