Method for predicting common disease-causing genes of two diseases

A disease-causing gene and disease technology, applied in the field of disease-causing gene prediction, can solve problems such as biased clinical data and difficulty in popularization, and achieve the effect of accurate and precise medical treatment

Inactive Publication Date: 2016-06-01
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for predicting the common pathogenic gene of two diseases, so as to

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  • Method for predicting common disease-causing genes of two diseases
  • Method for predicting common disease-causing genes of two diseases
  • Method for predicting common disease-causing genes of two diseases

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Embodiment Construction

[0031] In order to better illustrate the present invention, the present invention will be described in detail with a preferred embodiment and with accompanying drawings, specifically as follows:

[0032] Such as figure 1 As shown, the method for predicting common pathogenic genes of two diseases provided by the present invention includes the following steps S1-S3:

[0033] S1: Collect the known pathogenic genes of the two diseases, and obtain the protein interaction network of the two diseases;

[0034] It specifically includes: selecting the known pathogenic genes of two diseases as seed gene sets a and b, the seed gene set a contains several seed genes of disease A, and the seed gene set b contains several seed genes of disease B;

[0035] S2: Find the position of the protein corresponding to the causative gene of the above two diseases in the protein network;

[0036] Specifically, it includes: draw a protein action network diagram with seed gene sets a and b as the core ...

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Abstract

The invention provides a method for predicting common disease-causing genes of two diseases. The method includes the following steps that known disease-causing genes of the two diseases are collected respectively, and a protein function network of the two diseases is obtained; positions of protein corresponding to the disease-causing genes of the two diseases in the protein network are searched for; after gene expansion is conducted based on the positions, the common disease-causing genes of the two diseases are searched for and obtained from overlapped genes in the expansion genes. According to the method, gene expansion is conducted in a protein function network diagram corresponding to the genes of the two diseases, the common disease-causing genes of the two diseases is selected from common genes in the expansion genes, a random walking method, a gene set enrichment and analysis method and a hypergeometric inspection method are applied in the predicting process, and thus the common disease-causing genes can be selected more accurately. By means of the method, the key drive genes possibly influencing the two diseases can be predicted, and precise medical treatment can be achieved.

Description

technical field [0001] The invention relates to the technical field of prediction of disease-causing genes, in particular to a method for predicting common disease-causing genes of two diseases. Background technique [0002] At present, in the field of disease treatment and prediction, some patients suffer from more than one disease at the same time. Diagnosis and treatment of individual genetic differences. However, in reality, the probability of certain two specific diseases occurring on a certain individual is relatively low, and once they occur, the burden of disease is very heavy. For example, a study found that the rate of tuberculosis in patients with schizophrenia was 1.33 ~2.30%, compared with the prevalence rate of active tuberculosis in the general population of 459 / 100,000 reported in the fifth national tuberculosis epidemiology sampling survey in 2010, the prevalence rate of tuberculosis in the special group of patients with schizophrenia is normal 2.9 to 5.5 ...

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Application Information

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IPC IPC(8): G06F19/18
CPCG16B20/00
Inventor 宋月红黄涛蔡雷陈文忠贺林
Owner SHANGHAI JIAO TONG UNIV
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