Identification of pathogenic cell types and shared genetic loci and genes for Alzheimer's disease and inflammatory bowel disease.

IF 2.5 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Jingjing Zhang, Yuqing Yan, Liqin Han, Rui Qiao, Xiaohui Niu, Peiluan Li
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引用次数: 0

Abstract

Background: Comorbidities and genetic correlations between gastrointestinal tract diseases and psychiatric disorders have been widely reported, but the underlying intrinsic link between Alzheimer's disease (AD) and inflammatory bowel disease (IBD) is not adequately understood.

Methods: To identify pathogenic cell types of AD and IBD and explore their shared genetic architecture, we developed Pathogenic Cell types and shared Genetic Loci (PCGL) framework, which studied AD and IBD and its two subtypes of ulcerative colitis (UC) and Crohn's disease (CD).

Results: We found that monocytes and CD8 T cells were the enriched pathogenic cell types of AD and IBDs, respectively. By PCGL framework, there was a significant global genetic correlation between AD and each of IBD, UC, and CD. Especially, local genetic correlations between AD and IBD showed strong signals in chr6. Bidirectional two-sample MR Analyses also validated these. Cross-trait meta-analysis identified two key genetic loci rs660895 (on chr6) and rs917117 (on chr7), which have not been previously reported. Two loci are located on the genes HLA-DRB1 and JAZF1, respectively. MAGMA genome-wide gene-based analysis identified six overlapping genes including HLA-DRB1. Subsequently, for one thing, SMR analyses further validated six shared genes in specific tissues and monocytes. For another, pathway enrichment analysis revealed shared genes were enriched in several natural killer cell mediated cytotoxicity and chemokine signaling pathways.

Conclusions: PCGL not only revealed the significant genetic correlations underlying AD and IBDs but also identified enriched pathogenic cell types and new shared loci and genes. We highlighted the mediation of HLA-DRB1 effects in the comorbidity mechanisms.

阿尔茨海默病和炎症性肠病的致病细胞类型和共享基因位点和基因的鉴定。
背景:胃肠道疾病和精神疾病之间的合并症和遗传相关性已被广泛报道,但阿尔茨海默病(AD)和炎症性肠病(IBD)之间潜在的内在联系尚未充分了解。方法:为了鉴定AD和IBD的致病细胞类型并探索它们的共同遗传结构,我们建立了致病细胞类型和共享遗传位点(PCGL)框架,对AD和IBD及其溃疡性结肠炎(UC)和克罗恩病(CD)两个亚型进行了研究。结果:我们发现单核细胞和CD8 T细胞分别是AD和IBDs富集的致病细胞类型。在PCGL框架下,AD与IBD、UC和CD均存在显著的全局遗传相关性,特别是AD与IBD的局部遗传相关性在chr6中表现出强烈的信号。双向双样本MR分析也验证了这些。交叉性状荟萃分析发现了两个关键遗传位点rs660895 (chr6)和rs917117 (chr7),这两个位点以前没有报道过。两个基因座分别位于HLA-DRB1和JAZF1基因上。MAGMA全基因组基因分析鉴定出包括HLA-DRB1在内的6个重叠基因。随后,一方面,SMR分析进一步验证了特定组织和单核细胞中的六个共享基因。另一方面,途径富集分析显示,共享基因在几种自然杀伤细胞介导的细胞毒性和趋化因子信号通路中富集。结论:PCGL不仅揭示了AD和ibd之间的显著遗传相关性,还发现了丰富的致病细胞类型和新的共享位点和基因。我们强调了HLA-DRB1在合并症机制中的中介作用。
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来源期刊
Briefings in Functional Genomics
Briefings in Functional Genomics BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.30
自引率
2.50%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Briefings in Functional Genomics publishes high quality peer reviewed articles that focus on the use, development or exploitation of genomic approaches, and their application to all areas of biological research. As well as exploring thematic areas where these techniques and protocols are being used, articles review the impact that these approaches have had, or are likely to have, on their field. Subjects covered by the Journal include but are not restricted to: the identification and functional characterisation of coding and non-coding features in genomes, microarray technologies, gene expression profiling, next generation sequencing, pharmacogenomics, phenomics, SNP technologies, transgenic systems, mutation screens and genotyping. Articles range in scope and depth from the introductory level to specific details of protocols and analyses, encompassing bacterial, fungal, plant, animal and human data. The editorial board welcome the submission of review articles for publication. Essential criteria for the publication of papers is that they do not contain primary data, and that they are high quality, clearly written review articles which provide a balanced, highly informative and up to date perspective to researchers in the field of functional genomics.
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