Background: Diabetes is a chronic disease that commonly occurs in Korean adults due to an increase in the elderly population and westernized lifestyle. However, once the disease starts, even if the drug treatment is started, it slows the progress of the complication, making it difficult to cure, the quality of life is deteriorated, and the cost of treatment is enormous. Thus, diabetes is a disease that requires effective prevention through early prevention. Method: In this study, genetic risk was calculated by using 8 genetic markers related to glucose metabolism with specific polymorphism in Korean, reflecting lifestyle and family history. On the basis of this, a diagnosis prediction model of type 2 diabetes was presented. Results: The odds ratio for the disease was 2.72 (95% confidence interval, 1.25-5.93), indicating a statistically significant association. The accuracy of diagnosis was estimated to be 62.4%. However, the study population used in this study showed that the prevalence of type 2 diabetes was high and the number of samples over 40 was rather small, and clinical information such as blood glucose, body weight, and BMI index could affect the incidence of type 2 diabetes Since there is a limit to the absence of a disease, it is necessary to establish a disease prediction model for Koreans that can increase the accuracy of disease prediction through further studies. Conclusion: The type 2 diabetes prediction model proposed in this study can be used for the early identification and prognosis of genetic markers for promoting sales of healthcare gene products in pharmacies. As a result, personalized counseling and active role based on genomic information will expand the expertise of pharmacists and help to increase the sales of health functional food and general medicine from customers while increasing credibility and also help the pharmacy's economic gain.

Keywords: Direct-to-consumer, Genetic testing, Blood glucose, Type 2 diabetes, Pharmacy, Healthcare