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Disease risk predication method and disease risk predication system

A disease risk and prediction method technology, applied in the field of bioinformatics, can solve problems such as high risk of disease, and achieve the effect of reducing future risk of disease

Inactive Publication Date: 2016-12-07
为朔医学数据科技(北京)有限公司
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AI Technical Summary

Problems solved by technology

The risk is greater if the relative has an earlier onset (before age 60), or if multiple relatives have been diagnosed with colorectal cancer

Method used

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  • Disease risk predication method and disease risk predication system
  • Disease risk predication method and disease risk predication system

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Embodiment Construction

[0048] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples cited are only used to explain the present invention, and are not used to limit the scope of the present invention.

[0049] Such as figure 1 As shown, it is a disease risk prediction method according to Embodiment 1 of the present invention, including the following steps:

[0050] S1, receiving the input gene sequencing result information, and analyzing the gene sequencing result information to obtain all variant gene information;

[0051] S2, searching for the disease gene mutation information of the corresponding gene locus in the precision medical knowledge base according to the gene locus corresponding to the mutation gene information to obtain at least one disease gene mutation information;

[0052] S3: Match each variant gene information with all disease gene variant information to obtain the similarity between each variant gene informatio...

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Abstract

The invention relates to a disease risk predication method and system. The method comprises the following steps of: S1, receiving input gene sequencing result information; analyzing the input gene sequencing result information to obtain all mutant gene information; S2, looking up disease gene mutant information of corresponding gene sites from a precision medical knowledge base according to the gene sites corresponding to the mutant gene information, so as to obtain at least one piece of disease gene mutant information; S3, matching each piece of the disease gene mutant information with all the disease gene mutant information to obtain the similarity of each piece of the mutant gene information, and all the disease gene mutant information; and S4, obtaining a risk predication table aiming at the gene sequencing result information according to the similarity of each piece of the mutant gene information, and all the disease gene mutant information. By analyzing an association relation of susceptibility genes, mutation sites, mutation types and diseases, disease risk predication is carried out on healthy people and general disease risk grade predication is provided; disease risks in the future are reduced.

Description

Technical field [0001] The invention relates to a disease risk prediction method and system, belonging to the field of biological information technology. Background technique [0002] According to the "Global Cancer Report 2014", the number of cancer incidences in China in 2012 was 3.065 million, accounting for about 1 / 5 of the global cancer incidence; the number of cancer deaths was 2.205 million, accounting for about a quarter of the global cancer deaths. Cancer is actually a genetic disease, and early detection is crucial to the survival rate of cancer treatment. For example, colorectal cancer is one of the common malignant tumors in China and the fourth leading cause of cancer death in China. The average lifetime risk of colorectal cancer in the Chinese population is 6%. Among them, 30% of colorectal cancer stems from genetic factors. People who have first-degree relatives (siblings, parents, or children) have colorectal cancer at twice the average risk of the population. ...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06F19/22G06Q10/04
CPCG16B30/00G06Q10/04G16H50/50
Inventor 全雪萍郝占平吕彬彬任永永赵文涛吴电云
Owner 为朔医学数据科技(北京)有限公司
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