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@article{ART002606847},
author={Hyo-jeong Ban and Lee Siwoo and Heejeong Jin},
title={Predictive Models for Sasang Constitution Types Using Genetic Factors},
journal={Journal of Sasang Constitution and Immune Medicine},
issn={1226-4075},
year={2020},
volume={32},
number={2},
pages={10-21},
doi={10.7730/JSCM.2020.32.2.10}

TY - JOUR
AU - Hyo-jeong Ban
AU - Lee Siwoo
AU - Heejeong Jin
TI - Predictive Models for Sasang Constitution Types Using Genetic Factors
JO - Journal of Sasang Constitution and Immune Medicine
PY - 2020
VL - 32
IS - 2
PB - The Society of Sasang Constitution and Immune Medicine
SP - 10
EP - 21
SN - 1226-4075
AB - 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.
KW - Sasang typology;Sasang constitution;Genetic variant;Genetic factor;Predictive model
DO - 10.7730/JSCM.2020.32.2.10
ER -

Hyo-jeong Ban, Lee Siwoo and Heejeong Jin. (2020). Predictive Models for Sasang Constitution Types Using Genetic Factors. Journal of Sasang Constitution and Immune Medicine, 32(2), 10-21.

Hyo-jeong Ban, Lee Siwoo and Heejeong Jin. 2020, "Predictive Models for Sasang Constitution Types Using Genetic Factors", Journal of Sasang Constitution and Immune Medicine, vol.32, no.2 pp.10-21. Available from: doi:10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban, Lee Siwoo, Heejeong Jin "Predictive Models for Sasang Constitution Types Using Genetic Factors" Journal of Sasang Constitution and Immune Medicine 32.2 pp.10-21 (2020) : 10.

Hyo-jeong Ban, Lee Siwoo, Heejeong Jin. Predictive Models for Sasang Constitution Types Using Genetic Factors. 2020; 32(2), 10-21. Available from: doi:10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban, Lee Siwoo and Heejeong Jin. "Predictive Models for Sasang Constitution Types Using Genetic Factors" Journal of Sasang Constitution and Immune Medicine 32, no.2 (2020) : 10-21.doi: 10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban; Lee Siwoo; Heejeong Jin. Predictive Models for Sasang Constitution Types Using Genetic Factors. Journal of Sasang Constitution and Immune Medicine, 32(2), 10-21. doi: 10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban; Lee Siwoo; Heejeong Jin. Predictive Models for Sasang Constitution Types Using Genetic Factors. Journal of Sasang Constitution and Immune Medicine. 2020; 32(2) 10-21. doi: 10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban, Lee Siwoo, Heejeong Jin. Predictive Models for Sasang Constitution Types Using Genetic Factors. 2020; 32(2), 10-21. Available from: doi:10.7730/JSCM.2020.32.2.10

Hyo-jeong Ban, Lee Siwoo and Heejeong Jin. "Predictive Models for Sasang Constitution Types Using Genetic Factors" Journal of Sasang Constitution and Immune Medicine 32, no.2 (2020) : 10-21.doi: 10.7730/JSCM.2020.32.2.10