Methods for analyzing muscle characteristics

Abstract

To provide a method for determining human skin characteristics on the basis of genetic elements by SNP analysis, a computer for determining skin characteristics, and a program for controlling the computer.SOLUTION: A method for determining skin characteristics includes the step for detecting at least one SNP selected from the group consisting of specific SNPs and the step for determining skin characteristics based on the detected SNP.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to a method for determining human skin characteristics based on genetic factors by SNP analysis, a computer for determining skin characteristics, and a program for controlling the computer. Based on the determined skin characteristics, it becomes possible to provide beauty guidance services and select cosmetics and supplements.

Background Art

[0002] Skin characteristics vary widely among individuals. Conventionally, individual counseling has been mainly conducted to provide cosmetics suitable for each individual's skin characteristics. The counseling has been based on the results of questionnaires by customers' self-diagnosis and objective information about the skin, such as information on texture, skin barrier function, moisture content, elasticity, viscosity, etc. measured by equipment.

[0003] However, customers' self-diagnosis is only a subjective judgment and does not accurately reflect the skin characteristics of customers. In addition, the objective information measured by equipment only quantifies the state at the time of inspection for the skin condition that can change daily, and it has been difficult to predict possible future skin troubles.

[0004] If it is possible to predict possible future skin troubles in advance, preventive measures can be taken, which is very useful.

[0005] In recent years, skin testing based on SNP analysis of genes has been proposed, and the relationship between SNPs and skin quality has been studied in particular for genes encoding proteins directly involved in skin quality (Patent Documents 1-4). As a result, methods for predicting skin characteristics and skin problems based on SNP analysis results have been provided. These studies have investigated SNPs in genes that have been shown to be directly involved in skin quality, such as wrinkles and age spots. Examples of such targeted genes include MC1R, MMP1, SOD2, GPX1, and ASIP. On the other hand, since a wide range of genes affect skin characteristics, it is necessary to investigate the relationship between SNPs and skin characteristics in a larger number of genes. [Prior art documents] [Patent Documents]

[0006] [Patent Document 1] Japanese Patent Publication No. 2006-191858 [Patent Document 2] Japanese Patent Publication No. 2015-73503 [Patent Document 3] Japanese Patent Publication No. 2013-226096 [Patent Document 4] Japanese Patent Publication No. 2011-234664 [Patent Document 5] Japanese Patent Publication No. 2014-193155 [Patent Document 6] Japanese Patent Publication No. 2014-45729 [Non-patent literature]

[0007] [Non-Patent Document 1] Comprehensive analysis of genetic polymorphisms (SNPs), Japanese Journal of Pharmacology (2005), pp. 125, 148-152. [Overview of the Initiative] [Problems that the invention aims to solve]

[0008] The aim is to investigate the relationship between previously unknown SNPs and skin characteristics, and to develop a method for determining skin characteristics with greater reliability. [Means for solving the problem]

[0009] The inventors conducted a statistical analysis of the association between skin characteristics and SNPs in a wider range of proteins, not just those proteins previously known to be associated with skin characteristics, in 200 subjects. As a result, they identified SNPs related to skin characteristics, particularly wrinkles, skin color, and skin function, leading to the present invention.

[0010] Therefore, the present invention is as follows: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs 12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246 416, rs2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, r s8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs 2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, r s2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs A step of detecting at least one SNP selected from the group consisting of 1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, A process for determining skin characteristics based on detected SNPs. This concerns methods for determining skin characteristics, including [specific details omitted].

[0011] In yet another aspect, the present invention relates to a computer for determining skin characteristics, below: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs129 31267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2 285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs83 3061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs378 5079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs22826 79, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693, rs A storage unit that stores information about at least one SNP selected from the group consisting of 3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information about skin characteristics associated with said SNP. An input section for entering the user's DNA information. A detection unit that detects the presence of stored SNPs in the input DNA information. Output unit that outputs information on skin characteristics related to detected SNPs. The present invention relates to computers, including, in a further aspect of the present invention, to a method and / or a control program for controlling such a computer, and further to a storage medium for storing such a control program.

[0012] Furthermore, the present invention also relates to a method for determining skin characteristics, and a method for providing cosmetics, supplements, and / or beauty methods based on the skin characteristics determined by a computer that determines the skin characteristics.

Effects of the Invention

[0013] According to the present invention, it becomes possible to determine skin characteristics, and it becomes possible to provide cosmetics, supplements, and / or beauty methods based on the determined skin characteristics.

Brief Description of the Drawings

[0014] [Figure 1] FIG. 1 is a diagram showing the flow of processing by a program that controls a computer for determining skin characteristics. [Figure 2] FIG. 2 is a configuration diagram of a computer for determining skin characteristics. [Figure 3] FIG. 3(A) is a diagram showing the relationship between the SNP score calculated from SNPs related to spots as skin characteristics and the spots. FIG. 3(B) is a diagram showing the SNP score calculated from SNPs related to spots as skin characteristics and its frequency of occurrence. [Figure 4] FIG. 4(A) is a diagram showing the relationship between the SNP score calculated from SNPs related to the average spot area as skin characteristics and the average spot area. FIG. 4(B) is a diagram showing the SNP score calculated from SNPs related to the average spot area as skin characteristics and its frequency of occurrence. [Figure 5] FIG. 5(A) is a diagram showing the relationship between the SNP score calculated from SNPs related to cheek melanin as skin characteristics and the cheek melanin. FIG. 5(B) is a diagram showing the SNP score calculated from SNPs related to cheek melanin as skin characteristics and its frequency of occurrence. [Figure 6] FIG. 6(A) is a diagram showing the relationship between the SNP score calculated from SNPs related to inner upper arm melanin as skin characteristics and the inner upper arm melanin. FIG. 6(B) is a diagram showing the SNP score calculated from SNPs related to inner upper arm melanin as skin characteristics and its frequency of occurrence. [Figure 7]Figure 7(A) shows the relationship between SNP scores calculated from SNPs associated with cheek brightness as a skin characteristic, and cheek brightness. Figure 7(B) shows the SNP scores calculated from SNPs associated with cheek brightness as a skin characteristic, and their frequency of occurrence. [Figure 8] Figure 8(A) shows the relationship between SNP scores calculated from SNPs associated with cheek yellowness as a skin characteristic and the actual cheek yellowness. Figure 8(B) shows the SNP scores calculated from SNPs associated with cheek yellowness as a skin characteristic and their frequency of occurrence. [Figure 9] Figure 9(A) shows the relationship between SNP scores calculated from SNPs associated with wrinkles as a skin characteristic and wrinkles. Figure 9(B) shows the relationship between SNP scores calculated from SNPs associated with wrinkles as a skin characteristic and their frequency of occurrence. [Figure 10] Figure 10(A) shows the relationship between SNP scores calculated from SNPs associated with skin texture as a skin characteristic and skin texture. Figure 10(B) shows the relationship between SNP scores calculated from SNPs associated with skin texture as a skin characteristic and their frequency of occurrence. [Figure 11] Figure 11(A) shows the relationship between SNP scores calculated from SNPs associated with skin firmness as a skin characteristic and skin firmness. Figure 11(B) shows the relationship between SNP scores calculated from SNPs associated with skin firmness as a skin characteristic and their frequency of occurrence. [Figure 12] Figure 12(A) shows the relationship between SNP scores calculated from SNPs associated with sebum-forehead as a skin characteristic and sebum-forehead. Figure 12(B) shows the relationship between SNP scores calculated from SNPs associated with sebum-forehead as a skin characteristic and their frequency of occurrence. [Figure 13] Figure 13(A) shows the relationship between moisture content and cheeks and the SNP scores calculated from SNPs associated with moisture content as a skin characteristic. Figure 13(B) shows the relationship between moisture content and cheeks and the SNP scores calculated from SNPs associated with moisture content as a skin characteristic. [Figure 14]Figure 14(A) shows the relationship between SNP scores calculated from SNPs associated with moisture content-arm as a skin characteristic, and moisture content-arm. Figure 14(B) shows the relationship between SNP scores calculated from SNPs associated with moisture content-arm as a skin characteristic, and their frequency of occurrence. [Figure 15] Figure 15(A) shows the relationship between SNP scores calculated from SNPs associated with barrier-cheek skin characteristics and barrier-cheek skin characteristics. Figure 15(B) shows the relationship between SNP scores calculated from SNPs associated with barrier-cheek skin characteristics and their frequency of occurrence. [Figure 16] Figure 16(A) shows the relationship between SNP scores calculated from SNPs associated with barrier-arm as a skin characteristic and barrier-arm. Figure 16(B) shows the relationship between SNP scores calculated from SNPs associated with barrier-arm as a skin characteristic and their frequency of occurrence. [Modes for carrying out the invention]

[0015] The present invention relates to a process for detecting SNPs associated with skin characteristics. A process for determining skin characteristics based on detected SNPs. This relates to a method for determining skin characteristics, including the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs1278587 8, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145 , rs2246416, rs2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs20109 63, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, r s964184, rs1993116, rs2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748 At least one SNP is selected from the group consisting of the following.

[0016] In this invention, SNPs are represented by their rs number (Reference SNP ID number). Detailed information about each SNP corresponding to each rs number (such as its location on the chromosome and mutations) is managed by the National Center for Biotechnology Information (NCBI) in the United States and can be accessed on the NCBI website (http: / / www.ncbi.nlm.nih.gov / ).

[0017] SNP detection may be performed by any known method. For example, nucleic acids from a subject's biological sample, such as saliva, blood, mucous membrane, tissue fragment, or hair, are purified according to a standard method, and SNPs are detected in the purified nucleic acids. Therefore, the method for determining skin characteristics of the present invention may further include a sample preparation step and a nucleic acid purification step. The nucleic acid may be DNA or RNA, and in the case of RNA, it is preferable to perform reverse transcription after purification to prepare DNA. In the SNP detection step, any method that enables the detection of SNPs in the purified nucleic acids can be used. SNPs can be detected by sequencing around the location of the target SNP, or by using PCR-based methods, DNA probe-based methods, or mass spectrometry-based methods. Examples of PCR-based methods include SNP typing, TaqMan PCR, single-nucleotide extension, pyrosequencing, and exonuclease cycling assay. Examples of methods using DNA probes include the Invader method (Comprehensive Gene Polymorphism Analysis (SNP), Japanese Journal of Pharmacology, 125, 148-152, 2005). SNPs may be associated with other SNPs in linkage disequilibrium. The target SNP can be detected by detecting SNPs in linkage disequilibrium with the target SNP. Therefore, in this invention, SNP detection is not limited to the direct detection of the target SNP, but also includes detecting the target SNP by detecting SNPs in linkage disequilibrium.

[0018] Furthermore, the presence of SNPs can also be detected based on an individual's already sequenced nucleotide sequence. In this case, the presence of SNPs can be detected by examining the sequence at the location where the SNP is located within the already determined nucleotide sequence data. Therefore, SNP detection in this case may be performed by inputting the nucleotide sequence data into a computer that stores SNP information. In a more preferred embodiment, the input is made from a terminal via the internet, the SNP is detected on a server, and the detection results can be output to the terminal via the internet.

[0019] The subjects whose skin characteristics are detected by this invention may be of any race. However, since the types and abundance of SNPs can vary among races, it is preferable to identify the race before identifying the SNPs. In particular, when skin characteristics are detected in relation to human skin color, the target race is preferably East Asian (Mongoloid).

[0020] As skin characteristics, at least one selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics can be determined. The relationship between SNPs and these skin characteristics is such that the presence of heterozygous or homozygous SNPs may have either a negative or positive effect on these skin characteristics. An SNP score can be calculated based on the number of negatively acting SNPs and the number of positively acting SNPs. For example, the SNP score can be calculated by subtracting the number of negatively acting SNPs from the number of positively acting SNPs. Alternatively, the reverse can be done, i.e., by subtracting the number of positively acting SNPs from the number of negatively acting SNPs. By pre-determining the relationship between skin characteristics and SNP scores, the skin characteristics of a subject can be determined based on the calculated SNP score.

[0021] If skin characteristics refer to skin shape characteristics, then: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs103 0868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs At least one SNP selected from the group consisting of 1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184 is used. Skin shape characteristics can be further subdivided into wrinkles, texture, and firmness. If the skin shape characteristic is wrinkles, at least one SNP selected from the group consisting of the following: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017, and rs964184 is used. When the skin texture characteristic is fine texture, at least one SNP selected from the group consisting of the following: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, rs7799039 is used.When the skin texture characteristic is firmness, at least one SNP selected from the group consisting of rs1256062, rs3760776, rs12931267, and rs2285053 is used. The relationship between these SNPs and the genes in which they exist is as follows. [Table 1] Of these SNPs, if the SNPs indicated as negative (-) for the above effect are present in either a heterozygous or homozygous state, it can be determined that wrinkles are less likely to form. Conversely, if the SNPs indicated as positive (+) for the above effect are present in either a heterozygous or homozygous state, it can be determined that wrinkles are more likely to form.

[0022] The SNP score for determining wrinkles can be expressed by the following formula as an example, and the wrinkle state can be determined based on this SNP score.

number

number

number

[0023] If skin characteristics refer to skin color characteristics, then: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058 017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766, r At least one SNP selected from the group consisting of s1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184 is used. Skin color characteristics can be further subdivided into base skin color, skin color in UV-exposed areas, blemishes, brightness, and yellowness. When the skin color characteristic is base skin color, at least one SNP selected from the group consisting of:rs3760776,rs2246416,rs2241145,rs10741657,rs6058017,rs2287074,rs74653330,rs1256062,rs17577,rs3865188,rs41281112, and rs8326 is used. When the skin color characteristic is the skin color of the part of the skin exposed to ultraviolet light, at least one SNP selected from the group consisting of the following:rs2241145,rs6058017,rs1799750,rs1030868,rs2287074,rs2046571,rs2285053,rs10741657,rs2246416,rs1107946,rs7201, and rs74653330 is used.If the skin color characteristic is a blemish, then the following: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs11057830, rs11234027, rs12272004, rs1256062, rs1485766, rs1501299, rs At least one SNP selected from the group consisting of 1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs964184 is used. When the skin color characteristic is brightness, at least one SNP selected from the group consisting of the following:rs2285053,rs6058017,rs74653330,rs2246416,rs11057830,rs1126643,rs1799724,rs2228479,rs2232228,rs4654748,rs833061, and rs9340799 is used. If the skin color characteristics are yellowish, at least one SNP selected from the group consisting of the following:rs10741657,rs6058017,rs2241145,rs2285053,rs1799750,rs1030868,rs2246416,rs1107946,rs1126643,rs12913832,rs17577,rs3785079,rs492602,rs74653330,rs833061, and rs9340799 is used.

[0024] The relationship between SNPs related to skin color characteristics and the genes in which these SNPs exist is as follows: [Table 2]

[0025] Of these SNPs, those whose effect is indicated as negative (-) can be determined to have a tendency to decrease each measured value of the skin color characteristic when present in a heterozygous or homozygous state, while those whose effect is indicated as positive (+) can be determined to have a tendency to increase each measured value of the color characteristic when present in a heterozygous or homozygous state. Each of the skin color characteristics can be further subdivided according to the table above into freckles (freckles, average freckle area), melanin amount (facial cheek melanin, inner upper arm melanin), skin color (cheek brightness, cheek yellowness), etc. When SNPs indicated as positive for freckles are present in a heterozygous or homozygous state, there is a tendency for freckles to form easily and for them to be larger. When SNPs indicated as positive for melanin amount are present in a heterozygous or homozygous state, there is a tendency for melanin amount to be higher. When SNPs indicated as positive for skin color are present in a heterozygous or homozygous state, there is a tendency for skin color to be darker.

[0026] More specifically, regarding blemishes, if an SNP is marked negative (-), the blemishes tend to become lighter, and if an SNP is marked positive (+), the blemishes tend to become darker. Regarding the average area of ​​blemishes, if an SNP is marked negative (-), the average area of ​​blemishes tends to become smaller, and if an SNP is marked positive (+), the average area of ​​blemishes tends to become larger. Regarding facial cheek melanin and inner upper arm melanin, if an SNP is marked negative (-), the amount of melanin tends to decrease, and if an SNP is marked positive (+), the amount of melanin tends to increase. Regarding cheek brightness, if an SNP is marked negative (-), the cheek brightness tends to become darker, and if an SNP is marked positive (+), the cheek brightness tends to become brighter. Regarding cheek yellowness, if an SNP is marked negative (-), the yellowness tends to become lighter, and if an SNP is marked positive (+), the yellowness tends to become darker.

[0027] Spots refer to pigment deposition that primarily occurs on the face. The main cause of spots is ultraviolet (UV) radiation, which increases the activity of melanocytes, leading to increased melanin production compared to other areas of the body. In addition to UV radiation, stress, lack of sleep, and hormonal imbalances also influence spot formation. Spots include post-inflammatory hyperpigmentation, age spots, melasma, and freckles. The average area of ​​a spot indicates its size when it occurs. Spots can be determined visually or by any other method; for example, the index value of a spot can be determined using equipment such as Visia Evolution.

[0028] The inner side of the upper arm is less affected by ultraviolet (UV) radiation. Therefore, SNPs related to melanin levels in the inner side of the upper arm indicate a genetic predisposition to the skin's natural color, or in other words, skin color in a state unaffected by UV radiation. For example, individuals who are genetically predisposed to having a high amount of melanin in the inner side of their upper arm can be said to have a darker natural skin color. On the other hand, the face is constantly exposed to UV radiation. Therefore, SNPs related to melanin levels in the face indicate a susceptibility to darkening due to UV radiation.

[0029] The brightness and yellowness of the cheeks are related to skin dullness. Causes of dullness include melanin levels, blood circulation, dryness, and aging (protein denaturation such as glycation and carbonylation). The brightness and yellowness of the cheeks can be measured using a spectrophotometer.

[0030] The SNP score for determining skin color characteristics can be expressed by the following formula as an example, and skin color characteristics can be determined based on such SNP scores.

number

number

number

number

number

number

[0031] If skin characteristics refer to skin type, then: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs746533 30, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs605 At least one SNP selected from the group consisting of 8017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184 is used. Skin type can be further subdivided into sebum content, moisture content, and skin barrier function. If the skin type is oily, at least one SNP selected from the group consisting of the following:rs2987983,rs74653330,rs12931267,rs10882272,rs1667255,rs2046571,rs2227564,rs2246416,rs4065,rs4880,rs492602,rs6058017, andrs964184 is used. When the skin type is moisture content, at least one SNP selected from the group consisting of the following:rs7501331,rs3760776,rs3829251,rs17822931,rs1126643,rs12377462,rs1485766,rs1501299,rs16891982,rs17577,rs1800012,rs2228479,rs2282679,rs3785079,rs7201, andrs9340799 is used.When the skin type is defined as skin barrier function, at least one SNP selected from the group consisting of:rs1050565,rs17822931,rs1800414,rs2285053,rs3829251,rs1800629,rs11057830,rs1030868,rs10515552,rs1061622,rs10882272,rs1107946,rs1126643,rs2241145,rs2282679,rs41281112,rs6058017,rs7201,rs74653330,rs7799039,rs8110862, and rs9340799 is used. The relationship between these SNPs and the genes in which they exist is as follows: [Table 3] Skin type, as a skin characteristic, can be further subdivided into sebum amount, moisture content (cheeks, arms), and skin barrier function (cheeks, arms) according to the table above. Regarding sebum amount, this refers to skin that tends to have high sebum levels and skin that tends to have low sebum levels. Regarding moisture content, good skin type means having a high moisture content, and poor skin type means having a low moisture content. Regarding skin barrier function, this measures transepidermal water loss. Skin types that tend to have a high transepidermal water loss value have a low skin barrier function, and skin that tends to have a low transepidermal water loss value have a high skin barrier function.

[0032] SNP scores related to determining skin function are expressed by the following formula, and skin function can be determined based on these SNP scores. Each of the subdivided characteristics of skin function can be determined based on the following SNP scores.

number

number

number

number

number

[0033] In another aspect of the present invention, the present invention relates to a computer for determining skin characteristics. Such a computer can perform the above-described method for determining skin characteristics. In a further aspect of the present invention, the present invention also relates to a method for controlling or a program for controlling the computer for determining skin characteristics of the present invention, and a storage medium for storing said program. The computer of the present invention includes a storage unit, an input unit, an output unit, and a processing unit.

[0034] The storage unit includes memory devices such as RAM, ROM, and flash memory, fixed disk devices such as hard disk drives, or portable storage devices such as flexible disks and optical disks. The storage unit stores data and instructions input from the input unit, calculation results performed by the processing unit, and programs and databases used for various computer processes. Computer programs may be installed, for example, on computer-readable recording media such as CD-ROMs and DVD-ROMs, or via the internet. Computer programs are installed in the storage unit using known setup programs. In this invention, the storage unit includes the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs129 31267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs 2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs8 33061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3 785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs228 2679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693 The system stores information about at least one SNP selected from the group consisting of rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, along with information about the skin characteristics associated with that SNP. The information about these SNPs may also store information about SNPs that are in linkage disequilibrium with that SNP. The information about the SNP includes sequence information, and the information about the skin characteristics associated with the SNP records the type and effect of the skin characteristic, the SNP score, and the multiplier if it is homozygous.

[0035] The input unit includes an interface. The interface may be connected to, for example, an operation unit such as a keyboard or mouse, a communication unit such as a LAN or port, or an external storage device such as a CD-ROM, DVD-ROM, BD-ROM, or Memory Stick. Information regarding SNPs and information regarding skin characteristics associated with the SNPs may be input from the input unit and stored in the memory unit. In addition, target sequence information is input from the input unit. The input sequence information may be temporarily stored in the memory unit or sent directly to the processing unit. The target sequence information may be the entire genome sequence of the target or only a portion of the target sequence. Processing instructions can be given from the input unit to the processing unit via the operation unit.

[0036] The processing unit detects the presence of SNPs in the target sequence information. More specifically, the processing unit can detect the presence of SNPs in the target sequence information by comparing the SNP sequence information stored in the memory unit with the target sequence information input from the input unit. The presence of SNPs can be detected by comparing the SNP sequence information stored in the memory unit with the target sequence information input from the input unit, or by searching for the SNP sequence information stored in the memory unit within the target sequence information input from the input unit. The processing unit executes various arithmetic operations according to the program stored in the memory unit. The arithmetic operations are performed by the CPU included in the processing unit. This CPU includes a functional module that controls the input unit, memory unit, and output unit, and can perform various controls. Each of these units may be composed of an independent integrated circuit, microprocessor, firmware, etc. Information about the presence of SNPs detected by the processing unit may be temporarily stored in the memory unit, or the processing unit can directly read information about skin characteristics associated with the SNP from the memory unit based on the presence of the SNP. Furthermore, if multiple SNPs are present, an SNP score can be calculated based on the SNP information. Next, the processing unit processes the retrieved skin characteristic information so that it is output from the output unit.

[0037] The output unit is configured to output skin characteristic information and / or SNP scores stored in the memory unit for SNPs detected by the data processing unit. The output unit may be a display device such as a liquid crystal display that directly displays the results of the calculation processing, an output means such as a printer, or an interface unit for outputting to an external storage device or via a network.

[0038] In a preferred embodiment of the present invention, the computer of the present invention constitutes a server, and the input unit and output unit are connected to a network via interface units. In this case, individual terminals connected to the network can provide genome information or partial genome sequence information, and the provided sequence information can be processed on the server to detect the presence of SNPs, determine skin characteristics, and output the determined skin characteristics to the terminals.

[0039] While it is possible to determine skin characteristics by detecting a single SNP, it is preferable to detect multiple SNPs to determine skin characteristics in order to achieve better sensitivity. To determine skin characteristics based on the detection of multiple SNPs, one example is to determine whether the SNP has a positive or negative effect on the skin characteristic and calculate an SNP score by assigning points according to its presence. By pre-determining the relationship between the SNP score and skin characteristics, skin characteristics can be determined from the SNP score.

[0040] In the examples, the relationship between SNP scores and skin characteristics is shown based on SNP information obtained from 200 volunteers and their relationship to skin characteristics (Figures 3-16). These SNP scores vary depending on the population and the selected SNPs. Although not intended to be limiting, for example, for wrinkles, an SNP score of 2 or higher, more preferably 3 or higher, can be used to determine that wrinkles are more likely to develop with age. For example, for age spots, an SNP score of 2 or higher, more preferably 4 or higher, can be used to determine that age spots are more likely to develop with age. For example, for skin texture, an SNP score of 2 or higher, more preferably 3 or higher, can be used to determine that skin texture is more likely to deteriorate with age.

[0041] When skin characteristics are determined by the skin characteristic determination method of the present invention, counseling can be provided based on this information about skin characteristics. Therefore, one aspect of the present invention also relates to a counseling method. In such counseling, advice can be provided on lifestyle habits and the selection of cosmetics and supplements to be used. For example, among skin color characteristics, the amount of melanin in the upper arm is related to the person's natural skin color, while the amount of melanin in the face is related to the skin color affected by ultraviolet rays. Therefore, if, by SNP analysis, the amount of melanin in the upper arm tends to be low while the amount of melanin in the face is high, it can be determined that the subject is fair-skinned but is more susceptible to the effects of ultraviolet rays and therefore requires more care against ultraviolet rays. For such subjects, lifestyle habits that avoid ultraviolet rays can be suggested, as well as the use of cosmetics containing stronger UV protection agents can be suggested.

[0042] If a person is determined to be prone to wrinkles, cosmetics or supplements can be provided that contain ingredients that can enhance the production of collagen and elastin, as well as elastic fibers, and / or inhibit the breakdown of elastic fibers, such as matrix metalloproteinase inhibitors. Examples of such ingredients include extracellular matrix degradation inhibitors, such as matrix metalloproteinase inhibitors, and more specifically, collagenase inhibitors. Specific examples of such ingredients include retinol, winged bean extract, and mangosteen extract (Advances and Future Prospects of Cosmetic Efficacy Evaluation Technology, Yakuji Nippo Co., Ltd., (2001), Section 7, Wrinkle-Reducing Cosmetics, pp. 162-177).

[0043] If it is determined that a person is prone to skin color problems such as blemishes, cosmetics or supplements containing ingredients that have UV-blocking effects, melanin production inhibitory effects, and / or keratin turnover promoting effects can be provided. Examples of such ingredients include UV protectants, vitamin C derivatives, hydroquinone, tranexamic acid, potassium 4-methoxysalicylate, arbutin, kojic acid, rucinol, and vitamin C derivatives (Advances and Future Prospects of Cosmetic Efficacy Evaluation Technology, Yakuji Nippo Co., Ltd., (2001), Section 6, Whitening Cosmetics, pp. 144-161). In addition, appropriate makeup bases and cosmetics, as well as makeup methods, can be suggested.

[0044] If skin functions such as texture, firmness, sebum, moisture content, and skin barrier function are deemed to be poor, cosmetics or supplements containing ingredients that can enhance skin function can be provided. Known ingredients include texture and firmness improving agents, sebum reducing agents, moisture content increasing agents, and skin barrier function improving agents. Examples of such ingredients include moisturizers, tranexamic acid, and winged bean extract.

[0045] Another aspect of the present invention relates to a kit for determining skin characteristics. The kit is as follows: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs129 31267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs 2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs8 33061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs37 85079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282 679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693, The kit includes a nucleic acid reagent for detecting at least one SNP selected from the group consisting of rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, or an SNP in linkage disequilibrium thereof. Such a kit may further include a nucleic acid extraction reagent and a purification reagent. It may also include instructions for use explaining the relationship between the detected SNP and skin condition.

[0046] Such nucleic acid reagents include, for example, primers capable of selectively amplifying SNPs, DNA polymerase, dNTPs, and optionally amplification buffers. Primers capable of amplifying SNPs can be arbitrarily designed for each SNP.

[0047] When a nucleic acid probe is used as the nucleic acid reagent, the kit may further include a probe detection reagent. Such nucleic acid probes may be unimmobilized probes or probes immobilized on a DNA chip to simultaneously detect multiple SNPs. Such nucleic acid probes may be labeled to enable detection of specific SNPs.

[0048] All references made herein are incorporated herein by citation in their entirety.

[0049] The embodiments of the present invention described below are for illustrative purposes only and do not limit the technical scope of the invention. The technical scope of the invention is limited solely by the claims. Modifications to the invention, such as additions, deletions, and substitutions of constituent elements of the invention, can be made without departing from the spirit of the invention. [Examples]

[0050] Measurement of skin characteristic values As skin characteristic values, we measured the wrinkle condition, blemish condition, skin color (facial melanin amount, skin (inner upper arm) melanin amount, brightness, yellowness), and skin condition (moisture content, barrier function, sebum amount, firmness, texture) of 200 female volunteers aged 35-59. For each measurement, wrinkle condition and blemish condition were measured using Visia Evolution (Canfield Scientific), and wrinkle and blemish index values ​​were calculated from captured images using a dedicated analysis method and used for analysis. Skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), measuring the melanin amount and brightness (L) of the facial cheeks. * • Colorimetric value), yellow (b *The color (color) was measured. In addition, the skin color of the inner upper arm, a part not exposed to sunlight, was measured and the amount of melanin was calculated. Skin condition was measured using a commercially available specialized device to measure stratum corneum moisture content (Corneometer), transepidermal water loss (barrier function) (Vapometer), sebum amount (Sebumeter), and firmness (Cutometer). Skin texture was measured using the original measuring device Skinvisiom II and specialized analysis software to measure the degree of unevenness in skin texture.

[0051] Genetic analysis (SNP genotyping) Saliva was used as the sample for genetic analysis. Saliva was collected using Oragene® DNA OG-500 (DNA Genotek Inc.) and the DNA was stabilized. DNA was purified from the saliva, and SNP genotyping was performed using a DNA array to obtain information on pre-selected SNPs. The SNPs to be analyzed were selected based on past dermatological findings that were expected to have an impact on skin characteristic values.

[0052] Statistical processing methods The association between skin characteristic values ​​and SNP genotypes was determined by multiple comparisons, multiple regression analysis, statistical analysis of odds ratios, cases where prediction intervals were set using the optimal regression model, and control analyses. Furthermore, the associations between multiple SNP genes related to skin characteristics were evaluated using covariance structure analysis (SEM) and decision tree analysis, and an attempt was made to quantify the influence of SNP genes on skin characteristic values.

[0053] Multiple comparison analysis For pairs of skin characteristic values ​​and gene SNPs, we analyzed which genotype SNPs differed in the distribution of skin characteristic values. For quantitative data, we performed multiple comparison tests using Tukey's multiple comparisons. For qualitative data, we applied the chi-squared test and Fisher's exact test. The SNPs selected in the multiple comparison analysis are shown in Table 4 below. [Table 4]

[0054] Multiple regression analysis Simple regression analysis revealed that many trait values ​​correlated with age (data not shown). Therefore, to separate the effects of aging from those of genetics, multiple regression analysis was performed with genetic factors and age (numerical value) as variables. Standardized partial regression coefficients and p-values ​​were calculated for relationships where the coefficient of the genetic factor was significant. A positive sign in the standardized partial regression coefficient indicates that the skin trait value increases when the mutation occurs, while a negative sign indicates that the skin trait value decreases when the mutation occurs. The SNPs selected in the multiple regression analysis are shown in Table 5 below.

[0055] [Table 5]

[0056] Odds ratio Thresholds were set and skin characteristic data was divided into two groups, and contingency tables were created by combining them with SNP genotypes. Since skin characteristic values ​​change with age, the thresholds also changed with age. Here, the top 1 / 4 of skin characteristic values ​​within a certain age range were designated as the high-ranking group, and the bottom 1 / 4 as the low-ranking group, and comparisons were made between these two groups. The selection criteria for the control group and the risk group were as follows: if skin characteristic values ​​increased with age, the group with increasing values ​​was designated as the risk group; conversely, if they decreased, the group with decreasing values ​​was designated as the risk group. For each SNP, two genotype samples were selected, and 2x2 contingency tables were created for the control group and the risk group, and statistical tests were performed. "Contemporary age" in the selection of the control group and the risk group was defined as being within ±5 years of one's own age. Table 6 below shows the combinations of skin characteristic values ​​and SNPs for which the odds ratios of wild type and heterozygous or homozygous types were significant in Fisher's exact test.

[0057] [Table 6]

[0058] Covariance structure analysis (SEM) analysis SEM analysis is a method for modeling relationships between continuous variables, and is a model analysis that integrates multiple regression analysis and factor analysis. Categorical variables can be replaced with dummy variables. The model variables consist of observed variables and latent variables (constructs). Skin characteristic value data, age, and SNP polymorphism data were used as observed variables, and the SNP polymorphism data was replaced with Wild→0, Hetero→1, Homo→2 and treated as a single dummy variable. For the SEM model notation, we used the lavaan notation, which allows for flexible model description.

[0059] Analysis procedure (1) Define the model. (2) Estimate the model parameters (parameters) so as to best explain the variance structure of the sample data. (3) Check the goodness-of-fit index of the model (an index that shows how well the model was able to explain the variance structure of the sample data). (4) Check the magnitude and reliability (p-value) of the model parameters. (5) If the fit and parameters are good, the analysis is terminated. (6) If there were model variables that had good fit but low reliability, the analysis (1) to (4) was performed on the model with those variables excluded and compared. If the goodness of fit was poor, the model was improved using correction metrics (metrics that indicate what relationships should be added to the model to improve the goodness of fit), and the analyses (1) to (4) were performed and compared.

[0060] Decision tree analysis In the decision tree analysis, continuous skin characteristic values ​​were used as the dependent variable, and the branching condition was determined to minimize the ratio of the between-class variance to the intra-class variance of the dependent variable for the two separated groups. Since age was included as a branching factor, age-specific analysis was not performed, and modeling was conducted on all samples. The model variables are: (1) Dependent variable: Skin characteristic value (continuous value) (2) Explanatory variables (independent variables): Age groups in 5-year increments, SNP polymorphisms That's what I decided. Analysis procedure (1) Determine the combination of the dependent variable (skin characteristic value) and the independent variable (SNP). (2) Decision tree analysis involves continuously splitting the tree in a way that reduces the complexity parameter (CP). Initially, the analysis is performed under the condition that the splitting continues as long as the CP decreases. (3) Calculate the error rate of the model for each branching condition using n-fold cross-validation. In n-fold cross-validation, the data is divided into n sets, a decision tree is created using n-1 sets, the remaining set of data is classified, and the resulting error rate is calculated. The test data is swapped and n evaluations are performed. (4) The Min+1SE method was adopted as the termination condition. (5) The tree created up to the split point of the stopping condition was defined as a decision tree.

[0061] The genes selected from SEM analysis and decision tree analysis are shown in Table 7 below. [Table 7]

[0062] Consideration of creating indicators Based on the analysis results so far, we considered how to quantify the influence of SNPs on skin characteristic values. The relationship between SkinXX and SnpYY discussed in this section was simply counted as points. Factors that increase were assigned +1, and factors that decrease were assigned -1. For each characteristic value, the following SNPs were selected, and the score calculation formula, the frequency distribution of the scores, and the BoxPlot of skin characteristic values ​​for each score are shown in Figures 3(A) to 16(A).

[0063] The SNPs selected for indexing are shown in Table 8 below. [Table 8-1] [Table 8-2]

[0064] Analysis of blemishes Regarding skin characteristics, the analysis of blemishes is performed using the following formula:

number

[0065] Analysis of the average area of ​​stains The analysis of the average area of ​​blemishes among the skin characteristics is performed using the following formula:

number

[0066] Analysis of facial melanin in the cheeks Regarding skin characteristics, the analysis of facial cheek melanin is performed using the following formula:

number

[0067] Analysis of melanin on the inner side of the upper arm Regarding skin characteristics, the analysis of melanin on the inner side of the upper arm is performed using the following formula:

number

[0068] Analysis of cheek brightness The analysis of cheek brightness, one of the skin characteristics, is performed using the following formula:

number

[0069] Analysis of the yellow color on the cheeks Regarding skin characteristics, the yellow color of the cheeks is analyzed using the following formula:

number

[0070] Wrinkle analysis Regarding skin characteristics, the analysis of wrinkles is performed using the following formula:

number

[0071] Skin texture analysis The analysis of skin texture, one of the skin's characteristics, is performed using the following formula:

number

[0072] Needle analysis The analysis of skin firmness is performed using the following formula:

number

[0073] Sebum - Forehead Analysis Regarding skin characteristics, the sebum-forehead analysis is performed using the following formula:

number

[0074] Moisture content - Cheek analysis Regarding skin characteristics, the moisture content of the cheeks is analyzed using the following formula:

number

[0075] Moisture content - arm analysis Regarding skin characteristics, the moisture content of the arm is analyzed using the following formula:

number

[0076] Barrier - Cheek Analysis Regarding skin characteristics, the barrier-cheek analysis is performed using the following formula:

number

[0077] Barrier-arm analysis Regarding skin characteristics, the barrier-arm analysis is performed using the following formula:

number

[0078] Cases where prediction intervals were set using the optimal regression model, and control analysis. The number of subjects was increased to the number shown in Table 9 below, and further analysis was performed. For pairs of skin characteristic values ​​and genotype SNPs, the distribution of skin characteristic values ​​was analyzed to determine which genotype SNPs differed. For each skin characteristic, the optimal regression model shown in Table 10 was set from the plot of age and each measurement value, and the width of the standard deviation (σ) prediction interval was determined. The group of samples that fell above the width prediction interval was designated as the high-value group, and the group that fell below it was designated as the low-value group. The high-value and low-value groups were designated as "cases," and the rest were designated as "controls." A chi-squared test was applied, and the selected SNPs are shown in Table 11 below. The detection of the effect of SNPs was analyzed in two ways: dominant (manifest) and recessive (latent). Dominant was (wild + hetero) vs homozygous, and recessive was wild vs (hetero + homozygous). [Table 9]

[0079] [Table 10] [Table 11-1] [Table 11-2] [Table 11-3] [Table 11-4] [Table 11-5] [1] The following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs 12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246 416, rs2285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, r s8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs 2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, r s2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs A step of detecting at least one SNP selected from the group consisting of 1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, A process for determining skin characteristics based on detected SNPs. Methods for determining skin characteristics, including [specific details omitted]. [2] The determination method described in item 1, wherein skin characteristics are selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics. [3] Skin characteristics are skin shape characteristics, and the SNPs are as follows: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs10 30868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, The determination method described in item 2, selected from the group consisting of rs1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184. [4] The determination method described in item 3, wherein skin shape characteristics are selected from the group consisting of wrinkles, texture, and firmness. [5] The determination method described in item 3, wherein, when the skin shape characteristic is wrinkles, the SNP is selected from the group consisting of the following: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017, and rs964184. [6] The determination method described in item 3, wherein, when the skin texture characteristic is fine texture, the SNP is selected from the group consisting of the following: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, rs7799039. [7] The determination method described in item 3, wherein, when the skin shape characteristic is firmness, the SNP is selected from the group consisting of the following: rs1256062, rs3760776, rs12931267, and rs2285053, rs1030868, rs10741657, rs11568737, rs1540771, rs1799724, rs1800012, rs1801133, rs1993116, rs2060793, rs2228479, rs2232228, rs2241145, rs2287074, rs41281112, rs492602, rs8326. [8] Skin characteristics are skin type, and the SNPs are as follows: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41 The determination method described in item 2, selected from the group consisting of 281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184. [9] The method for determining skin type as described in item 8, in which skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[10] The determination method described in item 9, wherein, when the skin type is sebum production, the SNP is selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017, and rs964184.

[11] The determination method described in item 9, wherein, when the skin type is moisture content, the SNP is selected from the group consisting of the following: rs7501331, rs3760776, rs3829251, and rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201, rs9340799.

[12] The determination method described in item 9, wherein, when the skin type is skin barrier function, the SNP is selected from the group consisting of the following: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs74653330, rs7799039, rs8110862, and rs9340799.

[13] Skin characteristics are skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs129138 The determination method described in item 2, selected from the group consisting of 32, rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.

[14] The method for determining skin color characteristics as described in item 13, wherein skin color characteristics are selected from the group consisting of base skin color, skin color in areas exposed to ultraviolet light, blemishes, brightness, and yellowness.

[15] The determination method described in item 14, wherein, when the skin color characteristic is the base color of the skin, the SNP is selected from the group consisting of the following: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326.

[16] The determination method according to item 14, wherein, when the skin color characteristic is the skin color of the part of the skin exposed to ultraviolet light, the SNP is selected from the group consisting of the following: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201, and rs74653330.

[17] When the skin color characteristic is a freckle, the SNPs are as follows: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs11057830, rs11234027, rs12272004, rs1256062, rs1485766, rs15012 The determination method described in item 14, selected from the group consisting of 99, rs1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs964184.

[18] The determination method according to item 14, wherein, when the skin color characteristic is brightness, the SNP is selected from the group consisting of: rs2285053, rs6058017, rs74653330 and rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061 and rs9340799.

[19] The determination method described in item 14, wherein, when the skin color characteristics are yellowish, the SNP is selected from the group consisting of: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, and rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079, rs492602, rs74653330, rs833061, and rs9340799.

[20] A counseling method based on skin characteristics determined by the method described in any one of items 1 to 19.

[21] A method for providing cosmetics, characterized by selecting cosmetics according to skin characteristics determined by the method described in any one of items 1 to 19.

[22] A method for providing supplements, characterized by selecting supplements according to skin characteristics determined by the method described in any one of items 1 to 19.

[23] A computer for determining skin characteristics, the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs125 6062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs298798 3, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272 , rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs4880 A storage unit that stores information about at least one SNP selected from the group consisting of rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information about skin characteristics associated with said SNP. An input section for entering the user's DNA information. A processing unit that detects the presence of stored SNPs in the input DNA information. Output unit that outputs information on skin characteristics related to detected SNPs. Computers, including

[24] The computer described in item 23, wherein the computer is a server, the input unit is a communication unit, and the output unit is a communication unit.

[25] The computer according to item 23 or 24, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics.

[26] Skin characteristics are skin shape characteristics, and the SNPs are as follows: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs103 0868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs A computer as described in item 25, selected from the group consisting of 1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184.

[27] A computer as described in item 26, wherein the skin shape characteristics are selected from the group consisting of wrinkles, texture, and firmness.

[28] Skin characteristics are skin type, and the SNPs are as follows: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653 330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs60 A computer as described in item 25, selected from the group consisting of 58017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184.

[29] A computer as described in item 28, in which the skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[30] Skin characteristics are skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs605 8017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766 The determination method described in item 25, selected from the group consisting of rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.

[31] The method for determining skin color characteristics as described in item 30, wherein skin color characteristics are selected from the group consisting of base skin color, skin color in areas exposed to ultraviolet light, blemishes, brightness, and yellowness.

[32] The memory unit further stores information on skin characteristics, a list of cosmetics and supplements suitable for those skin characteristics, and advice on lifestyle improvements necessary for a person with those skin characteristics. A computer as described in any one of items 23 to 31, which outputs information on skin characteristics, as well as cosmetics and supplements suitable for that skin information, and advice on lifestyle improvements necessary for a person with those skin characteristics.

[33] A program for controlling a computer that determines skin characteristics, which includes a memory unit, an input unit, a processing unit, and an output unit, the following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs129 31267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2 285053, rs2287074, rs2987983, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs83 3061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs378 5079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs22826 79, rs12272004, rs2227564, rs2298585, rs4065, rs4880, rs492602, rs12051272, rs1126643, rs2234693, rs Information regarding at least one SNP selected from the group consisting of 3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information regarding skin characteristics associated with said SNP are stored in the memory unit. The user's DNA information is entered through the input section. The processing unit is instructed to detect the presence of SNPs stored in the input DNA information. The output unit outputs information about skin characteristics related to the detected SNP. The aforementioned program.

[34] The program described in item 33, wherein the computer is a server, its input unit is a communication unit, and its output unit is a communication unit.

[35] A program according to item 33 or 34, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics.

[36] Skin characteristics are skin shape characteristics, and the SNPs are as follows: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs103 0868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, r A program described in item 35, selected from the group consisting of s1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184.

[37] A program as described in item 36, wherein the skin shape characteristics are selected from the group consisting of wrinkles, texture, and firmness.

[38] Skin characteristics are skin type, and the SNPs are as follows: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653 330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs60 A program as described in item 35, selected from the group consisting of 58017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184.

[39] A program as described in item 38, in which the skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[40] Skin characteristics are skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs1291383 2. A program as described in item 35, selected from the group consisting of rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.

[41] A program as described in item 40, wherein the skin color characteristics are selected from the group consisting of base skin color, skin color in UV-exposed areas, blemishes, brightness, and yellowness.

[42] The following: rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs125 6062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs298798 3, rs3760776, rs3829251, rs6058017, rs74653330, rs7501331, rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs1088227 2, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679, rs12272004, rs2227564, rs2298585, rs4065, rs48 A kit for determining skin characteristics, comprising a nucleic acid reagent for detecting at least one SNP selected from the group consisting of 80, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748.

[43] The kit according to item 42, wherein the kit further comprises nucleic acid extraction and purification reagents.

[44] The kit according to item 42 or 43, wherein the nucleic acid reagent is a primer capable of selectively amplifying SNPs, and the kit further comprises a polymerase and a dNTP.

[45] The kit according to item 42 or 43, wherein the nucleic acid reagent is a nucleic acid probe, and the kit further comprises a probe detection reagent.

Claims

1. A step of detecting rs1107946 as an SNP, A process for determining skin characteristics based on the SNP group, including the detected SNPs. Methods for determining skin characteristics, including [specific details omitted].

2. The method for determining skin characteristics according to claim 1, wherein the skin characteristics are selected from the group consisting of skin shape characteristics related to wrinkles and / or texture, skin quality related to skin barrier function, and skin color characteristics related to skin color and / or yellowness in the area of ​​skin exposed to ultraviolet light.

3. The method for determining skin characteristics according to claim 2, wherein the skin characteristics are skin shape characteristics relating to wrinkles and texture.

4. The method for determining skin characteristics according to claim 2, wherein skin characteristics are skin type related to skin barrier function.

5. The method for determining skin characteristics according to claim 2, wherein the skin characteristics are skin color characteristics relating to the color and yellowness of the part of the skin exposed to ultraviolet light.

6. A method for providing beauty counseling based on skin characteristics determined by the method described in any one of claims 1 to 5.

7. A method for providing cosmetics, characterized by selecting a cosmetic according to skin characteristics determined by the method described in any one of claims 1 to 5.

8. A method for providing a beauty supplement, characterized by selecting a supplement according to skin characteristics determined by the method described in any one of claims 1 to 5.

9. A computer for determining skin characteristics, comprising a storage unit that stores information about the SNP of rs1107946 and information about skin characteristics associated with said SNP, An input section for entering the user's DNA information. A processing unit that detects the presence of stored SNPs in the input DNA information. Output unit that outputs information on skin characteristics related to detected SNPs. Computers, including

10. The computer according to claim 9, wherein the computer is a server, its input unit is a communication unit, and its output unit is a communication unit.

11. The computer according to claim 9 or 10, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics.

12. A program for controlling a computer that determines skin characteristics, which includes a memory unit, an input unit, a processing unit, and an output unit, wherein the memory unit stores information about the SNP of rs1107946 and information about skin characteristics associated with the SNP. The user's DNA information is entered through the input section. The processing unit is instructed to detect the presence of SNPs stored in the input DNA information. The output unit outputs information about skin characteristics related to the detected SNP. The aforementioned program.

13. The program according to claim 12, wherein the computer is a server, the input unit is a communication unit, and the output unit is a communication unit.

14. The program according to claim 12 or 13, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin texture, and skin color characteristics.

Images