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MiRNA-based disease relation analysis method and device

A technology of relationship analysis and disease, applied in the field of bioinformatics, can solve problems such as difficult relationship, poor applicability, rough analysis results, etc.

Active Publication Date: 2018-06-05
SHENZHEN INST OF ADVANCED TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But for some diseases, the conditions that play a role in genes can be very complex, making it more difficult to analyze the relationship between diseases through genes
[0004] At present, the methods for analyzing the relationship between diseases generally include the analysis of the whole database of cases through big data, or are limited to the gene level and then analyze the relationship between diseases according to the gene, resulting in rough, general and unreasonable analysis results. Inaccurate, poor applicability, low accuracy, bring great inconvenience to the research and treatment of medical workers and scientific researchers

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  • MiRNA-based disease relation analysis method and device

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Embodiment 1

[0061] refer to figure 2 , the first embodiment of the present invention provides a method for analyzing the relationship between diseases based on miRNA, including:

[0062] Step S1, constructing miRNA functional information according to the miRNA expression in patients with the target disease and normal control population;

[0063] The above-mentioned expression data information may include gene expression profiles or deep sequencing data for miRNAs of different populations.

[0064] As mentioned above, gene expression profiling refers to the construction of unbiased cDNA library of cells or tissues in a certain state, large-scale cDNA sequencing, collection of cDNA sequence fragments, qualitative and quantitative analysis of their mRNA population composition, so as to describe the specific cell Or organize the gene expression type and abundance information in a specific state, and the data table compiled in this way is called gene expression profile.

[0065] It should b...

Embodiment 2

[0075] refer to image 3 and Figure 4 , the second embodiment of the present invention provides a method for analyzing the relationship between diseases based on miRNA, based on the above figure 2 In the first embodiment shown, the step S1 includes:

[0076] Step S11, calculating the expression difference between the expression of each miRNA between the patients with the target disease and the normal control population, and screening out the characteristic miRNA set containing the characteristic miRNA according to the expression difference;

[0077] As mentioned above, the miRNA expression of the patients suffering from the target disease is compared with the miRNA expression of the normal control population, and the expression difference between the two is calculated.

[0078] As mentioned above, it needs to be understood that differential expression not only helps to clarify the mysteries of life, but also provides an important theoretical basis for gene diagnosis and tr...

Embodiment 3

[0100] refer to Figure 5 , the third embodiment of the present invention provides a method for analyzing the relationship between diseases based on miRNA, based on the above figure 2 In the first embodiment shown, the step S3 includes:

[0101] Step S31, establishing a standard set of pathogenic genes according to the pathogenic genes associated with the disease;

[0102] As mentioned above, to construct a standard set of disease-causing genes, first standardize the name of the disease, and standardize the name of the disease according to the disease naming standard specification online or in the database. The basis can be ICD-10, or other standards used as standards. Disease name nomenclature. Furthermore, diseases are classified. Then, through the data capture of the online database, the pathogenic genes related to each disease are collected as the gold standard set of pathogenic genes, and the same information is combined.

[0103] The form of information captured onl...

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Abstract

The invention provides a miRNA-based disease relation analysis method and device. The method includes: constructing miRNA functional information according to miRNA expression of patients with a targetdisease and a normal control group; acquiring disease class information; calculating between-class distance between the miRNA functional information and the disease class information; constructing acomposite network according to the between-class distance, and generating disease relation information corresponding to the target disease. The method is detailed and accurate in analysis result and high in applicability, can be applied to molecular complex disease complication prediction analysis related theoretical researches and various clinical complex disease recovery assessment and has important significance to analysis in biology and medical science related fields.

Description

technical field [0001] The present invention relates to the technical field of biological information, more specifically, to a method and device for analyzing the relationship between diseases based on miRNA. Background technique [0002] The occurrence of diseases is usually a complex process, and multiple diseases often have concurrent symptoms or cause related diseases. Current research believes that there are often some underlying key biological processes in the occurrence of diseases. [0003] The current medical science is very clear that there is indeed a very large relationship between a certain type of gene variation and a certain type of disease. For example, it is now well established that people who are predisposed to Alzheimer's disease and breast cancer carry certain gene variants, which means that people with this variant gene have a significantly higher risk of developing these two diseases than normal people. The link between disease and gene variants could...

Claims

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Application Information

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IPC IPC(8): G06F19/18G06F19/20G06F19/24G06F19/28
CPCG16B20/00G16B25/00G16B40/00G16B50/00
Inventor 王莹莹蔡云鹏
Owner SHENZHEN INST OF ADVANCED TECH
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