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Method of analysis of regulatory relationship between genes or loci and disease based on multi-omics

A locus and gene technology, applied in the field of multi-omics analysis of the relationship between genes or loci and disease regulation, can solve problems such as large random interference, inaccurate analysis results, and different environmental effects

Active Publication Date: 2017-11-24
武汉古奥基因科技有限公司
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Problems solved by technology

However, pure analysis results may not be accurate. For example, random interference in GWAS research is often very large. Possible interference includes differences in genetic backgrounds, environmental effects, etc.

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  • Method of analysis of regulatory relationship between genes or loci and disease based on multi-omics
  • Method of analysis of regulatory relationship between genes or loci and disease based on multi-omics
  • Method of analysis of regulatory relationship between genes or loci and disease based on multi-omics

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Embodiment Construction

[0011] The present invention will be described in further detail below in conjunction with specific embodiments, but the embodiments of the present invention are not limited thereto.

[0012] Collect patient sample data, in which the condition and etiology of these patients are known. For example, it is known that albinism is mainly caused by the lack of normal tyrosinase gene, which leads to the inability to convert tyrosine into melanin. Phenylketonuria is mainly caused by Inability to convert phenylalanine to tyrosine due to lack of normal gene for phenylalanine hydroxylase. These data are used as the training set, and the linear regression method is used to fit the sample data to train a suitable model.

[0013] The specific methods and principles are as follows:

[0014] The collected sample data were analyzed using transcriptome analysis, CHIP-Seq analysis, miRNA analysis and GWAS analysis respectively. For the same patient, the analysis results were obtained separatel...

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Abstract

The invention discloses a method of analysis of a regulatory relationship between genes or loci and a disease based on multi-omics, and belongs to the field of biological information and computer data analysis. The method includes the following steps that after a patient sample is collected, the pathogenesis is analyzed by transcriptome analysis, CHIP-Seq analysis, miRNA analysis and GWAS analysis respectively, and the mutant genes or loci and the confidence coefficients obtained are (g1, x1), (g2, x2), (g3, x3) and (g4, x4) respectively; the above analysis result is integrated by an estimation function htheta(x)=0.2+0.7*x1+0.6*x2+0.3*x3+0.9*x4, so that the regulatory relationship between the genes or the loci and the disease is analyzed. According to the method, the accuracy of analysis of the genes related to the disease by the estimation function reaches 87%.

Description

technical field [0001] The invention relates to the fields of biological information and computer data analysis, and in particular to a method for analyzing the relationship between genes or sites and disease regulation based on multi-omics. Background technique [0002] Transcriptome analysis is to analyze the gene transcription and transcription regulation rules in cells at the overall level. Simply put, transcriptomics is the study of gene expression at the RNA level. The transcriptome is the sum of all RNAs that can be transcribed in a living cell, and is an important means of studying cell phenotype and function. [0003] CHIP-seq refers to the binding site analysis method, which is used to study the interaction relationship between protein and DNA in vivo. Chromatin Immunoprecipitation (CHIP), also known as binding site analysis, is a powerful tool for studying the interaction between proteins and DNA in vivo, and is usually used for the study of transcription factor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/18G06F19/24
CPCG16B20/00G16B40/00
Inventor 袁晓辉
Owner 武汉古奥基因科技有限公司
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