The Journal of the Korea Contents Association (한국콘텐츠학회논문지)

The Korea Contents Association (한국콘텐츠학회)
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Personalized Dietary SikdanOme Recommendation based on Obesity Related SNP Genotype and Phenotype

비만 관련 SNP genotype-phenotype 정보기반의 맞춤 식단옴 추천

  • Received : 2016.07.06
  • Accepted : 2016.08.11
  • Published : 2016.10.28
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Abstract

Obesity extends the global economic burden and it causes that the failure of a reduction of physical activity, and diet management. In this work, nutritional information and personalized diet based on calorie supply system and is discriminatory utilized the obesity-related SNP information in order to recommend a personalized functional foods. This study performed a GWAS analysis for the excavation of a Korean-specific and obesity-related SNP, which utilizes genetic information were recommended by entering a personalized diet in accordance with the SNP genotype-phenotype information. In addition, we integrated Database with relation of nutrient for utilizing the USDA Food information and it was applied to recommend with Sickdanome. As a result, the obesity-related SNP information was confirmed in the sample which has the normal value BMI. In this study, we have recognized that the phenotype information related obesity, BMI is inconsistent with the SNP genotype information. This result is shown that it is necessary to provide the personalized dietary SickdanOme recommendation based on the both pheotype-genotype information.

전 세계적으로 비만인구의 증가로 인해 경제적 부담이 확대되고 있으며, 그 원인으로 육체적 활동의 감소 및 식이관리의 실패가 손꼽히고 있다. 영양성분 및 칼로리를 기반으로 한 맞춤 식단정보 제공 시스템과는 차별적으로 본 연구는 개인 맞춤형 기능성 식품을 추천하기 위해 비만 관련 SNP (single nucleotide polymorphism) 정보를 활용하였다. 본 연구를 위해 GWAS (Genome-wide association study) 분석을 수행하여 한국인 특이적인 비만 관련 SNP을 발굴하고, 이를 활용하여 유전적 정보를 입력하여 SNP genoype-phenoype 정보에 따른 맞춤 식단옴을 추천하였다. 또한 USDA (The United States Department of Agriculture) 식품 정보를 활용할 수 있도록 식품 통합 Database를 구축하여 식단 추천에 적용하였다. 그 결과, 표현형 정보 BMI (Body Mass Index)는 정상 수치를 가지고 있으나, 비만 관련 SNP 정보를 가지고 있는 샘플은 유전적 비만 위험도를 나타내어 식이관리가 필요하다는 정보를 확인하였으며, 관련 식품 정보를 제공하였다. 따라서 표현형에 따른 비만에 관한 정보와 유전형 정보가 일치하는 것은 아니며, 이는 표현형적 정보만을 이용한 비만 관리 식이 추천에는 한계가 있음을 의미하며 이러한 결과는 비만외 다른 성인병들에도 적용이 필요하며 이를 위해서는 표현형-유전적 통합정보를 기반 한 맞춤식이 추천이 필요함을 나타내었다.

Keywords

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