建立基因序列函数并识别阿尔茨海默病致病基因

发布时间：2018-03-14 07:07

本文选题：阿尔茨海默病　切入点：基因表达　出处：《四川师范大学》2012年硕士论文　论文类型：学位论文

【摘要】：阿尔茨海默病是痴呆病中最普通、最常见的一种。患者表现为记忆力逐渐衰退甚至丧失,认知功能受阻。据2010年的统计数据显示,我国的老年痴呆症患者已己超过600万人。阿尔茨海默病已成为威胁老年人健康的最主要的疾病之一,目前还没有治疗阿尔茨海默病的有效办法。因此,寻找治疗阿尔茨海默病的根本方法已迫在眉睫。已有研究证明,了解阿尔茨海默病的致病原理,是寻找有效治疗方法的根本途径。其关键在于识别阿尔茨海默病的致病基因。通过基因芯片技术得到的基因表达数据庞大,样本众多,要快速找到阿尔茨海默病的候选致病基因必须找到一个恰当的切入点。如果找到与已知致病基因相关的基因,其很有可能是阿尔茨海默病的候选致病基因。目前已经被证实的阿尔茨海默病的致病基因有载脂蛋白E(APOE),早老素基因1(presenilins1)和早老素基因2(presenilins2)。本文正是以已知的致病基因为中心,设计算法,找出与已知致病基因相关的基因,作为为生物验证的候选基因。主要研究内容如下：首先,理解并掌握基本蚁群算法的原理、模型及实现步骤,了解本文的数据来源和掌握数据结构；其次,建立基因序列函数,结合基本蚁群算法和K均值聚类算法创建本文独有的算法模式,并对本文设计的算法进行修改、完善。最后,利用本文的算法,找到已知致病基因的伴随基因,即阿尔茨海默病的候选致病基因,得出结论。
[Abstract]:Alzheimer's disease is the most common and most common form of dementia. It is characterized by a gradual decline in memory and loss of cognitive function. Alzheimer's disease has become one of the most important diseases threatening the health of the elderly, and there is no effective treatment for Alzheimer's disease. It is urgent to find a fundamental way to treat Alzheimer's disease. It has been proved that understanding the pathogenesis of Alzheimer's disease, Is the fundamental way to find an effective treatment. The key is to identify the genes that cause Alzheimer's disease. To quickly find candidate genes for Alzheimer's disease, you have to find the right entry point. If you find a gene associated with a known pathogenetic gene, It is very likely that it is a candidate gene for Alzheimer's disease. At present, the pathogenetic genes of Alzheimer's disease are apolipoprotein (APOEO), presenilins1 (1) and presenilins 2 (2). This paper focuses on known pathogenetic genes. The algorithm is designed to find out the genes related to known pathogenic genes as candidate genes for biological verification. The main contents of this study are as follows:. First of all, understand and master the basic ant colony algorithm principle, model and implementation steps, understand the data source and grasp the data structure; Secondly, the gene sequence function is established, combined with basic ant colony algorithm and K-means clustering algorithm, the unique algorithm pattern is created, and the algorithm designed in this paper is modified and improved. Finally, using the algorithm in this paper, we find the adjoint gene of known pathogenicity gene, that is, the candidate pathogenic gene of Alzheimer's disease, and draw a conclusion.
【学位授予单位】：四川师范大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R749.16

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