KR101449418B1 - A method of providing Nutrigenomic information for obesity and a device using the same - Google Patents

Abstract

The present invention relates to an input unit for independently collecting and inputting genetic information from genetic information based on experimental DEG (Database of Essential Gene), genetic information based on MOA (Mode of Action) analysis, and literature based genetic information on obesity; An operation unit for selecting common genetic information of experimental DEG-based genetic information, MOA analysis-based genetic information, and document-based genetic information; A first group of the selected genetic information on common genetic information of experimental DEG-based genetic information, MOA analysis based genetic information and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis based genetic information and document based genetic information, and a fourth group of common genetic information of experimental DEG based genetic information and document based genetic information; And an apparatus for constructing obesity-related nourishing genetic information by comparing gene expression levels and protein expression levels before and after nutrient intake with respect to the stored genetic information. Through this, it is possible to provide information on the nutritional genome as well as to study the use of the gene more efficiently by proactively providing the related gene for the desired disease.

Description

[0001] The present invention relates to a method for providing nutritional information on obesity and a device using the same,

The present invention relates to a method for providing nutritional information on obesity and an apparatus using the same.

       The omix level information database is an integrated analysis system that supports analysis of omix data and analysis of gene function and action mechanism. In general, the omix level information database is a database containing information on gene information, transcriptional regulator information, protein function and structure information, signal transduction, metabolism and protein interaction network, disease, CNV, SNP and the like. It can add the necessary data according to the user's demand and it is updated periodically with the latest information to support the best research environment.

       A method for operating a computer system and a corresponding computer system for performing a basic structure analysis in the past, and a method for searching a database by molecular structure information and biological and / or chemical characteristics (See Korean Patent Publication No. 10-2003-0059196)

However, there is no known method of providing and databaseing nutritional genomics information for the desired disease, including obesity. Thus, obesity-related gene information and protein information were collected, an omix level information database was constructed, and the present invention was devised through an analysis method using a mode-of-action technique.

The present invention relates to a method for screening genetic information for a target disease by selecting genetic information based on experimental DEG (Database of Essential Gene) -based genetic information, MOA (Mode of Action) -based genetic information, and literature- Or a method for constructing a database of genetic information for a desired disease.

The present invention also provides a method of independently storing genetic information from experimental DEG-based genetic information, MOA-based genetic information, and literature-based genetic information on obesity, and genetically expressing the genetic information before and after nutrient intake Level and protein expression level of the obesity-related nutrition genetic information, and to provide an apparatus using the same.

In one embodiment, the term "obesity" of the present invention is generally associated with an excess of fat tissue in the body, such as, but not limited to, Obesity is considered to be obesity if the body mass index (body mass index, body weight index divided by the square of height) is 25 or more (Western people are over 30, ). Biochemically, the fatty acids and glucose that enter the adipocytes from the plasma are esterified and accumulate mainly in the form of triglycerides. Overdose of the nutrients over a long period of time causes obesity by energy imbalance. Obesity increases the likelihood of diabetes and hyperlipidemia, and increases the risk of sexual dysfunction, arthritis and cardiovascular disease. Cholelithiasis can occur and, in some cases, is associated with cancer.

In one embodiment, the "omix level information database" of the present invention is a system for integrating and analyzing omix data analysis tools and analysis information on gene functions and action mechanisms, including, but not limited to, genetic information, Information, protein function and structure information, signal transduction, metabolism and protein interaction network, disease, CNV, SNP, and the like. It can add the necessary data according to the user's demand and it is updated periodically with the latest information to support the best research environment.

In one embodiment, "literature-based genetic information on obesity" is published information, including human obesity gene information (374 modified by 374 duplicate sequences) and OMIM DB (Online) provided by the obesity gene map database Mendelian Inheritance in Man Database) to collect 465 genes related to obesity. Obesity genes that were collected primarily by obesity gene information were geneMap (human: 107 / mouse: 179) + Mob (mouse: 31) + OMIM (human: 465) + OGMDB The number of deleted duplicate sequences is 973 (human: 763 / mouse: 210). A protein database using alternative spicing (AS) information is selected for the collection of isoform information using obesity gene information. ECGene (Genome Annotation for Alternative Splicing) /genome.ewha.ac.kr/ECgene/) and compared to ECgene data (some older data collected in 2008, about 200,000), BioMart (http://asia.ensembl.org/biomart/martview ) There are more alternate sprints of information (human 2,598,730 + mouse 925,735). Obesity related gene information classification can classify genetic information according to characteristic type. Non-protein coding genes without genetic information or AS information can be classified and classified into phenotype (53) + non-phenotype (920) have. Analysis of AS-related information and identification of obesity genes and connection information were performed by mapping 795 sequences of Ensembl gene ID-gene IDs in BioMart. The constructed AS information was composed of 5298 (transcript_ID). At this time, the classification of the obesity related gene information was classified into phenotypes, non-protein coatings, pseudogins, and RNA_clusters, and classified into 54 categories. The database and data collection used to construct SNP and CNV information on the basis of the genome collect NCBI gene related SNP information for human and mouse, classify this SNP information as rs_ID, and CNV information includes genetic mutation DB of genomic variants (http://projects.tcag.ca/variation/), and then mapping them to obesity genes. CNV information is processed to indicate the location information in the genome after linking with obesity gene information.

In one embodiment, the present invention provides an omix level information database by collecting obesity-related gene information and protein information in order to construct a nutritional genomics information database and constructing a microarray data analysis method by Mode-of-Action technique And a system for constructing a system capable of analyzing an omix level of an analysis result of an obesity-related microarray. The apparatus may be any type of storage medium such as a floppy disk, a hard disk, a magnetic recording medium such as a magnetic tape, a CD-ROM, a CD-R , Optical recording media such as CD, RW, DVD-ROM, DVD-RAM and DVD-RW, electric recording media such as RAM and ROM and mixtures of these categories (for example, magnetic / optical recording media such as MO) . The selection of the device for recording or inputting the above-mentioned device or the device or the device for reading information in the recording medium is based on the type of the recording medium and the access method. In addition, various data processor programs, software, comparators, and formats are used to record the program for performing the method of the present invention on the medium. The information may be represented in the form of a binary file, a text file, or an ASCII file formatted by a commercially available software, though it is not limited thereto.

In one embodiment, the invention provides a method comprising: establishing a desired disease; Independently collecting genetic information from genetic information based on experimental DEG (Database of Essential Gene), MOA (Mode of Action) -based genetic information and literature-based genetic information for a set target disease; Selecting genetic information common to experimental DEG based genetic information, MOA analysis based genetic information and literature based genetic information; And outputting the selected genetic information. The present invention also provides a method for providing genetic information on a desired disease. In this embodiment, the set objective disease provides a method of providing genetic information for an obesity-targeted disease, wherein the selected genetic information is selected from the group consisting of experimental DEG-based genetic information, MOA-based genetic information, A first group of genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group on common genetic information based on MOA analysis-based genetic information and literature-based genetic information; and genetic information on the desired disease classified into the fourth group on experimental GEN-based genetic information and common genetic information based on literature-based genetic information Wherein the selected genetic information comprises at least one of genetic information for a desired disease of Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2 to provide.

In one embodiment, the invention provides a method comprising: establishing a desired disease; Independently collecting genetic information from experimental DEG-based genetic information, MOA-based genetic information, and literature-based genetic information for a set target disease; Selecting genetic information common to experimental DEG based genetic information, MOA analysis based genetic information and literature based genetic information; The present invention provides a method for providing genetic information on a nutrient by comparing the gene expression level and the protein expression level of the selected genetic information before nutrient intake and after nutrient intake. In this embodiment, the set disease of interest provides a method of providing genetic information about obese nutrients, and the selected genetic information includes genetic information based on experimental DEG, genetic information based on MOA analysis, and common genetic information Lt; / RTI > A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group on common genetic information based on MOA analysis-based genetic information and literature-based genetic information; and genetic information on nutrients divided into experimental group 4 on genetic information based on DEG-based genetic information and literature-based genetic information Provide a method to provide.

In one embodiment, the invention provides a method comprising: independently collecting genetic information from an experimental DEG (Database of Essential Gene) based genetic information, MOA (Mode of Action) based genetic information and literature based genetic information on obesity; A first group on the common genetic information of experimental DEG-based genetic information, MOA-based genetic information and literature based genetic information by screening common genetic information of experimental DEG-based genetic information, MOA analysis based genetic information, and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis-based genetic information and document-based genetic information, and a fourth group of common genetic information of experimental DEG-based genetic information and document-based genetic information; And a method for constructing obesity-related nourishing genetic information by comparing gene expression levels and protein expression levels before and after nutrient intake with respect to the stored genetic information. In this embodiment, the stored genetic information provides a method for constructing obesity-related nutritional genetic information, Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2.

In one embodiment, the present invention provides an input unit for independently collecting and inputting genetic information from genetic information based on experimental DEG (Database of Essential Gene), genetic information based on MOA (Mode of Action) analysis, and literature based genetic information on obesity; An operation unit for selecting common genetic information of experimental DEG-based genetic information, MOA analysis-based genetic information, and document-based genetic information; A first group of the selected genetic information on common genetic information of experimental DEG-based genetic information, MOA analysis based genetic information and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis based genetic information and document based genetic information, and a fourth group of common genetic information of experimental DEG based genetic information and document based genetic information; And an apparatus for constructing obesity-related nourishing genetic information by comparing gene expression levels and protein expression levels before and after nutrient intake with respect to the stored genetic information. In this embodiment, the stored genetic information provides an apparatus for constructing obesity-related nutritional genetic information, Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2.

By providing the relevant genes for the desired disease proactively, not only can we study the use of genes more efficiently, but also provide information about the nutritional genome.

FIG. 1 is a block diagram illustrating a method of analyzing obesity-related microarray data by analyzing obesity-related gene information and protein information, constructing an omix level information database, and constructing a microarray data analysis method using a mode-of- This is a possible system building method.

Hereinafter, the present invention will be described in detail with reference to the following examples. However, the following examples are illustrative of the present invention, and the contents of the present invention are not limited by the following examples.

Example  1. Selection of obesity-related genes

For the MOA analysis method, values are set for the following arguments.

argument item Contents iteration Number of repetitions of MOA core algorithm thP The threshold of the perturbed gene Q Number of reduced dimensions MODZ Set to 1 to use the converted Z score value for ranking NROUNDS Number of tournament rounds KEEPFRAC tournament Number of genes to keep in each round rank.num The number of rankings to pull out as a Rank

In addition, the experimental major DEG genetic information was obtained from any obesity-related experimental data (GSE21903) published in the GEO database.

In addition, literature-based genetic information was obtained by selecting data mining techniques for obesity-related research data that are available on the Web.

The results are summarized in Table 2 below:

Item Experiment
Major DEG MOA analysis result
Top list Collected based on literature
obesity-related gene group Number of genes 85 86 210

Wherein the selected genetic information comprises a first group of common genetic information of experimental DEG-based genetic information, MOA-based genetic information, and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis-based genetic information and literature-based genetic information, and a fourth group of common genetic information of experimental DEG-based genetic information and document based genetic information. Table 3 shows:

group One 2 3 4 gene Mogat1 Apom, Asns, Cox8b, Cyp2a4
fbln2, fgfr1, Gprc5b, Mogat1 Lpin1, Mogat1, Pparg, Sult1c2 Mogat1, Sdcbp2

The function, process and composition of the genetic information of each group are as follows:

 The first group

Mogat1 function 2-acylglycerol O-acyltransferase activity
diacylglycerol O-acyltransferase activity
Transferase Activity
transferase activity, transferring acyl groups
transferase activity, transferring acyl groups other than amino-acyl groups fair 디아이클리체cohol
기 glycerol metabolic process
가시 메그릭스 공정 Chinese New Year endoplasmic reticulum
integral to membrane
membrane

The second group

Apom function Antioxidant Activity
궤도 전기기 활성
포소포드 비 링 fair cholesterol efflux
고도 밀도 lipoprotein particle assembly
고도 다치 lipoprotein particle clearance
high-density lipoprotein particle remodeling
lipid transport
리피oprotein metabolic process
negative regulation of plasma lipoprotein particle oxidation
reverse cholesterol transport
transport Chinese New Year discoidal high-density lipoprotein particle
궤도 영역
광사
고도 밀도 lipoprotein particle
low-density lipoprotein particle
구형 고분
고도 - Low-density lipoprotein particle

Asns function ATP binding
asparagine synthase (glutamine-hydrolyzing) activity
cofactor binding
ligase activity
nucleotide binding
protein homodimerization activity fair asparagine biosynthetic process
cellular amino acid biosynthetic process
cellular response to glucose starvation
과산산산성 공정
metabolic process
A negative regulation of apoptotic process
positive regulation of mitotic cell cycle

Cox8b function cytochrome-c oxidase activity fair 산화물 Chinese New Year integral to membrane
membrane
mitochondrial inner membrane
mitochondrion

fbln2 function calcium ion binding
광사
protein binding fair positive regulation of cell-substrate adhesion Chinese New Year xtracellular region
proteinaceous extracellular matrix

fgfr1 function ATP binding
셀 adhesion molec
fibroblast growth factor binding
fibroblast growth factor-activated receptor activity
glycoprotein binding
heparin binding
identical protein binding
kinase activity
nucleotide binding
protein binding
protein complex binding
protein homodimerization activity
protein kinase activity
protein tyrosine kinase activity
Transferase Activity
transferase activity, transferring phosphorus-containing groups
transmembrane receptor protein tyrosine kinase activity fair angiogenesis
auditory receptor cell development
혈기 혈 Morphogenesis
진공 개발
branching involved in salivary gland morphogenesis
셀 마화화
central nervous system neuron development
chondrocyte differentiation
embryonic limb morphogenesis
fibroblast growth factor receptor signaling pathway
fibroblast growth factor receptor signaling pathway involved in orbitofrontal cortex development
generation of neurons
in utero embryonic development
inner ear morphogenesis
경 개발
경 개발
노인교
mesenchymal cell differentiation
미드 브래
middle ear morphogenesis
motogenic signaling involved in postnatal olfactory bulb interneuron migration
A negative regulation of apoptotic process Chinese New Year cytoplasm
cytoplasmic vesicle
integral to membrane
membrane
nucleus
플라즈마 막

Cyp2a4 function aromatase activity
전자 캐리어 Activities
heme binding
이 이온 부합
금속 이온 결합
monooxygenase activity
oxidoreductase activity
oxidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen
oxidoreductase activity, acting on paired donors, incorporation or reduction of molecular oxygen, reduced flavin or flavoprotein as one donor, and incorporation of one atom of oxygen fair 산화물 Chinese New Year endoplasmic reticulum
intracellular membrane-bounded organelle
membrane

Gprc5b function G-protein coupled receptor activity
Molecular_Function
신호 변환기 활성 fair G-protein coupled receptor signaling pathway
biological_process
신호 변환기 Chinese New Year Golgi apparatus
integral to membrane
intracellular membrane-bounded organelle
membrane
nucleolus
nucleus
플라즈마 막

Group 3

Lpin1 function RNA polymerase II transcription factor binding
histone deacetylase binding
hydrolase activity
과사
포파트티이트 포화체 activity
protein binding
전인기 코activator activity fair actin cytoskeleton reorganization
cellular response to insulin stimulus
dephosphorylation
fat cell differentiation
fatty acid catabolic process
가시 메그릭스 공정
mitochondrial fission
negative regulation of transcription from RNA polymerase II promoter
positive regulation of histone deacetylation
regulation of fat cell differentiation
regulation of transcription, DNA-dependent
ruffle organization
transcription, DNA-dependent
트리 라이ceride mobilization Chinese New Year cytoplasm
endoplasmic reticulum
membrane
mitochondrial outer membrane
mitochondrion
nuclear membrane
nucleus
트랜스cription factor complex

Sult1c2 function sulfotransferase activity
Transferase Activity fair sulfation Chinese New Year lysosome
microtubule cytoskeleton

Pparg function RNA polymerase II regulatory region DNA binding
activating transcription factor binding
arachidonic acid binding
chromatin binding
약속
enzyme binding
ligand-activated sequence-specific DNA binding RNA polymerase II transcription factor activity
금속 이온 결합
protein binding
retinoid X receptor binding
sequence-specific DNA binding
sequence-specific DNA binding transcription factor activity
세르르르드 론론 receptor activity
transcription regulatory region DNA binding
zinc ion 링 fair activation of cysteine-type endopeptidase activity involved in apoptotic process
brown fat cell differentiation
cell fate commitment
셀 마화화
cellular response to insulin stimulus
cellular response to lithium ion
cellular response to organic cyclic compound
epithelial cell differentiation
fat cell differentiation
fatty acid oxidation
glucose homeostasis
induction of apoptosis
inflamatory response
intracellular receptor mediated signaling pathway
lipoprotein transport
long-chain fatty acid transport
low-density lipoprotein particle receptor biosynthetic process
단교기
a negative regulation of acute inflammatory response
negative regulation of cell growth
negative regulation of cell proliferation
negative regulation of cholesterol storage
negative regulation of cytokine production Chinese New Year cytoplasm
cytosol
nucleus

Group 4

Sdcbp2 function protein C-terminus binding
protein heterodimerization activity
protein homodimerization activity fair biological_process Chinese New Year cytoplasm

Also, the upper ranked gene list of MOA analysis result and its function are as follows.

ranking entrezID designation Gene content One 237422 Ric8b resistance to inhibitors of cholinesterase 8 homolog B (C. elegans) 2 70082 Lysmd2 LysM, putative peptidoglycan-binding, domain containing 2 3 27053 Asns asparagine synthetase 4 77805 Esco1 establishment of cohesion 1 homolog 1 (S. cerevisiae) 5 64297 Gprc5b G protein-coupled receptor, family C, group 5, member B 6 69029 1500032L24Rik RIKEN cDNA 1500032L24 gene 7 228071 Sestd1 SEC14 and spectrin domains 1 8 11810 Apobec1 apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 9 105887 Ugt3a1 UDP glycosyltransferases 3 family, polypeptide A1 10 15382 Hnrnpa1 heterogeneous nuclear ribonucleoprotein A1 11 218103 Slc17a2 solute carrier family 17 (sodium phosphate), member 2 12 72727 B3gat3 beta-1,3-glucuronyltransferase 3 (glucuronosyltransferase I) 13 228071 Sestd1 SEC14 and spectrin domains 1 14 13034 Ctse cathepsin E 15 70005 Znf41-ps ZNF41, pseudogene 16 328425 Dleu2 deleted in lymphocytic leukemia, 2 17 170737 Znrf1 zinc and ring finger 1 18 215708 Fam73a family with sequence similarity 73, member A 19 56546 Sec1 secretory blood group 1 20 74420 4933406P04Rik RIKEN cDNA 4933406P04 gene 21 230103 Npr2 natriuretic peptide receptor 2 22 68393 Mogat1 monoacylglycerol O-acyltransferase 1 23 79233 Zfp319 zinc finger protein 319 24 55938 Apom apolipoprotein M 25 14115 Fbln2 fibulin 2 26 56727 Miox 미오오 inositol oxygenase 27 215632 Psd4 pleckstrin and Sec7 domain containing 4 28 16785 Rpsa ribosomal protein SA 29 229715 Amigo1 adhesion molecule with Ig like domain 1 30 12869 Cox8b cytochrome c oxidase, subunit VIIIb 31 73660 Cabp4 calcium binding protein 4 32 69165 Cd209b CD209b antigen

rank entrezID symbol gene description 33 381605 Tbc1d2 TBC1 domain family, member 2 34 73608 Marveld3 MARVEL (membrane-associating) domain containing 3 35 70083 Metrn meteorin, glial cell differentiation regulator 36 12561 Cdh4 cadherin 4 37 58521 Eid1 EP300 interacting inhibitor of differentiation 1 38 56323 Dnajb5 DnaJ (Hsp40) homolog, subfamily B, member 5 39 58242 Nudt11 nudix (nucleoside diphosphate linked moiety X) -type motif 11 40 16917 Lmx1b LIM homeobox transcription factor 1 beta 41 57776 Ttyh1 tweety homolog 1 (Drosophila) 42 66264 Ccdc28b coiled coil domain containing 28B 43 230101 Gba2 glucosidase beta 2 44 101351 Eogt EGF domain-specific O-linked N-acetylglucosamine (GlcNAc) transferase 45 76917 Flywch2 FLYWCH family member 2 46 112422 2610305D13Rik RIKEN cDNA 2610305D13 gene 47 235048 Zfp599 zinc finger protein 599 48 270624 Spin4 spindlin family, member 4 49 70190 2610036A22Rik RIKEN cDNA 2610036A22 gene 50 20832 Ssr4 signal sequence receptor, delta 51 12263 C2 complement component 2 (within H-2S) 52 73750 Whrn whirlin 53 17857 Mx1 myxovirus (influenza virus) resistance 1 54 269261 Rpl12 ribosomal protein L12 55 276829 Smtnl2 smoothelin-like 2 56 27050 Rps3 ribosomal protein S3 57 20725 Serpinb8 serine (or cysteine) peptidase inhibitor, clade B, member 8 58 73353 Actrt2 actin-related protein T2 59 71591 Zfp251 zinc finger protein 251 60 77574 Fam115a family with sequence similarity 115, member A 61 103963 Rpn1 ribophorin I 62 14594 Ggta1 glycoprotein galactosyltransferase alpha 1, 3 63 19221 Ptgfrn prostaglandin F2 receptor negative regulator 64 75770 Brsk2 BR serine / threonine kinase 2

rank entrezID symbol gene description 65 22287 Scgb1a1 secretoglobin, family 1A, member 1 (uteroglobin) 66 625603 Gm6607 40S ribosomal protein S20 pseudogene 67 70005 Znf41-ps ZNF41, pseudogene 68 328425 Dleu2 deleted in lymphocytic leukemia, 2 69 170930 Sumo2 SMT3 suppressor of mif two 3 homolog 2 (yeast) 70 56224 Tspan5 tetraspanin 5 71 68393 Mogat1 monoacylglycerol O-acyltransferase 1 72 229715 Amigo1 adhesion molecule with Ig like domain 1 73 228765 Sdcbp2 syndecan binding protein (syntenin) 2 74 218232 Ptpdc1 protein tyrosine phosphatase domain containing 1 75 228545 Vps18 vacuolar protein sorting 18 (yeast) 76 68393 Mogat1 monoacylglycerol O-acyltransferase 1 77 14182 Fgfr1 fibroblast growth factor receptor 1 78 70546 Zdhhc2 zinc finger, DHHC domain containing 2 79 20832 Ssr4 signal sequence receptor, delta 80 76486 Ly6k lymphocyte antigen 6 complex, locus K 81 21814 Tgfbr3 transforming growth factor, beta receptor III 82 195531 Gm13152 predicted gene 13152 83 18762 Prkcz protein kinase C, zeta 84 19821 Rnf2 ring finger protein 2 85 11837 Rplp0 ribosomal protein, large, P0 86 64296 Abhd8 abhydrolase domain containing 8 87 13086 Cyp2a4 cytochrome P450, family 2, subfamily a, polypeptide 4

Claims (11)

Collecting genetic information independently from experimental DEG (Database of Essential Gene) based genetic information, MOA (Mode of Action) based genetic information and literature based genetic information on obesity;
Selecting genetic information common to experimental DEG based genetic information, MOA analysis based genetic information and literature based genetic information; And
And outputting the selected genetic information, wherein the selected genetic information comprises a first group of common genetic information of experimental DEG-based genetic information, MOA-based genetic information, and document-based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; Group 3 on common genetic information of MOA-based genetic information and literature-based genetic information; And genetic information on obesity, wherein said genetic information is divided into a fourth group of genetic information based on DEG-based genetic testing and document-based genetic information. delete delete The method according to claim 1,
Wherein the selected genetic information provides genetic information for obesity that is Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2. Collecting genetic information independently from experimental DEG based genetic information, MOA analysis based genetic information and literature based genetic information on obesity;
Selecting genetic information common to experimental DEG based genetic information, MOA analysis based genetic information and literature based genetic information;
Comparing the gene expression level and protein expression level of the selected genetic information prior to and after the nutrient intake, wherein the selected genetic information includes at least one of experimental DEG-based genetic information, MOA-based genetic information, A first group of common genetic information of document-based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group on common genetic information of MOA-based genetic information and literature-based genetic information; and a fourth group on experimental genetic information based on DEG and common genetic information on literature-based genetic information / RTI > delete delete Collecting genetic information independently from experimental DEG (Database of Essential Gene) based genetic information, MOA (Mode of Action) based genetic information and literature based genetic information on obesity;
A first group on the common genetic information of experimental DEG-based genetic information, MOA-based genetic information and literature based genetic information by screening common genetic information of experimental DEG-based genetic information, MOA analysis based genetic information, and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis-based genetic information and document-based genetic information, and a fourth group of common genetic information of experimental DEG-based genetic information and document-based genetic information; And
Comparing the gene expression level and protein expression level with the stored genetic information prior to and after the nutrient ingestion. 9. The method of claim 8,
Wherein the stored genetic information is Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2. An input unit for collecting and inputting genetic information independently from genetic information based on experimental DEG (Database of Essential Gene), MOA (Mode of Action) -based genetic information and literature based genetic information;
An operation unit for selecting common genetic information of experimental DEG-based genetic information, MOA analysis-based genetic information, and document-based genetic information;
A first group of the selected genetic information on common genetic information of experimental DEG-based genetic information, MOA analysis based genetic information and literature based genetic information; A second group on common genetic information of experimental DEG-based genetic information and MOA-based genetic information; A third group of common genetic information of MOA analysis based genetic information and document based genetic information, and a fourth group of common genetic information of experimental DEG based genetic information and document based genetic information; And
And an output unit for comparing the gene expression level and the protein expression level of the stored genetic information before and after the nutrient intake and after the nutrient intake, and outputting the output. 11. The method of claim 10,
Wherein the stored genetic information is Mogat1, Apom, Asns, Cox8b, Cyp2a4, fbln2, fgfr1, Gprc5b, Lpin1, Pparg, Sult1c2 and Sdcbp2.

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