Your browser doesn't support javascript.
loading
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.
Afiliação
  • Carpanini SM; UK Dementia Research Institute at Cardiff University, School of Medicine, Cardiff, CF24 4HQ, UK.
  • Harwood JC; Division of Infection and Immunity, School of Medicine, Systems Immunity Research Institute, Cardiff University, Cardiff, CF14 4XN, UK.
  • Baker E; Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, UK.
  • Torvell M; UK Dementia Research Institute at Cardiff University, School of Medicine, Cardiff, CF24 4HQ, UK.
  • The Gerad Consortium; UK Dementia Research Institute at Cardiff University, School of Medicine, Cardiff, CF24 4HQ, UK.
  • Sims R; Division of Infection and Immunity, School of Medicine, Systems Immunity Research Institute, Cardiff University, Cardiff, CF14 4XN, UK.
  • Morgan BP; Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, CF24 4HQ, UK.
Genes (Basel) ; 12(3)2021 03 20.
Article em En | MEDLINE | ID: mdl-33804666
ABSTRACT
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complemento C1s / Receptores de Complemento 3b / Clusterina / Doença de Alzheimer Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complemento C1s / Receptores de Complemento 3b / Clusterina / Doença de Alzheimer Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genes (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido