Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries

Abstract Alzheimer’s disease and related dementias (AD/ADRDs) pose a significant global public health challenge. To effectively implement personalized therapeutic interventions on a global scale, it is essential to identify disease-causing, risk, and resilience factors across diverse ancestral backg...

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Main Authors: Marzieh Khani, Fulya Akçimen, Spencer M. Grant, Suleyman Can Akerman, Paul Suhwan Lee, Faraz Faghri, Hampton Leonard, Jonggeol Jeffrey Kim, Mary B. Makarious, Mathew J. Koretsky, Jeffrey D. Rothstein, Cornelis Blauwendraat, Mike A. Nalls, Andrew Singleton, Sara Bandres-Ciga
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-62108-y
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author Marzieh Khani
Fulya Akçimen
Spencer M. Grant
Suleyman Can Akerman
Paul Suhwan Lee
Faraz Faghri
Hampton Leonard
Jonggeol Jeffrey Kim
Mary B. Makarious
Mathew J. Koretsky
Jeffrey D. Rothstein
Cornelis Blauwendraat
Mike A. Nalls
Andrew Singleton
Sara Bandres-Ciga
author_facet Marzieh Khani
Fulya Akçimen
Spencer M. Grant
Suleyman Can Akerman
Paul Suhwan Lee
Faraz Faghri
Hampton Leonard
Jonggeol Jeffrey Kim
Mary B. Makarious
Mathew J. Koretsky
Jeffrey D. Rothstein
Cornelis Blauwendraat
Mike A. Nalls
Andrew Singleton
Sara Bandres-Ciga
author_sort Marzieh Khani
collection DOAJ
description Abstract Alzheimer’s disease and related dementias (AD/ADRDs) pose a significant global public health challenge. To effectively implement personalized therapeutic interventions on a global scale, it is essential to identify disease-causing, risk, and resilience factors across diverse ancestral backgrounds. This study leveraged biobank-scale data to conduct a large multi-ancestry whole-genome sequencing characterization of AD/ADRDs. We thoroughly explored the role of protein-coding and splicing variants from key genes associated with AD/ADRDs across 11 ancestries, utilizing data from five distinct biobanks, including a total of 25,001 cases and 93,542 controls. We compiled the most extensive catalog of known and novel genetic variation in AD/ADRDs in a global context, providing clinical insights into their genetic-phenotypic correlations. A thorough assessment of APOE revealed ancestry-driven modulation of APOE-associated AD/ADRDs, as well as disease-modifying effects conferred by several variants among APOE ε4 carriers. Finally, we present an accessible and user-friendly platform to support future ADRD research ( https://niacard.shinyapps.io/MAMBARD_browser/ ).
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spelling doaj-art-930dc24c42e8455ca0155a506f6d1f792025-08-20T03:05:15ZengNature PortfolioNature Communications2041-17232025-08-0116112210.1038/s41467-025-62108-yBiobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestriesMarzieh Khani0Fulya Akçimen1Spencer M. Grant2Suleyman Can Akerman3Paul Suhwan Lee4Faraz Faghri5Hampton Leonard6Jonggeol Jeffrey Kim7Mary B. Makarious8Mathew J. Koretsky9Jeffrey D. Rothstein10Cornelis Blauwendraat11Mike A. Nalls12Andrew Singleton13Sara Bandres-Ciga14Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthBrain Science Institute, Johns Hopkins University School of MedicineCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthBrain Science Institute, Johns Hopkins University School of MedicineCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthCenter for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of HealthAbstract Alzheimer’s disease and related dementias (AD/ADRDs) pose a significant global public health challenge. To effectively implement personalized therapeutic interventions on a global scale, it is essential to identify disease-causing, risk, and resilience factors across diverse ancestral backgrounds. This study leveraged biobank-scale data to conduct a large multi-ancestry whole-genome sequencing characterization of AD/ADRDs. We thoroughly explored the role of protein-coding and splicing variants from key genes associated with AD/ADRDs across 11 ancestries, utilizing data from five distinct biobanks, including a total of 25,001 cases and 93,542 controls. We compiled the most extensive catalog of known and novel genetic variation in AD/ADRDs in a global context, providing clinical insights into their genetic-phenotypic correlations. A thorough assessment of APOE revealed ancestry-driven modulation of APOE-associated AD/ADRDs, as well as disease-modifying effects conferred by several variants among APOE ε4 carriers. Finally, we present an accessible and user-friendly platform to support future ADRD research ( https://niacard.shinyapps.io/MAMBARD_browser/ ).https://doi.org/10.1038/s41467-025-62108-y
spellingShingle Marzieh Khani
Fulya Akçimen
Spencer M. Grant
Suleyman Can Akerman
Paul Suhwan Lee
Faraz Faghri
Hampton Leonard
Jonggeol Jeffrey Kim
Mary B. Makarious
Mathew J. Koretsky
Jeffrey D. Rothstein
Cornelis Blauwendraat
Mike A. Nalls
Andrew Singleton
Sara Bandres-Ciga
Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
Nature Communications
title Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
title_full Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
title_fullStr Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
title_full_unstemmed Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
title_short Biobank-scale genetic characterization of Alzheimer’s disease and related dementias across diverse ancestries
title_sort biobank scale genetic characterization of alzheimer s disease and related dementias across diverse ancestries
url https://doi.org/10.1038/s41467-025-62108-y
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