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Alzheimer's disease related gene prediction method

A prediction method and gene technology, applied in the fields of instruments, hybridization, biostatistics, etc., can solve problems such as inability to correspond to diseases and affect the understanding of diseases

Active Publication Date: 2019-01-15
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the genes found by the existing analysis methods do not correspond well to the disease, thus affecting people's understanding of the disease

Method used

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  • Alzheimer's disease related gene prediction method
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  • Alzheimer's disease related gene prediction method

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Embodiment Construction

[0062] Such as figure 1 Shown is the method flow chart of the method of the present invention: the method for predicting Alzheimer's disease-related genes provided by the present invention includes the following steps:

[0063] S1. Obtain data information of AD patients and non-AD patients; specifically including disease information of AD patients and expression information of spliced ​​isomers in patients, as well as disease information of non-AD patients and spliced ​​isomers in patients Express information within;

[0064] S2. Calculate the FPKM value expressed by the isoforms of AD patients and non-AD patients, screen the isoforms according to the obtained FPKM value, and perform data processing on the FPKM value to obtain the FPKM1 value; specifically The following steps are used for screening and processing:

[0065] (1) Use the following rules to screen splice isomers:

[0066] For all AD patients, if the splicing isomer i satisfies the following formula, the splicing isomer...

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Abstract

The invention discloses an Alzheimer's disease related gene prediction method. The method includes the following steps that: data information is obtained; FPKM values expressed by splicing isoforms are calculated, the splicing isoforms are screened, so that FPKM1 values are obtained; the splicing isoforms are screened; samples are clustered, and outliers are eliminated; the scale-free networks, topology overlap matrixes and node dissimilarity matrixes of the samples are constructed, and clustering and merging are performed; a network edge file is generated through transformation; an undirectednetwork is generated, screening is performed, so that splicing isoforms with network structure differences are obtained; modules are merged, the differences of the modules are judged, splicing isoforms with differences are obtained; and the union of the splicing isoforms with network structure differences and the splicing isoforms with differences is obtained, and a final result is obtained. Withthe method of the invention adopted, the related genes and splicing isoforms of the Alzheimer's disease can be predicted, and data support and theoretical basis can be provided for subsequent work.

Description

Technical field [0001] The invention specifically relates to a method for predicting genes related to Alzheimer's disease. Background technique [0002] Alzheimer's disease (AD) is the most common cause of dementia in the United States, and is characterized by a gradual decline in various cognitive functions. Age is the most important risk factor in AD, but the decline in cognitive function is individual specific and is also affected by environmental factors, individual experience and genetic factors. Genes associated with early onset are usually mutated amyloid precursor protein gene APP, pre-aging PSEN1 and PSEN2 genes. Candidate genes associated with late-onset AD include A2M, ABCA1 / 2, CLU, PICALM, SORL1 and TREM2. APOE, APP, and tau also have variable splice variants associated with late-onset AD. Understanding the expression of different genes can ultimately answer questions about the pathogenesis of AD and determine possible disease treatment goals. [0003] In the proces...

Claims

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Application Information

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IPC IPC(8): G16B25/00G16B40/00
Inventor 李洪东郑剑涛
Owner CENT SOUTH UNIV
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