Disease correlation analysis system and method based on gene big data

Abstract

The invention discloses a disease correlation analysis system and method based on gene big data, and relates to the technical field of biological information. Comprising a co-expression network diagram module, a pathogenic SNP group detection module and a disease association model generation module, the co-expression network diagram module obtains gene expression data sets of a plurality of users suffering from target diseases; constructing a co-expression network diagram of the gene expression data set; the pathogenic SNP group detection module determines a pathogenic SNP group of the target disease according to the co-expression network diagram; and the disease association model generation module quantifies the association relationship between the target disease and the pathogenic SNP group to obtain a disease association model of the target disease. The co-expression network diagram is constructed through the gene expression data set, and then the pathogenic SNP group of the target disease is determined, so that the relationship between the target disease and the pathogenic SNP group can be quantified, and the disease relevance between the gene expression and the disease is enhanced.

Description

technical field [0001] The invention relates to the technical field of biological information, in particular to a disease association analysis system and method based on gene big data. Background technique [0002] With the deep integration of computer science and life science, computer-related technologies are increasingly used in the analysis and mining of massive biological data. Among them, disease correlation analysis has become a research focus in the field of bioinformatics. [0003] Through GWAS (Genome-wide Association Study, genome-wide association analysis), the differences in SNP (Single Nucleotide Polymorphism, single nucleic acid polymorphism) frequencies of different individuals can be analyzed to identify some possible causative genes. [0004] In the prior art, the relationship between a gene and a disorder is usually determined by the relationship between a single SNP site and the disorder phenotype. Since genes often work in an interactive manner rather ...

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Problems solved by technology

Causes condition association analyzes to yield weak condition associations between gene expression and conditions

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