JP2024028854A - Method for analyzing skin characteristics - Google Patents

Abstract

PROBLEM TO BE SOLVED: 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

COPYRIGHT: (C)2024,JPO&INPIT

Description

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

Skin characteristics vary greatly from person to person, and in order to provide cosmetics that suit each individual's skin characteristics, conventional counseling has mainly been performed on an individual basis. Counseling has been performed based on the results of customer self-diagnosis questionnaires and objective information about the skin, such as information about texture, skin barrier function, moisture content, elasticity, and viscosity measured by equipment.

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 devices merely quantifies the condition of the skin at the time of the test, which can change on a daily basis, making it difficult to predict skin problems that may occur in the future.

If skin problems that may occur in the future can be predicted in advance, preventive measures can be taken, which is extremely useful.

In recent years, skin tests based on genetic SNP analysis have been proposed, and the relationship between SNPs and skin quality has been studied, particularly for genes encoding proteins that are directly involved in skin quality (Patent Documents 1 to 4) ). As a result, methods have been provided for predicting skin characteristics and skin troubles based on SNP analysis results. In these studies, SNPs are investigated in 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 investigate the relationship between SNPs in more genes and skin characteristics.

Japanese Patent Application Publication No. 2006-191858 Japanese Patent Application Publication No. 2015-73503 Japanese Patent Application Publication No. 2013-226096 Japanese Patent Application Publication No. 2011-234664 Japanese Patent Application Publication No. 2014-193155 Japanese Patent Application Publication No. 2014-45729

Comprehensive genetic polymorphism analysis (SNP) Japanese Pharmacological Journal (2005), 125, pp. 148-152

The purpose of this study is to investigate the relationship between previously unknown SNPs and skin characteristics, and to develop a method to determine skin characteristics with higher reliability.

The present inventors attempted statistical analysis of the association with skin characteristics in 200 subjects, targeting SNPs in a wider range of proteins, as well as proteins that have been known to be associated with skin characteristics. . As a result, SNPs related to skin characteristics, particularly wrinkles, skin color, and skin functions, were identified, leading to the present invention.

Therefore, the present invention provides the following inventions:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Detecting at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748;
The present invention relates to a method for determining skin characteristics, including a step of determining skin characteristics based on detected SNPs.

In yet another aspect, the invention provides a computer for determining skin characteristics, comprising:
below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Information regarding at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748, and information related to the SNP a memory unit that stores information on skin characteristics;
an input section for inputting the user's DNA information;
a detection unit that detects the presence of the stored SNP in the input DNA information;
The present invention relates to a computer including an output unit that outputs information on skin characteristics related to detected SNPs. A further aspect of the present invention relates to a method and/or a control program for controlling such a computer, and also to a storage medium storing such a control program.

The invention further relates to a method for determining skin characteristics and a method for providing cosmetics, supplements and/or beauty treatments based on skin characteristics determined by a computer that determines skin characteristics.

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

FIG. 1 is a diagram showing the flow of processing by a program that controls a computer that determines skin characteristics. FIG. 2 is a block diagram of a computer that determines skin characteristics. FIG. 3(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with age spots as skin characteristics and age spots. FIG. 3(B) is a diagram showing SNP scores calculated from SNPs associated with age spots as skin characteristics and their frequency of appearance. FIG. 4(A) is a diagram showing the relationship between the SNP score calculated from SNPs associated with the average area of spots as a skin characteristic and the average area of spots. FIG. 4(B) is a diagram showing SNP scores calculated from SNPs related to the mean area of spots as skin characteristics and their frequency of appearance. FIG. 5(A) is a diagram showing the relationship between the SNP score 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 related to facial cheek melanin as skin characteristics and their frequency of appearance. FIG. 6(A) is a diagram showing the relationship between the SNP score calculated from SNPs associated with melanin on the inner side of the upper arm as a skin characteristic and melanin on the inner side of the upper arm. FIG. 6(B) is a diagram showing SNP scores calculated from SNPs associated with melanin on the inner side of the upper arm as skin characteristics and their frequency of appearance. FIG. 7(A) is a diagram showing the relationship between the SNP score calculated from SNPs associated with the brightness of the cheeks as a skin characteristic and the brightness of the cheeks. FIG. 7(B) is a diagram showing SNP scores calculated from SNPs associated with cheek brightness as a skin characteristic and their frequency of appearance. FIG. 8(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with yellow cheeks as skin characteristics and yellow cheeks. FIG. 8(B) is a diagram showing SNP scores calculated from SNPs associated with yellow cheeks as a skin characteristic and their frequency of appearance. FIG. 9(A) is a diagram showing the relationship between wrinkles and SNP scores calculated from SNPs associated with wrinkles as skin characteristics. FIG. 9(B) is a diagram showing SNP scores calculated from SNPs associated with wrinkles as skin characteristics and their frequency of appearance. FIG. 10(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with texture as skin characteristics and texture. FIG. 10(B) is a diagram showing SNP scores calculated from SNPs associated with texture as skin characteristics and their frequency of appearance. FIG. 11(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with firmness as skin characteristics and firmness. FIG. 11(B) is a diagram showing SNP scores calculated from SNPs associated with acupuncture as skin characteristics and their frequency of appearance. FIG. 12(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with sebum and forehead as skin characteristics and sebum and forehead. FIG. 12(B) is a diagram showing SNP scores calculated from SNPs related to sebum and forehead as skin characteristics and their frequency of appearance. FIG. 13(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with moisture content-cheeks as skin characteristics and moisture content-cheeks. FIG. 13(B) is a diagram showing SNP scores calculated from SNPs related to moisture content and cheeks as skin characteristics and their frequency of appearance. FIG. 14(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with moisture content and arms as skin characteristics and moisture content and arms. FIG. 14(B) is a diagram showing SNP scores calculated from SNPs associated with moisture content and arms as skin characteristics and their frequency of appearance. FIG. 15(A) is a diagram showing the relationship between SNP scores calculated from SNPs associated with barrier cheeks as skin characteristics and barrier cheeks. FIG. 15(B) is a diagram showing SNP scores calculated from SNPs associated with barrier cheeks as skin characteristics and their frequency of appearance. FIG. 16(A) is a diagram showing the relationship between the SNP score calculated from SNPs associated with the barrier arm as a skin characteristic and the barrier arm. FIG. 16(B) is a diagram showing SNP scores calculated from SNPs associated with the barrier arm as skin characteristics and their frequency of appearance.

The present invention includes a step of detecting SNPs associated with skin characteristics;
The present invention relates to a method for determining skin characteristics, including a step of determining skin characteristics based on detected SNPs. Here, the following SNPs are associated with skin characteristics:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 67255, rs12913832, and rs4654748
At least one SNP selected from the group consisting of:

In the present invention, SNPs are indicated by rs numbers (Reference SNP ID numbers). Detailed information on SNPs (chromosomal locations and mutations) corresponding to each RS number is managed by the U.S. National Center for Biotechnology Information (NCBI) and can be found on the NCBI homepage (http://www.ncbi.nlm). Available at nih.gov/).

SNP detection may be performed by any known method. As an example, a subject's nucleic acid is purified from a subject's biological sample, such as saliva, blood, mucous membrane, tissue piece, hair, etc., based on a standard method, and SNPs are 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 detection of SNPs in purified nucleic acids. SNPs can be detected by performing sequencing around the location of the target SNP, or can be detected using a PCR-based method, a method using a DNA probe, or a method using mass spectrometry. You can also do it. Examples of PCR-based methods include SNP typing method, TaqMan PCR method, single base extension method, Pyrosequencing method, and Exonuclease Cycling Assay method. Examples of methods using DNA probes include the Invader method (Comprehensive Genetic Polymorphism Analysis (SNP) Japanese Pharmacological Journal, 125, 148-152, 2005). A SNP may be accompanied by another SNP in linkage disequilibrium. The target SNP can be detected by detecting a SNP that is in linkage disequilibrium with the target SNP. Therefore, in the present invention, SNP detection is not limited to directly detecting a target SNP, but also includes detecting a target SNP by detecting a SNP in linkage disequilibrium. shall be.

Furthermore, the presence of SNPs can also be detected based on the nucleotide sequence of an individual whose sequence has already been determined. In this case, the presence of the SNP can be detected by examining the sequence at the position where the SNP exists within the already determined base sequence data. Therefore, SNP detection 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 input from a terminal via the Internet, the SNP is detected on the server, and the detection result can be output to the terminal via the Internet.

The subject whose skin characteristics are detected according to the present invention may be of any race. On the other hand, since the type and abundance of SNPs can vary between races, it is preferable to identify the race and then identify the SNPs. In particular, when skin characteristics regarding human skin color are detected, the target race is preferably a yellow race (Mongoloid).

As the skin characteristics, at least one selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics can be determined. Regarding the relationship between SNPs and these skin characteristics, the presence of heterozygous or homozygous SNPs may have a negative or positive effect on these skin characteristics. A SNP score can be calculated based on the number of SNPs that act negatively and the number of SNPs that act positively. As an example, the SNP score can be calculated by subtracting the number of SNPs that act negatively from the number of SNPs that act positively. As another example, the SNP score may be calculated by doing the opposite, that is, by subtracting the number of SNPs that act positively from the number of SNPs that act negatively. By determining the relationship between skin characteristics and SNP scores in advance, the skin characteristics of a subject can be determined based on the calculated SNP scores.

これらのＳＮＰのうち、上記作用がネガティブ（－）と表示されているＳＮＰがヘテロ又はホモで存在する場合、シワができにくいと決定することができる一方で、上記作用がポジティブ（＋）と表示されているＳＮＰがヘテロ又はホモで存在する場合、シワができやすいと決定することができる。 If the skin property is a skin shape property, the following:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs 11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112 , rs492602, rs6058017, rs7501331, rs7799039, rs8326, and at least one SNP selected from the group consisting of rs964184 is used. Skin shape characteristics can be further subdivided into wrinkles, texture, and firmness. If the skin shape characteristic is wrinkles, the following: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416 , rs3760776, rs3865188, rs4065, rs6058017, and rs964184 At least one selected SNP can be used. If the skin shape characteristics are textured, the following: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622 , rs2232228, rs3785079, rs3829251, rs7501331, rs7799039 At least one selected SNP can be 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 relationships between these SNPs and the genes in which they exist are as follows.

Among these SNPs, if a SNP with the above effect displayed as negative (-) is present in a heterozygous or homozygous form, it can be determined that wrinkles are less likely to occur, while the above effect is displayed as positive (+). If the SNP is present in a heterozygous or homozygous form, it can be determined that the subject is prone to wrinkles.

一方で、ＳＮＰスコア（シワ）の決定のために選択されたＳＮＰは、任意に除去されてもよい。 The SNP score for wrinkle determination is expressed by the following formula, as an example, and the wrinkle state can be determined based on this SNP score.

On the other hand, the SNPs selected for determining the SNP score (wrinkles) may be arbitrarily removed.

If the skin characteristic is a skin color characteristic, then:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs746 53330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, 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 At least one SNP selected from the group can be used. Skin color characteristics can be further subdivided into skin background color, skin color of UV-exposed areas, age spots, brightness, and yellowness. If the skin color characteristic is skin color, from the following: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 at least one SNP selected from the group is used. If the skin color characteristic is the skin color of the UV-exposed part of the skin, the following: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201, and rs74 From the group consisting of 653330 At least one selected SNP can be used. If the skin color characteristics are spots, the following: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs1105783 0, rs11234027, rs12272004, rs1256062, rs1485766, rs1501299, rs1540771 , rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs60 At least one SNP selected from the group consisting of 58017, rs7201, and rs964184 can be used. When the skin color characteristic is brightness, the following: rs2285053, rs6058017, rs74653330, rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs93407 At least one SNP selected from the group consisting of 99 is used.
If the skin color characteristic is yellowish, the following: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079 , rs492602, rs74653330, rs833061, and rs9340799 At least one SNP selected from the group can be used.

The relationship between SNPs related to skin color characteristics and the genes in which the SNPs exist is as follows:

Among these SNPs, the SNPs whose effects are displayed as negative (-) can be determined to have a tendency to decrease in the respective measured values of skin color characteristics when present in heterozygous or homozygous forms. On the other hand, it can be determined that SNPs whose effects are indicated as positive (+) tend to increase when the respective measured value of the color characteristic is present in heterozygous or homozygous forms. Skin color characteristics are further subdivided into age spots (spots, mean area of spots), amount of melanin (facial cheek melanin, inner upper arm melanin), skin color (brightness of cheeks, yellow cheeks), etc. according to the table above. can do. When a heterozygous or homozygous SNP that is positive for age spots is present, age spots tend to form more easily and their size tends to increase. When a heterozygous or homozygous SNP that is positive regarding the amount of melanin exists, the amount of melanin tends to increase. When a heterozygous or homozygous SNP that is positive for skin color exists, the skin color tends to become darker.

More specifically, with regard to age spots, when a person has a SNP labeled as negative (-), the age spots tend to become lighter, and when they have a SNP displayed as positive (+), their age spots tend to become darker. Regarding the average spot area, when a person has a SNP labeled as negative (-), the average spot area tends to be narrower, and when a person has a SNP labeled as positive (+), the average spot area tends to be wider. Regarding facial cheek melanin and melanin on the inner side of the upper arm, when a person has a negative (-) SNP, the amount of melanin tends to decrease, and when a person has a positive (+) SNP, the melanin amount tends to increase. . Regarding the brightness of the cheeks, if the person has a SNP labeled negative (-), the brightness of the cheeks will be dark, and if the person has a SNP labeled positive (+), the brightness of the cheeks will be bright. Regarding the yellow color of the cheeks, if the person has a SNP labeled as negative (-), the yellow tone tends to be lighter, and if the person has a SNP labeled as positive (+), the yellow tone tends to be more intense.

Age spots refer to pigment deposits that occur mainly on the face. The main cause of age spots is ultraviolet rays, which increase the activity of melanocytes and increase the amount of melanin produced compared to other areas. In addition to UV rays, stress, lack of sleep, and imbalances in female hormones can also affect the formation of age spots. Age spots include inflammatory pigmentation, senile pigment spots, melasma, and sparrow spots. The average stain area indicates the size of stains when they occur. The presence of a stain may be determined visually or by any other method; by way of example, a device such as the Visia Evolution can be used to determine the index value of a stain.

The inner part of the upper arm is not easily affected by ultraviolet rays. Therefore, an SNP related to the amount of melanin on the inner side of the upper arm indicates a genetic tendency for the background color of the skin, in other words, the color of the skin without the influence of ultraviolet rays. For example, a subject who genetically has a large amount of melanin on the inside of the upper arm can be said to have dark skin. On the other hand, the face is always affected by ultraviolet rays. Therefore, the SNP regarding the amount of melanin in the face indicates the susceptibility to darkening due to the influence of ultraviolet rays.

Cheek brightness and yellowness are associated with skin dullness. Causes of dullness include the amount of melanin, blood circulation, dryness, and aging (denaturation of proteins such as glycation and carbonylation). The brightness and yellowness of the cheeks can be measured using a spectrophotometer.

一方で、ＳＮＰスコアの決定のために選択されたＳＮＰは、任意に除去されてもよい。 The SNP score for determining the skin color characteristic is expressed by the following formula, for example, and the skin color characteristic can be determined based on this SNP score.

On the other hand, the SNPs selected for determining the SNP score may be optionally removed.

肌特性としての肌質は、上記の表に従って、皮脂量、水分量（頬、腕）、皮膚バリア機能（頬、腕）に細分することができる。皮脂量について、皮脂量の測定値が高くなる肌と皮脂量の測定値が少なくなりやすい肌をいう。水分量について、肌質が良いとは、水分量が多いことをいい、肌質が悪いとは水分量が少ないことをいう。皮膚バリア機能について、水分蒸散量を測定しており、その値が高くなりやすい肌質は、皮膚バリア機能が低いことをいい、水分蒸散量が低くなりやすい肌は皮膚バリア機能が高いことをいう。 If the skin characteristic is skin type, the following:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs1 0515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, At least one SNP selected from the group consisting of rs4880, rs492602, and rs964184 can be used. Skin quality can be further subdivided into sebum content, moisture content, and skin barrier function. If the skin type is sebum content, the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017 and rs96418 At least 1 SNP selected from the group consisting of 4 can be used . If the skin type is moisture content, the following: rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs Selected from the group consisting of 2282679, rs3785079, rs7201, and rs9340799 At least one SNP included in the test is used. If the skin type is skin barrier function, the following: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830, rs1030868, rs10515552, rs1061622, rs10882272, rs1107 946, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201 , rs74653330, rs7799039, rs8110862, and rs9340799. The relationship between these SNPs and the genes in which they are present is as follows:

Skin quality as a skin characteristic can be subdivided into sebum content, moisture content (cheeks, arms), and skin barrier function (cheeks, arms) according to the table above. Regarding the amount of sebum, we refer to skin that has a high measured value of sebum amount and skin that tends to have a low measured value of sebum amount. Regarding water content, good skin quality means high water content, and poor skin quality means low water content. Regarding skin barrier function, the amount of water evaporation is measured, and a skin type that tends to have a high value is said to have a low skin barrier function, and a skin that tends to have a low amount of water evaporated is said to have a high skin barrier function. .

一方で、ＳＮＰスコアの決定のために選択されたＳＮＰは、任意に除去されてもよい。 The SNP score related to skin function determination is expressed by the following formula, and skin function can be determined based on this SNP score. Each subdivided characteristic of skin function can be determined based on the SNP score below.

On the other hand, the SNPs selected for determining the SNP score may be optionally removed.

In another aspect of the invention, the invention relates to a computer for determining skin characteristics. Such a computer is capable of implementing the method for determining skin characteristics described above. In a further method of the invention, the invention also relates to a method or a program for controlling a computer for determining skin characteristics according to the invention, as well as a storage medium storing said program. The computer of the present invention includes a storage section, an input section, an output section, and a processing section.

The storage unit includes a memory device such as a RAM, ROM, or 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, results of arithmetic processing performed by the processing unit, etc., as well as programs, databases, etc. used in various processes of the computer. The computer program may be installed on a computer-readable recording medium such as a CD-ROM or 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, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Information regarding at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748, and information related to the SNP and information on skin characteristics. The information on these SNPs may further include information on SNPs that are in linkage disequilibrium with the SNP. Information on SNPs includes sequence information, and information on skin characteristics associated with SNPs records types and effects of skin characteristics, SNP scores, and multipliers in the case of homosexuality.

The input section includes an interface. The interface may be connected to, for example, an operation unit such as a keyboard and a mouse, a communication unit such as a LAN or a port, and an external storage device such as a CD-ROM, DVD-ROM, BD-ROM, or memory stick. Information regarding the SNP and information on skin characteristics associated with the SNP may be input from the input unit and stored in the storage unit. Furthermore, target array information is input from the input section. The input array information may be temporarily stored in the storage section, or may be sent as is to the processing section. The target sequence information may be the entire genome sequence of the target or only a partial sequence of the target. Instructions for processing in the processing section can be given from the input section via the operation section.

The processing unit detects the presence of SNP in the target sequence information. More specifically, the processing unit can detect the presence of the SNP in the target sequence information from the SNP sequence information stored in the storage unit and the target sequence information input from the input unit. Comparison of SNP sequence information stored in the storage unit and target sequence information input from the input unit, or SNP sequence information stored in the storage unit in the target sequence information input from the input unit By searching for SNP, the presence of SNP can be detected. The processing unit executes various arithmetic processing according to programs stored in the storage unit. Arithmetic processing is performed by a CPU included in the processing section. This CPU includes a functional module that controls an input section, a storage section, and an output section, and can perform various types of control. Each of these units may be configured with an independent integrated circuit, microprocessor, firmware, or the like. The information regarding the presence of the SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit may directly retrieve information on the skin characteristics associated with the SNP from the storage unit based on the presence of the SNP. can also be read from the storage unit. Furthermore, when there are multiple SNPs, it is also possible to calculate the SNP score based on the SNP information. Next, the processing section processes the read skin characteristic information so as to output it from the output section.

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

In a preferred embodiment of the present invention, the computer of the present invention constitutes a server, and the input section and output section are each connected to a network via an interface section. In this case, genome information or sequence information on a part of the genome can be provided from individual terminals connected to the network, and the provided sequence information is processed on a server, detects the presence of SNPs, and detects the presence of SNPs in the skin. The characteristics can be determined and the determined skin characteristics can be output to the terminal.

Although skin characteristics can be determined by detecting a single SNP, from the viewpoint of achieving better sensitivity, it is preferable to detect multiple SNPs to determine skin characteristics. In order to determine skin characteristics based on the detection of multiple SNPs, for example, it is necessary to clarify whether the SNP has a positive or negative effect on the skin characteristics and assign points according to its presence. This is done by calculating the SNP score. By determining the relationship between the SNP score and the skin characteristics in advance, the skin characteristics can be determined from the SNP score.

In the example, the relationship between SNP scores and skin characteristics is shown based on the relationship between SNP information and skin characteristics obtained from 200 volunteers (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 respect to wrinkles, when the SNP score is 2 or more, more preferably 3 or more, it can be determined that wrinkles are likely to occur due to aging. For example, with regard to age spots, when the SNP score is 2 or more, more preferably 4 or more, it can be determined that age spots are likely to occur. For example, in terms of texture, when the SNP score is 2 or more, more preferably 3 or more, it can be determined that the texture tends to deteriorate with age.

When skin characteristics are determined by the skin characteristics determination method of the present invention, counseling can be performed based on information about such skin characteristics. Accordingly, one aspect of the present invention also relates to a counseling method. In this type of counseling, advice can be provided regarding lifestyle habits and the selection of cosmetics and supplements to use. As an example, among skin color characteristics, the amount of melanin in the upper arms is related to the natural background color of the human skin, and the amount of melanin in the face is related to the color of the skin affected by ultraviolet rays. Therefore, SNP analysis showed that subjects who were more likely to have lower melanin levels in their upper arms but increased levels of melanin in their faces were fair-skinned, but were also susceptible to the effects of ultraviolet rays, and therefore required more care against ultraviolet rays. It can be determined that it is a target. For such subjects, it is possible to suggest lifestyle habits that avoid UV rays, as well as suggest the use of cosmetics containing stronger UV protection agents.

If it is determined that wrinkles are likely to occur, ingredients that can enhance the production of collagen fibers and elastic fibers such as collagen and elastin, and/or suppress the decomposition of elastic fibers such as matrix metalloproteinase inhibitors. We can provide cosmetics and supplements containing. Such components include extracellular matrix degradation inhibitors, such as matrix metalloproteinase inhibitors, and more specifically collagenase inhibitors. Specific ingredients include retinol, white bean extract, and mangosteen extract (Usefulness of Cosmetics: Advances in Evaluation Technology and Future Prospects, Yakuji Nipposha, (2001) Section 7, Cosmetics for Wrinkles, pp. 162-177).

If it is determined that troubles related to skin color characteristics such as age spots are likely to occur, we will provide cosmetics and supplements containing ingredients that have UV-cutting effects, melanin production-inhibiting effects, and/or keratin turnover-promoting effects. can do. Examples of such ingredients include UV protectants, vitamin C derivatives, hydroquinone, tranexamic acid, 4-methoxysalicylic acid potassium salt, arbutin, kojic acid, rucinol, vitamin C derivatives, etc. (Advances in cosmetic usefulness evaluation technology) and Future Prospects, Yakuji Nipposha, (2001), Section 6, Whitening Cosmetics, pp. 144-161). They can also suggest appropriate makeup bases, cosmetics, and makeup methods.

If skin functions such as texture, firmness, sebum, water content, and skin barrier function are determined to be poor, cosmetics and supplements containing ingredients that can enhance skin functions can be provided. Texture improving agents, sebum lowering agents, moisture increase promoters, skin barrier function improving agents, and the like are known. Examples of such ingredients include humectants, tranexamic acid, and black bean extract.

Another aspect of the invention also relates to a kit for the determination of skin characteristics. The kit includes:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 At least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748, or in linkage disequilibrium Contains nucleic acid reagents for detecting SNPs. Such kits may further include nucleic acid extraction reagents and purification reagents. It may also include instructions for use that explain the relationship between detected SNPs and skin conditions.

Examples of such nucleic acid reagents include primers capable of selectively amplifying SNPs, DNA polymerase, dNTPs, and optionally an amplification buffer. Primers capable of amplifying SNPs can be arbitrarily designed for each SNP.

When using a nucleic acid probe as the nucleic acid reagent, the kit may further include a probe detection reagent. As such nucleic acid probes, unimmobilized probes may be used, or probes immobilized on a DNA chip may be used to simultaneously detect multiple SNPs. Such a nucleic acid probe may be labeled so that a specific SNP can be detected.

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

The embodiments of the invention described below are for illustrative purposes only and are not intended to limit the scope of the invention. The technical scope of the present invention is limited only by the claims. Changes in the present invention, such as additions, deletions, and substitutions of constituent elements of the present invention, may be made without departing from the spirit of the present invention.

Measurement of skin characteristic values Skin characteristic values were measured on 200 female volunteers aged 35 to 59, including skin wrinkles, age spots, and skin color (facial melanin level, scalp (inner upper arm) melanin level, brightness, and yolk). , skin conditions (moisture content, barrier function, sebum content, firmness, and texture) were measured. For each measurement, the wrinkle and stain conditions were measured using Visia Evolution (manufactured by Canfield Scientific), and index values for wrinkles and stains 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, brightness (L ^* , colorimetric value), and yellow color (b ^* , colorimetric value) of the facial cheeks were measured. . The skin color on the inner side of the upper arm, an area not exposed to sunlight, was also measured to calculate the amount of melanin. The skin condition is determined by measuring the moisture content of the stratum corneum (Corneometer), transepidermal water transpiration (barrier function) (Vapometer), sebum content (Sebumeter), and firmness (Cutometer) using specialized commercially available equipment. Using an original measuring device, Skinvisiom II, and special analysis software, we measured the degree of texture disturbance.

Genetic analysis (SNP genotyping)
Saliva was used as a genetic analysis specimen. Saliva was collected using Oragene® DNA OG-500 (DNA Genotek Inc.) to stabilize the DNA. DNA was purified from saliva, SNP genotyping was performed using a DNA array, and information on previously selected SNPs was obtained. SNPs to be analyzed were selected from past dermatological findings that are expected to have an effect on skin characteristic values.

Statistical processing method The association between skin characteristic values and SNP genotypes is determined by multiple comparisons, multiple regression analysis, statistical analysis of odds ratios, cases where prediction intervals are set using the optimal regression model, and control analysis. It was decided that. Furthermore, we conducted covariance structure analysis (SEM) and decision tree analysis to evaluate the association between multiple SNP genes related to skin characteristics, and attempted to index the influence of SNP genes on skin characteristic values. Ta.

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

Multiple regression analysis Simple regression analysis showed that many characteristic values were correlated with age (data not shown). Therefore, in order to separate the aging effect from the genetic effect, we conducted a multiple regression analysis using genetic factors and age (numerical value) as variables. Standard partial regression coefficients and p-values were calculated for relationships in which the coefficients of genetic factors were significant. A SNP whose standard partial regression coefficient has a positive sign indicates that the skin characteristic value increases when there is a mutation, and a negative sign indicates that the skin characteristic value decreases due to the mutation. The SNPs selected by multiple regression analysis are shown in Table 5 below.

We set an odds ratio threshold, divided the skin characteristic data into two groups, and created a contingency table by combining them with the SNP genotype. Since skin characteristic values change with age, the threshold values also changed with age. Here, a comparison was made between the two groups, with the top 1/4 of skin characteristic values in a given age range as the high ranking group and the bottom 1/4 as the low ranking group. The selection criteria for the control group and risk group was that if skin characteristic values increase with age, the increasing group is considered the risk group, and conversely, if they decrease, the decreasing group is considered the risk group for analysis. . Two genotype samples were selected for each SNP, a 2 x 2 contingency table between the control group and the risk group was created, and statistical tests were performed. In selecting the control group and risk group, "same age" was defined as one's own age plus or minus 5 years. Table 6 below shows the combinations of skin characteristic values and SNPs that were significant in the Fisher exact test among the odds ratios between wild type and heterozygous type or homozygous type.

Covariance Structure Analysis (SEM) Analysis SEM analysis is a method of modeling 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. Model variables are observed variables and latent variables (constructs), and skin characteristic value data, age, and SNP polymorphism data are the observed variables.SNP polymorphism data is replaced with Wild → 0, Hetero → 1, Homo → 21 treated with two dummy variables. For the SEM model notation, we used the lavaan notation, which allows flexible model description.

Analysis procedure (1) Define the model.
(2) Estimating model parameters (parameters) so as to explain the variance structure of sample data to the maximum extent possible.
(3) Check the fitness index of the model (an index that indicates how well the variance structure of the sample data has been explained).
(4) Check the size and reliability (p value) of the model parameters.
(5) If the goodness of fit and parameters are good, the analysis ends.
(6) If there was a model variable with good fit but low reliability, analyzes (1) to (4) were performed and compared using a model that excluded it.
If the fit is poor, improve the model using the correction index (an indicator that indicates what kind of relationship should be added to the model to improve the fit), perform analyzes (1) to (4), and compare. did.

Decision tree analysis In decision tree analysis, continuous skin characteristic values are used as the objective variable, and the branching conditions are determined to minimize the ratio of the between-class variance and the intra-class variance of the objective variable in two groups. Ta. Since age is included as a divergent factor, analysis by age group was not performed, and modeling was performed for the entire sample.
The model variables are
(1) Objective variable (dependent variable): Skin characteristic value (continuous value)
(2) Explanatory variables (independent variables): Age classes in 5-year increments and SNP polymorphisms.
Analysis steps
(1) Determine the combination of objective variables (skin characteristic values) and explanatory variables (SNPs).
(2) Decision tree analysis continues dividing so that the degree of complexity (CP: Complexity Parameter) becomes smaller. Initially, the analysis is performed under the condition that division continues as long as CP decreases.
(3) Calculate the model error rate for each branch condition using the n-fold cross-validation method. The n-fold cross-validation method divides data into n sets, creates a decision tree using n-1 sets, discriminates the remaining set of data, and calculates the resulting error rate. Evaluate n times by replacing the test data.
(4) The Min+1SE method was adopted as the stopping condition.
(5) The tree created up to the dividing point of the stopping condition was defined as a decision tree.

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

Examination of indexing Based on the analysis results thus far, we examined indexing the influence of SNPs on skin characteristic values. The relationship between SkinXX and SnpYY, which was discussed in this section, was simply counted by points. An increasing factor is +1 and a decreasing factor is -1. The SNPs shown below were selected for each characteristic value, and the score calculation formula, score frequency distribution, and boxplot of the skin characteristic values for each score are shown in FIGS. 3(A) to 16(A).

The SNPs selected for indexing are shown in Table 8 below.

に基づき、ＳＮＰスコア（シミ）を計算した。ＳＮＰスコア（シミ）とシミスコア（インデックス）との関係、及びＳＮＰスコア（シミ）と頻度との関係を、それぞれ図３（Ａ）及び（Ｂ）に示した。 Analysis of stains Among the skin characteristics, analysis of stains is performed using the following formula:

Based on this, the SNP score (spot) was calculated. The relationship between the SNP score (spot) and the stain score (index) and the relationship between the SNP score (spot) and frequency are shown in FIGS. 3(A) and (B), respectively.

に基づき、ＳＮＰスコア（シミ平均面積）を計算した。ＳＮＰスコア（シミ平均面積）と平均シミ面積（インデックス）との関係、及びＳＮＰスコア（シミ平均面積）と頻度との関係を、それぞれ図４（Ａ）及び（Ｂ）に示した。 Analysis of the average area of spots Among skin characteristics, analysis of the average area of spots is performed using the following formula:

Based on this, the SNP score (average stain area) was calculated. The relationship between the SNP score (average stain area) and the average stain area (index) and the relationship between the SNP score (average stain area) and frequency are shown in FIGS. 4(A) and (B), respectively.

に基づき、ＳＮＰスコア（顔面頬メラニン）を計算した。ＳＮＰスコア（顔面頬メラニン）と顔面メラニン（インデックス）との関係、及びＳＮＰスコア（顔面頬メラニン）と頻度との関係を、それぞれ図５（Ａ）及び（Ｂ）に示した。 Analysis of facial cheek melanin Among the skin characteristics, analysis of facial cheek melanin is performed using the following formula:

Based on this, the SNP score (facial cheek melanin) was calculated. The relationship between the SNP score (facial cheek melanin) and facial melanin (index) and the relationship between the SNP score (facial cheek melanin) and frequency are shown in FIGS. 5(A) and (B), respectively.

に基づき、ＳＮＰスコア（上腕内側メラニン）を計算した。ＳＮＰスコア（上腕内側メラニン）と上腕内側メラニン（インデックス）との関係、及びＳＮＰスコア（上腕内側メラニン）と頻度との関係を、それぞれ図６（Ａ）及び（Ｂ）に示した。 Analysis of melanin on the inner side of the upper arm Among the skin characteristics, the analysis of melanin on the inner side of the upper arm is performed using the following formula:

Based on this, the SNP score (inner upper arm melanin) was calculated. The relationship between the SNP score (melanin on the inside of the upper arm) and the melanin on the inside of the upper arm (index), and the relationship between the SNP score (melanin on the inside of the upper arm) and frequency are shown in FIGS. 6(A) and (B), respectively.

に基づき、ＳＮＰスコア（頬の明るさ）を計算した。ＳＮＰスコア（頬の明るさ）と頬明るさ（Ｌ^*：明度）との関係、及びＳＮＰスコア（頬の明るさ）と頻度との関係を、それぞれ図７（Ａ）及び（Ｂ）に示した。 Analysis of the brightness of the cheeks Among the skin characteristics, the brightness of the cheeks can be analyzed using the following formula:

Based on this, the SNP score (cheek brightness) was calculated. The relationship between the SNP score (brightness of cheeks) and cheek brightness (L ^* : brightness) and the relationship between SNP score (brightness of cheeks) and frequency are shown in Figures 7 (A) and (B), respectively. Ta.

に基づき、ＳＮＰスコア（頬の黄色）を計算した。ＳＮＰスコア（頬の黄色）と頬黄色（ｂ^*：色彩値）との関係、及びＳＮＰスコア（頬の黄色）と頻度との関係を、それぞれ図８（Ａ）及び（Ｂ）に示した。 Analysis of yellow cheeks Among the skin characteristics, analysis of yellow cheeks is performed using the following formula:

The SNP score (cheek yellow) was calculated based on. The relationship between the SNP score (yellow cheek) and yellow cheek (b ^* : color value) and the relationship between the SNP score (yellow cheek) and frequency are shown in FIGS. 8(A) and (B), respectively.

に基づき、ＳＮＰスコア（シワ）を計算した。ＳＮＰスコア（シワ）とシワスコア（インデックス）との関係、及びＳＮＰスコア（シワ）と頻度との関係を、それぞれ図９（Ａ）及び（Ｂ）に示した。 Analysis of wrinkles Among the skin characteristics, wrinkle analysis is performed using the following formula:

Based on this, the SNP score (wrinkle) was calculated. The relationship between the SNP score (wrinkles) and the wrinkle score (index) and the relationship between the SNP score (wrinkles) and frequency are shown in FIGS. 9(A) and (B), respectively.

に基づき、ＳＮＰスコア（キメ）を計算した。ＳＮＰスコア（キメ）とキメスコア（インデックス）との関係、及びＳＮＰスコア（キメ）と頻度との関係を、それぞれ図１０（Ａ）及び（Ｂ）に示した。 Texture analysis Among the skin characteristics, texture analysis is performed using the following formula:

Based on this, the SNP score (texture) was calculated. The relationship between the SNP score (texture) and the texture score (index) and the relationship between the SNP score (texture) and frequency are shown in FIGS. 10(A) and (B), respectively.

に基づき、ＳＮＰスコア（はり）を計算した。ＳＮＰスコア（はり）とはりスコア（Ｒ７）との関係、及びＳＮＰスコア（はり）と頻度との関係を、それぞれ図１１（Ａ）及び（Ｂ）に示した。 Analysis of acupuncture Among the skin characteristics, the analysis of acupuncture is performed using the following formula:

Based on this, the SNP score (beam) was calculated. The relationship between the SNP score (high) and the high score (R7), and the relationship between the SNP score (high) and frequency are shown in FIGS. 11(A) and (B), respectively.

に基づき、ＳＮＰスコア（皮脂-額）を計算した。ＳＮＰスコア（皮脂-額）と皮脂スコア（Ａ．Ｕ．）との関係、及びＳＮＰスコア（皮脂-額）と頻度との関係を、それぞれ図１２（Ａ）及び（Ｂ）に示した。 Analysis of sebum and forehead Among the skin characteristics, analysis of sebum and forehead is performed using the following formula:

Based on this, the SNP score (sebum-forehead) was calculated. The relationship between the SNP score (sebum - forehead) and the sebum score (A.U.) and the relationship between the SNP score (sebum - forehead) and frequency are shown in FIGS. 12(A) and (B), respectively.

に基づき、ＳＮＰスコア（水分量-頬）を計算した。ＳＮＰスコア（水分量-頬）と頬角層水分量（Ａ．Ｕ．）との関係、及びＳＮＰスコア（水分量-頬）と頻度との関係を、それぞれ図１３（Ａ）及び（Ｂ）に示した。 Moisture content - cheek analysis Among the skin characteristics, moisture content - cheek analysis is calculated using the following formula:

Based on this, the SNP score (water content - cheek) was calculated. The relationship between the SNP score (moisture content - cheek) and the moisture content of the horny cheek layer (A.U.) and the relationship between the SNP score (moisture content - cheek) and frequency are shown in Figures 13 (A) and (B), respectively. It was shown to.

に基づき、ＳＮＰスコア（水分量-腕）を計算した。ＳＮＰスコア（水分量-腕）と腕角層水分量（Ａ．Ｕ．）との関係、及びＳＮＰスコア（水分量-腕）と頻度との関係を、それぞれ図１４（Ａ）及び（Ｂ）に示した。 Moisture content - arm analysis Among skin characteristics, moisture content - arm analysis is calculated using the following formula:

Based on this, the SNP score (water content - arm) was calculated. The relationship between the SNP score (water content - arm) and the arm stratum corneum water content (A.U.) and the relationship between the SNP score (water content - arm) and frequency are shown in Figures 14 (A) and (B), respectively. It was shown to.

に基づき、ＳＮＰスコア（バリア－頬）を計算した。ＳＮＰスコア（バリア－頬）と頬経皮水分蒸散量（ｇ／ｍ²ｈ）との関係、及びＳＮＰスコア（バリア－頬）と頻度との関係を、それぞれ図１５（Ａ）及び（Ｂ）に示した。 Analysis of barrier cheeks Among the skin characteristics, analysis of barrier cheeks is performed using the following formula:

Based on the SNP score (barrier-cheek) was calculated. The relationship between the SNP score (barrier-cheek) and cheek transepidermal water loss (g/m ² h), and the relationship between the SNP score (barrier-cheek) and frequency are shown in Figures 15 (A) and (B), respectively. It was shown to.

に基づき、ＳＮＰスコア（バリア－腕）を計算した。ＳＮＰスコア（バリア－腕）と腕経皮水分蒸散量（ｇ／ｍ²ｈ）との関係、及びＳＮＰスコア（バリア－腕）と頻度との関係を、それぞれ図１６（Ａ）及び（Ｂ）に示した。 Analysis of barrier arm Among the skin characteristics, analysis of barrier arm is performed using the following formula:

The SNP score (barrier-arm) was calculated based on. The relationship between SNP score (barrier-arm) and arm transepidermal water loss (g/m ² h) and the relationship between SNP score (barrier-arm) and frequency are shown in FIGS. 16(A) and (B), respectively. It was shown to.

Cases and control analysis subjects for which prediction intervals were set using the optimal regression model were increased to the number of subjects shown in Table 9 below, and further analysis was conducted. Regarding pairs of skin characteristic values and genotype SNPs, we analyzed which genotype SNPs differ in the distribution of skin characteristic values. For each skin characteristic, the optimal regression model shown in Table 10 was set from a plot of age and each measured value, and the width prediction interval of standard deviation (σ) was determined. The sample group that deviated from the upper part of the width prediction interval was defined as the high value group, and the sample group that deviated from the lower part of the width prediction interval was defined as the low value group. The high value group and low value group were treated as "cases" and the others were treated as "controls", and the chi-square test was applied, and the selected SNPs are shown in Table 11 below. The effects of SNPs were detected in two ways: dominant (manifest) and recessive (recessive). Dominance was defined as (wild + hetero) vs homo, and recessive was defined as wild vs (hetero + homo).

［１] 以下の：
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、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、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる、少なくとも１のＳＮＰを検出する工程、
検出されたＳＮＰに基づき、肌特性を決定する工程
を含む、肌特性の決定方法。
［２］ 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、項目１に記載の決定方法。
［３］ 肌特性が、肌形状特性であり、前記ＳＮＰが以下の：
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、項目２に記載の決定方法。
［４］ 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、項目３に記載の決定方法。
［５］ 肌形状特性がシワである場合に、前記ＳＮＰが以下の：rs1800629、rs1107946、rs1501299、rs10515552、rs12785878、rs12051272、rs1126643、rs1256062、rs1485766、rs1799750、rs2234693、rs2246416、rs3760776、rs3865188、rs4065、rs6058017、及びrs964184からなる群から選ばれる、項目３に記載の決定方法。
［６］ 肌形状特性がキメである場合に、前記ＳＮＰが以下の：rs1256062、rs1799750、rs12931267、rs11057830、rs1107946、rs11234027、rs16891982、rs17577、rs1799724、rs1800012、rs2010963、rs2108622、rs2232228、rs3785079、rs3829251、rs7501331、rs7799039、からなる群から選ばれる、項目３に記載の決定方法。
［７］ 肌形状特性が、ハリである場合に、前記ＳＮＰが以下の：rs1256062、rs3760776、rs12931267、及びrs2285053、rs1030868、rs10741657、rs11568737、rs1540771、rs1799724、rs1800012、rs1801133、rs1993116、rs2060793、rs2228479、rs2232228、rs2241145、rs2287074、rs41281112、rs492602、rs8326、からなる群から選ばれる、項目３に記載の決定方法。
［８］ 肌特性が、肌質であり、前記ＳＮＰが以下の：rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる、項目２に記載の決定方法。
［９］ 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、項目８に記載の決定方法。
［１０］ 肌質が、皮脂量である場合に、前記ＳＮＰが以下の：rs2987983、rs74653330、rs12931267、rs10882272、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs6058017、及びrs964184からなる群から選ばれる、項目９に記載の決定方法。
［１１］ 肌質が、水分量である場合に、前記ＳＮＰが以下の：rs7501331、rs3760776、rs3829251、及びrs17822931、rs1126643、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs2282679、rs3785079、rs7201、rs9340799からなる群から選ばれる、項目９に記載の決定方法。
［１２］ 肌質が、皮膚バリア機能である場合に、前記ＳＮＰが以下の：rs1050565、rs17822931、rs1800414、rs2285053、rs3829251、rs1800629、rs11057830 rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs74653330、rs7799039、rs8110862、及びrs9340799からなる群から選ばれる、項目９に記載の決定方法。
［１３］ 肌特性が、肌の色特性であり、前記ＳＮＰが以下の：rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、項目２に記載の決定方法。
［１４］ 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、項目１３に記載の決定方法。
［１５］ 肌の色特性が肌の地色である場合に、前記ＳＮＰが以下の：rs3760776、rs2246416、rs2241145、rs10741657、rs6058017、rs2287074、rs74653330、rs1256062、rs17577、rs3865188、rs41281112、及びrs8326からなる群から選ばれる、項目１４に記載の決定方法。
［１６］ 肌の色特性が肌の紫外線曝露部の肌の色である場合に、前記ＳＮＰが以下の：rs2241145、rs6058017、rs1799750、rs1030868、rs2287074、rs2046571、rs2285053、rs10741657、rs2246416、rs1107946、rs7201、及びrs74653330からなる群から選ばれる、項目１４に記載の決定方法。
［１７］ 肌の色特性がシミである場合に、前記ＳＮＰが以下の：rs1030868、rs12785878、rs1799750、rs2046571、rs2241145、rs3829251、rs8326、rs833061、rs10515552、rs10741657、rs10882272、rs11057830、rs11234027、rs12272004、rs1256062、rs1485766、rs1501299、rs1540771、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2232228、rs2246416、rs2282679、rs2298585、rs2987983、rs4065、rs4880、rs492602、rs6058017、rs7201、rs964184からなる群から選ばれる、項目１４に記載の決定方法。
［１８］ 肌の色特性が明るさである場合に、前記ＳＮＰが以下の：rs2285053、rs6058017、rs74653330及びrs2246416、rs11057830、rs1126643、rs1799724、rs2228479、rs2232228、rs4654748、rs833061、及びrs9340799からなる群から選ばれる、項目１４に記載の決定方法。
［１９］ 肌の色特性が黄色みである場合に、前記ＳＮＰが以下の：rs10741657、rs6058017、rs2241145、rs2285053、rs1799750、rs1030868、及びrs2246416、rs1107946、rs1126643、rs12913832、rs17577、rs3785079、rs492602、rs74653330、rs833061、及びrs9340799からなる群から選ばれる、項目１４に記載の決定方法。
［２０］ 項目１～１９のいずれか一項に記載の方法により決定された肌特性に基づくカウンセリング方法。
［２１］ 項目１～１９のいずれか一項に記載の方法により決定された肌特性に応じて、化粧料を選択することを特徴とする、化粧料の提供方法。
［２２］ 項目１～１９のいずれか一項に記載の方法により決定された肌特性に応じて、サプリメントを選択することを特徴とする、サプリメントの提供方法。
［２３］ 肌特性を決定するコンピュータであって、以下の：
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、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、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも１のＳＮＰに関する情報と、当該ＳＮＰと関連する肌特性の情報とを記憶させた記憶部、
利用者のＤＮＡ情報を入力する入力部、
入力されたＤＮＡ情報中において、記憶されたＳＮＰの存在を検出する処理部、
検出されたＳＮＰに関連する肌特性の情報を出力する出力部
を含む、コンピュータ。
［２４］ 前記コンピュータが、サーバーであり、入力部が通信部であり、出力部が通信部である、項目２３に記載のコンピュータ。
［２５］ 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、項目２３又は２４に記載のコンピュータ。
［２６］ 肌特性が、肌形状特性であり、前記ＳＮＰが以下の：
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、項目２５に記載のコンピュータ。
［２７］ 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、項目２６に記載のコンピュータ。
［２８］ 肌特性が、肌質であり、前記ＳＮＰが以下の：
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、rs964184からなる群から選ばれる、項目２５に記載のコンピュータ。
［２９］ 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、項目２８に記載のコンピュータ。
［３０］ 肌特性が、肌の色特性であり、前記ＳＮＰが以下の：
rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、項目２５に記載の決定方法。
［３１］ 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、項目３０に記載の決定方法。
［３２］ 前記記憶部が、さらに肌特性の情報と、当該肌特性に適した化粧料及びサプリメント、並びに当該肌特性のヒトにとって必要な生活習慣改善のアドバイスのリストとを記憶し、
肌特性の情報に加えて、当該肌情報に適した化粧料及びサプリメント、並びに当該肌特性のヒトにとって必要な生活習慣改善のアドバイスを出力する、項目２３～３１のいずれか一項に記載のコンピュータ。
［３３］ 記憶部と、入力部と、処理部と、出力部とを含む肌特性を決定するコンピュータを制御するプログラムであって、以下の：
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、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、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも１のＳＮＰに関する情報と、当該ＳＮＰと関連する肌特性の情報とを記憶部に記憶させ、
入力部から、利用者のＤＮＡ情報を入力させ、
処理部に、入力されたＤＮＡ情報において記憶されたＳＮＰの存在を検出させ、
出力部に、検出されたＳＮＰに関連する肌特性の情報を出力させる、
前記プログラム。
［３４］ 前記コンピュータが、サーバーであり、入力部が通信部であり、出力部が通信部である、項目３３に記載のプログラム。
［３５］ 肌特性が、肌形状特性、肌質、及び肌の色特性からなる群から選ばれる、項目３３又は３４に記載のプログラム。
［３６］ 肌特性が、肌形状特性であり、前記ＳＮＰが以下の：
rs1256062、rs10515552、rs1107946、rs12785878、rs12931267、rs1501299、rs1799750、rs1800629、rs2285053、rs3760776、rs12051272、rs1030868、rs10741657、rs11057830、rs11234027、rs1126643、rs11568737、rs1485766、rs1540771、rs16891982、rs17577、rs1799724、rs1800012、rs1801133、rs1993116、rs2010963、rs2060793、rs2108622、rs2228479、rs2232228、rs2234693、rs2241145、rs2246416、rs2287074、rs3785079、rs3829251、rs3865188、rs4065、rs41281112、rs492602、rs6058017、rs7501331、rs7799039、rs8326、及びrs964184からなる群から選ばれる、項目３５に記載のプログラム。
［３７］ 肌形状特性が、シワ、キメ、及びハリからなる群から選ばれる、項目３６に記載のプログラム。
［３８］ 肌特性が、肌質であり、前記ＳＮＰが以下の：
rs2987983、rs1050565、rs11057830、rs12931267、rs17822931、rs1800414、rs1800629、rs2285053、rs3760776、rs3829251、rs74653330、rs7501331、rs1030868、rs10515552、rs1061622、rs10882272、rs1107946、rs1126643、rs2241145、rs2282679、rs41281112、rs6058017、rs7201、rs7799039、rs8110862、rs9340799、rs12377462、rs1485766、rs1501299、rs16891982、rs17577、rs1800012、rs2228479、rs3785079、rs1667255、rs2046571、rs2227564、rs2246416、rs4065、rs4880、rs492602、及びrs964184からなる群から選ばれる、項目３５に記載のプログラム。
［３９］ 肌質が、皮脂量、水分量、及び皮膚バリア機能からなる群から選ばれる、項目３８に記載のプログラム。
［４０］ 肌特性が、肌の色特性であり、前記ＳＮＰが以下の：rs1030868、rs10741657、rs1107946、rs12785878、rs1799750、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs3760776、rs3829251、rs6058017、rs74653330、rs8326、rs833061、rs10515552、rs10882272、rs11057830、rs11234027、rs1126643、rs12272004、rs1256062、rs12913832、rs1485766、rs1501299、rs1540771、rs17577、rs1799724、rs1800629、rs1993116、rs2010963、rs2060793、rs2227564、rs2228479、rs2232228、rs2282679、rs2298585、rs2987983、rs3785079、rs3865188、rs4065、rs41281112、rs4654748、rs4880、rs492602、rs7201、rs9340799、及びrs964184からなる群から選ばれる、項目３５に記載のプログラム。
［４１］ 肌の色特性が、肌の地色、紫外線曝露部の肌の色、シミ、明るさ及び黄色みからなる群から選ばれる、項目４０に記載のプログラム。
［４２］ 以下の：
rs1030868、rs1050565、rs10515552、rs10741657、rs11057830、rs1107946、rs1256062、rs12785878、rs12931267、rs1501299、rs17822931、rs1799750、rs1800414、rs1800629、rs2046571、rs2241145、rs2246416、rs2285053、rs2287074、rs2987983、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、rs492602、rs12051272、rs1126643、rs2234693、rs3865188、rs11568737、rs1801133、rs2228479、rs41281112、rs1061622、rs8110862、rs9340799、rs12377462、rs1667255、rs12913832、及びrs4654748からなる群から選ばれる少なくとも１のＳＮＰを検出するための核酸試薬を含む、肌特性の決定のためのキット。
［４３］ 前記キットが、さらに核酸抽出及び精製試薬を含む、項目４２に記載のキット。
［４４］ 前記核酸試薬が、ＳＮＰを選択的に増幅可能なプライマーであり、前記キットがさらに、ポリメラーゼ、ｄＮＴＰを含む、項目４２又は４３に記載のキット。
［４５］ 前記核酸試薬が、核酸プローブであり、前記キットがさらに、プローブ検出試薬を含む、項目４２又は４３に記載のキット。

[1] The following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Detecting at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748;
A method for determining skin characteristics, comprising: determining skin characteristics based on detected SNPs.
[2] The determination method according to item 1, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics.
[3] The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs 11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112 , rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184, in item 2. How to determine the description.
[4] The determining method according to item 3, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture, and firmness.
[5] When the skin shape characteristic is wrinkles, the SNPs are as follows: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs223469 3, rs2246416, rs3760776, rs3865188, rs4065, rs6058017 , and rs964184, the determination method according to item 3.
[6] When the skin shape characteristic is texture, the SNP is as follows: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963 , rs2108622, rs2232228, rs3785079, rs3829251, rs7501331 , rs7799039, the determination method according to item 3.
[7] When the skin shape characteristic is firmness, the SNPs are as follows: rs1256062, rs3760776, rs12931267, and rs2285053, rs1030868, rs10741657, rs11568737, rs1540771, rs1799724, rs1800012, rs18011 33, rs1993116, rs2060793, rs2228479, rs2232228 , rs2241145, rs2287074, rs41281112, rs492602, rs8326, the determination method according to item 3.
[8] The skin characteristic is skin quality, 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, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs168919 82, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184, the determination method according to item 2.
[9] The determination method according to item 8, wherein the skin quality is selected from the group consisting of sebum content, moisture content, and skin barrier function.
[10] When the skin quality is sebum content, the SNPs are as follows: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs60 From the group consisting of 58017, and rs964184 The determination method described in item 9 is selected.
[11] When the skin quality is moisture content, the SNPs are as follows: rs7501331, rs3760776, rs3829251, and rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs180001 2, rs2228479, rs2282679, rs3785079, rs7201 , rs9340799.
[12] When the skin quality is skin barrier function, the SNPs are as follows: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830 rs1030868, rs10515552, rs1061622, rs1088 2272, rs1107946, rs1126643, rs2241145, rs2282679, The determination method according to item 9, which is selected from the group consisting of rs41281112, rs6058017, rs7201, rs74653330, rs7799039, rs8110862, and rs9340799.
[13] The skin characteristic is a skin color characteristic, and the SNP is the following: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs376077 6, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs17 99724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, The determination method according to item 2, which is selected from the group consisting of rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.
[14] The determining method according to item 13, wherein the skin color characteristic is selected from the group consisting of the background color of the skin, the color of the skin in areas exposed to ultraviolet rays, age spots, brightness, and yellowness.
[15] When the skin color characteristic is the background color of the skin, the SNPs are as follows: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281 112, and the group consisting of rs8326 The determination method described in item 14 is selected from.
[16] When the skin color characteristic is the skin color of the UV-exposed part of the skin, the SNP is as follows: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201, and rs74653330, the determination method according to item 14.
[17] When the skin color characteristic is age spots, the SNPs are as follows: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272 , rs11057830, rs11234027, rs12272004, rs1256062, rs1485766, rs1501299, rs1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs29879 Selected from the group consisting of 83, rs4065, rs4880, rs492602, rs6058017, rs7201, rs964184, listed in item 14 How to determine.
[18] When the skin color characteristic is brightness, the SNPs are as follows: rs2285053, rs6058017, rs74653330 and rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs83306 1, and rs9340799 The determination method described in item 14.
[19] When the skin color characteristic is yellowish, the SNPs are as follows: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, and rs2246416, rs1107946, rs1126643, rs12913832, rs1757 7, rs3785079, rs492602, rs74653330, The determination method according to item 14, which is selected from the group consisting of 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 cosmetics, which comprises selecting a cosmetic according to skin characteristics determined by the method according to any one of items 1 to 19.
[22] A method for providing a supplement, which comprises 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, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602 , rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs 12913832, and information regarding at least one SNP selected from the group consisting of rs4654748, and information related to the SNP. a memory unit that stores information on skin characteristics;
an input section for inputting the user's DNA information;
a processing unit that detects the presence of a stored SNP in the input DNA information;
A computer, comprising: an output section that outputs information on skin characteristics associated with detected SNPs.
[24] The computer according to item 23, wherein the computer is a server, the input section is a communication section, and the output section is a communication section.
[25] The computer according to item 23 or 24, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics.
[26] The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs 11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112 , rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184, in item 25. The computer mentioned.
[27] The computer according to item 26, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture, and firmness.
[28] The skin characteristic is skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs1 0515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, The computer according to item 25, selected from the group consisting of rs4880, rs492602, and rs964184.
[29] The computer according to item 28, wherein the skin quality is selected from the group consisting of sebum content, moisture content, and skin barrier function.
[30] The skin characteristic is a skin color characteristic, and the SNP is as follows:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs746 53330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, 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 The determination method according to item 25, which is selected from the group.
[31] The method for determining skin color according to item 30, wherein the skin color characteristic is selected from the group consisting of skin background color, skin color of UV-exposed areas, age spots, brightness, and yellowness.
[32] The storage unit further stores information on skin characteristics, cosmetics and supplements suitable for the skin characteristics, and a list of lifestyle improvement advice necessary for people with the skin characteristics,
The computer according to any one of items 23 to 31, which outputs, in addition to information on skin characteristics, cosmetics and supplements suitable for the skin information, and lifestyle improvement advice necessary for people with the skin characteristics. .
[33] A program for controlling a computer for determining skin characteristics, including a storage unit, an input unit, a processing unit, and an output unit, the program comprising:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Information regarding at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748, and information related to the SNP information on the skin characteristics to be stored in the storage unit,
Enter the user's DNA information from the input section,
causing the processing unit to detect the presence of the SNP stored in the input DNA information;
causing the output unit to output information on skin characteristics related to the detected SNP;
Said program.
[34] The program according to item 33, wherein the computer is a server, the input section is a communication section, and the output section is a communication section.
[35] The program according to item 33 or 34, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics.
[36] The skin characteristic is a skin shape characteristic, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs 11057830, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771, rs16891982, rs17577, rs1799724, rs1800012, rs1801133, rs1993116, rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112 , rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184, in item 35. Programs listed.
[37] The program according to item 36, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture, and firmness.
[38] The skin characteristic is skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs1 0515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, The program according to item 35, selected from the group consisting of rs4880, rs492602, and rs964184.
[39] The program according to item 38, wherein the skin quality is selected from the group consisting of sebum content, moisture content, and skin barrier function.
[40] The skin characteristic is a skin color characteristic, and the SNP is the following: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs376077 6, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs17 99724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, The program according to item 35, selected from the group consisting of rs3865188, rs4065, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.
[41] The program according to item 40, wherein the skin color characteristic is selected from the group consisting of the background color of the skin, the color of the skin in areas exposed to ultraviolet rays, age spots, brightness, and yellowness.
[42] The following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602 , rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs 12913832, and a nucleic acid reagent for detecting at least one SNP selected from the group consisting of rs4654748. , a kit for the determination of skin properties.
[43] The kit according to item 42, wherein the kit further comprises 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 SNPs, and the kit further includes a polymerase and dNTP.
[45] The kit according to item 42 or 43, wherein the nucleic acid reagent is a nucleic acid probe, and the kit further includes a probe detection reagent.

Claims (1)

below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs2987983, 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, rs492602, rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs16 Detecting at least one SNP selected from the group consisting of 67255, rs12913832, and rs4654748;
A method for determining skin characteristics, comprising: determining skin characteristics based on detected SNPs.

Images