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Basic Science and Pathogenesis.

Elliot Keats Shwab1, Daniel Gingerich1, Dellila Hodgson1

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This study reveals shared and distinct genetic drivers of Late Onset Alzheimer's disease (LOAD) in European and African ancestries. Findings highlight cell-subtype specific gene expression differences impacting LOAD pathogenesis across diverse populations.

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Area of Science:

  • Genomics
  • Neuroscience
  • Population Genetics

Background:

  • Late Onset Alzheimer's disease (LOAD) is complex and heterogeneous, posing challenges for genetic studies.
  • Most genetic research on LOAD has focused on European ancestry populations, neglecting other groups.
  • Understanding genetic drivers across diverse ancestries is crucial for a comprehensive view of LOAD.

Purpose of the Study:

  • To investigate the genetic underpinnings of LOAD in diverse populations.
  • To identify shared (pan-ethnic) and distinct (ancestry-specific) genetic drivers of LOAD between European and African ancestries.

Main Methods:

  • Single-nucleus multi-omics (snRNA-seq and snATAC-seq) were performed on cortical tissues from European (EA) and African ancestry (AA) LOAD and control donors.
  • An integrative genomic pipeline was used to identify differentially expressed genes (DEGs) and candidate cis-regulatory elements (cCREs).
  • Differential expression analysis and ancestry interaction modeling were employed to infer shared and divergent DEGs.

Main Results:

  • 32 cell subtypes were identified in both EA and AA, with highest DEGs in specific neuronal and glial subtypes.
  • Differential chromatin interactions were observed, impacting gene dysregulation across ancestries, exemplified by APOE regulation in microglia.
  • Pan-ethnic DEGs were enriched in neuronal subtypes involved in cellular growth, extracellular matrix, and membrane trafficking.
  • More ancestry-specific DEGs were found in AA, particularly in excitatory neurons (fatty acid metabolism, neuronal structure) and inhibitory neurons (respiration, synaptic transmission).

Conclusions:

  • The study enhances understanding of shared and distinct cell-subtype gene dysregulation networks in LOAD.
  • Biological processes underlying LOAD show both commonalities and differences between African and European ancestries.
  • These findings contribute to a more nuanced view of LOAD genetics across diverse populations.