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Multi-disease mutation site analysis method based on function network

A technology of functional networks and mutation sites, applied in the field of bioinformatics, can solve the problem of ignoring potential links of diseases, and achieve the effect of increasing comprehensive understanding and contributing to clinical diagnosis and treatment.

Inactive Publication Date: 2016-10-12
WANKANGYUAN TIANJIN GENE TECH CO LTD
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Problems solved by technology

[0004] However, previous studies often focus on a single disease and describe its genomic variation, ignoring the potential connection between diseases. However, the method based on functional network can more systematically identify molecular functional modules shared by different diseases, and effectively analyze similarities. Pathogenesis of phenotypic diseases

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  • Multi-disease mutation site analysis method based on function network
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  • Multi-disease mutation site analysis method based on function network

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Embodiment Construction

[0035] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0036] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention Creation and simplification of description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should no...

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Abstract

The invention provides a multi-disease mutation site analysis method based on a function network. The method comprises the following steps: (1) detecting mutant genes by sequencing; (2) performing function enrichment analysis; (3) constructing the function network; (4) mining a molecular function network module; and (5) recognizing a molecular network module shared among diseases. According to the method, a correlation relationship among the diseases is built from the perspective of a molecular function by analysis of differences among genome levels of different diseases, so that the molecular function module shared among different diseases can be recognized more systematically; pathogenic mechanisms of diseases with similar phenotypes are analyzed effectively; differences among the diseases are revealed from the aspect of genomes; comprehensive understanding of the diseases is improved; and clinical diagnosis and treatment are facilitated.

Description

technical field [0001] The invention belongs to the technical field of biological information, and in particular relates to a method for analyzing multiple disease variant sites based on a functional network. Background technique [0002] Because many diseases are highly similar in pathogenic mechanism and clinical manifestations, this similarity not only helps to study the common pathogenic mechanism of a certain type of disease, but also increases the process of disease diagnosis and treatment to some extent. Difficulty, easy to cause misdiagnosis, thereby delaying the treatment of the disease. Similar clinical manifestations not only exist between different diseases, but also may be reflected between different subtypes of the same disease. Therefore, joint research on diseases or disease subtypes with similar clinical manifestations and easily confusing diagnoses will become a An effective way to overcome the above difficulties. [0003] In recent years, with the contin...

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Application Information

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IPC IPC(8): G06F19/18G06F19/00
CPCG16B20/00G16H50/70
Inventor 薛成海刘婷婷郭晓丹刘忠伟
Owner WANKANGYUAN TIANJIN GENE TECH CO LTD
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