KR20170054628A - Considering the personal genotype and phenotype information customized food information referral system - Google Patents

Considering the personal genotype and phenotype information customized food information referral system Download PDF

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KR20170054628A
KR20170054628A KR1020150156844A KR20150156844A KR20170054628A KR 20170054628 A KR20170054628 A KR 20170054628A KR 1020150156844 A KR1020150156844 A KR 1020150156844A KR 20150156844 A KR20150156844 A KR 20150156844A KR 20170054628 A KR20170054628 A KR 20170054628A
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information
genotype
food
phenotype
metabolism
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KR1020150156844A
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Korean (ko)
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양혜정
김민정
권대영
장대자
김리랑
강희주
김진희
강병철
신가희
김형용
이상민
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한국식품연구원
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The present invention relates to a customized food information recommendation system considering personal genotype and phenotypic information, comprising: an input unit for inputting personal information of a user including at least one of genotype information, phenotypic information, and user's diet information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one of the obesity risk calculated by the processing unit and the food information created by the processing unit, and a personalized food information recommendation system considering the personal genotype and the phenotype information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a personalized food information recommendation system,

Disclosure of the present invention relates generally to a personalized food information recommendation system that takes personal genotypic and phenotypic information into consideration, and more particularly relates to a personalized food information system that takes into account individual genotypes and phenotype information to help inform and manage obesity risk using input information Recommendation system.

Herein, the background art relating to the present disclosure is provided, and these are not necessarily meant to be known arts.

1 is a view showing an example of an obesity management system 100 shown in Korean Patent Laid-Open No. 10-2011-0098409.

And an obesity management server 120 in which a user inputs diet information to the mobile terminal 110 and receives dietary information from the mobile terminal 110 to monitor obesity management status. The mobile terminal 110 includes an intake calorie consumption calculation unit 111, a consumed calorie consumption calculation unit 112 and a diet information calculation unit 113. [ The mobile terminal 110 may further include a diet game providing unit 114, a control unit 115, a memory 116, a display unit 119, and a communication unit 118. The calorie consumption calculating unit 111 calculates the calorie content database 117_1 for each food and the consumed calorie consumption calculating unit 112 calculates the calorie database for each exercise 117_2 and transmits the calorie database 117_2 to the mobile terminal 110 through the display unit 119, Display it on the screen. It may be effective to control obesity by managing the calories consumed and the calorie intake, but there may be problems that the nutrients can not be taken evenly by the calorie restriction.

FIG. 2 is a diagram showing an example of a diet weight loss standard and a daily expected weight increase / decrease calculation method disclosed in Korean Patent Laid-Open No. 10-2002-0064661, and an Internet wired / wireless obesity management system using the same. The present invention calculates the degree of obesity 202 based on some input data such as body characteristics 201 received from a user via a wired / wireless Internet, calculates a weight loss standard for a predetermined period 203 according to the degree of obesity, And displays a daily weight increase / decrease amount 206 so that a desired weight loss plan 205 can be established to suit the user. Limiting the amount of daily consumption and consumption activity will reduce weight, but it can be more effective if you can consume food that meets your genetic information.

This will be described later in the Specification for Implementation of the Invention.

SUMMARY OF THE INVENTION Herein, a general summary of the present disclosure is provided, which should not be construed as limiting the scope of the present disclosure. of its features).

According to one aspect of the present disclosure, there is provided a customized food information recommendation system considering individual genotype and phenotypic information, wherein the system comprises at least one of genotype information, phenotypic information, An input unit for inputting user's personal information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one or more of the obesity risk calculated by the processor and the food information created by the processing unit, and a customized food information recommendation system considering personal genotype and phenotype information.

This will be described later in the Specification for Implementation of the Invention.

1 is a view showing an example of an obesity management system disclosed in Korean Patent Laid-Open No. 10-2011-0098409,
FIG. 2 is a diagram showing an example of a diet weight loss standard and a daily expected weight change calculation method and an Internet wired / wireless obesity management system using the method shown in Korean Patent Laid-Open No. 10-2002-0064661,
3 is a diagram illustrating an example of a customized food information recommendation system in consideration of personal genotype and phenotype information according to the present disclosure;
4 is a diagram showing an example of a display unit of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure;
5 is a diagram showing another example of a display unit of a customized food information recommendation system considering personal genotype and phenotype information according to the present disclosure;

The present disclosure will now be described in detail with reference to the accompanying drawings.

3 is a diagram showing an example of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure.

The customized food information recommendation system considering personal genotype and phenotype information may include an input unit 301, a storage unit 302, a processing unit 303, and a display unit 304.

The input unit 301 may input personal information of a user through at least one of a keyboard, a mouse, a mobile phone, a touch pad, and a microphone. The user's personal information may include at least one of genotype information, phenotypic information, and user's diet information.

The genotype information includes genetic information, can be uploaded to the input unit 301 by uploading the information stored in the file, or can be created by the user and input to the input unit 301. [

The phenotype information may include the user's weight, key, sex, age, target weight information, and goal achievement period information.

The user can input the user's diet into the input unit 301 by date.

The storage unit 302 may include at least one of genom wide association study (GWAS) information and food information. The information on the total field genome association analysis includes information on the genome association analysis in the twenties, the genome association information in Korea, the genome association information in Korean adults, the genome association analysis information in Korean adults, the genome association analysis in Europe, Information on childhood obesity based on body mass index (BMI), information on childhood obesity based on basal metabolic rate (BMR), genotype information, genetic information, metabolism information, and food ingredient information. The full-length genome association analysis information may include 28 genotypic information related to obesity traits (BMI, BMR). Also, it may include genetic information in which genotyping information is located, metabolism information related to genetic information, and food ingredient information containing metabolic substances. For example, information may be stored in the storage unit 302 such as genetic information-gene information-metabolism information-food material information.

The food information may include calorie information for each food, material information for each food item, nutritional information for each ingredient, number of times consumed per food, and nutritional composition calculation formula information.

The processing unit 303 compares and analyzes the inputted information with the information of the storage unit 302, and can compute the information. The processing unit 303 calculates the risk of obesity according to the genotype information by using the full field genome association analysis information of the storage unit 302 and the genotype information of the input unit 301 when the genotype information is input to the input unit 301, 303 can extract genetic information, metabolism information, and food ingredient information according to the genotype information of the storage unit 302.

When the expression information is input to the input unit 301, the processing unit 303 may generate at least one of the food information using the food information of the storage unit 302. [ The obesity risk information and the diet information generated in the processing unit 303 may be stored in the storage unit 302. The processing unit 303 can calculate the calorie information to be consumed during the goal achievement period for achieving the target weight using the target weight information and the goal achievement period information. The processing unit 303 can extract information related to at least one of the genotype information, the food material information, and the metabolism information by comparing and analyzing the inputted genotype information, the food material information, and the metabolism information. The processing unit 303 can extract the menu information corresponding to the phenotype information by comparing and analyzing the entered user's menu information and the phenotype information.

When the user's menu information is input to the input unit 301, the processing unit 303 can use the food information of the storage unit 302 to evaluate whether the user's food information is uniformly consumed by the nutrient and the food group.

The display unit 304 displays results produced and calculated by the processing unit 303. [

The display unit 304 may display at least one or more of the obesity risk calculated in the processing unit 303 and the diet information created in the processing unit 303. [

4 is a diagram showing an example of a display unit of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure.

It is a display unit of a customized food information recommendation system considering personal genotype and phenotypic information in which genotype information is inputted to an input unit. The display unit includes an obesity risk 403, a metabolite 404, a genetic information index 401 (SNP: Single Nucleotide Polymorphism), an Odd ratio 402, a GCI score (genetic composite index score) And food material information 405 and relative risk information 406 of the genotype information in the field genome association analysis information. The relative risk of the user calculated by the obesity risk calculating formula when the user inputs the genotype information 407, your relative risk) information.

5 is a diagram showing another example of the display unit of the customized food information recommendation system considering personal genotype and phenotype information according to the present disclosure.

It is a display unit of a customized food information recommendation system that considers personal genotype and phenotype information into which expression information is inputted in an input unit. The display unit includes a weight 501, a body mass index 502, a target weight 504, a target period 505, a target calorie 506, a recommended calorie 507, and a recommended diet 508 At least one can be displayed.

Various embodiments of the present disclosure will be described below.

(1) A customized food information recommendation system considering individual genotype and phenotype information, comprising: an input unit for inputting personal information of a user including at least one of genotype information, phenotypic information, and user's diet information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one of the obesity risk calculated by the processing unit and the food information created by the processing unit, based on the personal genotype and the phenotype information.

(2) The personalized food information recommendation system considering personal genotype and phenotype information, wherein the phenotype information further includes at least one of target weight information and target achievement period information.

(3) The processing unit further includes calculating calorie information for achieving the target body weight using the phenotype information, wherein the personalized food information recommendation system considers the personal genotype and the phenotype information.

(4) The food information includes at least one of calorie information for each food, material information for each food, nutritional information for each ingredient, number of times of consumption per food, and nutritional composition calculation formula information. Customized Food Information Recommendation System Considered.

(5) The storage unit may further include at least one of genotype information, genetic information, metabolism information, and food ingredient information, and the processing unit may include genetic information, genetic information, metabolism information, Wherein information related to at least one of information, genetic information, metabolism information, and food ingredient information is further extracted.

(6) a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit when at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit A customized food information recommendation system that takes into consideration individual genotype and phenotype information.

(7) The personalized food information recommendation system considering personal genotype and phenotype information, wherein the phenotype information includes at least one of weight, key, sex, age, target weight information, and target achievement period information of the user.

(8) The customized food information recommendation system considering personal genotype and phenotype information, characterized in that the processor compares and analyzes the inputted user's menu information and phenotype information to extract the menu information corresponding to the phenotype information.

(9) the phenotype information further includes at least one of target weight information and target achievement period information, and the processing unit further includes calculating calorie information for achieving the target weight using the phenotype information, Includes at least one or more of calorie information per food, food information per food, nutrition information per material, number of times consumed per food, and nutrition component calculation formula information, and the storage unit stores at least one of genotype information, genetic information, metabolism information, Wherein the processing unit further comprises at least one of genotype information, genetic information, metabolism information, and genetic information input by comparing and analyzing the information on food ingredients, genetic information, metabolism information, and food ingredient information, Further extracts related information, and at least one of genetic information, genetic information, metabolism information, and food ingredient information And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit when the image is input to the input unit, wherein the phenotype information includes at least one of weight, key, sex, And the processor compares and analyzes the inputted user's menu information with the phenotype information and extracts the menu information corresponding to the phenotype information. The customized food information recommendation system considering the personal genotype and the phenotype information.

According to the present disclosure, there is provided a customized food information recommendation system that considers personal genotype and phenotype information to provide personalized menu information through phenotype information.

Also, according to the present disclosure, there is provided a customized food information recommendation system considering individual genotype and phenotype information for predicting obesity risk through genetic information.

Claims (9)

In a customized food information recommendation system considering individual genotype and phenotype information,
An input unit for inputting user's personal information including at least one of genotype information, phenotypic information, and user's diet information;
Genome wide association study (GWAS) information and food information;
Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And,
And a display unit for displaying at least one or more of the obesity risk calculated by the processing unit and the food information created by the processing unit, based on the individual genotype and the phenotype information. The method according to claim 1,
Wherein the phenotype information further includes at least one of target weight information and target achievement period information, wherein the personalized genotype and phenotype information are taken into account. The method of claim 2,
Wherein the processor further comprises calculating calorie information for achieving the target body weight using the phenotype information, wherein the personalized food information recommendation system considers the personal genotype and the phenotype information. The method according to claim 1,
Wherein the food information includes at least one of calorie information for each food item, material information for each food item, information about nutrition information for each ingredient, the number of consumed foods, and nutrition component calculation formula information. Information Recommendation System. The method according to claim 1,
The full-field genome association analysis information further includes at least one of genotype information, genetic information, metabolism information, and food ingredient information,
The processing unit further extracts information related to at least one of genotype information, genetic information, metabolism information, and food ingredient information, and genotype information, genetic information, metabolism information, and food ingredient information, Personalized food information recommendation system considering personal genotype and phenotype information. The method of claim 5,
When at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit,
And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit, wherein the personalized genotype and the phenotype information are taken into account. The method according to claim 1,
Wherein the phenotype information includes at least one of a body weight, a key, a sex, an age, a target weight information, and a target achievement period information of the user, wherein the personalized genotype and the phenotype information are taken into consideration. The method according to claim 1,
And the processor compares and analyzes the inputted user's menu information and the phenotype information to extract the menu information corresponding to the phenotype information, and the customized food information recommendation system considering the personal genotype and the phenotype information. The method according to claim 1,
The phenotype information further includes at least one of target weight information and target achievement period information,
The processor further comprises calculating calorie information for achieving the target body weight using the phenotype information,
The food information includes at least one of calorie information for each food, material information for each food, nutrition information for each ingredient, number of times of consumption per food, and nutrition component calculation formula information,
The storage unit may further include at least one of genotype information, genetic information, metabolism information, and food ingredient information,
The processing unit further extracts information related to at least one of genotype information, genetic information, metabolism information, and food ingredient information inputted by comparing and analyzing with genotype information, genetic information, metabolism information, and food ingredient information,
When at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit,
And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit,
The phenotype information includes at least one of the user's weight, key, sex, age, target weight information, and target achievement period information,
And the processor compares and analyzes the inputted user's menu information and the phenotype information to extract the menu information corresponding to the phenotype information, and the customized food information recommendation system considering the personal genotype and the phenotype information.
KR1020150156844A 2015-11-09 2015-11-09 Considering the personal genotype and phenotype information customized food information referral system KR20170054628A (en)

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019054737A1 (en) * 2017-09-13 2019-03-21 지니너스 주식회사 Personalized body fat management method using obesity-related genetic information
KR102043959B1 (en) * 2019-07-25 2019-11-12 (주)어메이징푸드솔루션 System for providing personalized food menus based on gene type and health record data
KR102044419B1 (en) * 2019-08-16 2019-11-14 주식회사 클리노믹스 System for Recommending individual beverage using gene Information And Driving method thereof
KR102187955B1 (en) * 2020-03-26 2020-12-08 주식회사 클리노믹스 Method and system for providing healthcare solution based on personal various information
KR102278646B1 (en) * 2020-08-12 2021-07-19 주식회사 디이프 Customized food recommendation system
KR102361703B1 (en) * 2021-07-23 2022-02-14 주식회사 샐러딧 Method and device for providing salad menu recommendation service
KR102506472B1 (en) 2022-11-07 2023-03-07 주식회사 그리네버 Method, device and system for providing hyper-personalized customized food purchase recommendation service based on artificial intelligence
US11600375B2 (en) 2021-07-30 2023-03-07 Reviv Global Ltd Genetically personalized food recommendation systems and methods
US11894121B2 (en) 2021-08-06 2024-02-06 Reviv Global Ltd Prescriptive nutrition-based IV and IM infusion treatment formula creation systems and methods

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019054737A1 (en) * 2017-09-13 2019-03-21 지니너스 주식회사 Personalized body fat management method using obesity-related genetic information
KR102043959B1 (en) * 2019-07-25 2019-11-12 (주)어메이징푸드솔루션 System for providing personalized food menus based on gene type and health record data
KR102044419B1 (en) * 2019-08-16 2019-11-14 주식회사 클리노믹스 System for Recommending individual beverage using gene Information And Driving method thereof
WO2021033817A1 (en) * 2019-08-16 2021-02-25 주식회사 클리노믹스 System for recommending user-customized beverage through genetic test, and method for driving same
KR102187955B1 (en) * 2020-03-26 2020-12-08 주식회사 클리노믹스 Method and system for providing healthcare solution based on personal various information
KR102278646B1 (en) * 2020-08-12 2021-07-19 주식회사 디이프 Customized food recommendation system
KR102361703B1 (en) * 2021-07-23 2022-02-14 주식회사 샐러딧 Method and device for providing salad menu recommendation service
KR20230056532A (en) * 2021-07-23 2023-04-27 주식회사 샐러딧 Method for recommendating user-customized salad considering calories
US11600375B2 (en) 2021-07-30 2023-03-07 Reviv Global Ltd Genetically personalized food recommendation systems and methods
US11894121B2 (en) 2021-08-06 2024-02-06 Reviv Global Ltd Prescriptive nutrition-based IV and IM infusion treatment formula creation systems and methods
KR102506472B1 (en) 2022-11-07 2023-03-07 주식회사 그리네버 Method, device and system for providing hyper-personalized customized food purchase recommendation service based on artificial intelligence

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