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Gene function association network-based method for discovering chronic disease mechanism and early warning intervention policy thereof

A technology of gene function and association network, applied in genomics, computer-aided medical procedures, special data processing applications, etc., can solve the problem of unclear molecular mechanism of disease risk

Active Publication Date: 2016-11-16
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the molecular mechanisms that act long-term and modify disease risk in adulthood remain unclear

Method used

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  • Gene function association network-based method for discovering chronic disease mechanism and early warning intervention policy thereof
  • Gene function association network-based method for discovering chronic disease mechanism and early warning intervention policy thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] Example 1: Biological pathways / biofunctional mechanisms by which low birth weight contributes to adult chronic disease risk

[0083] A large number of epidemiological studies have shown that low birth weight (LBW) is associated with the risk of adult diseases such as glucose intolerance, diabetes, hypertension, cardiovascular disease, mental retardation, and autism. However, the molecular mechanisms involved still uncertain.

[0084] 1) Find high-risk groups for chronic diseases and obtain early biological samples from those with chronic diseases before their onset.

[0085] Epidemiological survey data:

[0086] A large number of epidemiological studies have shown that low birth weight (LBW) is associated with the risk of adult diseases such as glucose intolerance, diabetes, hypertension, cardiovascular disease, mental retardation, and autism.

[0087] Determine the target audience:

[0088] We believe that in order to understand the pathogenesis of adult diseases su...

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Abstract

The present invention discloses a gene function association network-based method for discovering a chronic disease mechanism and an early warning intervention policy thereof. The method can be applied to the field of related research and application of biology, medicine and pharmacy. Epigenetic changes of the high-risk groups surveyed and discovered according to epidemiology before disease attack are detected, the epigenetic changes before the disease is associated with indicator gene changes of the disease through gene function network analysis, then a long-term molecular mechanism contributing to the disease risk is discovered, and risk early warning for the group, risky diagnosis for an individual, and indicators and methods for preventive intervention are provided. According to the method, a long-term steady biological path or biological function change may leave a mark on related gene epigenetic inheritance, and a chronic disease biological path or biological function level mechanism may be found through analysis of the synergistic effect of epigenetic differences.

Description

technical field [0001] The present invention proposes a method and application for discovering chronic disease mechanism and early warning intervention strategy based on gene function association network, and this method can be applied to related research and application fields of biology, medicine and pharmacy. Including, but not limited to, research on the pathogenesis of complex chronic diseases, early warning of disease risks and selection of prevention / intervention strategies for groups or individuals, and the design and production of related instruments and consumables for the above purposes. Background technique [0002] Chronic disease refers to the general term for diseases that do not constitute infection and have long-term accumulation of disease form damage. Once the prevention and treatment is not enough, it will cause harm to the economy and life. The "China Disease Prevention and Control Work Progress (2015) Report" shows that although the comprehensive preve...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16B20/00G16H50/30
Inventor 陈新海玲陈鹏程
Owner ZHEJIANG UNIV
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