JP2021040626A - Skin characteristic analysis method - Google Patents

Abstract

To provide methods for determining human skin characteristics based on genetic factors by SNPs analysis, to provide computers that determine skin characteristics, and to provide programs that control the computer.SOLUTION: The present invention is based on that in 200 subjects, the statistical analysis of a relationship with skin characteristics is tried, which targets SNPs in a wider range of proteins, not just proteins previously known to be associated with skin properties, so that SNPs involved in skin characteristics, especially wrinkles, skin color, and skin function are identified, and at least one SNP selected from the selected SNPs group.SELECTED DRAWING: Figure 3

Description

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

The skin characteristics vary from person to person, and in order to provide cosmetics suitable for each individual's skin characteristics, individual counseling has been mainly performed in the past. Counseling has been conducted based on the results of questionnaires based on customer self-diagnosis and objective information on the skin, such as texture measured by a device, skin barrier function, water content, elasticity, viscosity, and the like.

However, the customer's self-diagnosis is only a subjective judgment and does not accurately reflect the customer's skin characteristics. In addition, the objective information measured by the device merely quantifies the condition at the time of inspection for the skin condition that may change daily, and it is difficult to estimate the skin trouble that may occur in the future.

If skin troubles 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 SNP analysis of genes have been proposed, and in particular, the relationship between SNP and skin quality has been studied for genes encoding proteins directly involved in skin quality (Patent Documents 1 to 4). ). As a result, a method for predicting skin characteristics and skin troubles based on the SNP analysis result has been provided. In these studies, SNPs are being investigated for genes that have been shown to be directly involved in skin quality, such as wrinkles and age spots. As such a target gene, for example, MC1R, MMP1, SOD2, GPX1, AXI and the like are targeted. On the other hand, since there are various genes that affect the skin characteristics of the skin, it is necessary to investigate the relationship between SNP and skin characteristics in more genes.

Japanese Unexamined Patent Publication No. 2006-191858 JP 2015-73503 Japanese Unexamined Patent Publication No. 2013-226906 Japanese Unexamined Patent Publication No. 2011-234664 Japanese Unexamined Patent Publication No. 2014-193155 Japanese Unexamined Patent Publication No. 2014-45729

Comprehensive Genetic Polymorphism Analysis (SNP) Journal of Pharmacology (2005), pp. 125, 148-152

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

In 200 subjects, the present inventors attempted to statistically analyze the relationship with skin characteristics by targeting SNPs in a wider range of proteins as well as proteins previously known to be related to skin characteristics. .. As a result, SNPs related to skin characteristics, particularly wrinkles, skin color, and skin function were identified, and the present invention was reached.

Therefore, the present invention is the following invention:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 Detecting 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.
The present invention relates to a method for determining skin characteristics, including a step of determining skin characteristics based on the detected SNP.

In yet another aspect, the invention is a computer that determines skin properties.
below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 Information on 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. A memory unit that stores information on skin characteristics
Input section for inputting user's DNA information,
A detector that detects the presence of a stored SNP in the input DNA information,
It relates to a computer including an output unit that outputs information on skin characteristics related to the detected SNP. A further aspect of the present invention relates to a method and / or a control program for controlling such a computer, and further relates to a storage medium containing such a control program.

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

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

FIG. 1 is a diagram showing a 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. 3A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the spot as a skin characteristic and the spot. FIG. 3B is a diagram showing an SNP score calculated from an SNP associated with age spots as a skin characteristic and its appearance frequency. FIG. 4A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the average spot area as a skin characteristic and the average spot area. FIG. 4B is a diagram showing an SNP score calculated from an SNP associated with a spot average area as a skin characteristic and its appearance frequency. FIG. 5A is a diagram showing the relationship between the SNP score calculated from the SNP associated with facial cheek melanin as a skin characteristic and the facial cheek melanin. FIG. 5B is a diagram showing an SNP score calculated from an SNP associated with facial cheek melanin as a skin characteristic and its appearance frequency. FIG. 6A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the medial brachial melanin as a skin characteristic and the medial brachial melanin. FIG. 6B is a diagram showing an SNP score calculated from an SNP associated with medial brachial melanin as a skin characteristic and its appearance frequency. FIG. 7A is a diagram showing the relationship between the SNP score calculated from the SNP related to the brightness of the cheeks as a skin characteristic and the brightness of the cheeks. FIG. 7B is a diagram showing an SNP score calculated from an SNP related to cheek brightness as a skin characteristic and its appearance frequency. FIG. 8A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the yellow color of the cheek as a skin characteristic and the yellow color of the cheek. FIG. 8B is a diagram showing an SNP score calculated from an SNP associated with yellow cheeks as a skin characteristic and its appearance frequency. FIG. 9A is a diagram showing the relationship between the SNP score calculated from the SNP associated with wrinkles as a skin characteristic and the wrinkles. FIG. 9B is a diagram showing an SNP score calculated from an SNP associated with wrinkles as a skin characteristic and its appearance frequency. FIG. 10A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the texture as a skin characteristic and the texture. FIG. 10B is a diagram showing an SNP score calculated from an SNP associated with texture as a skin characteristic and its appearance frequency. FIG. 11A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the beam as a skin characteristic and the beam. FIG. 11B is a diagram showing an SNP score calculated from an SNP associated with a beam as a skin characteristic and its appearance frequency. FIG. 12A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the sebum-forehead as a skin characteristic and the sebum-forehead. FIG. 12B is a diagram showing an SNP score calculated from an SNP associated with sebum-forehead as a skin characteristic and its appearance frequency. FIG. 13A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the water content-cheek as a skin characteristic and the water content-cheek. FIG. 13B is a diagram showing an SNP score calculated from an SNP associated with water content-cheek as a skin characteristic and its appearance frequency. FIG. 14A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the water content-arm as the skin characteristic and the water content-arm. FIG. 14 (B) is a diagram showing an SNP score calculated from an SNP associated with water content-arm as a skin characteristic and its appearance frequency. FIG. 15A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the barrier-cheek as a skin characteristic and the barrier-cheek. FIG. 15B is a diagram showing an SNP score calculated from an SNP associated with a barrier-cheek as a skin characteristic and its appearance frequency. FIG. 16A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the barrier-arm as a skin characteristic and the barrier-arm. FIG. 16B is a diagram showing an SNP score calculated from an SNP associated with a barrier-arm as a skin characteristic and its appearance frequency.

The present invention is a step of detecting SNPs related to skin characteristics,
The present invention relates to a method for determining skin characteristics, including a step of determining skin characteristics based on the detected SNP. Here, as SNPs related to skin characteristics, the following:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 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 is used.

In the present invention, the SNP is represented by an rs number (Reference SNP ID number). Detailed information on SNPs (positions and mutations on chromosomes) corresponding to each rs number is managed by the National Center for Biotechnology Information (NCBI), and is managed by the NCBI homepage (http://www.ncbi.nlm.). It can be referred to in nih.gov /).

Detection of SNPs may be performed by any known method. As an example, the nucleic acid of the subject is purified from a biological sample of the subject, for example, saliva, blood, mucous membrane, tissue piece, hair, etc., based on a conventional 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 is a method that enables detection of SNP in the purified nucleic acid. SNP can be detected by sequencing around the position of the target SNP, or it can be detected using a method based on the PCR method, a method using a DNA probe, or a method using mass spectrometry. You can also. Examples of PCR-based methods include SNP typing method, TaqMan PCR method, single nucleotide extension method, Pyrosequencing method, and Exonuclease Cycling Assay method. Examples of the method using a DNA probe include the Invader method (Comprehensive Genetic Polymorphism Analysis (SNP) Journal of Pharmacology, 125, 148-152, 2005). An SNP may be accompanied by another SNP that is in linkage disequilibrium. The target SNP can be detected by detecting the SNP that is in linkage disequilibrium with the target SNP. Therefore, in the present invention, the detection of SNP is not limited to directly detecting the target SNP, but also includes detecting the target SNP by detecting the SNP in linkage disequilibrium. And.

It is also possible to detect the presence of SNPs based on the base 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 in the data of the base sequence already determined. Therefore, the detection of the SNP in this case may be performed by inputting the base sequence data into the computer in which the SNP information is stored. In a more preferred embodiment, the input is input from the 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 by the present invention may be any race. On the other hand, since the type and abundance of SNPs can fluctuate between races, it is preferable to specify the SNP after specifying the race. In particular, when skin characteristics are detected with respect to human skin color, 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 hetero or homozygous presence of SNPs may work negatively or positively with respect to these skin characteristics. The SNP score can be calculated based on the number of negatively working SNPs and the number of positively working SNPs. As an example, the SNP score can be calculated by subtracting the number of negatively working SNPs from the number of positively working SNPs. As another example, the SNP score may be calculated by subtracting the number of positively working SNPs from the opposite, that is, the number of negatively working SNPs. By determining the relationship between the skin characteristics and the SNP score in advance, the skin characteristics in the subject can be determined based on the calculated SNP score.

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 characteristic is a skin shape characteristic, the following:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184 Is used. The skin shape characteristics can be further subdivided into wrinkles, textures, and firmness. If the skin shape characteristics are wrinkles: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017, and rs964184 At least one SNP of choice is used. If the skin shape characteristics are textured: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331, rs7799039 At least one SNP of choice is used. When the skin shape characteristic is firm, at least one SNP selected from the group consisting of the following: rs1256062, rs3760776, rs12931267, and rs2285053 is used. The relationship between these SNPs and the gene in which the SNP exists is as follows.

Among these SNPs, when the SNP whose above-mentioned action is displayed as negative (-) exists in a hetero or homozygous manner, it can be determined that wrinkles are unlikely to occur, while the above-mentioned action is displayed as positive (+). If the SNP being used is hetero or homozygous, it can be determined that wrinkles are likely to occur.

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 determining wrinkles is expressed by the following formula as an example, and the wrinkle state can be determined based on the SNP score.

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

If the skin characteristic is the skin color characteristic, the following:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830 rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880 At least one SNP selected from the group is used. The skin color characteristics can be further subdivided into the ground color of the skin, the skin color of the ultraviolet-exposed area, stains, brightness and yellowness. If the skin color characteristic is skin tone, then at least one SNP selected from the group consisting of: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 Is used. When the skin color characteristic is the skin color of the UV-exposed part of the skin, from the group consisting of: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201 and rs74653330 At least one SNP of choice is used. If the skin color characteristics are spots: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs11057830, rs11234027, rs12272004, rs1256062, rs1485766 , Rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201 and rs964184. When the skin color characteristic is brightness, 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.
If the skin color characteristic is yellowish, then: 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 is used.

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

Of these SNPs, SNPs whose effects are displayed as negative (-) can be determined to tend to decrease when their respective measurements of skin color characteristics are hetero or homozygous. On the other hand, SNPs whose effects are displayed as positive (+) can be determined to tend to increase when each measurement of color characteristics is present hetero or homo. The skin color characteristics are further subdivided into spots (spots, average area of spots), melanin amount (face cheek melanin, upper arm medial melanin), skin color (cheek brightness, cheek yellow), etc., according to the above table. can do. When SNPs that are displayed as positive with respect to spots are present in a hetero or homozygous manner, spots are likely to occur and their size tends to increase. When SNPs that are displayed as positive with respect to the amount of melanin are present in a hetero or homozygous manner, the amount of melanin tends to be high. When SNPs that are displayed as positive with respect to skin color are present hetero or homo, the skin color tends to be darker.

More specifically, with respect to stains, when the SNP is displayed as negative (-), the stain tends to be lighter, and when the SNP is displayed as positive (+), the stain tends to be darker. Regarding the spot average area, when the SNP is displayed as negative (-), the spot average area tends to be narrow, and when the SNP is displayed as positive (+), the spot average area tends to be wide. For facial cheek melanin and brachial medial melanin, the amount of melanin tends to decrease when the SNP is displayed as negative (-), and the amount of melanin tends to increase when the SNP is displayed as positive (+). .. Regarding the brightness of the cheeks, if the SNP is displayed as negative (-), the brightness of the cheeks is darkened, and if the SNP is displayed as positive (+), the brightness of the cheeks is brightened. Regarding the yellow color of the cheeks, the yellowish color tends to be lighter when the SNP is displayed as negative (-), and the yellowish color tends to be deeper when the SNP is displayed as positive (+).

Blemishes are pigmentation that occurs mainly on the face. The main cause of age spots is ultraviolet light, which is caused by the increased activity of melanocytes and the increased amount of melanin produced compared to other sites. In addition to ultraviolet rays, stress, lack of sleep, and disruption of female hormones also affect the formation of age spots. Spots also include inflammatory pigmentation, melasma, chloasma, freckles and the like. The average spot area indicates the size of the spot when it occurs. The stain may be determined visually or by any other method, but as an example, the index value of the stain can be determined using a device such as Via Evolution.

The inside of the upper arm is a place that is not easily affected by ultraviolet rays. Therefore, SNPs for the amount of melanin on the medial side of the upper arm show a genetic tendency for skin color, in other words, skin color in the absence of the effects of UV light. For example, a subject with a genetically high amount of melanin on the inside of the upper arm can be said to be a subject with a dark skin background. 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 ease of blackening due to the influence of ultraviolet rays.

Cheek brightness and yellowness are associated with dullness of the skin. Causes of dullness include melanin content, blood circulation, desiccation, 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 as an example, and the skin color characteristic can be determined based on the SNP score.

On the other hand, the SNP selected for determining the SNP score may be arbitrarily 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 characteristics are skin quality, the following:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs1107946, rs1126643, rs2241145, rs2282679 At least one SNP selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184 is used. Skin quality can be further subdivided into sebum content, water content, and skin barrier function. If the skin type is sebum, 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 quality is water content, select from the group consisting of: rs7501331, rs3760776, rs3829251, rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201 and rs9340799. At least one SNP is used. If the skin quality is a skin barrier function: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112, rs60178 , Rs74653330, rs7799039, rs8110862, and at least one SNP selected from the group consisting of rs9340799. The relationship between these SNPs and the genes in which SNPs are present is as follows:

The skin quality as a skin characteristic can be subdivided into the amount of sebum, the amount of water (cheek, arm), and the skin barrier function (cheek, arm) according to the above table. Regarding the amount of sebum, it refers to the skin where the measured value of the amount of sebum is high and the skin where the measured value of the amount of sebum tends to be low. Regarding the amount of water, good skin quality means that the amount of water is high, and poor skin quality means that the amount of water is low. Regarding the skin barrier function, the amount of water evaporation is measured, and the skin quality that tends to have a high value means that the skin barrier function is low, and the skin that tends to have a low amount of water evaporation means that the skin barrier function is high. ..

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 the determination of skin function is expressed by the following formula, and the skin function can be determined based on the SNP score. Each characteristic of subdivided skin function can be determined based on the SNP score below.

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

In another aspect of the invention, the invention relates to a computer that determines skin properties. Such a computer can carry out the above-mentioned method for determining skin characteristics. In a further method of the present invention, the present invention also relates to a method or a program for controlling a computer that determines the skin characteristics of the present invention, and a storage medium for storing the program. The computer of the present invention includes a storage unit, an input unit, an output unit, and a processing unit.

The storage unit includes a memory device such as RAM, ROM, and flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk and an optical disk. The storage unit stores data and instructions input from the input unit, calculation processing results performed by the processing unit, programs used for various processing of the computer, a database, and the like. The computer program may be installed via 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 is as follows:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 Information on 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. Memorize information on skin characteristics. The information on these SNPs may further store information on SNPs that are in linkage disequilibrium with the SNPs. The information about the SNP includes sequence information, and the information on the skin characteristics related to the SNP records the type and action of the skin characteristics, the SNP score, and the multiplier when present in the homo.

The input section includes an interface. The interface may be connected to, for example, 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 on the SNP and information on skin characteristics related to the SNP may be input from the input unit and stored in the storage unit. In addition, the target array information is input from the input unit. The input sequence information may be temporarily stored in the storage unit, or may be sent to the processing unit as it is. The sequence information of the target may be the whole genome sequence of the target or only a partial sequence of interest. The processing instruction in the processing unit can be given from the input unit via the operation unit.

The processing unit detects the presence of the 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 the SNP sequence information stored in the storage unit with the target sequence information input from the input unit, or the SNP sequence information stored in the storage unit in the target sequence information input from the input unit. The presence of SNP can be detected by searching for. The processing unit executes various arithmetic processes according to the program stored in the storage unit. The arithmetic processing is performed by the CPU included in the processing unit. This CPU includes a functional module that controls an input unit, a storage unit, and an output unit, and can perform various controls. Each of these parts may be composed of independent integrated circuits, microprocessors, firmware, and the like. The information about the existence of the SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit may directly store the information on the skin characteristics related to the SNP from the storage unit based on the existence of the SNP. Can also be read from the storage unit. Further, when a plurality of SNPs exist, the SNP score can be calculated based on the SNP information. Next, the processing unit processes so as to output the read skin characteristic information from the output unit.

The output unit is configured to output the skin characteristic information and / or the SNP score stored in the storage unit for the SNP 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 result of arithmetic processing, an output means such as a printer, or an interface unit for output to an external storage device or output via a network. You may.

In a preferred embodiment of the present invention, the computer of the present invention constitutes a server, and an input unit and an output unit are connected to a network via an interface unit, respectively. In this case, genome information or sequence information of a part of the genome can be provided from an individual terminal connected to the network, and the provided sequence information is processed by the server to detect the presence of SNP and skin. The characteristics can be determined and the determined skin characteristics can be output to the terminal.

Although it is possible to determine skin characteristics by detecting a single SNP, it is preferable to detect multiple SNPs to determine skin characteristics from the viewpoint of achieving better sensitivity. In order to determine skin characteristics based on the detection of multiple SNPs, as an example, clarify whether the SNP has a positive or negative effect on the skin characteristics, and give points according to the presence of the SNP. 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 examples, the relationship between the SNP score and the skin characteristics is shown based on the relationship between the SNP information and the skin characteristics obtained from 200 volunteers (FIGS. 3 to 16). These SNP scores vary depending on the population and the SNPs selected. Although not intended to be limited, for example, for 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 respect to stains, when the SNP score is 2 or more, more preferably 4 or more, it can be determined that stains are likely to occur due to aging. For example, with respect to the 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 aging.

When the skin characteristics are determined by the skin characteristic determination method of the present invention, counseling can be performed based on the 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 choice of cosmetics and supplements to use. As an example, among the skin color characteristics, the amount of melanin in the upper arm is related to the original skin color of the human being, and the amount of melanin in the face is related to the skin color affected by ultraviolet rays. Therefore, according to SNP analysis, the subject whose upper arm melanin amount is likely to be low while the facial melanin amount is increased is fair-skinned but susceptible to ultraviolet rays, and therefore requires more care for ultraviolet rays. It can be determined that it is a target. For such subjects, it is possible to propose a lifestyle that avoids UV rays and to use cosmetics containing stronger UV protection agents.

When it is determined that wrinkles are likely to occur, a component capable of enhancing the production of collagen fibers such as collagen and elastin and elastic fibers and / or suppressing the decomposition of elastic fibers such as a matrix metalloproteinase inhibitor. 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, winged bean extract, and mangosteen extract (advancement and future prospects of cosmetics usefulness evaluation technology, Yakuji Nippo Co., Ltd., (2001) Section 7, Wrinkle-Responsive Cosmetics, pp. 162-177).

If it is determined that troubles related to skin color characteristics such as age spots are likely to occur, we provide cosmetics and supplements containing ingredients that have UV blocking action, melanin production suppressing action, and / or keratin turnover promoting action. can do. Examples of such components include UV protective agents, vitamin C derivatives, hydroquinone, tranexamic acid, 4-methoxysalicylic acid potassium salt, arbutin, kojic acid, rucinol, vitamin C derivatives and the like (advancement of cosmetic usefulness evaluation technology). And Future Prospects, Yakuji Nippo, (2001), Section 6, Whitening Cosmetics, pp. 144-161). It is also possible to propose an appropriate makeup base and cosmetics, and a makeup method.

When it is determined that the skin function such as texture, beam, sebum, water content, and skin barrier function is inferior, cosmetics and supplements containing ingredients capable of enhancing the skin function can be provided. Also known are texture improving agents, sebum lowering agents, water content increasing promoters, skin barrier function improving agents, and the like. Examples of such ingredients include moisturizers, tranexamic acid, winged bean extract and the like.

In another aspect of the invention, it also relates to a kit for determining skin properties. The kit is as follows:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 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, or their linkage disequilibrium. Contains nucleic acid reagents for detecting SNPs. Such a kit may further include a nucleic acid extraction reagent and a purification reagent. In addition, an instruction manual explaining the relationship between the detected SNP and the skin condition may be included.

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

When a nucleic acid probe is used as the nucleic acid reagent, the kit may further include a probe detection reagent. As such a nucleic acid probe, an unfixed probe may be used, or a probe immobilized on a DNA chip can be used to detect a plurality of SNPs at the same time. Such a nucleic acid probe may be labeled so that a particular SNP can be detected.

All references referred to herein are incorporated herein by reference in their entirety.

The examples of the present invention described below are for purposes of illustration only and do not limit the technical scope of the present invention. The technical scope of the present invention is limited only by the description of the claims. Modifications of the present invention, for example, addition, deletion and replacement of the constituent elements of the present invention, can be made on condition that the gist of the present invention is not deviated.

Measurement of skin characteristic values As skin characteristic values, 200 female volunteers aged 35 to 59 years old have wrinkles, age spots, and skin color (facial melanin amount, skin (inside upper arm) melanin amount, brightness, yellow meat). , Skin condition (water content, barrier function, sebum amount, swelling, texture condition) was measured. For each measurement, the wrinkle state and the spot state were measured using Visia Evolution (manufactured by Canfield Scientific), and the index values of wrinkles and spots were calculated from the captured image by a dedicated analysis method and used for the analysis. The 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), and yellow (b ^* / colorimetric value) were measured. .. In addition, the skin color on the inside of the upper arm, which is a part not exposed to sunlight, was also measured, and the amount of melanin was calculated. The skin condition is measured by measuring the stratum corneum water content (Corneometer), percutaneous water evaporation amount (barrier function) (Vapometer), sebum amount (Sebumeter), and beam (Cutometer) using a dedicated commercially available device. Using the original measuring device, Skinvisiom II, we measured the texture disorder using dedicated analysis software.

Gene analysis (SNP genotyping)
Saliva was used as a gene analysis sample. Saliva was collected using Oragene® DNA OG-500 (DNA Genotek Inc.) to stabilize the DNA. DNA was purified from saliva, and SNP genotyping was performed using a DNA array to obtain information on preselected SNPs. The SNPs to be analyzed were selected from the past dermatological findings, which are expected to affect the skin characteristic values.

Statistical processing method For the relationship between skin characteristic values and SNP genotype, multiple comparison, multiple regression analysis, statistical analysis of odds ratio, case where prediction interval is set by optimal regression model, and control analysis are performed. It was decided by. Furthermore, we attempted to evaluate the relationship between multiple SNP genes related to skin characteristics by performing covariance structure analysis (SEM) and decision tree analysis, and to index the effect of SNP genes on skin characteristic values. It was.

Multiple comparison analysis Regarding the pair of skin characteristic value and gene SNP, it was analyzed which genotype SNP the distribution of skin characteristic value was different, and for quantitative data, multiple comparison test was performed by Tukey multiple comparisons. For qualitative data, the chi-square test and Fisher's exact test were applied. The SNPs selected by the multiple comparison analysis are shown in Table 4 below.

Multiple regression analysis As a result of simple regression analysis, it was shown that many characteristic values have a correlation with age (data not shown). Therefore, in order to separate the aging effect and the genetic effect, a multiple regression analysis was performed with genetic factors and age (numerical value) as variables. The standard partial regression coefficient and p-value were calculated for the relationship in which the coefficients of genetic factors became significant. An SNP having a positive sign of the standard partial regression coefficient 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.

The odds ratio 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 value changes with age, the threshold also changes with age. Here, a comparison was made between these two groups, with the top 1/4 of the skin characteristic values in a certain age range as the high group and the bottom 1/4 as the low group. As for the selection criteria of the control group and the risk group, when the skin characteristic value increased with aging, the increased group was set as the risk group, and conversely, when the skin characteristic value decreased, the decreased group was set as the risk group. .. Two genotype samples were selected for each SNP, a 2x2 contingency table for the control group and the risk group was prepared, and statistical tests were performed. "Same age" in the selection of control group and risk group was defined as one's age ± 5 years. Table 6 below shows the combinations of skin characteristic values and SNPs that were significant in Fisher's exact test among the odds ratios of the wild type and the hetero type or the homo type.

Covariance structure analysis (SEM) analysis SEM analysis is a method for modeling relationships between continuous variables, and is a model analysis that integrates multiple regression analysis and factor analysis. Categorical variables can be applied by replacing them with dummy variables. The model variables are observation variables and latent variables (construction concept), skin characteristic value data, age, and SNP polymorphism data are observation variables, and SNP polymorphism data is replaced with Wild → 0, Hetero → 1, Homo → 2. Treated with one dummy variable. The SEM model notation used lavaan notation, which allows flexible model description.

Analysis procedure (1) Define a model.
(2) Estimate the model parameters (parameters) so as to explain the distributed structure of the sample data to the maximum extent.
(3) Check the goodness-of-fit index of the model (an index showing how well the distributed structure of the sample data was 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 is completed.
(6) If there is a model variable with good goodness of fit but low reliability, the models excluding it were analyzed in (1) to (4) and compared.
If the goodness of fit is poor, improve the model with reference to the correction index (an index showing what kind of relationship should be added to the model to improve the goodness of fit), and analyze (1) to (4) for comparison. did.

Decision tree analysis In decision tree analysis, a continuous amount of skin characteristic value is used as the objective variable, and the branching condition is determined to minimize the ratio of the interclass variance and intraclass variance of the two separate objective variables. It was. Since age is included in the divergence factor, we did not analyze by age group, but modeled all samples.
Model variables are
(1) Objective variable (dependent variable): Skin characteristic value (continuous value)
(2) Explanatory variable (independent variable): Age group in increments of 5 years, SNP polymorphism.
Analysis procedure (1) Determine the combination of the objective variable (skin characteristic value) and the explanatory variable (SNP).
(2) The decision tree analysis continues to be divided so that the complexity parameter (CP) becomes smaller. At first, the analysis is performed on the condition that the division is continued as long as the CP decreases.
(3) Calculate the error rate of the model for each branch condition by the n-fold intersection confirmation method. In the n-fold intersection confirmation method, the data is divided into n sets, a decision tree is created using n-1 sets of the data, the remaining 1 set of data is discriminated, and the error rate of the result is calculated. Replace the test data and perform n evaluations.
(4) The Min + 1SE method was adopted as a stop condition.
(5) The tree created up to the division point of the stop condition was used as the decision tree.

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

Examination of indexing From the analysis results so far, we examined the indexing of the effect of SNP on the skin characteristic value. The relationship between SkinXX and SnpYY, which was discussed in this section, was simply point-counted. The increasing factor is +1 and the decreasing factor is -1. The SNPs shown below were selected for each characteristic value, and the score calculation formula, score frequency distribution, and Box Plot of 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 age spots Among the skin characteristics, the analysis of age spots is performed by the following formula:

Based on, the SNP score (stain) was calculated. The relationship between the SNP score (stains) and the stain score (index) and the relationship between the SNP score (stains) and the frequency are shown in FIGS. 3 (A) and 3 (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 average spot area Among the skin characteristics, the analysis of the average spot area is performed by the following formula:

Based on, the SNP score (stain average area) was calculated. The relationship between the SNP score (average area of stains) and the average area of stains (index) and the relationship between the SNP score (average area of stains) and frequency are shown in FIGS. 4 (A) and 4 (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 by the following formula:

Based on, the SNP score (facial cheek melanin) was calculated. The relationship between the SNP score (facial cheek melanin) and the facial melanin (index) and the relationship between the SNP score (facial cheek melanin) and the frequency are shown in FIGS. 5 (A) and 5 (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 medial brachial melanin Among the skin characteristics, analysis of medial brachial melanin is performed by the following formula:

Based on, the SNP score (melanin inside the upper arm) was calculated. The relationship between the SNP score (medial brachial melanin) and medial brachial melanin (index) and the relationship between the SNP score (medial brachial melanin) and frequency are shown in FIGS. 6 (A) and 6 (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 cheek brightness Among the skin characteristics, analysis of cheek brightness is performed by the following formula:

The SNP score (brightness of the cheeks) was calculated based on the above. The relationship between the SNP score (cheek brightness) and cheek brightness (L ^* : brightness) and the relationship between the SNP score (cheek brightness) and frequency are shown in FIGS. 7 (A) and 7 (B), respectively. It was.

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 cheek yellow Among the skin characteristics, the analysis of cheek yellow is performed by the following formula:

Based on, the SNP score (yellow cheek) was calculated. 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 8 (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, the analysis of wrinkles is performed by the following formula:

The SNP score (wrinkles) was calculated based on. The relationship between the SNP score (wrinkles) and the wrinkle score (index) and the relationship between the SNP score (wrinkles) and the frequency are shown in FIGS. 9 (A) and 9 (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, the texture analysis is based on the following formula:

Based on, 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 the frequency are shown in FIGS. 10 (A) and 10 (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。 Beam analysis Among the skin characteristics, the beam analysis is based on the following formula:

Based on, the SNP score (beam) was calculated. The relationship between the SNP score (beam) and the beam score (R7) and the relationship between the SNP score (beam) and the frequency are shown in FIGS. 11 (A) and 11 (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-forehead Among the skin characteristics, analysis of sebum-forehead is performed by the following formula:

Based on, the SNP score (sebum-forehead) was calculated. The relationship between the SNP score (sebum-forehead) and the sebum score (AU) and the relationship between the SNP score (sebum-forehead) and frequency are shown in FIGS. 12 (A) and 12 (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 based on the following formula:

Based on, the SNP score (water content-cheek) was calculated. The relationship between the SNP score (water content-cheek) and the buccal stratum corneum water content (AU), and the relationship between the SNP score (water content-cheek) and frequency are shown in FIGS. 13 (A) and 13 (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, water content-arm analysis is based on the following formula:

Based on, the SNP score (water content-arm) was calculated. The relationship between the SNP score (water content-arm) and the arm stratum corneum water content (AU) and the relationship between the SNP score (water content-arm) and frequency are shown in FIGS. 14 (A) and 14 (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。 Barrier-cheek analysis Among the skin characteristics, barrier-cheek analysis is performed by the following formula:

Based on, the SNP score (barrier-cheek) was calculated. The relationship between the SNP score (barrier-cheek) and the amount of transepidermal water loss (g / m ² h) and the relationship between the SNP score (barrier-cheek) and frequency are shown in FIGS. 15 (A) and 15 (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。 Barrier-arm analysis Among the skin characteristics, the barrier-arm analysis is based on the following formula:

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

In the case where the prediction interval was set by the optimal regression model, the number of control analysis subjects was increased to the number of subjects shown in Table 9 below, and further analysis was performed. Regarding the pair of skin characteristic value and genotype SNP, it was analyzed which genotype SNP the distribution of the skin characteristic value was different. For each skin characteristic, the optimum regression model shown in Table 10 was set from the plot of age and each measured value, and the width prediction interval of the standard deviation (σ) was determined. The sample group deviating from the width prediction interval to the upper part was defined as the high value group, and the sample group deviating from the lower part was defined as the low value group. The high-value group and the low-value group were designated as "cases", the others were designated as "controls", the chi-square test was applied, and the selected SNPs are shown in Table 11 below. Two types of analysis were performed to detect the effects of SNPs: dominant (overt) and recessive (latent). Dominant was (wild + hetero) vs homo, and recessive was wild vs (hetero + homo).

Claims (45)

below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 Detecting 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.
A method for determining skin characteristics, which comprises a step of determining skin characteristics based on the detected SNP. The determination method according to claim 1, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics. The skin characteristics are skin shape characteristics, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184 The determination method described in. The determination method according to claim 3, wherein the skin shape characteristic is selected from the group consisting of wrinkles, textures, and firmness. When the skin shape characteristics are wrinkles, the SNPs are: rs1800629, rs1107946, rs1501299, rs10515552, rs12785878, rs12051272, rs1126643, rs1256062, rs1485766, rs1799750, rs2234693, rs2246416, rs3760776, rs3865188, rs4065, rs6058017. The determination method according to claim 3, which is selected from the group consisting of. When the skin shape characteristics are textured, the SNPs are as follows: rs1256062, rs1799750, rs12931267, rs11057830, rs1107946, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs3829251, rs7501331 The determination method according to claim 3, which is selected from the group consisting of. When the skin shape characteristics are firm, the SNPs are: rs1256062, rs3760776, rs12931267, and rs2285053, rs1030868, rs10741657, rs11568737, rs1540771, rs1799724, rs1800012, rs1801133, rs1993116, rs2060793, rs2228479, rs2232228, rs224 The determination method according to claim 3, which is selected from the group consisting of rs2287074, rs41281112, rs492602, rs8326. The skin characteristics are skin quality, and the SNPs are as follows: rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1946 , Rs2241145, rs2282679, rs41281112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2785079, rs1667255, rs2046571, rs2227564 The determination method according to claim 2, which is selected from the group consisting of. The determination method according to claim 8, wherein the skin quality is selected from the group consisting of the amount of sebum, the amount of water, and the skin barrier function. When the skin type is the amount of sebum, the SNP is selected from the group consisting of the following: rs2987983, rs74653330, rs12931267, rs10882272, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs6058017, and rs964184. The determination method according to claim 9. When the skin quality is water content, the SNPs are as follows: rs7501331, rs3760776, rs3829251, and rs17822931, rs1126643, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs2282679, rs3785079, rs7201, rs9340799 The determination method according to claim 9, which is selected from the group consisting of. When the skin quality is a skin barrier function, the SNPs are as follows: rs1050565, rs17822931, rs1800414, rs2285053, rs3829251, rs1800629, rs11057830 rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs2282679, rs41281112 The determination method according to claim 9, wherein the determination method is selected from the group consisting of, rs7201, rs74653330, rs7799039, rs8110862, and rs9340799. The skin characteristics are the skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs83306 , Rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2227564, rs2228479, rs2232228 The determination method according to claim 2, wherein the determination method is selected from the group consisting of, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184. The determination method according to claim 13, wherein the skin color characteristic is selected from the group consisting of the ground color of the skin, the skin color of the ultraviolet-exposed area, stains, brightness and yellowness. When the skin color characteristic is the ground color of the skin, the SNP is selected from the group consisting of the following: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2287074, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326. , The determination method according to claim 14. From the following: rs2241145, rs6058017, rs1799750, rs1030868, rs2287074, rs2046571, rs2285053, rs10741657, rs2246416, rs1107946, rs7201, and rs74653330 14. The determination method according to claim 14, which is selected from the group consisting of. When the skin color characteristic is spots, the SNPs are: rs1030868, rs12785878, rs1799750, rs2046571, rs2241145, rs3829251, rs8326, rs833061, rs10515552, rs10741657, rs10882272, rs11057830, rs11234027, rs12272004, rs1256062 , Rs1540771, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2232228, rs2246416, rs2282679, rs2298585, rs2987983, rs4065, rs4880, rs492602, rs6058017, rs7201, rs964184. Method. Claimed to be selected from the group consisting of the following SNPs: rs2285053, rs6058017, rs74653330 and rs2246416, rs11057830, rs1126643, rs1799724, rs2228479, rs2232228, rs4654748, rs833061, and rs9340799 when the skin color characteristic is brightness. Item 14. The determination method according to item 14. When the skin color characteristic is yellowish, the SNPs are as follows: rs10741657, rs6058017, rs2241145, rs2285053, rs1799750, rs1030868, and rs2246416, rs1107946, rs1126643, rs12913832, rs17577, rs3785079, rs492602, rs74653330, rs833061 The determination method according to claim 14, which is selected from the group consisting of rs9340799. A counseling method based on skin characteristics determined by the method according to any one of claims 1 to 19. A method for providing a cosmetic, which comprises selecting a cosmetic according to the skin characteristics determined by the method according to any one of claims 1 to 19. A method for providing a supplement, which comprises selecting a supplement according to the skin characteristics determined by the method according to any one of claims 1 to 19. A computer that determines skin characteristics, such as:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 , Rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748. A memory unit that stores information on skin characteristics,
Input section for inputting user's DNA information,
A processing unit that detects the presence of a stored SNP in the input DNA information,
A computer that includes an output unit that outputs information on skin characteristics related to the detected SNP. 23. The computer according to claim 23, wherein the computer is a server, an input unit is a communication unit, and an output unit is a communication unit. The computer according to claim 23 or 24, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics. The skin characteristics are skin shape characteristics, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184 The computer described in. 26. The computer of claim 26, wherein the skin shape characteristics are selected from the group consisting of wrinkles, textures, and firmness. The skin characteristics are skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs1107946, rs1126643, rs2241145, rs2282679 25. The computer of claim 25, which is selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs964184. 28. The computer according to claim 28, wherein the skin type is selected from the group consisting of the amount of sebum, the amount of water, and the skin barrier function. The skin characteristic is the skin color characteristic, and the SNP is as follows:
rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs833061, rs10515552, rs10882272, rs11057830 rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2282679, rs2298585, rs2987983, rs3785079, rs3865188, rs4065, rs41281112, rs4654748, rs4880 25. The determination method of claim 25, selected from the group. The determination method according to claim 30, wherein the skin color characteristic is selected from the group consisting of the ground color of the skin, the skin color of the ultraviolet-exposed area, stains, brightness and yellowness. The memory unit further stores information on skin characteristics, cosmetics and supplements suitable for the skin characteristics, and a list of lifestyle-related improvement advice necessary for humans with the skin characteristics.
The invention according to any one of claims 23 to 31, which outputs, in addition to the information on the skin characteristics, cosmetics and supplements suitable for the skin characteristics, and advice on lifestyle improvement necessary for humans with the skin characteristics. Computer. A program that controls a computer that determines skin characteristics, including a storage unit, an input unit, a processing unit, and an output unit.
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061, rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 Information on 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. The information on the skin characteristics to be used is stored in the memory section,
Input the user's DNA information from the input section,
Have the processing unit detect the presence of the stored SNP in the input DNA information,
Have the output unit output information on skin characteristics related to the detected SNP.
The program. The program according to claim 33, wherein the computer is a server, an input unit is a communication unit, and an output unit is a communication unit. The program according to claim 33 or 34, wherein the skin characteristics are selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics. The skin characteristics are skin shape characteristics, and the SNP is as follows:
rs1256062, rs10515552, rs1107946, rs12785878, rs12931267, rs1501299, rs1799750, rs1800629, rs2285053, rs3760776, rs12051272, rs1030868, rs10741657, rs11057830, rs11234027, rs1126643, rs11568737, rs11234027, rs1126643, rs11568737, rs1485766, rs1540771 rs2010963, rs2060793, rs2108622, rs2228479, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs4065, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs8326, and rs964184 The program described in. 36. The program of claim 36, wherein the skin shape characteristics are selected from the group consisting of wrinkles, textures, and firmness. The skin characteristics are skin quality, and the SNP is as follows:
rs2987983, rs1050565, rs11057830, rs12931267, rs17822931, rs1800414, rs1800629, rs2285053, rs3760776, rs3829251, rs74653330, rs7501331, rs1030868, rs10515552, rs1061622, rs10882272, rs1107946, rs1126643, rs2241145, rs1107946, rs1126643, rs2241145, rs2282679 35. The program of claim 35, selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1667255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184. The program according to claim 38, wherein the skin quality is selected from the group consisting of the amount of sebum, the amount of water, and the skin barrier function. The skin characteristics are the skin color characteristics, and the SNPs are as follows: rs1030868, rs10741657, rs1107946, rs12785878, rs1799750, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074, rs3760776, rs3829251, rs6058017, rs74653330, rs8326, rs83306 , Rs10882272, rs11057830, rs11234027, rs1126643, rs12272004, rs1256062, rs12913832, rs1485766, rs1501299, rs1540771, rs17577, rs1799724, rs1800629, rs1993116, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2227564, rs2228479, rs2232228 35. The program of claim 35, selected from the group consisting of, rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184. The program according to claim 40, wherein the skin color characteristic is selected from the group consisting of the ground color of the skin, the skin color of the ultraviolet exposed part, the stain, the brightness and the yellowness. below:
rs1030868, rs1050565, rs10515552, rs10741657, rs11057830, rs1107946, rs1256062, rs12785878, rs12931267, rs1501299, rs17822931, rs1799750, rs1800414, rs1800629, rs2046571, rs2241145, rs2246416, rs2285053, rs2287074 rs8326, rs833061 rs11234027, rs16891982, rs17577, rs1799724, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rs7799039, rs10882272, rs1485766, rs1540771, rs7201, rs964184, rs1993116, rs2060793, rs2282679 , Rs12051272, rs1126643, rs2234693, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061622, rs8110862, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748. , A kit for determining skin characteristics. 42. The kit of claim 42, wherein the kit further comprises a nucleic acid extraction and purification reagent. The kit according to claim 42 or 43, wherein the nucleic acid reagent is a primer capable of selectively amplifying SNP, and the kit further comprises a polymerase and dNTP. The kit according to claim 42 or 43, wherein the nucleic acid reagent is a nucleic acid probe, and the kit further comprises a probe detection reagent.

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