Introduction Advancement in the Diagnosis and Treatment of Alzheimer's Disease through Analysis High-throughput Sequencing Using R Packages

Abstract

Alzheimer's disease (AD), a common neurodegenerative disease, accounts for 80% in dementia, especially in the elderly people aged 65 years and above. Nowadays, with the acceleration of the population ageing, the incidence will continue to increase in the absence of new effective pathological interventional strategy, especially in developing countries. The high-throughput sequencing technologies and the integrated algorithms employed to discover more biomarkers and risk genes, such as APOE4, TREM2 and WWTR. This review mainly summarizes the new AD risk genes, marker molecules for diagnosis and targeting treatment using high-throughput sequencing technology and R language algorithm in recent years, which is conducive to the in-depth understanding of the pathogenesis and pathological progress of AD, and provides new ideas and directions for the early diagnosis, intervention and treatment of AD, eventually improves patient quality of life, reduces medical expenses and social burden.