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Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease

Genome-wide association studies (GWAS) of Alzheimer’s disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian,...

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Autores principales: Lake, Julie, Warly Solsberg, Caroline, Kim, Jonggeol Jeffrey, Acosta-Uribe, Juliana, Makarious, Mary B., Li, Zizheng, Levine, Kristin, Heutink, Peter, Alvarado, Chelsea X., Vitale, Dan, Kang, Sarang, Gim, Jungsoo, Lee, Kun Ho, Pina-Escudero, Stefanie D., Ferrucci, Luigi, Singleton, Andrew B., Blauwendraat, Cornelis, Nalls, Mike A., Yokoyama, Jennifer S., Leonard, Hampton L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615750/
https://www.ncbi.nlm.nih.gov/pubmed/37198259
http://dx.doi.org/10.1038/s41380-023-02089-w
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author Lake, Julie
Warly Solsberg, Caroline
Kim, Jonggeol Jeffrey
Acosta-Uribe, Juliana
Makarious, Mary B.
Li, Zizheng
Levine, Kristin
Heutink, Peter
Alvarado, Chelsea X.
Vitale, Dan
Kang, Sarang
Gim, Jungsoo
Lee, Kun Ho
Pina-Escudero, Stefanie D.
Ferrucci, Luigi
Singleton, Andrew B.
Blauwendraat, Cornelis
Nalls, Mike A.
Yokoyama, Jennifer S.
Leonard, Hampton L.
author_facet Lake, Julie
Warly Solsberg, Caroline
Kim, Jonggeol Jeffrey
Acosta-Uribe, Juliana
Makarious, Mary B.
Li, Zizheng
Levine, Kristin
Heutink, Peter
Alvarado, Chelsea X.
Vitale, Dan
Kang, Sarang
Gim, Jungsoo
Lee, Kun Ho
Pina-Escudero, Stefanie D.
Ferrucci, Luigi
Singleton, Andrew B.
Blauwendraat, Cornelis
Nalls, Mike A.
Yokoyama, Jennifer S.
Leonard, Hampton L.
author_sort Lake, Julie
collection PubMed
description Genome-wide association studies (GWAS) of Alzheimer’s disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer’s disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer’s disease and related dementias.
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spelling pubmed-106157502023-11-01 Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease Lake, Julie Warly Solsberg, Caroline Kim, Jonggeol Jeffrey Acosta-Uribe, Juliana Makarious, Mary B. Li, Zizheng Levine, Kristin Heutink, Peter Alvarado, Chelsea X. Vitale, Dan Kang, Sarang Gim, Jungsoo Lee, Kun Ho Pina-Escudero, Stefanie D. Ferrucci, Luigi Singleton, Andrew B. Blauwendraat, Cornelis Nalls, Mike A. Yokoyama, Jennifer S. Leonard, Hampton L. Mol Psychiatry Article Genome-wide association studies (GWAS) of Alzheimer’s disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer’s disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer’s disease and related dementias. Nature Publishing Group UK 2023-05-18 2023 /pmc/articles/PMC10615750/ /pubmed/37198259 http://dx.doi.org/10.1038/s41380-023-02089-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lake, Julie
Warly Solsberg, Caroline
Kim, Jonggeol Jeffrey
Acosta-Uribe, Juliana
Makarious, Mary B.
Li, Zizheng
Levine, Kristin
Heutink, Peter
Alvarado, Chelsea X.
Vitale, Dan
Kang, Sarang
Gim, Jungsoo
Lee, Kun Ho
Pina-Escudero, Stefanie D.
Ferrucci, Luigi
Singleton, Andrew B.
Blauwendraat, Cornelis
Nalls, Mike A.
Yokoyama, Jennifer S.
Leonard, Hampton L.
Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title_full Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title_fullStr Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title_full_unstemmed Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title_short Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
title_sort multi-ancestry meta-analysis and fine-mapping in alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615750/
https://www.ncbi.nlm.nih.gov/pubmed/37198259
http://dx.doi.org/10.1038/s41380-023-02089-w
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