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Construction method and construction system for type 2 diabetes mellitus risk assessment model

A technology of risk assessment model and construction method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as the inability to calculate per capita disease risk

Inactive Publication Date: 2017-10-17
云健康基因科技(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two models have a major flaw in calculating individual disease risk, that is, they cannot calculate the per capita disease risk based on genetics. The genetic per capita disease risk directly determines the division of risk levels and determines whether high-risk groups can To achieve effective distinction, this is where the greatest role and value of the genetic risk assessment model lies

Method used

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  • Construction method and construction system for type 2 diabetes mellitus risk assessment model
  • Construction method and construction system for type 2 diabetes mellitus risk assessment model
  • Construction method and construction system for type 2 diabetes mellitus risk assessment model

Examples

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Embodiment 1

[0093] Such as figure 1 and figure 2 As shown, this embodiment provides a method for obtaining the SNP site of a gene associated with type 2 diabetes, which includes the following steps:

[0094] Step 1-1. Obtain SNP sites related to type 2 diabetes as T2D Consortium sites through the T2D-GENES Consortium database, GoT2D Consortium database, and DIAGRAM Consortium database. The research population is East Asian population (Chinese, Japanese, Korean, and Singaporean Chinese);

[0095] The SNP sites related to type 2 diabetes were obtained from the literature database of GWAS research as GWAS sites, where the significance level was 0.000001, and the research population was East Asian population (Chinese, Japanese, Korean, and Singaporean Chinese);

[0096] The SNP points related to type 2 diabetes were obtained from the literature database of candidate gene research as candidate gene loci, and the significance level was set at 0.05. The research population was East Asian popu...

Embodiment 2

[0099] This embodiment provides a method for filtering the SNP frequency value and OR value of genes related to type II diabetes.

[0100] Among them, the calculation method of OR value is:

[0101] Obtain the OR value of the type 2 diabetes-associated SNP loci in the East Asian population in the literature database of GWAS research and the literature database of candidate gene research; or,

[0102]The sample data information of the East Asian population was combined, and the OR value of the type 2 diabetes-associated SNP loci in the East Asian population was calculated by the four-table method of the case-control study.

[0103] The frequency value is calculated as:

[0104] Using the literature database of GWAS research and the literature data of candidate gene research, the frequency value of the risk allele of the SNP site with an OR value ≥ 1.08 in the East Asian population without type 2 diabetes; or,

[0105] Combine the sample data information of the East Asian popu...

Embodiment 3

[0107] This example provides a calculation method for the epidemiological prevalence of type 2 diabetes: calculate the prevalence of type 2 diabetes in the Chinese population through the literature (DiabetesCare 2015Jan; 38(1):72-81), and its value is 10.44% .

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Abstract

The invention discloses a construction method and a construction system for a type 2 diabetes mellitus risk assessment model. The method comprises the following steps that: (1) selecting an SNP (Single Nucleotide Polymorphisms) locus related to type 2 diabetes mellitus; (2) calculating the risk degree, i.e., an OR (Odds Ratio) value, of the SNP locus; (3) calculating the frequency of the SNP locus in an East Asia population; (4) calculating the epidemiology prevalence rate of the type 2 diabetes mellitus; and (5) according to a Bayesian algorithm and a Hardy-Weinberg equilibrium principle, constructing the risk assessment model. The model of the invention calculates the mathematical expectation value and the OR value of the risk allele amount of the population, the epidemiology prevalence rate of the type 2 diabetes mellitus is combined to obtain the average prevalence rate and the confidence interval of a group on the basis of inheritance, a new construction method for the type 2 diabetes mellitus risk assessment model is provided, so that the prevalence risk of the type 2 diabetes mellitus more approaches to a true situation, and a result is more scientific and reasonable. By use of the method, high-risk population screening accuracy is improved, the prevalence rate of the type 2 diabetes mellitus is expected to be lowered, and a great quantity of expenditures can be saved for the nation and society so as to benefit the nation and the people.

Description

technical field [0001] The invention belongs to the field of genetic risk assessment of polygenic diseases, and relates to a method and system for constructing a risk assessment model of type Ⅱ diabetes, in particular to a polygenic model based on Bayesian algorithm and epidemiological prevalence. Method and system for disease risk assessment model. Background technique [0002] Among the diabetes patients in my country, type 2 diabetes accounts for more than 90.0%, type 1 diabetes accounts for about 5.0%, the prevalence of urban gestational diabetes is close to 5.0%, and other types of diabetes only account for about 0.7%. Table 1 shows the characteristics, symptoms and complications of type 2 diabetes: [0003] Table 1 Characteristics, symptoms and complications of type Ⅱ diabetes [0004] [0005] The main symptoms of type Ⅱ diabetes are hyperglycemia, varying degrees of insulin resistance and impaired insulin secretion. Type 2 diabetes can bring various inconvenien...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 万旗东李庆辉金刚
Owner 云健康基因科技(上海)有限公司
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