Method for analyzing skin 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, beauty guidance services, selection of cosmetics, supplements, etc. become possible. [Background technology]

[0002] Skin characteristics vary greatly from person to person, and in order to provide cosmetics suited to each individual's skin characteristics, individual counseling has traditionally been conducted based on the results of a self-diagnosis questionnaire by the customer and objective information about the skin, such as skin texture, skin barrier function, moisture content, elasticity, viscosity, etc., measured by equipment.

[0003] However, the customer's self-diagnosis was a subjective judgment and did not accurately reflect the customer's skin characteristics. In addition, the objective information measured by the device only quantified the condition at the time of the test, which can change daily, making it difficult to predict future skin problems.

[0004] If it were possible to predict future skin problems in advance, it would be extremely useful to be able to take preventive measures.

[0005] In recent years, skin tests based on gene SNP analysis have been proposed, and the relationship between SNP and skin quality has been studied, particularly for genes that code for proteins directly related to skin quality (Patent Documents 1 to 4). As a result, methods for predicting skin characteristics and skin troubles based on SNP analysis results have been provided. In these studies, SNPs are examined for genes that are known to be directly related to skin quality, such as wrinkles and age spots. Examples of such target genes include MC1R, MMP1, SOD2, GPX1, and ASIP. On the other hand, since there are a wide variety of genes that affect skin characteristics, it is necessary to examine the relationship between SNPs and skin characteristics in more genes. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2006-191858 A [Patent Document 2] JP 2015-73503 A [Patent Document 3] JP 2013-226096 A [Patent Document 4] JP 2011-234664 A [Patent Document 5] JP 2014-193155 A [Patent Document 6] JP 2014-45729 A [Non-patent literature]

[0007] [Non-Patent Document 1] Comprehensive gene polymorphism analysis (SNP) Japanese Pharmacology Journal (2005), 125, 148-152 Summary of the Invention [Problem to be solved by the invention]

[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 a higher degree of reliability. [Means for solving the problem]

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

[0010] Therefore, the present invention provides 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 detecting at least one SNP selected from the group consisting of rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748; A process for determining skin characteristics based on the detected SNPs The present invention relates to a method for determining skin characteristics, comprising:

[0011] In yet another aspect, the present invention provides a computer for determining skin characteristics, comprising: 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 memory unit that 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, and information about skin characteristics associated with the SNP; An input section for inputting the user's DNA information; a detection unit for detecting the presence of the stored SNP in the input DNA information; An output section that outputs information on skin characteristics related to the detected SNPs In a further aspect, the present invention also relates to a method and / or a control program for controlling such a computer, and further to a storage medium storing such a control program.

[0012] The present invention further relates to a method of determining skin characteristics and a method of providing a cosmetic, supplement, and / or beauty regimen based on skin characteristics determined by a computer that determines skin characteristics. Effect of the Invention

[0013] The present invention makes it possible to determine skin characteristics and provide cosmetics, supplements, and / or beauty treatments based on the determined skin characteristics. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a diagram showing a process flow of a program for controlling a computer that determines skin characteristics. [Diagram 2] FIG. 2 is a diagram showing the configuration of a computer that determines skin characteristics. [Diagram 3] Fig. 3(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with pigmentation as skin characteristics and pigmentation. Fig. 3(B) is a diagram showing SNP scores calculated from SNPs associated with pigmentation as skin characteristics and their occurrence frequency. [Figure 4] Fig. 4(A) is a diagram showing the relationship between the average age spot area and the SNP score calculated from the SNPs associated with the average age spot area as a skin characteristic, and Fig. 4(B) is a diagram showing the SNP score calculated from the SNPs associated with the average age spot area as a skin characteristic, and the frequency of occurrence thereof. [Diagram 5] Fig. 5(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with facial cheek melanin as a skin characteristic and facial cheek melanin. Fig. 5(B) is a diagram showing SNP scores calculated from SNPs associated with facial cheek melanin as a skin characteristic and the frequency of occurrence. [Figure 6] Fig. 6(A) is a diagram showing the relationship between the SNP score calculated from the SNPs associated with inner upper arm melanin as a skin characteristic and the inner upper arm melanin. Fig. 6(B) is a diagram showing the SNP score calculated from the SNPs associated with inner upper arm melanin as a skin characteristic and the frequency of occurrence. [Figure 7]Fig. 7(A) is a diagram showing the relationship between the SNP score calculated from the SNPs associated with cheek brightness as a skin characteristic and cheek brightness. Fig. 7(B) is a diagram showing the SNP score calculated from the SNPs associated with cheek brightness as a skin characteristic and the frequency of occurrence. [Figure 8] Fig. 8(A) is a diagram showing the relationship between the SNP score calculated from the SNPs associated with the yellow color of the cheek as a skin characteristic and the yellow color of the cheek. Fig. 8(B) is a diagram showing the SNP score calculated from the SNPs associated with the yellow color of the cheek as a skin characteristic and the frequency of occurrence. [Figure 9] Fig. 9(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with wrinkles as skin characteristics and wrinkles, and Fig. 9(B) is a diagram showing SNP scores calculated from SNPs associated with wrinkles as skin characteristics and their occurrence frequency. [Figure 10] Fig. 10(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with skin texture as a skin characteristic and skin texture, and Fig. 10(B) is a diagram showing SNP scores calculated from SNPs associated with skin texture as a skin characteristic and the frequency of occurrence thereof. [Figure 11] Fig. 11(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with elasticity as a skin characteristic and elasticity, and Fig. 11(B) is a diagram showing SNP scores calculated from SNPs associated with elasticity as a skin characteristic and their occurrence frequency. [Figure 12] Fig. 12(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with sebum-forehead as a skin characteristic and sebum-forehead. Fig. 12(B) is a diagram showing SNP scores calculated from SNPs associated with sebum-forehead as a skin characteristic and the frequency of occurrence. [Figure 13] Fig. 13(A) is a diagram showing the relationship between moisture content-cheek and SNP scores calculated from SNPs associated with moisture content-cheek as a skin characteristic, and moisture content-cheek. Fig. 13(B) is a diagram showing the SNP scores calculated from SNPs associated with moisture content-cheek as a skin characteristic, and the frequency of occurrence. [Figure 14]Fig. 14(A) is a diagram showing the relationship between moisture content-arm and SNP scores calculated from SNPs associated with moisture content-arm as a skin characteristic, and Fig. 14(B) is a diagram showing the SNP scores calculated from SNPs associated with moisture content-arm as a skin characteristic, and the frequency of occurrence thereof. [Figure 15] Fig. 15(A) is a diagram showing the SNP score calculated from SNPs associated with barrier-cheek as a skin characteristic, and the relationship between barrier-cheek. Fig. 15(B) is a diagram showing the SNP score calculated from SNPs associated with barrier-cheek as a skin characteristic, and the frequency of occurrence. [Figure 16] Fig. 16(A) is a diagram showing the relationship between the SNP score calculated from the SNPs associated with the barrier-arm as a skin characteristic and the barrier-arm, and Fig. 16(B) is a diagram showing the SNP score calculated from the SNPs associated with the barrier-arm as a skin characteristic and the frequency of occurrence. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] The present invention relates to a method for detecting a SNP associated with a skin characteristic, A process for determining skin characteristics based on the detected SNPs The present invention relates to a method for determining skin characteristics, comprising: 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 selected from the group consisting of:

[0016] In the present invention, SNPs are represented by rs numbers (Reference SNP ID numbers). Detailed information (chromosomal location and mutation) of SNPs corresponding to each rs number is managed by the National Center for Biotechnology Information (NCBI) and can be referred to on the NCBI homepage (http: / / www.ncbi.nlm.nih.gov / ).

[0017] The detection of SNP may be performed by any known method. As an example, the subject's nucleic acid is purified from a biological sample of the subject, such as saliva, blood, mucous membrane, tissue fragment, hair, etc., based on a standard method, and SNP is detected in the purified nucleic acid. 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 can be used as long as it allows the detection of SNP in purified nucleic acid. SNP can be detected by determining the sequence around the position of the target SNP, or by using a PCR-based method, a method using a DNA probe, or a method using mass spectrometry. Examples of PCR-based methods include SNP typing, TaqMan PCR, single-base extension, Pyrosequencing, and Exonuclease Cycling Assay. An example of a method using a DNA probe is the Invader method (Comprehensive Gene Polymorphism Analysis (SNP), Japanese Journal of Pharmacology, 125, 148-152, 2005). SNPs may be accompanied by other SNPs in linkage disequilibrium. The target SNP can be detected by detecting an SNP in linkage disequilibrium with the target SNP. Therefore, in the present invention, detection of an SNP is not limited to direct detection of the target SNP, but also includes detection of the target SNP by detecting an SNP in linkage disequilibrium.

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

[0019] The subject whose skin characteristics are detected by the present invention may be of any race. However, since the type and abundance of SNPs may vary between races, it is preferable to specify the race and then specify SNPs. In particular, when detecting skin characteristics related to human skin color, the target race is preferably yellow (Mongoloid).

[0020] The skin characteristics can be determined for at least one selected from the group consisting of skin shape characteristics, skin type, and skin color characteristics. The relationship between the SNP and these skin characteristics may be such that the presence of the SNP in a heterozygous or homozygous state has a negative or positive effect on these skin characteristics. The SNP score can be calculated based on the number of SNPs that have a negative effect and the number of SNPs that have a positive effect. As an example, the SNP score can be calculated by subtracting the number of SNPs that have a negative effect from the number of SNPs that have a positive effect. As another example, the SNP score may be calculated in the reverse manner, that is, by subtracting the number of SNPs that have a positive effect from the number of SNPs that have a negative effect. By previously determining the relationship between the skin characteristics and the SNP score, the skin characteristics of the subject can be determined based on the calculated SNP score.

[0021] If the skin characteristic is a skin shape characteristic, the following: 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 rs1801133, 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. When the skin shape characteristic is wrinkles, at least one SNP selected from the group consisting of: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017, and rs964184 is used. When the skin shape characteristic is texture, at least one SNP selected from the group consisting of: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, and rs7799039 is used.When the skin shape 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 the SNPs exist is as follows. [Table 1] Among these SNPs, when an SNP whose above-mentioned effect is indicated as negative (-) is present in a heterozygous or homozygous state, it can be determined that the individual is less susceptible to wrinkles, whereas when an SNP whose above-mentioned effect is indicated as positive (+) is present in a heterozygous or homozygous state, it can be determined that the individual is more susceptible to wrinkles.

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

number

number

number

[0023] If the skin characteristic is a skin color characteristic, 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. The skin color characteristic can be further subdivided into skin tone, skin color in UV-exposed areas, spots, brightness, and yellowness. When the skin color characteristic is skin tone, 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 ultraviolet-exposed parts of the skin, at least one SNP selected from the group consisting of: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201, and rs74653330 is used.When the skin color characteristic is blemishes, the following are included: 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 rs1540771, 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 lightness, at least one SNP selected from the group consisting of: rs2285053, rs6058017, rs74653330, rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs9340799 is used. When the skin color characteristic is yellowish, at least one SNP selected from the group consisting of: 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 traits and the genes in which they reside is as follows: [Table 2]

[0025] Among these SNPs, the SNPs whose effects are indicated as negative (-) can be determined to have a tendency to decrease the respective measured values ​​of the skin color characteristics when present in a heterozygous or homozygous state, while the SNPs whose effects are indicated as positive (+) can be determined to have a tendency to increase the respective measured values ​​of the color characteristics when present in a heterozygous or homozygous state. The skin color characteristics can be further subdivided into age spots (age spots, average age spot area), melanin amount (facial cheek melanin, upper arm inner melanin), skin color (cheek brightness, cheek yellowness), etc. according to the above table. When an SNP whose effects are indicated as positive for age spots is present in a heterozygous or homozygous state, age spots tend to be easily formed and their size tends to be large. When an SNP whose effects are indicated as positive for melanin amount is present in a heterozygous or homozygous state, the amount of melanin tends to be large. When an SNP whose effects are indicated as positive for skin color is present in a heterozygous or homozygous state, the skin color tends to be darker.

[0026] More specifically, for age spots, if a SNP marked negative (-) is present, the age spots tend to become lighter, and if a SNP marked positive (+) is present, the age spots tend to become darker. For the average age spot area, if a SNP marked negative (-) is present, the average age spot area tends to become narrower, and if a SNP marked positive (+) is present, the average age spot area tends to become wider. For facial cheek melanin and upper arm inner melanin, if a SNP marked negative (-) is present, the amount of melanin tends to decrease, and if a SNP marked positive (+) is present, the amount of melanin tends to increase. For cheek brightness, if a SNP marked negative (-) is present, the brightness of the cheeks tends to become darker, and if a SNP marked positive (+) is present, the brightness of the cheeks tends to become brighter. For cheek yellow, if a SNP marked negative (-) is present, the yellowness tends to become lighter, and if a SNP marked positive (+) is present, the yellowness tends to become darker.

[0027] Age spots are pigmentation that occurs mainly on the face. The main cause of age spots is ultraviolet light, which increases the activity of melanocytes, resulting in increased melanin production compared to other parts of the body. In addition to ultraviolet light, stress, lack of sleep, and imbalance of female hormones also affect the formation of age spots. Age spots include inflammatory pigmentation, senile lentigo, liver spots, and ovules. The average age spot area indicates the size of age spots when they occur. Age spots may be determined visually or by any other method, but as an example, the age spot index value can be determined using an instrument such as Visia Evolution.

[0028] The inner upper arm is an area that is less susceptible to the effects of ultraviolet rays. Therefore, SNPs related to the amount of melanin on the inner upper arm indicate a genetic tendency for the base color of the skin, in other words, the color of the skin when not affected by ultraviolet rays. For example, a subject who genetically has a high amount of melanin on the inner upper arm is said to have a dark base color of skin. On the other hand, the face is an area that is constantly exposed to ultraviolet rays. Therefore, SNPs related to the amount of melanin on the face indicate the susceptibility to darkening due to the effects of ultraviolet rays.

[0029] The brightness and yellowness of the cheeks are related to dullness of the skin. 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] An example of an SNP score for determining skin color characteristics is represented by the following formula, and skin color characteristics can be determined based on such SNP scores.

number

number

number

number

number

number

[0031] If the skin characteristic is 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 rs8017, 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 amount, moisture amount, and skin barrier function. When the skin type is sebum amount, at least one SNP selected from the group consisting of: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017 and rs964184 is used. When the skin type is moisture content, at least one SNP selected from the group consisting of: rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201, and rs9340799 is used.When the skin type is a 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 subdivided into sebum amount, moisture amount (cheeks, arms), and skin barrier function (cheeks, arms) according to the table above. Regarding sebum amount, skin with high sebum amount measurements and skin that tends to have low sebum amount measurements are referred to as skin with high moisture amount measurements. Regarding moisture amount, good skin quality means high moisture amount, and poor skin quality means low moisture amount. Regarding skin barrier function, moisture evaporation amount is measured, and skin that tends to have high moisture amount values ​​is referred to as skin with low skin barrier function, and skin that tends to have low moisture evaporation amount is referred to as skin with high skin barrier function.

[0032] The SNP score associated with skin function determination is represented by the following formula, and skin function can be determined based on such SNP score. 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 invention, the invention relates to a computer for determining skin characteristics. Such a computer is capable of carrying out the above-mentioned method for determining skin characteristics. In a further aspect of the invention, the invention also relates to a method or a program for controlling a computer for determining skin characteristics of the invention, as well as a storage medium for storing said program. The computer of the invention comprises a storage unit, an input unit, an output unit and a processing unit.

[0034] The storage unit may include a memory device such as a RAM, a ROM, or a flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk or an optical disk. The storage unit stores data and instructions input from the input unit, the results of arithmetic processing performed by the processing unit, as well as programs and databases used for various computer processes. The computer program may be installed from a computer-readable recording medium such as a CD-ROM or a DVD-ROM, or via the Internet. The computer program is installed in the storage unit using a known setup program or the like. In the present 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 , rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information on skin characteristics associated with the SNP. The information on these SNPs may further include information on SNPs in linkage disequilibrium with the SNP. The information on SNPs includes sequence information, and the information on skin characteristics associated with SNPs includes the type and effect of skin characteristics, SNP score, and a multiplier in the case of a homozygous state.

[0035] The input unit includes an interface. The interface may be connected to an operation unit such as a keyboard or a mouse, a communication unit such as a LAN or a port, or an external storage device such as a CD-ROM, a DVD-ROM, a BD-ROM, or a memory stick. Information about SNPs and information about skin characteristics associated with the SNPs may be input from the input unit and stored in the storage unit. Furthermore, sequence information of the subject is input from the input unit. The input sequence information may be temporarily stored in the storage unit or may be sent directly to the processing unit. The sequence information of the subject may be the entire genome sequence of the subject, or may be only a partial sequence of interest. An instruction for processing in the processing unit can be given from the input unit via the operation unit.

[0036] The processing unit detects the presence of SNP in the sequence information of the subject. More specifically, the processing unit can detect the presence of SNP in the sequence information of the subject from the sequence information of SNP stored in the storage unit and the sequence information of the subject input from the input unit. The presence of SNP can be detected by comparing the sequence information of SNP stored in the storage unit with the sequence information of the subject input from the input unit, or by searching the sequence information of SNP stored in the storage unit in the sequence information of the subject input from the input unit. The processing unit executes various arithmetic processing according to the program stored in the storage unit. The arithmetic processing is performed by a CPU included in the processing unit. This CPU includes a functional module that controls the input unit, the storage unit, and the output unit, and can perform various controls. Each of these units may be composed of an independent integrated circuit, a microprocessor, firmware, or the like. Information about the presence of SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit can read out information on skin characteristics related to the SNP from the storage unit based on the presence of the SNP from the storage unit as it is. In addition, when multiple SNPs are present, the SNP score can be calculated based on the SNP information. Next, the processing section processes the read-out information on skin characteristics so as to output it from the output section.

[0037] The output unit is configured to output the skin characteristic information and / or SNP score stored in the storage unit for the SNP detected by the arithmetic processing performed by the data processing unit. The output unit may be an output means such as a display device such as a liquid crystal display that directly displays the results of the arithmetic processing, or a printer, or may be 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 the output unit are each connected to a network via an interface unit. In this case, genome information and partial genome sequence information can be provided from individual terminals connected to the network, and the provided sequence information can be processed in the server to detect the presence of SNPs, determine skin characteristics, and output the determined skin characteristics to the terminal.

[0039] Although skin characteristics can be determined by detecting a single SNP, it is preferable to detect multiple SNPs to determine skin characteristics in terms of achieving higher sensitivity.In order to determine skin characteristics based on the detection of multiple SNPs, for example, the SNP is determined by determining whether the SNP has a positive or negative effect on the skin characteristics, and by assigning points according to the presence of the SNP, the SNP score is calculated.By determining the relationship between the SNP score and the skin characteristics in advance, the 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 the SNP information obtained from 200 volunteers and the relationship with skin characteristics (FIGS. 3 to 16). These SNP scores vary depending on the population and the SNP selected. Although not intended to be limiting, for example, with regard to wrinkles, it can be determined that wrinkles are likely to occur due to aging when the SNP score is 2 or more, more preferably 3 or more. For example, with regard to age spots, it can be determined that age spots are likely to occur due to an SNP score of 2 or more, more preferably 4 or more. For example, with regard to texture, it can be determined that texture is likely to deteriorate due to aging when the SNP score is 2 or more, more preferably 3 or more.

[0041] When skin characteristics are determined by the skin characteristic determination method of the present invention, counseling can be performed based on information about such 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. As an example, among skin color characteristics, the amount of melanin in the upper arm is related to the original skin color of the person, and the amount of melanin in the face is related to the skin color affected by ultraviolet rays. Therefore, it can be determined that a subject who is prone to low melanin amounts in the upper arm and high melanin amounts in the face through SNP analysis is a subject who is fair-skinned but is susceptible to the effects of ultraviolet rays and therefore requires more care against ultraviolet rays. For such subjects, it is possible to propose lifestyle habits that avoid ultraviolet rays and to propose the use of cosmetics containing stronger ultraviolet protection agents.

[0042] In the case where it is judged that wrinkles are likely to occur, cosmetics or supplements containing ingredients capable of enhancing the production of collagen fibers such as collagen and elastin and elastic fibers and / or inhibiting the decomposition of elastic fibers, such as matrix metalloproteinase inhibitors, can be provided. Such ingredients include extracellular matrix decomposition inhibitors, such as matrix metalloproteinase inhibitors, and more specifically collagenase inhibitors. Specific ingredients include retinol, winged bean extract, mangosteen extract, etc. (Usefulness of cosmetics: Progress and future prospects of evaluation technology, Yakuji Nipposha, (2001) Section 7, Wrinkle-resistant cosmetics, pp. 162-177).

[0043] If it is determined that the skin is prone to problems related to skin color characteristics such as age spots, cosmetics or supplements containing ingredients that have UV protection, melanin production inhibition, and / or keratin turnover promotion effects can be provided. Examples of such ingredients include UV protection agents, vitamin C derivatives, hydroquinone, tranexamic acid, potassium 4-methoxysalicylic acid, arbutin, kojic acid, rucinol, vitamin C derivatives, etc. (Usefulness of Cosmetics: Progress and Future Prospects of Evaluation Technology, Yakuji Nipposha, (2001), Section 6, Whitening Cosmetics, pp. 144-161). Also, appropriate makeup bases, cosmetics, and makeup methods can be proposed.

[0044] When skin functions such as texture, firmness, sebum, moisture content, and skin barrier function are judged to be poor, cosmetics and supplements containing ingredients that can improve skin functions can be provided. Skin texture improvers, sebum reducers, moisture content increase promoters, and skin barrier function improvers are known. 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, comprising: 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 a SNP in linkage disequilibrium therewith. Such a kit may further include a nucleic acid extraction reagent and a purification reagent. Also, the kit may include an instruction manual explaining the relationship between the detected SNP and a skin condition.

[0046] An example of such a nucleic acid reagent includes a primer capable of selectively amplifying an SNP, a DNA polymerase, dNTPs, and optionally an amplification buffer. The primer capable of amplifying an SNP 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 a nucleic acid probe may be an unfixed probe, or may be fixed on a DNA chip, so that multiple SNPs can be detected simultaneously. Such a nucleic acid probe may be labeled so that a specific SNP can be detected.

[0048] All documents mentioned herein are incorporated by reference in their entirety.

[0049] The following examples of the present invention are for illustrative purposes only and do not limit the technical scope of the present invention. The technical scope of the present invention is limited only by the claims. The present invention can be modified, for example, by adding, deleting, and replacing the constituent elements of the present invention, without departing from the spirit of the present invention. EXAMPLES

[0050] Skin characteristic measurement Skin characteristics were measured for 200 female volunteers aged 35-59 years old, including skin wrinkles, age spots, skin color (facial melanin amount, scalp (inner upper arm) melanin amount, brightness, yolk), and skin condition (moisture content, barrier function, sebum amount, firmness, texture). Each measurement was performed using Visia Evolution (Canfield Scientific) for wrinkles and age spots, and wrinkle and age spots index values ​​were calculated from the captured images using a dedicated analysis method and used for analysis. Skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), and the amount of melanin on the face and cheeks, brightness (L * -Colorimetric value), yellow (b *The skin color of the inside of the upper arm, an area not exposed to sunlight, was also measured, and the amount of melanin was calculated. Special commercially available devices were used to measure the stratum corneum moisture content (Corneometer), transepidermal water loss (barrier function) (Vapometer), sebum content (Sebumeter), and firmness (Cutometer), while the skin texture was measured using Skinvisiom II, an original measuring device, and specialized analysis software to measure the degree of texture irregularity.

[0051] Genetic analysis (SNP genotyping) Saliva was used as a genetic analysis sample. Saliva was collected using Oragene (registered trademark) DNA OG-500 (DNA Genotek Inc.), and DNA was stabilized. DNA was purified from the saliva, and SNP genotyping was performed using a DNA array to obtain information on preselected SNPs. The SNPs to be analyzed were selected from those that were expected to affect skin characteristics based on past dermatological findings.

[0052] Statistical processing method The association between skin characteristic values ​​and SNP genotypes was determined by multiple comparisons, multiple regression analysis, statistical analysis of odds ratios, and case and control analysis with prediction intervals set by the optimal regression model. Furthermore, the association between multiple SNP genes related to skin characteristics was evaluated by performing structural analysis of covariance (SEM) and decision tree analysis, and an attempt was made to index the effect of SNP genes on skin characteristic values.

[0053] Multiple comparison analysis For pairs of skin characteristic values ​​and gene SNPs, we analyzed which gene type SNPs caused the difference in the distribution of skin characteristic values, and performed multiple comparison tests using Tukey multiple comparisons for quantitative data. For qualitative data, we applied chi-square 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 The results of the simple regression analysis showed that many of the characteristic values ​​were correlated with age (data not shown). Therefore, in order to separate the effects of aging and genetics, a multiple regression analysis was performed with genetic factors and age (numerical value) as variables. For relationships in which the coefficient of genetic factors was significant, the standard partial regression coefficient and p-value were calculated. SNPs with a positive sign for the standard partial regression coefficient indicate that the presence of a mutation increases the skin characteristic value, while negative signs indicate that the mutation decreases the skin characteristic value. The SNPs selected in the multiple regression analysis are shown in Table 5 below.

[0055] [Table 5]

[0056] Odds ratio A threshold was set, and the skin characteristic data was divided into two groups and combined with the SNP genotype to create a contingency table. Since the skin characteristic values ​​change with age, the threshold also changed with age. Here, the top 1 / 4 of the skin characteristic values ​​in a certain age range were set as the high group, and the bottom 1 / 4 were set as the low group, and a comparison was made between these two groups. The selection criteria for the control group and the risk group were that if the skin characteristic value increases with age, the increased group was set as the risk group, and conversely, if it decreases, the decreased group was set as the risk group. For each SNP, samples of two genotypes were selected, and a 2 x 2 contingency table of the control group and the risk group was created and a statistical test was performed. In the selection of the control group and the risk group, "same age" was defined as the subject's own age ± 5 years. The combinations of skin characteristic values ​​and SNPs that were significant in the Fisher exact test among the odds ratios of the wild type and the heterozygous or homozygous types are shown in Table 6 below.

[0057] [Table 6]

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

[0059] Analysis steps (1) Define the model. (2) Estimate model parameters (population variables) to maximally explain the variance structure of the sample data. (3) Check the model's goodness-of-fit index (an index showing the extent to which the variance structure of the sample data can be explained). (4) Check the size and reliability (p-value) of the model parameters. (5) If the fit and parameters are good, the analysis ends. (6) If there were model variables with good fit but low reliability, the analyses (1) to (4) were performed using a model excluding those variables and compared. If the goodness of fit was poor, the model was improved based on the modification index (an index showing what relationship should be added to the model to improve the goodness of fit), and 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 objective variable, and the splitting conditions were determined to minimize the ratio of the between-class variance to the within-class variance of the objective variable for the two separated groups. Since age was included as a splitting factor, analysis by age group was not performed, and modeling was performed for all samples. The model variables are (1) Objective variable (dependent variable): Skin characteristic value (continuous value) (2) Explanatory variables (independent variables): Age group in 5-year increments, SNP polymorphism It was decided. Analysis steps (1) Determine the combination of objective variables (skin characteristic values) and explanatory variables (SNPs). (2) Decision tree analysis continues to divide the tree so that the complexity parameter (CP) becomes smaller. Initially, the analysis is performed under the condition that the division 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, data is divided into n sets, and a decision tree is created using n-1 of those sets, and the remaining set of data is discriminated and the resulting error rate is calculated. The test data is swapped and evaluated n times. (4) The Min+1SE method was adopted as the stopping criterion. (5) The tree created up to the division point of the stopping condition was considered as a decision tree.

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

[0062] Consideration of indexation From the results of the analysis so far, we have investigated how to index the effect of SNPs on skin characteristic values. The relationship between SkinXX and SnpYY discussed in this section was simply counted as points. An increase factor is +1, and a decrease factor is -1. The SNPs shown below were selected for each characteristic value, and the score calculation formula, frequency distribution of the scores, and box plots 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 spots Among the skin characteristics, the analysis of blemishes was performed using the following formula:

number

[0065] Analysis of average age spots area Among the skin characteristics, the average area of ​​spots was analyzed using the following formula:

number

[0066] Facial cheek melanin analysis Among the skin characteristics, the analysis of facial cheek melanin was performed using the following formula:

number

[0067] Melanin analysis on the inner upper arm Among the skin characteristics, the analysis of melanin on the inside of the upper arm was performed using the following formula:

number

[0068] Cheek Brightness Analysis Among the skin characteristics, the brightness of the cheeks was analyzed using the following formula:

number

[0069] Analysis of yellow cheeks Among the skin characteristics, the analysis of the yellowness of the cheeks was performed using the following formula:

number

[0070] Wrinkle Analysis Among the skin characteristics, wrinkles were analyzed using the following formula:

number

[0071] Texture Analysis Among the skin characteristics, the analysis of texture was carried out using the following formula:

number

[0072] Beam Analysis Among the skin characteristics, the analysis of elasticity was carried out using the following formula:

number

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

number

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

number

[0075] Moisture - Arm Analysis Among the skin characteristics, the moisture content of the arms was analyzed using the following formula:

number

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

number

[0077] Barrier-Arm Analysis Among the skin characteristics, the barrier-arm analysis was performed using the following formula:

number

[0078] Case-control analysis with prediction intervals set using the best fit regression model 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, it was analyzed which genotype SNPs caused the distribution of skin characteristic values ​​to differ. 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 prediction interval of the standard deviation (σ) was determined. The sample group that fell outside the upper part of the width prediction interval was set as the high value group, and the sample group that fell outside the lower part was set as the low value group. The high value group and the low value group were set as "cases" and the rest as "controls," and the chi-square test was applied, and the selected SNPs are shown in Table 11 below. The effect of SNPs was detected in two ways: dominant (overt) and recessive (latent). Dominant was set as (wild + hetero) vs. homo, and recessive was set as wild vs. (hetero + homo). [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 detecting at least one SNP selected from the group consisting of rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748; A process for determining skin characteristics based on the detected SNPs A method for determining skin characteristics, comprising: [2] The method according to item 1, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin type, and skin color characteristics. [3] The skin characteristic is a skin shape characteristic, and the SNP is one of the following: rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs10 30868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, 3. The method of claim 2, wherein the amino acid sequence is 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 method according to item 3, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture, and firmness. [5] The method of determining skin shape characteristics according to Item 3, wherein the SNP is selected from the group consisting of rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017, and rs964184, when the skin shape characteristic is wrinkles. [6] The method of determining skin shape according to Item 3, wherein when the skin shape characteristic is texture, the SNP is selected from the group consisting of: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, and rs7799039. [7] The method of determining skin shape according to Item 3, wherein when the skin shape characteristic is firmness, the SNP is selected from the group consisting of: rs1256062, rs3760776, rs12931267, and rs2285053, rs1030868, rs10741657, rs11568737, rs1540771, rs1799724, rs1800012, rs1801133, rs1993116, rs2060793, rs2228479, rs2232228, rs2241145, rs2287074, rs41281112, rs492602, and rs8326. [8] The skin characteristic is skin type, and the SNPs are: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41 3. The method of claim 2, wherein the selected nucleic acid sequence is selected from the group consisting of rs281112, 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 of determining skin type according to item 8, wherein the skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[10] The method of determining skin type according to Item 9, wherein when the skin type is sebum amount, the SNP is selected from the group consisting of: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017, and rs964184.

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

[12] The method of determining skin quality according to Item 9, wherein when the skin quality is skin barrier function, the SNP is 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.

[13] The skin characteristic is a skin color characteristic, and the SNPs are: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs129138 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 according to item 13, wherein the skin color characteristic is selected from the group consisting of skin background color, skin color in ultraviolet-exposed areas, spots, brightness, and yellowness.

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

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

[17] When the skin color characteristic is pigmentation, the SNPs are: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs11057830, rs11234027, rs12272004, rs1256062, rs1485766, rs15012 99, rs1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, rs964184.

[18] The method of claim 14, wherein when the skin color characteristic is lightness, 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 method of claim 14, wherein when the skin color characteristic is 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 according to any one of items 1 to 19.

[21] A method for providing a cosmetic, comprising selecting a cosmetic in accordance with the skin characteristics determined by the method according to any one of items 1 to 19.

[22] A method for providing a supplement, comprising selecting a supplement according to skin characteristics determined by the method according to any one of items 1 to 19.

[23] A computer for determining skin characteristics comprising: 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 memory 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 the SNP; An input section for inputting the user's DNA information; a processing unit for detecting the presence of the stored SNPs in the input DNA information; An output section that outputs information on skin characteristics related to the detected SNPs Including, a computer.

[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 type, and skin color characteristics.

[26] The skin characteristic is a skin shape characteristic, and the SNP is one of the following: 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 26. The computer according to item 25, wherein the nucleic acid sequence is 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.

[27] The computer according to item 26, wherein the skin shape characteristics are selected from the group consisting of wrinkles, texture, and firmness.

[28] The skin characteristic is skin type, and the SNP is one of: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653 330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs60 58017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs964184.

[29] The computer according to item 28, wherein the skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[30] The skin trait is a skin color trait, and the SNP is one of: 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 26. The method of claim 25, wherein the selected amino acid sequence is 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 according to item 30, wherein the skin color characteristic is selected from the group consisting of skin background color, skin color in ultraviolet-exposed areas, spots, brightness, and yellowness.

[32] The storage unit further stores information on skin characteristics, a list of cosmetics and supplements suitable for the skin characteristics, and advice on lifestyle improvements required for people with the skin characteristics, The computer according to any one of items 23 to 31, which outputs, in addition to the information on skin characteristics, cosmetics and supplements suitable for the skin information, as well as advice on lifestyle improvements required for people with the skin characteristics.

[33] A program for controlling a computer for determining skin characteristics, the computer comprising a storage unit, an input unit, a processing unit, and an output unit, the program comprising: 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 on at least one SNP selected from the group consisting of rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information on skin characteristics associated with the SNP, The user's DNA information is entered into the input section. causing a processing unit to detect the presence of the stored SNPs in the input DNA information; outputting information on skin characteristics associated with the detected SNPs to an output unit; The said program.

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

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

[36] The skin characteristic is a skin shape characteristic, and the SNP is one of the following: 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 36. The program according to item 35, wherein the nucleic acid sequence is 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.

[37] The program according to item 36, wherein the skin shape characteristics are selected from the group consisting of wrinkles, texture, and firmness.

[38] The skin characteristic is skin type, and the SNP is one of: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653 330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs60 36. The program according to item 35, wherein the nucleic acid sequence is selected from the group consisting of rs58017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184.

[39] The program according to item 38, wherein the skin type is selected from the group consisting of sebum amount, moisture amount, and skin barrier function.

[40] The skin characteristic is a skin color characteristic, and the SNPs are: 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, 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] The program according to item 40, wherein the skin color characteristics are selected from the group consisting of skin base color, skin color in ultraviolet-exposed areas, spots, 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 80, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748.

[43] The kit of item 42, further comprising a nucleic acid extraction and purification reagent.

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

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

Claims

1. below: rs1107946, rs1256062, rs1799750, rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1 2785878, rs12931267, rs1501299, rs17822931, 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 detecting at least one SNP selected from the group consisting of rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748; A step of determining skin characteristics based on the detected SNPs A method for determining skin characteristics, comprising:

2. The method of 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 of ultraviolet-exposed areas of the skin.

3. The skin characteristics are skin shape characteristics related to wrinkles and texture, and the SNPs are any of the following: The method of claim 2, wherein the nucleotide sequence is selected from the group consisting of rs1107946, rs1256062, and rs1799750.

4. 3. The method of claim 2, wherein when the skin characteristic is skin quality related to skin barrier function, the SNP is selected from the group consisting of rs1107946, rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830 rs1030868, rs10515552, rs1061622, rs10882272, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs74653330, rs7799039, rs8110862, and rs9340799.

5. Skin color characteristics relating to skin color and yellowness of ultraviolet-exposed areas of skin, The method of claim 2, wherein the nucleotide sequence is selected from the group consisting of rs1107946, rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, rs2246416, rs1107946, and rs74653330.

6. A counseling method based on skin characteristics determined by the method according to any one of claims 1 to 5.

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

8. A method for providing a supplement, comprising selecting a supplement according to skin characteristics determined by the method according to any one of claims 1 to 19.

9. 1. A computer for determining skin characteristics, comprising: rs1107946, rs1256062, rs1799750, rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1278 5878, rs12931267, rs1501299, rs17822931, 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 memory unit that 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, and information about skin characteristics associated with the SNP; an input unit for inputting the user's DNA information; a processing unit that detects the presence of the stored SNP in the input DNA information; An output unit that outputs information about skin characteristics related to the detected SNPs Including, computers.

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

11. 11. The computer of 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, the computer comprising a storage unit, an input unit, a processing unit, and an output unit, the program comprising: rs1107946, rs1256062, rs1799750, rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1278 5878, rs12931267, rs1501299, rs17822931, 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 about at least one SNP selected from the group consisting of rs1667255, rs12913832, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748, and information about skin characteristics associated with the SNP are stored in a storage unit; The user's DNA information is entered through the input section. causing the processing unit to detect the presence of the stored SNPs in the input DNA information; causing an output unit to output information on skin characteristics associated with the detected SNPs; The 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. 14. The program according to claim 12 or 13, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin type, and skin color characteristics.

Images