The Caribbean-Hispanic Alzheimer's disease brain transcriptome reveals ancestry-specific disease mechanisms.

Neurobiol Dis

The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA; The Department of Neurology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032, USA; Gertrude H. Sergievsky Centre, Columbia University Medical Center, 630 West 168th St., New York, NY 10032, USA. Electronic address:

Published: January 2023

AI Article Synopsis

  • Identifying molecular profiles specific to different ancestry groups is key to finding new ways to address late-onset Alzheimer's Disease (LOAD) in high-risk populations beyond Europeans.
  • The study analyzed gene expression in the brain tissue of 39 Caribbean Hispanics and compared it with data from non-Hispanic White samples, revealing 2802 significant genes related to LOAD, with many showing consistent patterns across ethnicities.
  • The findings highlight the importance of including diverse populations in genetic research to enhance understanding and treatment options for LOAD.

Article Abstract

Identifying ancestry-specific molecular profiles of late-onset Alzheimer's Disease (LOAD) in brain tissue is crucial to understand novel mechanisms and develop effective interventions in non-European, high-risk populations. We performed gene differential expression (DE) and consensus network-based analyses in RNA-sequencing data of postmortem brain tissue from 39 Caribbean Hispanics (CH). To identify ancestry-concordant and -discordant expression profiles, we compared our results to those from two independent non-Hispanic White (NHW) samples (n = 731). In CH, we identified 2802 significant DE genes, including several LOAD known-loci. DE effects were highly concordant across ethnicities, with 373 genes transcriptome-wide significant in all three cohorts. Cross-ancestry meta-analysis found NPNT to be the top DE gene. We replicated over 82% of meta-analyses genome-wide signals in single-nucleus RNA-seq data (including NPNT and LOAD known-genes SORL1, FBXL7, CLU, ABCA7). Increasing representation in genetic studies will allow for deeper understanding of ancestry-specific mechanisms and improving precision treatment options in understudied groups.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039465PMC
http://dx.doi.org/10.1016/j.nbd.2022.105938DOI Listing

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