Drug related gene type database, gene typing and drug action detection method

Abstract

The invention discloses a standard gene type database of drug action related genes and a construction method of the standard gene type database. The construction method comprises the following steps: comparing the corresponding special sequence of mutation information with the human whole genome group standard sequence to obtain the corresponding relation between the special sequence and the human whole genome group standard sequence; and according to the corresponding relation, converting the gene type into the standard gene type corresponding to the human whole genome group standard sequence. On the basis, the invention discloses a drug action related gene typing method and a drug action detection method. The database provides a unified standard for drug action related gene typing and a more accurate basis for clinical medication. The gene typing and drug action detection method covers 48 human drug action related genes and can carry out multi-sample detection on all the known mutation sites and the corresponding drug information at the same time. The gene typing method can detect unknown polymorphic sites, and lays the foundation of researching and finding new polymorphic sites affecting the drug action.

Description

technical field [0001] The invention relates to the field of gene detection, in particular to a genotype database of drug response-related genes, a genotyping method for drug response-related genes, and a detection method for drug response effects. Background technique [0002] Individual variability in drug response is a common clinical problem. Many clinical drugs are only effective for some patients. It is estimated that the effective rate of asthma, cardiovascular and psychiatric drugs is about 60%, and as many as 40% of patients have unsatisfactory or even ineffective effects. At the same time, some patients are prone to adverse reactions to conventional treatment drugs. American epidemiological studies have shown that 6.7% of patients had severe side effects, of which 0.32% were fatal, which is the fourth to sixth leading cause of death among hospitalized patients. There are many factors that cause individual differences in drug response, including gender, age, body ...

AI Technical Summary

Problems solved by technology

At present, for drug-related gene polymorphism detection, such as PCR / RFLP, probe hybridization, etc., most of them have the shortcomings of few detection sites and low throughput. Among them, the latest technology for polymorphism detection is chip hybridization based on multiplex PCR. technology, but there are also defects that the number of detection sites is limited and the detection sites must be known

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