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The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease
Late-onset Alzheimer’s disease (LOAD), the most common cause of dementia, and a huge global health challenge, is a neurodegenerative disease of uncertain aetiology. To deliver effective diagnostics and therapeutics, understanding the molecular basis of the disease is essential. Contemporary large ge...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003605/ https://www.ncbi.nlm.nih.gov/pubmed/33804666 http://dx.doi.org/10.3390/genes12030443 |
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author | Carpanini, Sarah M. Harwood, Janet C. Baker, Emily Torvell, Megan Sims, Rebecca Williams, Julie Morgan, B. Paul |
author_facet | Carpanini, Sarah M. Harwood, Janet C. Baker, Emily Torvell, Megan Sims, Rebecca Williams, Julie Morgan, B. Paul |
author_sort | Carpanini, Sarah M. |
collection | PubMed |
description | Late-onset Alzheimer’s disease (LOAD), the most common cause of dementia, and a huge global health challenge, is a neurodegenerative disease of uncertain aetiology. To deliver effective diagnostics and therapeutics, understanding the molecular basis of the disease is essential. Contemporary large genome-wide association studies (GWAS) have identified over seventy novel genetic susceptibility loci for LOAD. Most are implicated in microglial or inflammatory pathways, bringing inflammation to the fore as a candidate pathological pathway. Among the most significant GWAS hits are three complement genes: CLU, encoding the fluid-phase complement inhibitor clusterin; CR1 encoding complement receptor 1 (CR1); and recently, C1S encoding the complement enzyme C1s. Complement activation is a critical driver of inflammation; changes in complement genes may impact risk by altering the inflammatory status in the brain. To assess complement gene association with LOAD risk, we manually created a comprehensive complement gene list and tested these in gene-set analysis with LOAD summary statistics. We confirmed associations of CLU and CR1 genes with LOAD but showed no significant associations for the complement gene-set when excluding CLU and CR1. No significant association with other complement genes, including C1S, was seen in the IGAP dataset; however, these may emerge from larger datasets. |
format | Online Article Text |
id | pubmed-8003605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80036052021-03-28 The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease Carpanini, Sarah M. Harwood, Janet C. Baker, Emily Torvell, Megan Sims, Rebecca Williams, Julie Morgan, B. Paul Genes (Basel) Article Late-onset Alzheimer’s disease (LOAD), the most common cause of dementia, and a huge global health challenge, is a neurodegenerative disease of uncertain aetiology. To deliver effective diagnostics and therapeutics, understanding the molecular basis of the disease is essential. Contemporary large genome-wide association studies (GWAS) have identified over seventy novel genetic susceptibility loci for LOAD. Most are implicated in microglial or inflammatory pathways, bringing inflammation to the fore as a candidate pathological pathway. Among the most significant GWAS hits are three complement genes: CLU, encoding the fluid-phase complement inhibitor clusterin; CR1 encoding complement receptor 1 (CR1); and recently, C1S encoding the complement enzyme C1s. Complement activation is a critical driver of inflammation; changes in complement genes may impact risk by altering the inflammatory status in the brain. To assess complement gene association with LOAD risk, we manually created a comprehensive complement gene list and tested these in gene-set analysis with LOAD summary statistics. We confirmed associations of CLU and CR1 genes with LOAD but showed no significant associations for the complement gene-set when excluding CLU and CR1. No significant association with other complement genes, including C1S, was seen in the IGAP dataset; however, these may emerge from larger datasets. MDPI 2021-03-20 /pmc/articles/PMC8003605/ /pubmed/33804666 http://dx.doi.org/10.3390/genes12030443 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Carpanini, Sarah M. Harwood, Janet C. Baker, Emily Torvell, Megan Sims, Rebecca Williams, Julie Morgan, B. Paul The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title | The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title_full | The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title_fullStr | The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title_full_unstemmed | The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title_short | The Impact of Complement Genes on the Risk of Late-Onset Alzheimer’s Disease |
title_sort | impact of complement genes on the risk of late-onset alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003605/ https://www.ncbi.nlm.nih.gov/pubmed/33804666 http://dx.doi.org/10.3390/genes12030443 |
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