Mining Alzheimer's Disease Susceptible Genes Based on Data Integration Strategy
WANG Mei-qin
YANG Kai-bing
JI Ran
PANG Qing-hua
ZHANG Da-bao
ZHANG Min
Abstract：Objective To clarify the role of the known genes and new discovered genes, which were important to the pathogenesis of Al-zheimer's disease (AD), in order to provide targets for clinical prevention, diagnosis and treatment. Methods In order to predict AD suscepti-ble genes, the website databases (OMIM, AlzGene) and a variety of pathogenic gene prediction tools such as Endeavour, Gene Prospector, GLAD4U and ProphNet were used to make biological analysis. Results Disease-causing genes were directly obtained from the OMIM and Alzgene databases, and related genes were collected by 4 kinds of tools (select gene whose frequency was 3 or more). The data were shared and a list of 25 genes was gotten. These genes were CALHM1、ABCA7、A2M、CLU、SORL1、HFE、CD2AP、APP、ACE、PICALM、APOE、NOS3、MS4A6A、PLD3、CR1、ADAM10、MS4A4E、BLMH、PSEN1、CD33、PSEN2、MPO、APBB2、BIN1 and PLAU. Conclusion CALHM1, ABCA7, A2M and CLU, etc., have a certain correlation with AD, which provide theoretical basis for further research of AD genics and clinical treatment.
Keywords：Alzheimer's diseasedatabase resourcesusceptible genegene prediction tool
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1117-1123 )