Identify And Analyze The Candidate Genes Of Alzheimer’s Diseases By The Deviation Amplitude Of Gene Expression Level

Alzheimer’s disease (AD) is a progressive development ofneurodegenerative diseases, which is the most common form of dementia. And untilnow have not yet found effective measures to treat this disease, so the disease can’t becured, and will eventually lead to death. At present, there are about25millionAlzheimer’s patients around the world. The experts estimate that dementia patients inChina will reach10.2million by2020, and will reach22.5million in2040.By that time,the number of Alzheimer’s patients in China will account for a quarter of the world.Alzheimer’s disease is becoming one of the most major diseases that threaten the healthof the elderly. The medical profession now has not found an effective way to cure thisdisease, so figure out the causes of this disease and design drugs to treat or prevent thedisease is becoming a common concern of the whole society. In order to find a methodto treat this disease, we must firstly understand the pathogenesis of it. Through theautopsy found that the most important pathological feature of patients is senile plaquesand neurofibrillary tangles in the brain and massive death of neurons. Currently themainstream argument about the cause of Alzheimer’s disease is A hypothesis, thehypothesis holds that the-amyloid peptide(A) deposition is the major cause of AD.Therefore, more and more researchers begin to turn their attention to find out the geneswhich can cause the deposition of A. With DNA microarray technology becomingmature, using a combination of computer and mathematical, designing algorithms todeal with gene expression data, and then indentifying genes which are associated withAlzheimer’s disease become feasible. In this paper, in order to identify AD-relatedcandidate genes, we use the idea that acrobats walking on a wire to design algorithms todeal with the gene expression data. Through the use of the designed algorithm,52 candidate genes are identified. The number of candidate genes whose average deviationincrease consistently are27, the average deviation decrease consistently are25.Analysis of these candidate genes, the following conclusions can be drawn:1. Genecnr1, avpr2, agtr1and ptafr are located at the membrane, and are involved in signaltransduction. Their abnormal gene expression levels are closely associated with ADdisease;2. Reduced transport capacity in the cytoplasm may be associated with ADdisease;3. Gene cacnb2and cacna1e are located at the membrane. They are associatedwith calcium ion and involved in signal transduction, their abnormal expression levelsmay be important factors that lead to disruption of calcium homeostasis. For theimbalance of all of these genes expression level caused A deposition ultimately and thelarge number of neuronal death.