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Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes
Genome-wide association studies (GWAS) have identified more than 40 loci associated with Alzheimer’s disease (AD), but the causal variants, regulatory elements, genes and pathways remain largely unknown, impeding a mechanistic understanding of AD pathogenesis. Previously, we showed that AD risk alle...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955030/ https://www.ncbi.nlm.nih.gov/pubmed/33712570 http://dx.doi.org/10.1038/s41467-021-21823-y |
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author | Novikova, Gloriia Kapoor, Manav TCW, Julia Abud, Edsel M. Efthymiou, Anastasia G. Chen, Steven X. Cheng, Haoxiang Fullard, John F. Bendl, Jaroslav Liu, Yiyuan Roussos, Panos Björkegren, Johan LM Liu, Yunlong Poon, Wayne W. Hao, Ke Marcora, Edoardo Goate, Alison M. |
author_facet | Novikova, Gloriia Kapoor, Manav TCW, Julia Abud, Edsel M. Efthymiou, Anastasia G. Chen, Steven X. Cheng, Haoxiang Fullard, John F. Bendl, Jaroslav Liu, Yiyuan Roussos, Panos Björkegren, Johan LM Liu, Yunlong Poon, Wayne W. Hao, Ke Marcora, Edoardo Goate, Alison M. |
author_sort | Novikova, Gloriia |
collection | PubMed |
description | Genome-wide association studies (GWAS) have identified more than 40 loci associated with Alzheimer’s disease (AD), but the causal variants, regulatory elements, genes and pathways remain largely unknown, impeding a mechanistic understanding of AD pathogenesis. Previously, we showed that AD risk alleles are enriched in myeloid-specific epigenomic annotations. Here, we show that they are specifically enriched in active enhancers of monocytes, macrophages and microglia. We integrated AD GWAS with myeloid epigenomic and transcriptomic datasets using analytical approaches to link myeloid enhancer activity to target gene expression regulation and AD risk modification. We identify AD risk enhancers and nominate candidate causal genes among their likely targets (including AP4E1, AP4M1, APBB3, BIN1, MS4A4A, MS4A6A, PILRA, RABEP1, SPI1, TP53INP1, and ZYX) in twenty loci. Fine-mapping of these enhancers nominates candidate functional variants that likely modify AD risk by regulating gene expression in myeloid cells. In the MS4A locus we identified a single candidate functional variant and validated it in human induced pluripotent stem cell (hiPSC)-derived microglia and brain. Taken together, this study integrates AD GWAS with multiple myeloid genomic datasets to investigate the mechanisms of AD risk alleles and nominates candidate functional variants, regulatory elements and genes that likely modulate disease susceptibility. |
format | Online Article Text |
id | pubmed-7955030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79550302021-03-28 Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes Novikova, Gloriia Kapoor, Manav TCW, Julia Abud, Edsel M. Efthymiou, Anastasia G. Chen, Steven X. Cheng, Haoxiang Fullard, John F. Bendl, Jaroslav Liu, Yiyuan Roussos, Panos Björkegren, Johan LM Liu, Yunlong Poon, Wayne W. Hao, Ke Marcora, Edoardo Goate, Alison M. Nat Commun Article Genome-wide association studies (GWAS) have identified more than 40 loci associated with Alzheimer’s disease (AD), but the causal variants, regulatory elements, genes and pathways remain largely unknown, impeding a mechanistic understanding of AD pathogenesis. Previously, we showed that AD risk alleles are enriched in myeloid-specific epigenomic annotations. Here, we show that they are specifically enriched in active enhancers of monocytes, macrophages and microglia. We integrated AD GWAS with myeloid epigenomic and transcriptomic datasets using analytical approaches to link myeloid enhancer activity to target gene expression regulation and AD risk modification. We identify AD risk enhancers and nominate candidate causal genes among their likely targets (including AP4E1, AP4M1, APBB3, BIN1, MS4A4A, MS4A6A, PILRA, RABEP1, SPI1, TP53INP1, and ZYX) in twenty loci. Fine-mapping of these enhancers nominates candidate functional variants that likely modify AD risk by regulating gene expression in myeloid cells. In the MS4A locus we identified a single candidate functional variant and validated it in human induced pluripotent stem cell (hiPSC)-derived microglia and brain. Taken together, this study integrates AD GWAS with multiple myeloid genomic datasets to investigate the mechanisms of AD risk alleles and nominates candidate functional variants, regulatory elements and genes that likely modulate disease susceptibility. Nature Publishing Group UK 2021-03-12 /pmc/articles/PMC7955030/ /pubmed/33712570 http://dx.doi.org/10.1038/s41467-021-21823-y Text en © The Author(s) 2021 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/. |
spellingShingle | Article Novikova, Gloriia Kapoor, Manav TCW, Julia Abud, Edsel M. Efthymiou, Anastasia G. Chen, Steven X. Cheng, Haoxiang Fullard, John F. Bendl, Jaroslav Liu, Yiyuan Roussos, Panos Björkegren, Johan LM Liu, Yunlong Poon, Wayne W. Hao, Ke Marcora, Edoardo Goate, Alison M. Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title | Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title_full | Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title_fullStr | Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title_full_unstemmed | Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title_short | Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
title_sort | integration of alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955030/ https://www.ncbi.nlm.nih.gov/pubmed/33712570 http://dx.doi.org/10.1038/s41467-021-21823-y |
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