KR20210076814A - Method and computer programs for using genomic data to manage personal genomic information - Google Patents

Abstract

According to an embodiment of the present invention, provided is a genomic data utilizing method comprising: a step of inputting, by an input device of a genomic data utilizing device, a genomic analysis input of a first user; a step of providing, by the genomic data utilizing device, a test kit for acquiring the living cells of the first user in response to the genomic analysis input; a step of acquiring, by the genomic data utilizing device, the test kit combined with the living cells of the first user through the input device; a step of acquiring, by the genomic data utilizing device, genomic data of the first user by applying an analysis template to the test kit; and a step of calculating, by the genomic data utilizing device, one of a hair loss genetic score, a hair thickness genetic score, a skin aging genetic score, a skin elasticity genetic score, a body mass index genetic score, a triglyceride genetic score, a low-density cholesterol genetic score, a high-density cholesterol genetic score, a blood sugar related genetic score, a blood pressure related genetic score, a vitamins C genetic score, and a caffeine genetic score in the genomic data of the first user. Accordingly, it is possible to manage individual genomic data and generate various recommendation data by utilizing the genetic scores acquired from the individual genomic data.

Description

A method of utilizing genome data and a computer program to manage an individual's genome information {METHOD AND COMPUTER PROGRAMS FOR USING GENOMIC DATA TO MANAGE PERSONAL GENOMIC INFORMATION}

An embodiment of the present specification relates to a genomic data utilization method and computer program for managing an individual's genomic information, and more specifically, to prevent the illegal distribution of an individual's genomic data and to make personalized recommendations based on the individual's genomic data It relates to a method and computer program for generating and providing information.

Genome refers to all genomic information of an organism. The technology for sequencing an individual's genome has been continuously developed, and various technologies such as the next generation sequencing technology and the next next generation sequencing technology are being developed. Analysis of genomic information such as nucleic acid sequences and proteins is widely used to find genes that express diseases such as diabetes and cancer, or to identify correlations between genetic diversity and expression characteristics of individuals. In particular, genomic information collected from individuals is important in identifying the genetic characteristics of individuals related to different symptoms or disease progression. Therefore, genomic information such as an individual's nucleic acid sequence, protein, etc. is a key data for preventing disease or selecting an optimal treatment method at an early stage of disease by identifying current and future disease-related information. Technologies that accurately analyze individual genome information using genome detection equipment such as DNA chips and microarrays that detect SNP (Single Nucleotide Polymorphism) and CNV (Copy Number Variation) as genomic information of living things are being researched. have.

The technical task to be achieved by this embodiment is in accordance with the above-mentioned necessity, and it is to provide a system that utilizes individual genome information.

The genomic data utilization method according to embodiments of the present invention includes the steps of: detecting, by a genome data utilization device, a first terminal entering through a receiver disposed in a store, and acquiring first order information through an order terminal disposed in the store ; receiving, by the dielectric data utilization device, a serial number for the first terminal through the receiver, and obtaining dielectric characteristic information corresponding to the serial number of the first terminal; and the dielectric data utilization device determines a supplementary item from the first order information based on the dielectric property information, generates second order information corrected for the supplementary item, and places the second order information in the store It may include; transmitting to the order terminal.

In the obtaining of the dielectric property information, the dielectric property information of the first terminal is retrieved by using the serial number of the first terminal, and when the dielectric property information of the first terminal is not found, the store To the terminal disposed in, it is possible to transmit a signal requesting the target cell of the user of the first terminal.

The step of obtaining the dielectric property information When the first order information includes information about a caffeinated beverage, It is possible to obtain dielectric characteristic information related to caffeine absorption corresponding to the serial number of the first terminal.

In the acquiring of the dielectric characteristic, when the first order information includes information about a hair product, hair-related dielectric characteristic information corresponding to the serial number of the first terminal may be acquired.

The genomic data utilization method according to the embodiments of the present invention includes the steps of, by the genomic data utilization apparatus, acquiring a target cell of a second user through a terminal disposed in a store, and extracting genomic data from the target cell of the second user, , and applying an analysis template to the genome data may further include obtaining the dielectric property information of the second user.

The genomic data utilization method according to the embodiments of the present invention analyzes the genomic data of the second user to determine a hair loss genetic score, a hair thickness genetic score, a skin aging genetic score, a skin elasticity genetic score, a body mass genetic score, and a triglyceride genetic score. , low-density cholesterol genetic score, and high-density cholesterol genetic score, and the hair loss genetic score, hair thickness genetic score, skin aging genetic score, skin elasticity genetic score, body mass genetic score, triglyceride genetic score, low density cholesterol genetic score, and Determining the future risk factors of the second user by using the high-density cholesterol genetic score, and requesting the insurance company server to recommend an insurance product that supplements the future risk factors of the second user; may further include.

The acquiring of the genetic characteristics may include acquiring a body mass genetic score corresponding to the serial number of the first terminal when the first order information includes exercise information.

The acquiring of the genetic characteristics may include acquiring a low-density cholesterol genetic score and a high-density cholesterol genetic score of the first terminal when the first order information includes exercise information.

In the acquiring of the dielectric characteristic, the type of the acquired dielectric characteristic information of the first terminal may be different in consideration of the type of information included in the first order information.

The store may be at least one of a food sales business, a clothing sales business, a cosmetics sales business, a health food sales business, an exercise center, and a beverage sales business existing offline.

A computer program according to an embodiment of the present invention may be stored in a medium to execute any one of the methods according to an embodiment of the present invention using a computer.

In addition to this, another method for implementing the present invention, another system, and a computer readable recording medium for recording a computer program for executing the method are further provided.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to the present invention as described above, it is possible to manage individual genomic data and generate various recommendation data by using genetic scores obtained from individual genomic data.

1 is a diagram of a network environment of a system for utilizing genetic data according to embodiments of the present invention.
2 is a block diagram of an apparatus 100 for utilizing genome data according to embodiments of the present invention, and FIG. 3 is a block diagram of a product recommendation unit.
4 is a block diagram of a genetic data management server 200 according to embodiments of the present invention, and FIG. 5 is a block diagram of an information management unit.
6 is a perspective view of an apparatus for utilizing dielectric data according to embodiments of the present invention, and FIG. 7 is a block diagram of the apparatus for utilizing dielectric data.
9 is a block diagram of an apparatus 100a for utilizing genome data according to embodiments of the present invention, and FIG. 9 is a block diagram of the genome information analyzer 110a.
10 is a flowchart of a method for utilizing genome data according to embodiments of the present invention.
11 is a diagram illustrating data transmission/reception between a genome data utilization device, a customer terminal, and an insurance company server.
12 to 13 are flowcharts of a dielectric data utilization method according to embodiments of the present invention.

“Includes,” which can be used in various embodiments of the present disclosure. or "may include." The expression “etc” indicates the existence of the disclosed function, operation, or component, and does not limit one or more additional functions, operations, or components. Also, in various embodiments of the present disclosure, "includes." Or "have." The term such as is intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and is intended to indicate that one or more other features or numbers, steps, operation, component, part or It should be understood that it does not preclude the possibility of the existence or addition of combinations thereof.

In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of the words listed together. For example, "A or B" may include A, may include B, or may include both A and B.

Expressions such as “first”, “second”, “first”, or “second” used in various embodiments of the present disclosure may modify various components of various embodiments, but do not limit the components. does not For example, the above expressions do not limit the order and/or importance of corresponding components. The above expressions may be used to distinguish one component from another. For example, both the first user device and the second user device are user devices, and represent different user devices. For example, without departing from the scope of the various embodiments of the present disclosure, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

When a component is referred to as being “connected” or “connected” to another component, the component may be directly connected or connected to the other component, but the component and It should be understood that other new components may exist between the other components. On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it will be understood that no new element exists between the element and the other element. should be able to

In an embodiment of the present disclosure, terms such as “module”, “unit”, “part”, etc. are terms used to refer to a component that performs at least one function or operation, and these components are hardware or software. It may be implemented or implemented as a combination of hardware and software. In addition, a plurality of "modules", "units", "parts", etc. are integrated into at least one module or chip, and are integrated into at least one processor, except when each needs to be implemented in individual specific hardware. can be implemented as

The terminology used in various embodiments of the present disclosure is only used to describe one specific embodiment, and is not intended to limit the various embodiments of the present disclosure. The singular expression includes the plural expression unless the context clearly dictates otherwise.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present disclosure pertain.

Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in various embodiments of the present disclosure, ideal or excessively formal terms not interpreted as meaning

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram of a network environment of a system for utilizing genetic data according to embodiments of the present invention.

The genome data utilization system 10 may include a genome data utilization apparatus 100 and a genetic data management server 200 connected through a communication network.

The genome data utilization system 10 may acquire the user's genome data through the genome data utilization apparatus 100 . The genome data utilization apparatus 100 may read the individual's genome information as a whole or partially read the individual's characteristics (characteristics). The genome data utilization apparatus 100 may recommend a product based on individual characteristics.

The genomic data utilization device 100 includes hair characteristics, skin characteristics, obesity-related characteristics, fat-related characteristics, cholesterol-related characteristic information, blood sugar-related characteristic information, blood pressure-related characteristic information, absorption-related characteristic information for vitamin C, caffeine-related characteristic information You can create a report analyzing it.

The genomic data utilization apparatus 100 may obtain the user's oral epithelial cells using a test kit and extract genomic information from the user's oral epithelial cells. The genomic data utilization apparatus 100 may provide a report analyzing 23 types of cancer, 60 types of general diseases, 50 types of characteristic information, etc. based on the user's genome information.

The genome data utilization apparatus 100 may recommend a product suitable for each individual's characteristics based on the individual's genome information. In more detail, the genome data utilization apparatus 100 may generate recommendation information for recommending shampoo, hair product, nutritional supplement, etc. suitable for personal hair characteristic information based on the individual's genome information. The genomic data utilization device 100 determines the individual's blood characteristic information based on the individual's genomic information, and recommends information on high blood pressure medicine, diabetes treatment, food, exercise, lifestyle, etc. suitable for the individual's blood characteristic information. can create The genomic data utilization apparatus 100 may determine the individual's caffeine absorption characteristic information based on the individual's genomic information and generate recommendation information including beverages, lifestyle, and appropriate caffeine dose suitable for the individual's caffeine absorption characteristic information. have. The genomic data utilization apparatus 100 may measure the individual's vitamin C absorption characteristic information based on the individual's genomic information and generate recommendation information suitable for the individual's vitamin C absorption characteristic information. The genome data utilization apparatus 100 may measure personal skin characteristic information based on the individual's genome information, and may generate recommendation information including cosmetics, food, lifestyle, etc. suitable for the personal skin characteristic information. The genomic data utilization device 100 measures an individual's cholesterol characteristic information and triglyceride characteristic information based on the individual's genomic information, and includes nutritional supplements, food, lifestyle, etc. suitable for individual cholesterol characteristic information and triglyceride characteristic information. Recommendation information can be generated. The genome data utilization apparatus 100 may recommend suitable food or nutritional supplements based on information obtained through the individual's genome information. The genomic data utilization device 100 diagnoses future personal health characteristic information based on the individual's genome information, considers the health characteristic information, and generates information such as nutritional supplements and exercise to improve the individual's health condition. can provide The genomic data utilization apparatus 100 may encrypt with a control right to prevent an individual's genomic information from being randomly disclosed. Recommendation information including nutritional supplements, medical services, personalized cosmetics, personalized exercise, etc. may be provided by using the genome analysis information obtained through the genome data utilization device 100 . The information generated by the genome data utilization apparatus 100 may be provided in response to a predetermined fee to an insurance company, a pharmaceutical company, a hospital, a health supplement company, and the like. The genome data utilization apparatus 100 may generate a report including recommendation information generated from individual genome information.

The dielectric data utilization apparatus 100 includes an input unit to receive dielectric data of an object. Here, the object may be an animal, a plant, or a human having a life. Here, the genomic data refers to genomic data obtained through the object of the object. The user's genomic data refers to information obtained by a genetic test request service requested by the user and decoded through various analysis service devices. Genomic data can be collected in a variety of ways, such as Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), Gene Panel, and Single Nucleotide Polymorphism (SNP). It may be data analyzed by one of the analysis methods.

The genome data utilization apparatus 100 may receive genome data from an external genome data collection apparatus. Here, the external genome data collection device (not shown) may perform a function of outputting the genome data by analyzing the material of the object.

The genomic data utilization apparatus 100 may obtain genomic data of a user and generate various medical data based on the acquired genomic data of the user. Medical data generated by the genomic data utilization apparatus 100 refers to data obtained by analyzing genomic data, such as disease risk values, drug sensitivity values, carrier test result values, wellness and physical characteristics.

The genome data utilization apparatus 100 may generate various types of processed data based on medical data significantly extracted from the genome data. For example, the genome data utilization apparatus 100 may obtain a skin tone color value of the user from the genome data and generate cosmetic data suitable for the user from the skin tone color value as various processing data. The genomic data utilization apparatus 100 may predict a user's future disease risk from the genomic data and generate information about an insurance product capable of covering the predicted disease risk as various processed data. The genomic data utilization apparatus 100 may calculate the user's drug sensitivity from the genomic data and generate prescription information in consideration of the calculated drug sensitivity as various processed data. In this case, the genomic data utilization apparatus 100 may generate various processed data in consideration of the disease risk and drug sensitivity for an already onset disease.

The genome data utilization apparatus 100 may comprehensively consider the medical data for the user obtained based on the genome data to generate information on the user's lifestyle as various processed data. The genomic data utilization apparatus 100 may comprehensively consider the medical data for the user obtained based on the genomic data and generate various processed data for interior, electronic products, exercise, etc. that affect the user's overall life. . Additionally, various processed data may include data related to the user's food, clothing, and shelter, for example, coordinate recommendation information by weather, a residence where health can be maintained in the characteristics of the user, food information in consideration of the user's disease risk and drug sensitivity. can

The genome data management server 200 may receive genome data from the genome data utilization device 100 or the genetic data collection device, record it in a database, and manage it.

The genome data management server 200 may encrypt and distribute the genome data. The genome data may be encoded according to a preset encryption rule. In addition, processed data may also be encoded by encryption rules. In this case, the dielectric data and the processed data may be encoded in different ways.

The genome data management server 200 may process genome data using block chain technology. The genome data management server 200 may generate and manage genome data in blocks. A user device having a block key value may read the genome data of the block.

In another embodiment, the genome data management server 200 may distributedly manage the encryption information for encrypting the genome data in a block chain system.

Here, the block chain is also called a public transaction ledger and is a technology that prevents hacking that can occur when transacting with virtual currency. The blockchain sends transaction details to all users participating in the transaction and uses a method to prevent data forgery by verifying each transaction. Blockchain is applied to Bitcoin, a representative online virtual currency. Bitcoin transparently records transaction details in a ledger that anyone can read, and several computers using Bitcoin verify this record once every 10 minutes to prevent hacking.

A blockchain system may be implemented including one or more blockchain servers. The blockchain system manages the individual's genome information and issues a certificate for the individual's genome information to create a block.

2 is a block diagram of an apparatus 100 for utilizing dielectric data according to embodiments of the present invention.

The dielectric data utilization apparatus 100 may include a product recommendation unit 110 , a processor 120 , an output unit 130 , an input unit 140 , and a communication unit 150 .

The processor 120 is a component for controlling the overall dielectric data utilization apparatus 100 . More specifically, the processor 120 controls the overall operation of the genome data utilization apparatus 100 by using various programs stored in the product recommendation unit 110 of the genome data utilization apparatus 100 . For example, the processor 120 may include a CPU, a RAM, a ROM, and a system bus. Here, the ROM is a configuration in which an instruction set for system booting is stored, and the CPU copies the stored operating system of the electronic device 100 to the RAM according to the instructions stored in the ROM, and executes an O/S to boot the system. When booting is completed, the CPU can perform various operations by copying various stored applications to RAM and executing them. Although it has been described above that the dielectric data utilization apparatus 100 includes only one CPU, it may be implemented with a plurality of CPUs (or DSPs, SoCs, etc.).

According to an embodiment of the present invention, the processor 120 may be implemented as a digital signal processor (DSP) processing a digital signal, a microprocessor, or a time controller (TCON). However, the present invention is not limited thereto, and a central processing unit (CPU), a micro controller unit (MCU), a micro processing unit (MPU), a controller, an application processor (AP), or It may include one or more of a communication processor (CP) and an ARM processor, or may be defined by a corresponding term. In addition, the processor 120 may be implemented as a system on chip (SoC), large scale integration (LSI), or a field programmable gate array (FPGA) having a built-in processing algorithm.

The output unit 130 may display the interface generated by the dielectric data utilization device 100 by the product recommendation unit 110 . According to an embodiment of the present invention, the output unit 130 may display a user interface for a user input input through the input unit 140 . The output unit 130 may output the stored graphic data, visual data, auditory data, and vibration data under the control of the product recommendation unit 110 .

The output unit 130 may be implemented as various types of display panels. For example, the display panel is a liquid crystal display (LCD), organic light emitting diode (OLED), active-matrix organic light-emitting diode (AM-OLED), liquid crystal on silicon (LcoS), digital light processing (DLP), etc. It can be implemented with various display technologies. Also, the output unit 130 may be coupled to at least one of a front area, a side area, and a rear area of the display panel in the form of a flexible display.

The output unit 130 may be implemented as a touch screen having a layer structure. The touch screen may have a function of detecting not only a display function but also a touch input position and a touched area, as well as a touch input pressure, and may also have a function of detecting a proximity touch as well as a real-touch. can

The input unit 140 may include a user interface for inputting various types of information to the genome data utilization apparatus 100 .

The communication unit 150 is configured to transmit/receive data to and from devices such as a server and other electronic devices. The communication unit 150 includes a Bluetooth communication unit, a BLE (Bluetooth Low Energy) communication unit, a near field communication unit, a WLAN (Wi-Fi) communication unit, a Zigbee communication unit, an infrared (IrDA, infrared Data Association) communication unit, a WFD ( It may include a Wi-Fi Direct) communication unit, an ultra wideband (UWB) communication unit, a short-distance communication unit such as an Ant+ communication unit, a mobile communication network, or a wired Ethernet network.

The genome data utilization apparatus 100 may further include a storage medium (not shown) storing various data for overall operations, such as a program for processing or controlling the processor 120 . The storage medium may store a plurality of application programs (application programs or applications) driven in the genome data utilization apparatus 100 , data for operation of the genome data utilization apparatus 100 , and instructions. At least some of these application programs may be downloaded from an external server through wireless communication. In addition, at least some of these application programs may exist on the genome data utilization apparatus 100 from the time of shipment for a basic function of the genome data utilization apparatus 100 . The application program may be stored in a storage medium and driven to perform an operation (or function) of the dielectric data utilization apparatus 100 by the processor 120 .

The product recommendation unit 110 may receive the user's genetic data and generate recommendation data to the user through the genetic data.

When the structure of the product recommendation unit 110 is described with reference to FIG. 3 , the product recommendation unit 110 includes a genome information acquisition unit 111 , a genetic data analysis unit 112 , a recommendation data generation unit 113 , and prediction information. A generator 114 may be included.

The genome information acquisition unit 111 acquires the user's genome information. The genome information acquisition unit 111 may receive genetic data from an external genome data collection device. The genome data collection apparatus may output genetic data based on biological data including individual genome information. The genome data collection apparatus may output digital data converted from the individual's genome information.

The genome data analyzer 112 may generate genetic characteristic information based on the user's genome data. The genome data analyzer 112 may analyze the genome data to generate genetic characteristic information. Here, the genetic characteristic information refers to data obtained from genomic data, such as disease risk values, drug sensitivity values, carrier test result values, wellness and physical characteristics, and the like.

The genome data analyzer 112 may acquire genomic data including a nucleotide mutation of a genome from a user's living cells and acquire transcript data for confirming whether or not the genome is expressed.

The genome data analysis unit 112 selects a genome analysis method for processing living cells using the pathological data of living cells of the living organism and the species of the living organism, and selects a genome analysis method for the species of living cells of the living cells. According to this, the arrangement of genes and the degree of expression of genes can be analyzed.

Examples of the types of genomic data processing methods include Whole Genome Sequencing (WGS) or Whole Exome Sequencing (WES), which is a genomics technique, and Microarray or Rn which is a transcriptomics technique. A Sequencing (RNA Sequencing), Proteomics (MALDI-TOF, Matrix-Assisted Laser Desorption-Ionization Time Of Flight), Liquid Chromatography-Mass Spectrometry (LC-MS, Liquid Chromatography-Mass) Spectrometry), Metabolomics Techniques, Nuclear Magnetic Resonance-Mass Spectrometry (NMR-MS), Liquid Chromatography-Mass Spectrometry (LC-MS), Gas Chromatography There is a graph-mass spectrometry (GC-MS, Gas Chromatography-Mass Spectrometry).

In addition, the processing method of the genome data may include the following analysis method.

- (A) Genomic data: whole genome, exome sequence data and analysis data, etc. (can be processed by processing/processing methods such as variant calling, assembly, CNV, SV, visualization, etc.)

- (B) Transcript data: RNA-seq, miRNA-seq sequence data and analysis data, etc. (Can be processed by processing/processing methods such as quantification, variant detection, alternative splicing, DEG, etc.)

- (C) Epigenetic data: ChIP-seq, Histone modifications, DNA methylation analysis data and visualization data, etc.

- (D) Network analysis and signal transduction regulation and Pharmaco-Genomic data: network inference, subnetwork and module analysis, pathway identification, transcriptional regulation, protein interaction, functional network, disease-drug-genomic information data mining, etc.

- (E) Meta-genome data: microbiota, phylogeny analysis, etc.

The recommendation data generator 113 may generate recommendation data based on medical data. The recommendation data generator 113 may generate recommendation data in response to a preset request. The recommendation data generator 113 may generate recommendation data in response to a user input. A type and/or category of recommendation data corresponding to the request or input may be determined. Here, the recommendation data may include data on insurance products, data on cosmetics, data on recommended drugs for diseases, and user-customized drug recommendation data.

The recommendation data generator 113 may generate recommendation data based on medical data related to user characteristic information obtained through genetic data.

For example, the recommendation data generator 113 measures the user's skin characteristic information from the genome data, and determines the hair thickness to the user based on the thickness of the hair, whether or not hair loss, etc. included in the skin characteristic information. You can search for and provide hair products. The recommendation data generating unit 113 may search for and provide a hair product that prevents hair loss from proceeding further in consideration of whether or not the user has hair loss. The recommendation data generation unit 113 may predict a user's future disease risk from the genomic data and generate information about an insurance product capable of covering the predicted disease risk as various processed data. The recommendation data generator 113 may calculate the user's drug sensitivity from the genomic data and generate prescription information in consideration of the calculated drug sensitivity as various processed data. The recommendation data generator 113 may generate data (type, intensity, time, etc.) about an exercise suitable for the user based on the user's carrier test result value from the genomic data.

The prediction information generator 114 may generate information on a health state or a genetic characteristic based on the genome data.

Here, information on health status or genetic characteristics corresponds to genetically innate information, and may also be related to health status or characteristics at a future point in time, such as 1 year, 5 years, 10 years, 50's, 60's, etc. can Information about future health conditions or genetic traits may include health conditions for specific conditions. Specifically, the future health state may include a health state after 5 years of exercising for 30 minutes or more 3 times a week or a health state after 5 years of not exercising. The future health state may include a health state 5 years after taking the health supplement product, and a health state 5 years after not taking the health supplement product.

In addition, the prediction information generator 114 predicts the future height value through the user's genomic information when the user is a growing child, and recommends information (nutrients, treatment methods, exercise) that can affect the highest height value. , food, etc.).

4 is a block diagram of a genome data management server 200 according to embodiments of the present invention.

4 , the genome data management server 200 may include an information management unit 210 , a processor 220 , an output unit 230 , an input unit 240 , and a communication unit 250 .

The processor 220 is a configuration for controlling the genome data management server 200 as a whole. More specifically, the processor 220 controls the overall operation of the genome data management server 200 using various programs stored in the information management unit 210 of the genome data management server 200 . For example, the processor 220 may include a CPU, a RAM (RAM), a ROM (ROM), and a system bus. Here, the ROM is a configuration in which an instruction set for system booting is stored, and the CPU copies the stored operating system of the genome data management server 200 to the RAM according to the instructions stored in the ROM, and executes O/S to boot the system. . When booting is completed, the CPU can perform various operations by copying various stored applications to RAM and executing them. Although it has been described above that the genome data management server 200 includes only one CPU, it may be implemented with a plurality of CPUs (or DSPs, SoCs, etc.).

According to an embodiment of the present invention, the processor 220 may be implemented as a digital signal processor (DSP) processing a digital signal, a microprocessor, or a time controller (TCON). However, the present invention is not limited thereto, and a central processing unit (CPU), a micro controller unit (MCU), a micro processing unit (MPU), a controller, an application processor (AP), or It may include one or more of a communication processor (CP) and an ARM processor, or may be defined by a corresponding term. In addition, the processor 220 may be implemented as a system on chip (SoC), large scale integration (LSI), or a field programmable gate array (FPGA) having a built-in processing algorithm.

The communication unit 230 is configured to transmit/receive data to and from devices such as a server and other electronic devices. The communication unit 230 includes a Bluetooth communication unit, a BLE (Bluetooth Low Energy) communication unit, a near field communication unit, a WLAN (Wi-Fi) communication unit, a Zigbee communication unit, an infrared (IrDA, infrared Data Association) communication unit, a WFD ( It may include a Wi-Fi Direct) communication unit, an ultra wideband (UWB) communication unit, a short-distance communication unit such as an Ant+ communication unit, a mobile communication network, or a wired Ethernet network.

The genome data management server 200 may further include a storage medium (not shown) storing various data for overall operations, such as a program for processing or controlling the processor 220 . The storage medium may store a plurality of application programs (application programs or applications) driven in the genome data utilization apparatus 100 , data for the operation of the genome data management server 200 , and instructions. At least some of these application programs may be downloaded from an external server through wireless communication. In addition, at least some of these application programs may exist on the genome data management server 200 from the time of shipment for the basic function of the genome data management server 200 . The application program is stored in a storage medium, and may be driven by the processor 220 to perform an operation (or function) of the genome data management server 200 .

Referring to FIG. 5 , the structure of the information management unit 210 of the genome data management server 200 will be described.

The information management unit 210 may include a genome data acquisition unit 211 , an authority setting unit 212 , an encryption unit 213 , and an information providing unit 214 .

The genome data acquisition unit 211 may store and manage the genome data and/or recommendation data based on the genome data in the external database 300 .

The authority setting unit 212 may set authority to the acquired genetic data. The right to the genomic data refers to the right to read the genetic data, and may be granted to a user related to the object of the genomic data. The format of the genome data may be endocing in consideration of the authority to the genome data. The modified genome data may be implemented to be opened only to a user with a predetermined authority. The modified genome data may be processed to be decoded through a key held by an authorized person.

The encryption unit 213 may encrypt genetic data. Here, the encryption method may be encrypted through a symmetric encryption method and an asymmetric encryption method. The symmetric encryption method can be encrypted with either a block cipher that encrypts a certain number of bits or a stream cipher that encrypts continuous data. Examples of the symmetric encryption method may include DES, 3DES, AES, SEED, HIGHT, ARIA, LEA, blowfish, and the like.

The asymmetric encryption method refers to encryption using another encryption key and a decryption key. Specifically, it may be Diffie-Hellman key exchange, DSS, EGamal, ECC, RSA encryption, or the like.

The encryption unit 213 may encrypt the genome data using a one-way encryption method. The one-way encryption method refers to encryption that makes it impossible to decrypt the ciphertext into plaintext. It uses a hash technique and may be SHA-256, SHA-3, MD5, or the like.

The encryption unit 213 may generate genomic data as a block and manage it with an external distributed blockchain system. In another embodiment, the encryption unit 213 may generate identification information of the genome data as a block and manage it with a block chain system.

The encryption unit 213 may generate information on encryption of the genome data as a block and manage the generated block as a block chain system. The encryption unit 213 may generate an encryption key or a decryption key of genetic data as a block and manage it in a block chain system.

The encryption unit 213 may be implemented to encrypt the individual's genome information only when there is the individual's prior consent information.

The information providing unit 214 may provide the genome data in response to a signal requesting the genome data. The information providing unit 214 may provide information capable of deciphering the genome data. The information providing unit 214 may provide path information on a block providing genomic data. The information providing unit 214 may provide path information on a block of information capable of deciphering the genomic data.

The information providing unit 214 may write personal genome information to an IC chip and provide it in the form of a card including a recording medium. A certificate that can access an individual's genomic information may be provided in the form of a card. In the memory included in the card, the individual's genome information or identification information of the individual's genome information, a certificate for accessing the individual's genome information, etc. may be stored.

The information providing unit 214 may differently set the access right to the individual's genomic information in relation to the individual's mental illness. The right to access the genomic information of the mentally ill person can be given to the person around the person, the manager.

6 is a perspective view of a dielectric data utilization apparatus 100' according to embodiments of the present invention, and FIG. 7 is a block diagram of the dielectric data utilization apparatus 100'.

The dielectric data utilization device 100 ′ may include a display device 10 ′, an input device 20 ′, and an output device 30 ′.

The user 1 may access the dielectric data utilization apparatus 100 ′ through the electronic device 2 . The user 1 may transmit the genetic data to the genome data utilization apparatus 100 ′ through the electronic device 2 . The user 1 may receive the recommendation data received from the genome data utilization apparatus 100 ′ through the electronic device 2 .

Data generated by the dielectric data utilization device 100 ′ may be output through the display device 10 ′. The genetic data may be input to the input device 20'. The genetic data may be input through the input device 20' in the form of paper, electronic data, or the like.

Based on the genetic data, the recommendation data may be output in the form of paper or the like through the output device 30 ′. The recommendation data may be transmitted to an external electronic device in an electronic form through the output device 30 ′.

The display device 10 ′ may provide input genetic data and provide recommendation data corresponding to the genetic data.

The dielectric data utilization device 100 ′ includes a first control unit 11 ′ for controlling the display device 10 ′, a second control unit 21 ′ for controlling the input device 20 ′, and an output device 30 ′. It may include a third control unit 31' for controlling.

The product recommendation unit 110' may receive genetic data using the first control unit 11', the second control unit 21', and the third control unit 31', and may provide recommendation data corresponding to the genetic data. have. The input device 20' may be implemented to directly input a target cell of a living organism. The input device 20 ′ may be implemented to provide a test kit for acquisition of target cells when detecting a user's approach. The user may provide the test kit at the entrance of the input device 20' after including the biological material in the test kit provided by the input device 20'. The input device 20 ′ may include a configuration for providing the test kit and a configuration for obtaining the test kit. The configuration for providing the test kit may be implemented to provide one test kit by a user input. The configuration for obtaining the test kit may be implemented in a manner of moving the test kit inside.

The input device 20' may input a user input. The input device 20' may input a user input for a characteristic to be analyzed.

8 is a block diagram of an apparatus 100a for utilizing dielectric data according to other embodiments of the present invention.

The genome data utilization apparatus 100a may include a genome information analysis unit 110a, a processor 120a, an output unit 130a, an input unit 140a, and a communication unit 150a. Since the processor 120a has the same operation as the processor 120 , a detailed description thereof will be omitted. Since the output unit 130a has the same operation as the output unit 130 , a detailed description thereof will be omitted. Since the input unit 140a has the same operation as the input unit 140 , a detailed description thereof will be omitted. Since the communication unit 150a has the same operation as the communication unit 150 , a detailed description thereof will be omitted.

The processor 120a may read and execute instructions included in the genome information analysis unit 110a. The processor 120a may execute the instructions recorded in the genome information analysis unit 110a and/or the recording medium to process it.

The genome information acquisition unit 111a acquires the user's genome information. The genome information acquisition unit 111a may receive genome data from an external genome data collection device. The genome data collection apparatus may output genome data based on biological data including individual genome information. The genome data collection apparatus may output digital data converted from the individual's genome information.

The genome information acquisition unit 111a may further include an input device for inputting the test kit, and may acquire genome data through a derivative included in the test kit.

The analysis template search unit 112a may search for an analysis template for acquiring characteristic information to be analyzed. Here, the analysis template includes a first template for analyzing hair-related characteristic information, a second template for analyzing skin-related characteristic information, a third template for analyzing obesity-related characteristic information, a fourth template for analyzing blood-related characteristic information, and vitamins C may include at least one of a fifth template for analyzing absorption-related properties and a sixth template for analyzing caffeine absorption-related properties.

Here, the first template may measure the degree of hair loss based on mutation information on genes such as IL2RA, HLA-DQB1, and chr20p11 in the genomic data. The first template may measure hair thickness based on mutation information on the EDAR gene in the genomic data. The first template may measure the degree of hair loss and hair thickness based on mutation information on the genes of IL2RA, HLA-DQB1, chr20p11, and EDAR in the genomic data.

Here, the second template may measure pigmentation based on mutation information on genes such as MCIR and OCA2 in the genomic data. The second template may measure the degree of acceleration of skin aging based on mutation information on genes such as AGER in the genomic data. The second template may measure the degree of decrease in skin elasticity based on the degree of mutation in genes such as MMP1 in the genomic data. The second template may measure skin-related characteristic information based on the degree of mutation in genes such as MCIR, OCA2, AGER, and MMP1 in genomic data.

The third template may measure characteristic information on the regulatory function of body mass index based on the degree of mutation in genes such as BDNF, MC4R, and FTO in the genomic data. The third template may measure obesity-related characteristic information related to normal triglyceride levels based on mutations in genes such as GCKR, DOCK7, ANGPTL3, BAZIB, TRIB1, MLXIPL, and TBL2 in genomic data. The third template may measure obesity-related characteristic information related to whether the low-density cholesterol level is normal based on the degree of mutation in genes such as ABO, HMGCR, SORT1, and CELSR2 in the genomic data. The third template may measure obesity-related characteristic information related to whether or not high-density cholesterol levels are normal based on mutations in genes such as CETP, LIPG, MYL2, and ABCA1 in the genomic data.

The fourth template measures blood-related characteristic information related to the possibility that the blood glucose level is above the normal range based on the degree of mutation in genes such as GCKR, CDKN2A/B, G6PC2, GCK, SLC30A8, DGKB, MTNR1B, and GLIS3 in the genomic data. can do. The fourth template can measure blood-related characteristic information related to the possibility that the blood pressure level is above the normal range based on the degree of mutation in genes such as NPR3, ATP2B1, NT5C2, CSK, FGF5, CYP17A1, GUCY1A3, and HECTD4 in the genome. have.

The fifth template may measure characteristic information related to the absorption rate of vitamin C based on the degree of mutation in genes such as SLC23A1 in the genomic data.

The sixth template may measure characteristic information related to caffeine consumption ability based on the degree of mutation in genes such as CYP1A1-CYP1A2 and AHR in genomic data.

The genome data analyzer 113a may generate genetic property information from the user's genome data by using the first to sixth analysis templates.

The genome data analyzer 113a may acquire genomic data including a nucleotide mutation of a genome from a user's living cells and acquire transcript data for confirming whether or not the genome is expressed.

The genome data analysis unit 113a selects a genome analysis method for processing living cells using the pathological data of living cells of the living organism and the species of the living organism, and selects a genome analysis method for the species of living cells of the living cells. According to this, the arrangement of genes and the degree of expression of genes can be analyzed.

Examples of the types of genomic data processing methods include Whole Genome Sequencing (WGS) or Whole Exome Sequencing (WES), which is a genomics technique, and Microarray or Rn which is a transcriptomics technique. A Sequencing (RNA Sequencing), Proteomics (MALDI-TOF, Matrix-Assisted Laser Desorption-Ionization Time Of Flight), Liquid Chromatography-Mass Spectrometry (LC-MS, Liquid Chromatography-Mass) Spectrometry), Metabolomics Techniques, Nuclear Magnetic Resonance-Mass Spectrometry (NMR-MS), Liquid Chromatography-Mass Spectrometry (LC-MS), Gas Chromatography There is a graph-mass spectrometry (GC-MS, Gas Chromatography-Mass Spectrometry).

In addition, the processing method of the genome data may include the following analysis method.

- (A) Genomic data: whole genome, exome sequence data and analysis data, etc. (can be processed by processing/processing methods such as variant calling, assembly, CNV, SV, visualization, etc.)

- (B) Transcript data: RNA-seq, miRNA-seq sequence data and analysis data, etc. (Can be processed by processing/processing methods such as quantification, variant detection, alternative splicing, DEG, etc.)

- (C) Epigenetic data: ChIP-seq, Histone modifications, DNA methylation analysis data and visualization data, etc.

- (D) Network analysis and signal transduction regulation and Pharmaco-Genomic data: network inference, subnetwork and module analysis, pathway identification, transcriptional regulation, protein interaction, functional network, disease-drug-genomic information data mining, etc.

- (E) Meta-genome data: microbiota, phylogeny analysis, etc.

The characteristic information generator 114a may analyze genome data using analysis templates and generate genetic characteristic information using the analysis result. Here, the genetic characteristic information may include hair-related characteristic information, skin-related characteristic information, obesity-related characteristic information, blood-related characteristic information, vitamin C absorption rate-related characteristic information, caffeine consumption ability-related characteristic information, and the like, and additionally, disease risk It may further include data obtained from genomic data, such as values, drug sensitivity values, carrier test result values, wellness and physical characteristics, and the like.

Genetic trait information includes hair loss genetic score, hair thickness genetic score, skin aging genetic score, skin elasticity genetic score, body mass index genetic score, triglyceride genetic score, low-density cholesterol genetic score, high-density cholesterol genetic score, blood sugar-related genetic score, This may include a blood pressure-related genetic score, a vitamin C genetic score, and a caffeine genetic score. The hair loss genetic score and the hair thickness genetic score are hair-related characteristic information. The skin aging genetic score and skin elasticity genetic score are skin-related characteristic information. Body mass index genetic score, triglyceride genetic score, low-density cholesterol genetic score, and high-density cholesterol genetic score are obesity-related trait information, and blood sugar-related genetic score and blood pressure-related genetic score are blood-related trait information. The vitamin C genetic score is vitamin-related trait information, and the caffeine genetic score is caffeine-related trait information.

The hair loss genetic score is a score expressing the possibility of genetically measuring hair loss and comparing the hair loss potential with the average hair loss occurrence value of the organism. The hair thickness genetic score is a score expressed by measuring hair thickness genetically and comparing the hair thickness with the average hair thickness value of the organism.

The skin aging genetic score is a score expressed by measuring the accelerated degree of skin aging due to the increase in the final glycation product and comparing the accelerated skin aging with the average skin aging acceleration value of the organism.

The skin elasticity genetic score is a score expressed by measuring the rate of decrease in skin elasticity by using mutations in genes involved in collagen degradation and comparing the rate of decrease in skin elasticity with the average decrease rate of skin elasticity of the organism.

The body mass index genetic score measures the regulatory function value of the body mass index by using mutations in genes related to appetite suppression, genes involved in regulating feeling of fullness and satiety, and genes involved in adipose tissue formation and BMI regulation, and the regulatory function of body mass index. It is a score expressed by comparing the value with the control function value of the average body mass index of the living organism.

The triglyceride genetic score is a gene involved in maintaining blood sugar by binding to a glucose-degrading enzyme, a gene involved in the development of nerve tissue and nerve cell function, a gene involved in angiogenesis and lipid metabolism in the liver, a gene involved in the lipid metabolism process, This is a score expressed by measuring the triglyceride level by using the mutation in the gene involved in the regulation of lipid metabolism gene expression and the gene involved in the cell delivery pathway, and comparing the triglyceride level with the average triglyceride level of the organism.

Low-density cholesterol genetic score was determined by using mutations in genes involved in the regulation of plant steroids that block cholesterol absorption, genes involved in cholesterol synthesis, genes involved in low-density cholesterol metabolism, and genes involved in cholesterol regulation. It is a score that measures the possibility of abnormality and expresses the possibility of abnormality of low-density cholesterol level by comparing it with the probability of abnormality of the average low-density cholesterol level of the corresponding organism.

The high-density cholesterol genetic score uses the presence or absence of mutations in genes involved in cholesterol regulation in the liver and adipose tissue, genes involved in high-density cholesterol metabolism, genes involved in high-density cholesterol level regulation, and genes involved in lipid transport and metabolism. This is a score expressing the possibility of abnormal high-density cholesterol level by measuring the abnormality of the high-density cholesterol level and comparing the abnormality of the high-density cholesterol level with the abnormality of the average high-density cholesterol level of the organism.

The blood glucose-related genetic score is a gene involved in maintaining blood sugar by binding to a glucose-degrading enzyme, a gene involved in the function and regeneration of beta cells, a gene involved in the conversion of glycogen into glucose and release into the bloodstream, a gene involved in the production of a glucose-degrading enzyme, Measure the blood sugar level using the mutation in the gene involved in intracellular zinc supply, the gene involved in fat metabolism, and the gene involved in the inhibition of insulin secretion by binding to melatonin, and compare the blood sugar value with the average blood sugar value of the organism It is a score expressed by

The blood pressure-related genetic score is a gene involved in natriuretic action, a gene that maintains calcium in the plasma membrane, a gene involved in nucleic acid degradation, a gene involved in the activation of an inducer of vascular myocyte contraction, a gene involved in the regulation of differentiation of smooth muscle cells, The possibility of an increase in blood pressure is measured using mutations in genes involved in steroid hormone synthesis, mineral metabolism, etc., genes involved in GC (guanylate cyclase) synthesis, and genes involved in the removal of unnecessary proteins. It is a score expressed by comparing the possibility of increase in blood pressure with the increase in the average blood pressure of the organism.

The vitamin C genetic score is a score expressed by measuring the vitamin C absorption rate using genes involved in vitamin C absorption and transport and comparing the vitamin C absorption rate with the average vitamin C absorption rate of the organism.

Caffeine genetic score measures caffeine consumption ability by using mutations in genes involved in the action of caffeine metabolizing enzymes and genes involved in caffeine absorption, transport, and transport, and comparing the caffeine consumption ability with the average caffeine consumption ability of the organism. expressed score.

The result output unit 115a may record the dielectric property information of the object and transmit the dielectric property information to an electronic device requesting the dielectric property information.

When the terminal of a store selling coffee, beverages, etc. receives the first user's coffee order, the terminal may acquire the caffeine-related characteristic information of the first user from the genome data utilization apparatuses 100 and 100a. The terminal may apply the caffeine dose in consideration of the caffeine-related characteristic information of the first user to the order information of the first user. For example, if the first user has a low genetic score related to the ability to consume caffeine, the coffee quantity of the first user's order information is set to 1 or as low as 0.5, and the first user of the first user is related to the ability to consume caffeine. If the genetic score is high, the coffee capacity of the order information can be increased to two.

When the terminal of a store that sells high-calorie foods such as desserts, hamburgers, and pizza receives the second user's dessert order, the terminal acquires the obesity-related characteristic information of the second user from the genome data utilization devices 100 and 100a. can With respect to the second user's dessert order, the terminal may control the second user's obesity-related characteristic information and vitamin C-related characteristic information to order dessert in consideration. For example, when the genetic scores of the obesity-related characteristic information of the second user are low, the amount of ingredients such as high-calorie sugar, butter, and chocolate is adjusted to lower the calories of the dessert of the second user's order information, and the second When the genetic scores of the user's obesity-related characteristic information are high, the dessert may be provided despite the order information of the second user.

When the terminal of the store selling alcoholic beverages receives the alcohol order of the third user, the terminal may acquire characteristic information related to the alcohol decomposition ability of the third user from the genome data utilization apparatuses 100 and 100a. The terminal may control the third user to order alcoholic beverages having an alcohol concentration in consideration of characteristic information related to the alcohol ability of the third user. For example, when the genetic scores of the alcohol degradation characteristic information of the third user are low, the alcoholic beverage information of the third user may be changed to alcohol having a low alcohol concentration.

When the terminal of the store selling cosmetics receives the visit of the fourth user, the terminal receives the fourth user's skin-related characteristic information and/or hair-related characteristic information and body mass index-related characteristic from the genome data utilization apparatus 100 and 100a. information can be obtained. The terminal considers the fourth user's skin-related characteristic information and/or hair-related characteristic information and body mass index-related characteristic information from among the products provided in the store, shampoo, hair product, moisture cream, elasticity cream, makeup product, calorie consumption Recommendation information including medicines and the like may be provided.

When the terminal of the store selling food receives the visit of the fifth user, the terminal may acquire the dielectric characteristic information of the fifth user from the genome data utilization apparatuses 100 and 100a. Among the products provided in the store, the terminal includes ingredients that make the hair of the fifth user more healthy, ingredients that slow down skin aging, ingredients that increase skin elasticity, and ingredients that make blood sugar or blood pressure normal. Recommendation information can be provided.

The result output unit 115a may generate recommendation data based on the dielectric characteristic information. The result output unit 115a may generate recommendation data in response to a preset request. The result output unit 115a may generate recommendation data in response to a user input. A type and/or category of recommendation data corresponding to the request or input may be determined. Here, the recommendation data may include data on insurance products, data on cosmetics, data on recommended drugs for diseases, and user-customized drug recommendation data.

The result output unit 115a may generate recommendation data based on medical data related to user characteristic information obtained through genetic data.

For example, the result output unit 115a measures the user's skin characteristic information from the genome data, and based on the hair thickness, hair loss, etc. included in the skin characteristic information, hair that can become a normal thickness determined by the user. You can search for products and provide them. The result output unit 115a may search for and provide a hair product that prevents hair loss from proceeding further in consideration of whether the user has hair loss. The result output unit 115a may predict a user's future risk of disease from the genomic data and generate information on insurance products capable of covering the predicted risk of disease as various processed data. The result output unit 115a may calculate the user's drug sensitivity from the genomic data and generate prescription information in consideration of the calculated drug sensitivity as various processed data. The result output unit 115a may generate data (type, intensity, time, etc.) about an exercise suitable for the user based on the user's carrier test result value from the genome data.

The result output unit 115a may generate information on a health state or a dielectric characteristic based on the dielectric data.

Here, information on health status or specific corresponds to genetically innate information, and may also be related to health status or characteristics at a future point in time, such as 1 year, 5 years, 10 years, 50's, 60's, etc. have. Information about future health conditions or characteristics may include health conditions for specific conditions. Specifically, the future health state may include a health state after 5 years of exercising for 30 minutes or more 3 times a week or a health state after 5 years of not exercising. The future health state may include a health state 5 years after taking the health supplement product, and a health state 5 years after not taking the health supplement product.

In addition, when the user is a child in the growth stage, the result output unit 115a predicts the future highest key value through the user's genome information and recommends information (nutrients, treatment methods, exercise, food, etc.).

As shown in FIG. 10 , in S110 , the genome data utilization apparatuses 100 , 100a , and 100 ′ may acquire target cells in the test kit. In S120, the genome data utilization apparatus 100, 100a, 100' searches for a template for analyzing a target cell. The template may be retrieved as being related to the first characteristic. The template may include one or more templates associated with the first characteristic.

In S130, the genome data utilization apparatuses 100, 100a, and 100' obtain information on the genetic characteristics of the target cell by using the template.

In S140, the genome data utilization apparatus 100, 100a, 100' selects the first genetic information of the target cell corresponding to the first characteristic, and synthesizes the gene and the displacement information of the gene corresponding to the first genetic information to obtain a genetic score. can be measured

In S150, the genome data utilization apparatuses 100, 100a, and 100' may return an expression value for the first characteristic of the corresponding organism by using one or more genes corresponding to the first characteristic and the degree of mutation of the gene.

11 is a diagram for explaining a data flow according to embodiments of the present invention.

In the first embodiment, the genome data utilization apparatus 100, 100', 100a transmits the genetic-related characteristic information generated based on the genome data to the customer's terminal 200, and the customer's terminal 200 is the genetic-related An insurance recommendation signal including characteristic information may be generated and the insurance recommendation signal may be transmitted to the insurance company server device 300 .

In the second embodiment, when the customer's terminal 200 transmits an insurance recommendation signal to the insurance company server device 300 , the insurance company server device 300 generates genetic-related information for the user based on the user information included in the insurance company server device 300 . Characteristic information may be requested from the genome data utilization apparatuses 100, 100', and 100a, and a user-customized insurance product may be generated based on the genetic-related characteristic information. The insurance company server device 300 may transmit information on a customized insurance product and a subscription link to the customer's terminal 200 .

In the third embodiment, the customer's terminal 200 requesting recommendation information suitable for his/her genetic information may request genetic-related characteristic information from the genome data utilization apparatuses 100 , 100a , and 100 ′. The genome data utilization apparatus 100 , 100a , 100 ′ may perform a login process such as an ID and password or a separate biometric authentication process in order to prevent illegal use of genetic-related characteristic information of an individual. The genome data utilization apparatus 100, 100a, 100' retrieves the user's genetic-related characteristic information, generates it as one digital data, and converts the digital data to the insurance company server 300 included in the token included in the user's request signal. can be transmitted

12 , in S210, the genome data utilization device detects the first terminal through the receiver disposed in the store, and acquires first order information through the order terminal disposed in the store.

In S220, the dielectric data utilization apparatus receives the serial number for the first terminal through the receiver, and acquires dielectric property information corresponding to the serial number of the first terminal. The dielectric data utilization device searches for the dielectric property information of the first terminal by using the serial number for the first terminal, and when the dielectric property information of the first terminal is not searched, the user of the first terminal is an order terminal placed in a store. It can transmit a signal requesting the target cell of The dielectric property information may be obtained by obtaining the user's dielectric data by the method of FIG. 13 . Alternatively, the genomic data utilization device acquires the user's target cells (derivatives including living cells) through an order terminal placed in a store, extracts genomic data from the user's target cells, and applies an analysis template to the genomic data. It is possible to obtain the user's dielectric property information.

When the first order information includes information on caffeinated beverages, the apparatus for utilizing genome data may acquire information on the dielectric properties related to caffeine absorption corresponding to the serial number of the first terminal.

When the first order information includes information on hair products, the apparatus for utilizing the genome data may acquire hair-related dielectric characteristic information corresponding to the serial number of the first terminal.

When the first order information includes exercise information such as 12 times of Pilates, 6 times of yoga, and one month of gym, the serial number of the first terminal and corresponding body mass genetic score, low-density cholesterol genetic score, high-density cholesterol genetic score, etc. can be obtained

The dielectric data utilization apparatus may vary the type of dielectric property information corresponding to the serial number of the first terminal acquired in consideration of the type of information included in the first order information. Here, the store may be at least one of a food sales business, a clothing sales business, a cosmetics sales business, a health food sales business, an exercise center, and a beverage sales business existing offline.

In S230, the dielectric data utilization device determines a supplementary item in the first order information based on the dielectric property information.

In S240 , the genome data utilization device may generate second order information with corrections made.

In S250, the genome data utilization device may transmit the second order information to the order terminal.

As shown in FIG. 13 , in S310 , the input device of the genome data utilization device inputs the genome analysis input of the first user.

In S320, the genomic data utilization apparatus provides a test kit for acquiring the biological cells of the first user in response to the genomic analysis input.

In S330, the genomic data utilization device acquires the living cells included in the test kit.

In S340, the apparatus for utilizing genome data may acquire the genome data of the first user by applying the analysis template to the living cells.

The genomic data utilization device is a genetic data for hair loss genetic score, hair thickness genetic score, skin aging genetic score, skin elasticity genetic score, body mass index genetic score, triglyceride genetic score, low-density cholesterol genetic score, high-density cholesterol genetic score, blood sugar-related inheritance It can be converted into one of scores, blood pressure-related genetic score, vitamin C genetic score, and caffeine genetic score.

In S350, the genome data utilization device transmits the genome data of the first user to the service providing server determined by the user input.

In S360, the apparatus for utilizing genome data may output (display) recommendation data related to the service providing server, and transmit the recommendation data to the terminal of the first user.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and carry out program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (8)

inputting, by an input device of the genome data utilization device, a genome analysis input of a first user;
providing, by the apparatus for utilizing the genome data, a test kit for obtaining the biological cells of a first user in response to a genome analysis input;
obtaining, by the genome data utilization device, a test kit combined with the living cells of the first user through the input device;
acquiring, by the genome data utilization device, the genome data of a first user by applying an analysis template to the test kit;
The genetic data utilization device is the genetic data of the first user in the genetic data of hair loss genetic score, hair thickness genetic score, skin aging genetic score, skin elasticity genetic score, body mass index genetic score, triglyceride genetic score, low-density cholesterol genetic score, high-density cholesterol Calculating one of a genetic score, a blood sugar-related genetic score, a blood pressure-related genetic score, a vitamin C genetic score, and a caffeine genetic score. According to claim 1,
transmitting, by the genome data utilization apparatus, the genome data of the first user to a service providing server determined by an additional user input; and
The method further comprising: outputting, by the genome data utilization apparatus, recommendation data related to the service providing server and transmitting the recommendation data to the terminal of the first user; 3. The method of claim 2,
The step of acquiring the genome data of the first user is
Encrypting the genome data with a first encryption key,
Transmitting the genome data encrypted with the first encryption key to the terminal of the first user,
The first encryption key is encrypted with an encryption key related to the first user and transmitted to the terminal of the first user, the genome data utilization method. According to claim 1,
The test kit is
It is implemented in a form that combines with the user's oral cells,
Including a band that changes color in response to the oral cells, genomic data utilization method. According to claim 1,
The test kit is
It is implemented in the form of combining with the user's needle,
A method of utilizing genome data, comprising a band that changes color in response to the saliva. According to claim 1,
The test kit is
It is implemented in a form that binds to the user's blood,
Including a band that changes color in response to the blood, genomic data utilization method. According to claim 1,
The test kit is
It is implemented in a form that combines with the user's sweat,
Including a band that changes color in response to the sweat, genomic data utilization method. A computer program stored in a computer-readable storage medium for executing the method of any one of claims 1 to 7 using a computer.

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