Statistical Analysis of Genomic Information: Correlations Exist in Potential Relevance to the Pathogenesis of Alzheimer Disease

Tong-han Lan,Zi Yang Lan , Xiao Li,Hao Cai

In this paper the detrended fluctuation analysis (DFA) method is introduced to characterize the self-similarity of DNA sequences. Using this method, four whole genomes of the pathogenesis of Alzheimer Disease provided by NCBI are analyzed. The correlation properties in the nucleotide density distribution among these DNA sequences are explored. Calculating the sample DFA exponent based on seven different mapping rules corresponding to four different pathogenesis of Alzheimer Disease, DFA exponent α is significantly larger than 1.5. The main outcome of this study reveals existence of the correlation in the pathogenesis of Alzheimer Disease. This result points to need a new direction for analyzing and understanding the intrinsic structures of DNA sequences.