| 摘要: |
| 阿尔茨海默病又称老年性痴呆,是一种复杂的中枢神经系统退行性疾病,本文选取一套阿尔茨海默病全基因组关联分析(GWAS)数据,利用ProxyGeneLD 软件进行基因水平上的检验,利用WebGestalt 数据库进行遗传通路分析,识别出320个显著(P<0.05)的阿尔茨海默病相关基因、8个显著的KEGG通路和41个显著的GO功能类,这些研究结果对进一步揭示阿尔茨海默病潜在的发病机制具有重要意义。 |
| 关键词: 全基因组关联研究 遗传通路 阿尔茨海默病 |
| DOI：10.3969/j.issn.1672-5565.2016.02.10 |
| 分类号:R541 |
| 文献标识码:A |
| 基金项目: |
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| Identifying risk pathways of Alzheimer’s disease based on the data of genome-wide association studies |
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ZHOU Xiaoyu
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(Quanzhou No.2 Middle School, Guilin 540000, China)
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| Abstract: |
| Alzheimer’s disease (AD), which is also called senile dementia, is a kind of complex central nervous system degenerative diseases. In this paper, we selected a genome-wide association study dataset of AD, and conducted a gene-based test using ProxyGeneLD and a pathway analysis using WebGestalt. We identified 320 significant AD genes (P<0.05), 8 significant KEGG pathways and 41 significant GO pathways (P<0.05).These results are helpful to elucidate the potential pathogenies of Alzheimer’s disease. |
| Key words: Genome-wide association studies Genetic pathways Alzheimer’s disease |
