Single nucleotide polymorphism disease incidence prediction system

A technology of nucleotide polymorphism and disease incidence, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of lack of reliability, long time spent, and lack of efficiency of users

Active Publication Date: 2015-04-29
TCI GENE
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Problems solved by technology

[0006] However, it is quite inconvenient and difficult for general users to analyze (such as investigate the LPL gene sequence) or record and analyze physiological information to estimate the user's future weight through medical units. It takes a long time to provide suggestions by manual judgment, and it is still inefficient, and the method of only estimating future weight based on physiological information is still not reliable for users in order to prevent the occurrence of related diseases

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  • Single nucleotide polymorphism disease incidence prediction system
  • Single nucleotide polymorphism disease incidence prediction system
  • Single nucleotide polymorphism disease incidence prediction system

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Embodiment Construction

[0028] For a preferred embodiment of the single nucleotide polymorphism (SNP) disease incidence prediction system of the present invention, please refer to figure 1 As shown, it includes a prediction server 10 , a person database 20 , a genetic risk database 30 , an allele frequency database 40 , and a prevalence rate database 50 .

[0029] This prediction server 10 is connected with more than one user terminal 60 through the network, and this user terminal 60 is for the user to input more than one group of personal data, gene data, and this prediction server 10 is connected with aforementioned prevalence rate database 50, allele frequency respectively. The database 40, the genetic risk database 30 and the personal database 20 are connected, and the prediction server 10 exchanges data with the above-mentioned databases 20, 30, 40, 50, and the collected data is processed through calculation to generate a reference for the user. Forecasting report, the forecasting report outputs...

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Abstract

The invention provides a single nucleotide polymorphism disease incidence prediction system. According to the system, a prediction server collects more than one group of personal data and gene data and respectively transmits the data to a personal database for storage and a gene risk database for data exchange, the prediction server obtains a single nucleotide polymorphism data and a risk data via the gene risk database and respectively exchanges a frequency data with an allele frequency database, and the prediction server generates a genetic risk data according to the operation of the above single nucleotide polymorphism data, the risk data, and the frequency data, obtains a plurality of prevalence data via a prevalence database, and rapidly generates a prediction report according to the prevalence data and the genetic risk data. Therefore, via the above effective method, users can conveniently obtain reference data of disease incidence related to self genes.

Description

technical field [0001] The present invention relates to a system for predicting the incidence of disease, especially a system for predicting the incidence of disease related to a single nucleotide polymorphism (SNP) by using a prediction server to cooperate with data from various databases. Background technique [0002] Modern people are quite prone to civilized diseases, especially high blood sugar, high blood fat, and high blood pressure (commonly known as the three highs). According to current medical research, the three highs are related to genetics, and there are 90% of the differences in human genetics. % can be attributed to the genetic variation caused by Single Nucleotide Polymorphism (SNP), that is, the variation of a single nucleotide in the DNA sequence. Currently, SNP-related research is quite common in the medical field , some SNPs are known to affect the structure and function of proteins, and sometimes change the expression of genes or physiological trends, t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/22G06F19/28
Inventor 蔡岳颖汪兴一关淑君林咏翔黄雪茵
Owner TCI GENE
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