Metabolic disease gene detection and clinical depth data analysis method

A metabolic disease and gene detection technology, applied in the field of metabolic disease gene detection and clinical in-depth data analysis, can solve the problems of ignorance and intervention of metabolic diseases, achieve accurate diagnosis and treatment, and reduce damage

Inactive Publication Date: 2020-08-07
广州润孚创新科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the clinical treatment of metabolic diseases such as hypertension and diabetes is basically based on the symptoms and signs that appear, and patients often need to take medicine for a long time or even life. Understanding and Interventing Metabolic Diseases

Method used

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  • Metabolic disease gene detection and clinical depth data analysis method
  • Metabolic disease gene detection and clinical depth data analysis method
  • Metabolic disease gene detection and clinical depth data analysis method

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Embodiment 1

[0036] S1. Extract the tester's genomic DNA sample: the tester shall be instructed by the hospital laboratory doctor to use the sampling swab to scrape the left and right cheeks in the mouth at least 40 times, so as to ensure that sufficient oral mucosal epithelial cell samples are collected; The genomic DNA of each oral epithelial cell sample was extracted by silica gel adsorption method for 2.5 hours.

[0037] S2. Detect the genotyping results of genomic DNA samples, and conduct SNP genotype analysis: search for common genetic risk factors of folic acid metabolic hypertension in the Chinese population according to the literature, and select gene polymorphism sites related to folic acid metabolic hypertension : SNP site rs1801133 and SNP site rs1801131 on the methylenetetrahydrofolate reductase gene, SNP site rp1801394 on the methionine synthesis reductase gene, SNP site rs1805087 on the methionine synthetase gene Point, SNP site rs719037 on the cystathionine-β-synthase gene,...

Embodiment 2

[0041] S1. Extract the tester's genomic DNA sample: the tester shall be instructed by the hospital laboratory doctor to use the sampling swab to scrape the left and right cheeks in the mouth at least 50 times, so as to ensure that a sufficient amount of oral mucosal epithelial cell samples are collected; The genomic DNA of each oral epithelial cell sample was extracted by silica gel adsorption method for 2.0 hours;

[0042] S2. Detect the genotyping results of genomic DNA samples and perform SNP genotype analysis: find out the common genetic risk factors of glucose-metabolizing type 2 diabetes in the Chinese population according to the literature, and select the gene polymorphisms related to glucose-metabolizing type 2 diabetes Points: SNP site rs1801282 on the peroxisome proliferator-activated receptor gene, SNP site rs5219 on the potassium internal regulation channel J gene, SNP site rs7903146 ​​on the transcription factor 7-like 2 protein gene, solute carrier family The SNP...

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Abstract

The invention discloses a metabolic disease gene detection and clinical depth data analysis method which comprises the following steps: S1, extraction of a genome DNA sample of a detector: collectingan oral mucosa epithelial cell sample of the detector and extracting genome DNA of the oral mucosa epithelial cell sample of the detector, S2, detection of a typing result of the genome DNA sample: selecting gene polymorphic sites related to metabolic diseases, and typing each gene polymorphic site, and S3, according to the detected typing result, performing clinical deep data analysis and evaluation on the metabolic capability of the substances related to the metabolic diseases. According to the invention, through gene detection, a detector can know the risk of suffering from diseases better,early diagnosis and early treatment are carried out at the beginning of the diseases, and damage caused by the diseases is reduced to the greatest extent, particularly, a guiding effect is provided for gene diagnosis of metabolic diseases such as hypertension and type 2 diabetes mellitus, and a certain theoretical basis is provided for diagnosis and treatment on the diseases.

Description

technical field [0001] The invention relates to the technical field of medical and health management, in particular to a method for genetic detection of metabolic diseases and clinical in-depth data analysis. Background technique [0002] Metabolic disease is a general term for a group of complex diseases characterized by abnormal metabolism, insidious onset, long course and persistent disease. It belongs to a branch of diseases and mainly includes central obesity, hypertension, diabetes, etc. In 2003, the prevalence rate of the disease among people over 15 years old in my country was 12.3%. In 2012, 38 million (68%) of the global total deaths were due to diseases, and the World Health Organization (WHO) predicts that the total number of deaths caused by diseases will increase to 52 million in 2030. According to the "Nutrition and Disease Status Report of Chinese Residents (2015)", the disease mortality rate in my country is 533 / 100,000, accounting for 86.6% of the total de...

Claims

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Application Information

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IPC IPC(8): C12Q1/6883
CPCC12Q1/6883C12Q2600/156C12Q2600/106
Inventor 余中逊孔宪奇
Owner 广州润孚创新科技有限公司
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