The Impact of Complement Genes on the Risk of Late-Onset Alzheimer's Disease.

The Impact of Complement Genes on the Risk of Late-Onset Alzheimer's Disease.
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DOI:
10.3390/genes12030443
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发表时间:
2021-03-20
期刊:
影响因子:
3.5
通讯作者:
Morgan BP
Morgan BP
中科院分区:
生物学3区
文献类型:
--
作者:
Carpanini SM;Harwood JC;Baker E;Torvell M;The Gerad Consortium;Sims R;Williams J;Morgan BP

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迟发性阿尔茨海默病(LOAD)是一种病因不确定的神经退行性疾病,是痴呆症最常见的病因,也是全球健康面临的巨大挑战。为了提供有效的诊断和治疗,了解疾病的分子基础至关重要。当代大型全基因组关联研究(GWAS)已经确定了超过70个新的LOAD遗传易感位点。大多数与小胶质细胞或炎症途径有关,使炎症成为候选病理途径。在GWAS中最重要的是三个补体基因:CLU,编码液相补体抑制剂簇蛋白;编码补体受体1 (CR1);最近,C1S编码补体酶C1S。补体激活是炎症的关键驱动因素;补体基因的改变可能通过改变大脑的炎症状态来影响风险。为了评估补体基因与LOAD风险的关联,我们手动创建了一个全面的补体基因列表,并在基因集分析中使用LOAD汇总统计进行测试。我们证实了CLU和CR1基因与LOAD的关联,但在排除CLU和CR1后,补体基因集没有明显的关联。在IGAP数据集中未发现与其他补体基因(包括C1S)的显著关联;然而,这些可能来自更大的数据集。
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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