Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer's Disease.

ABSTRACT: As an efficient method, genome-wide association study (GWAS) is used to identify the association between genetic variation and pathological phenotypes, and many significant genetic variations founded by GWAS are closely associated with human diseases. However, it is not enough to mine only a single marker effect variation on complex biological phenotypes. Mining highly correlated single nucleotide polymorphisms (SNP) is more meaningful for the study of Alzheimer's disease (AD). In this paper, we used two frequent pattern mining (FPM) framework, the FP-Growth and Eclat algorithms, to analyze the GWAS results of functional magnetic resonance imaging (fMRI) phenotypes. Moreover, we applied the definition of confidence to FP-Growth and Eclat to enhance the FPM framework. By calculating the con

SUBMITTER: Liang H 

PROVIDER: S-EPMC8871801 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature