Finding the Genes Responsible for Early Stage of Alzaheimer

Background Alzheimer’s disease is one form of dementia in old age. Alzheimer’s disease is among the incurable diseases which usually show its symptoms in the seventh decade of human life. The disease may be present in the body for years without the incidence of the symptoms. Considering many research studies on this disease, the cause of Alzheimer’s disease is still unknown. Alzheimer’s disease occurs hereditary or accidentally in old people. Objectives Based on the importance of Alzheimer’s disease and lack of a cure (definitive treatment) for this disease, we decided to use Data mining method to identify the hidden patterns in effective genes causing the incidence of this disease. Materials and Methods In this analytical study, we identified the genes with altered expressions in patients diagnosed with Alzheimer’s disease. In this research, we identified genes with an increase and decrease in gene expression in patients diagnosed with Alzheimer’s disease and then presented the important sequences found in each gene of this disease as Alzheimer’s biomarkers. Microarray libraries related to Alzheimer’s disease were used and finally, we weighted the data using 10 data mining methods. Results The sequences gain a weight more than 0.5 in at least two of the weighting algorithms, would be chosen as the most important sequenses.our work shows that TGCCCC; AGCCTG; GAATAT, AATTG; And AAATTG are the most important sequences since these sequences have been chosen as the most important sequences in 8 repetition of weithening algorithms Conclusions The results of this thesis are consistent with the results obtained from the previous researches and confirm the previous assumptions. The important effect of beta amyloid and E- T PAZ and Kinase and microglobulin genes in Alzheimer’s disease is validated in the previous researches too.