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Predictive Models for Sasang Constitution Types Using Genetic Factors

  • Journal of Sasang Constitutional Medicine
  • Abbr : J Sasang Constitut Med
  • 2020, 32(2), pp.10-21
  • DOI : 10.7730/JSCM.2020.32.2.10
  • Publisher : The Society Of Sasang Constitutional Medicine
  • Research Area : Medicine and Pharmacy > Korean Medicine
  • Received : April 20, 2020
  • Accepted : April 27, 2020
  • Published : June 30, 2020

Hyo-jeong Ban 1 Siwoo Lee 1 Heejeong Jin 1

1한국한의학연구원

Accredited

ABSTRACT

Objectives: Genome-wide association studies(GWAS) is a useful method to identify genetic associations for various phenotypes. The purpose of this study was to develop predictive models for Sasang constitution types using genetic factors. Methods: The genotypes of the 1,999 subjects was performed using Axiom Precision Medicine Research Array (PMRA) by Life Technologies. All participants were prescribed Sasang Constitution-specific herbal remedies for the treatment, and showed improvement of original symptoms as confirmed by Korean medicine doctor. The genotypes were imputed by using the IMPUTE program. Association analysis was conducted using a logistic regression model to discover Single Nucleotide Polymorphism (SNP), adjusting for age, sex, and BMI. Results & Conclusions: We developed models to predict Korean medicine constitution types using identified genectic factors and sex, age, BMI using Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN). Each maximum Area Under the Curve (AUC) of Teaeum, Soeum, Soyang is 0.894, 0.868, 0.767, respectively. Each AUC of the models increased by 6~17% more than that of models except for genetic factors. By developing the predictive models, we confirmed usefulness of genetic factors related with types. It demonstrates a mechanism for more accurate prediction through genetic factors related with type.

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