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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...

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Autores principales: Carpanini, Sarah M., Harwood, Janet C., Baker, Emily, Torvell, Megan, Sims, Rebecca, Williams, Julie, Morgan, B. Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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