JPWO2018101449A1 - Skin characteristic analysis method - Google Patents

Abstract

A method for determining human skin characteristics based on genetic elements by SNPs analysis, a computer for determining skin characteristics, and a program for controlling the computer. Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss Rs 8326, rs 833061 rs 11234 927, rs 1677 1982, rs 1799 724, rs 180 0012, rs 2010 963, rs 2108622, rs 2 232 228, rs 37 50 79, rs 7 990 269, rs 10 482 272, rs 17 40 s17, rs 15 116 71, rs 1993 116, rs 20 60 793 gs. Based on detecting at least one SNP selected from the group consisting of: rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41128112, rs1061622, rs8110862, rs12340799, rs12377462, rs1667255, rs12913832, and rs4654748.

Description

  The present invention relates to a method of 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 a beauty guidance service, cosmetics, supplements and the like.

  The skin characteristics are different for each individual, and in the past, individual counseling was mainly performed in order to provide a cosmetic that matched the skin characteristics of each individual. Counseling has been conducted based on customer self-diagnosis questionnaire results and objective information of the skin, such as information about texture measured by the device, skin barrier function, water content, elasticity, viscosity and the like.

  However, the customer's self-diagnosis is a subjective judgment and does not accurately reflect the customer's skin characteristics. In addition, objective information measured by the device is only digitizing the condition at the time of examination about the skin condition that can change daily, and it was difficult to estimate future skin problems and the like that may occur.

  If skin problems that may occur in the future can be predicted in advance, it is very useful to be able to take measures for that prevention.

  In recent years, skin testing based on SNP analysis of genes has been proposed, and in particular, for genes encoding proteins directly involved in skin quality, the relationship between SNPs and skin quality has been studied (Patent Documents 1 to 4) ). As a result, methods for predicting skin characteristics and skin problems have been provided based on SNP analysis results. In these studies, SNPs are examined for genes that have been shown to be directly involved in skin texture, such as wrinkles and stains. As such target genes, for example, MC1R, MMP1, SOD2, GPX1, ASIP and the like are targeted. On the other hand, since genes affecting skin characteristics of skin are diverse, it is necessary to investigate the relationship between SNPs in more genes and skin characteristics.

JP, 2006-191858, A JP, 2015-73503, A JP, 2013-226096, A JP, 2011-234664, A JP, 2014-193155, A JP, 2014-45729, A

Comprehensive gene polymorphism analysis (SNP) Journal of Pharmacology (2005), 125, 148-152

  The purpose 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 by targeting SNPs in a broader range of proteins, in addition to proteins that were previously known to be associated with skin characteristics, in 200 subjects. . As a result, SNPs related to skin characteristics, in particular, wrinkles, skin color, and skin functions were identified, and the present invention has been achieved.

Therefore, the present invention is the following invention:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss detecting at least one SNP selected from the group consisting of rs492602, rs11206423, rs2385163, rs11568737, rs1801133, rs2228479, rs41281112, rs1061082, rs8130862, rs12377462, rs1267255, rs12913832, and rs4654748,
The present invention relates to a method of determining skin characteristics, including the step of determining skin characteristics based on the detected SNPs.

In yet another aspect, the invention is a computer for determining skin characteristics, the computer comprising:
below:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss rs492602, rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41128112, rs1061082, rs8110862, rs12340799, rs12377462, rs1667255, rs12913832, and related SNPs related to at least one SNP selected from the group consisting of A storage unit storing information on skin characteristics to be
An input unit for inputting user's DNA information,
A detection unit that detects the presence of stored SNPs in input DNA information;
The present invention relates to a computer including an output unit that outputs information on skin characteristics related to a detected SNP. A further aspect of the present invention relates to a method of controlling such a computer and / or a control program, and further relates to a storage medium storing such a control program.

  The invention further relates to a method of providing a cosmetic, a supplement and / or a cosmetic method on the basis of a method of determining skin characteristics and computer determined skin characteristics determining skin characteristics.

  The present invention makes it possible to determine skin characteristics and to provide cosmetics, supplements and / or cosmetic methods 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 view showing the relationship between the SNP score calculated from the SNP associated with the stain as a skin characteristic and the stain. FIG. 3 (B) is a view showing the SNP score calculated from the SNP associated with the stain as the skin characteristic and the appearance frequency thereof. FIG. 4A is a view showing the relationship between the average score area and the SNP score calculated from the SNP associated with the average spot area as a skin characteristic. FIG. 4 (B) is a view showing the SNP score calculated from the SNP associated with the average spot area as the skin characteristic and the appearance frequency thereof. FIG. 5A is a view 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. 5 (B) is a view showing a SNP score calculated from a SNP associated with facial cheek melanin as a skin characteristic and the appearance frequency thereof. FIG. 6 (A) is a view showing a relationship between a SNP score calculated from a SNP associated with upper arm inner melanin as a skin characteristic and upper arm inner melanin. FIG. 6 (B) is a view showing the SNP score calculated from the SNP associated with upper arm inner melanin as a skin characteristic and the appearance frequency thereof. FIG. 7A is a diagram showing the relationship between the brightness of a cheek and the SNP score calculated from the SNP associated with the brightness of the cheek as a skin characteristic. FIG. 7 (B) is a figure which shows the SNP score calculated from SNP linked | related with the brightness of the cheek as a skin characteristic, and its appearance frequency. FIG. 8 (A) is a diagram showing the relationship between the SNP score calculated from the SNP associated with the yellow of the cheek as a skin characteristic and the yellow of the cheek. FIG. 8 (B) is a figure which shows the SNP score calculated from SNP linked | related with the yellow of a cheek as a skin characteristic, and its appearance frequency. FIG. 9A is a view showing the relationship between the SNP score calculated from the SNP associated with wrinkles as the skin characteristic and the wrinkles. FIG. 9 (B) is a view showing the SNP score calculated from the SNP associated with the wrinkle as the skin characteristic and the appearance frequency thereof. FIG. 10A is a view showing the relationship between the SNP score calculated from the SNP associated with texture as the skin characteristic and the texture. FIG. 10 (B) is a view showing the SNP score calculated from the SNP associated with texture as a skin characteristic and the appearance frequency thereof. FIG. 11A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the beam as the skin characteristic and the beam. FIG. 11 (B) is a figure which shows the SNP score calculated from the SNP linked | related with a ray as a skin characteristic, and its appearance frequency. FIG. 12 (A) is a view showing the relationship between a SNP score calculated from SNPs associated with sebum as a skin characteristic and sebum as a fore. FIG. 12 (B) is a view showing the SNP score calculated from the SNP associated with sebum as a skin characteristic and the appearance frequency thereof. FIG. 13 (A) is a view showing a relationship between moisture content--SNP score calculated from SNP associated with cheek as skin characteristics and moisture content--cheek. FIG. 13 (B) is a view showing the water content as the skin characteristic--the SNP score calculated from the SNP associated with the cheek and the appearance frequency thereof. FIG. 14 (A) is a view showing a relationship between a moisture content--an SNP score calculated from SNPs associated with arms as skin characteristics and a moisture content--arm. FIG. 14 (B) is a diagram showing a water content as a skin characteristic--a SNP score calculated from a SNP associated with an arm, and the appearance frequency thereof. FIG. 15A is a view showing the relationship between the SNP score calculated from the SNP associated with the barrier-cheek as the skin characteristic and the barrier-cheek. FIG. 15 (B) is a view showing the SNP score calculated from the SNP associated with the barrier-cheek as the skin characteristic and the appearance frequency thereof. FIG. 16A is a diagram showing the relationship between the SNP score calculated from the SNP associated with the barrier arm as the skin characteristic and the barrier arm. FIG. 16 (B) is a figure which shows the SNP score calculated from SNP linked | related with the barrier-arm as a skin characteristic, and its appearance frequency.

The present invention comprises the steps of detecting SNPs associated with skin characteristics,
The present invention relates to a method of determining skin characteristics, including the step of determining skin characteristics based on the detected SNPs. Here, the following SNPs are associated with skin characteristics:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss rs492602, rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41281112, rs1061082, rs8134062, rs9340799, rs12377462, rs1667255, rs12913832, and rs4654748.
At least one SNP selected from the group consisting of

  In the present invention, SNPs are indicated by rs number (Reference SNP ID number). The detailed information (the position and mutation on the chromosome) of the SNP corresponding to each rs number is managed by the National Center for Biotechnology Information (NCBI), and the NCBI website (http: //www.ncbi.nlm. It can be referred to at nih.gov/).

  The detection of SNP 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, such as saliva, blood, mucous membranes, tissue fragments, hair, etc., according to a standard method, and the 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 enables the detection of the SNP in the purified nucleic acid. Sequencing around the position of the target SNP can be performed to detect the SNP, or detection can be performed using a PCR-based method, a method using a DNA probe, or a method using mass spectrometry. You can also. Methods based on PCR include SNP typing method, TaqMan PCR method, single base extension method, Pyrose sequencing method, Exonuclease Cycling Assay method and the like. As a method using a DNA probe, the Invader method etc. may be mentioned (overall gene polymorphism analysis (SNP) Pharmacology, 125, 148-152, 2005). A SNP may be accompanied by another SNP that is in linkage disequilibrium. The SNP of interest can be detected by detecting the SNP in linkage disequilibrium with the SNP of interest. Therefore, in the present invention, detection of SNP is not limited to direct detection of the target SNP, but includes detection of the target SNP by detecting the SNP in linkage disequilibrium I assume.

  It is also possible to detect the presence of a SNP based on the sequence of an individual who has already been sequenced. In this case, the presence of the SNP can be detected by examining the sequence of the position where the SNP is present in the data of the already determined base sequence. Therefore, the detection of the SNP in this case may be performed by inputting base sequence data to a computer in which the SNP information is stored. In a more preferred aspect, the input can be input from the terminal via the Internet, the SNP can be detected on the server, and the detection result can be output to the terminal via the Internet.

  The subject whose skin characteristic is detected by the present invention may be any race. On the other hand, it is preferable to specify the SNP after specifying the race because the type and abundance of the SNP may vary among the races. The target race is preferably a yellow race (mongoloid), particularly when skin characteristics are detected with respect to human skin color.

  The skin characteristics can be determined for at least one selected from the group consisting of skin shape characteristics, skin quality, and skin color characteristics. The relationship between the SNPs and their skin characteristics may be that the hetero or homo presence of the SNP may work negatively or positively for these skin characteristics. The SNP score can be calculated based on the number of SNPs working in the negative and the number of SNPs working in the positive. As one 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 acting SNPs from the reverse, ie, the number of negatively acting SNPs. By determining the relationship between the skin characteristic and the SNP score in advance, the skin characteristic of 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:
717u7'7'7'7'7'7'7'17's rs2010963, rs2060793, rs2108622, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs378509, rs3829251, rs3865188, rs41265112, rs492602, rs6058017, rs7501331, rs7799039, rs83 Is used. The skin shape characteristics can be further subdivided into wrinkles, textures and stiffness. When the skin shape characteristic is a wrinkle, it comprises the followings: At least one SNP selected is used. When the skin shape characteristics are texture, the following members are composed of the following: At least one SNP selected is used. When the skin shape property 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 genes in which the SNPs are present is as follows.

Among these SNPs, when the SNP whose effect is indicated as negative (-) exists in hetero or homo, it can be determined that wrinkles are unlikely to occur, while the effect is indicated as positive (+) If the SNP being identified is present in hetero or homo, 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 wrinkle determination is represented by the following formula as an example, and based on the SNP score, the wrinkle status can be determined.

On the other hand, the SNPs selected for the determination of the SNP score (wrinkle) may optionally be removed.

If the skin characteristic is a skin color characteristic, the following:
rs1030868, rs10741657, rs1107946, rs12785878, rs1798755, rs2046571, rs2241145, rs2246416, rs2285053, rs2760776, rs3820776, rs3829251, rs6058017, rs8310561, rs10305552, rs10882272r7407s. rs1501299, rs1540771, rs17597, rs1799724, rs1830626, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2229285, rs2298585, rs3185850, rs4065, rs41815112, rs465417s. At least one SNP selected from the group is used. The color characteristics of the skin can be further subdivided into the background color of the skin, the skin color of the UV-exposed area, stains, brightness and yellowness. When the color characteristic of the skin is the ground color of the skin, at least one SNP selected from the group consisting of the following: Is used. If the color characteristic of the skin is the skin color of the UV-exposed part of the skin, the group consisting of: At least one SNP selected is used. When the color characteristic of the skin is a stain, the following: , At least one SNP selected from the group consisting of rs1799724, rs18006296, rs1993116, rs2060793, rs2227563, rs2232228, rs2264416, rs2228416, rs2298658, rs2987985, rs4065, rs4880, rs492602, rs6058017, rs7201, and rs961844. When the color characteristic of the skin is brightness, at least one SNP selected from the group consisting of: Is used.
If the skin's color characteristics are yellowish, it consists of the following: At least one SNP selected from the group is used.

The relationship between the SNPs associated with skin color characteristics and the genes in which the SNPs are present is as follows:

  Among these SNPs, SNPs for which the above action is indicated as negative (-) are determined to have a tendency to decrease when each measured value of skin color characteristics is present as hetero or homo. It is possible, on the other hand, that SNPs for which the effect is indicated as positive (+) can be determined to tend to increase when each measure of the color characteristic is present hetero or homo. The color characteristics of the skin are further subdivided into spots (spots, spot average area), melanin content (facial melanin, upper arm inner melanin), skin color (brightness of cheek, yellow of cheek) according to the above-mentioned table. can do. When the SNPs displayed as positive with respect to stains are present in hetero or homo, stains tend to occur and the size also tends to be large. When a SNP that is displayed as positive with respect to the amount of melanin is present in hetero or homo, there is a tendency that the amount of melanin is increased. When the SNPs displayed as positive with respect to the skin color are present in hetero or homo, there is a tendency for the skin color to become dark.

  More specifically, with regard to stains, when the SNP is indicated as negative (-), the stain is lightened, and when the SNP is indicated as positive (+), the stain tends to be dark. The average spot area tends to narrow the average spot area when having a SNP indicated as negative (-), and to widen the average spot area when having a SNP indicated as positive (+). For face cheek melanin and upper arm inner melanin, the amount of melanin decreases when having a SNP indicated as negative (-), and the amount of melanin tends to increase when having a SNP indicated as positive (+) . With regard to the brightness of the cheek, if the SNP is indicated as negative (-), the brightness of the cheek is dark, and if the SNP is indicated as positive (+), the brightness of the cheek is bright. With regard to yellowing of the cheek, it has a tendency to lighten yellowish if it has a SNP denoted as negative (-) and to have a yellowish tint if it has a SNP denoted as positive (+).

  Stain refers to the deposition of pigment mainly on the face. The main cause of the stains is ultraviolet light, which is caused by the increased activity of melanocytes due to the ultraviolet light and the increase in melanin production relative to other sites. In addition to UV rays, stress, lack of sleep, and collapse of female hormones also affect the formation of stains. Spots also include inflammatory pigmentation, senile pigmented spots, liver spots, sputum spots and the like. The stain average area indicates the size of the stain if it occurs. The stain may be determined visually or its presence may be determined by any other method, but as an example, an index value of the stain can be determined using a device such as Visia Evolution.

  The upper arm inside is a place that is not easily affected by ultraviolet light. Therefore, the SNP related to the amount of melanin on the inside of the upper arm shows a genetic tendency for the ground color of the skin, in other words, the skin color without the influence of ultraviolet light. For example, a subject that is genetically rich in the amount of melanin inside the upper arm can be said to be a subject with a darker skin color. On the other hand, the face is always a part affected by ultraviolet light. Therefore, the SNP related to the amount of melanin in the face indicates the susceptibility to blackening due to the effect of ultraviolet light.

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

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 skin color characteristic determination is represented by the following formula as an example, and based on the SNP score, the skin color characteristic can be determined.

On the other hand, the SNPs selected for the determination of 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 quality, then:
rs2987983, rs10105065, rs11057830, rs12822267, rs17008241, rs18006429, rs2285053, rs3760776, rs3821531, rs74653330, rs7501331, rs10158682, rs10105272, rs1107 946, rs1126424s, caesi, ca. At least one SNP selected from the group consisting of rs9340799, rs12377462, rs1485766, rs16891982, rs17577, rs1800012, rs2228479, rs3785079, rs1267255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184 is used. Skin quality can be further subdivided into sebum, water and skin barrier functions. When the skin quality is a sebum amount, at least one SNP selected from the group consisting of . When the skin quality is water content, it is selected from the group consisting of the followings: At least one SNP is used. If the skin quality is a skin barrier function, the following: , At least one SNP selected from the group consisting of rs74653330, rs7799039, rs8110862, and rs9340799. The relationship between these SNPs and the genes in which the SNPs are present is as follows:

Skin quality as a skin characteristic can be subdivided into sebum, water (cheeks, arms) and skin barrier function (cheeks, arms) according to the above table. With regard to the amount of sebum, this refers to skin in which the measured value of sebum increases and in which the measured value of sebum tends to decrease. With regard to the amount of water, good skin quality means that the amount of water is large, and bad skin quality means that the amount of water is small. Regarding the skin barrier function, the amount of water evaporation is measured, and the skin quality whose value is likely to be high means that the skin barrier function is low, and the skin whose water evaporation is likely to be low 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 skin function determination is represented by the following equation, and based on such SNP score, skin function can be determined. Each characteristic of the subdivided skin function can be determined based on the following SNP score.

On the other hand, the SNPs selected for the determination of 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 can implement the method of determining skin characteristics described above. According to a further method of the present invention, the present invention also relates to a method of controlling or controlling a computer for determining a skin characteristic of the present invention, as well as 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 has a RAM, a ROM, a memory device such as a flash memory, a fixed disk device such as a hard disk drive, or a portable storage device such as a flexible disk or an optical disk. The storage unit stores data and instructions input from the input unit, results of arithmetic processing performed by the processing unit, and the like, as well as programs and databases used for various processes of the computer. The computer program may be installed via a computer readable recording medium such as a CD-ROM or a DVD-ROM, or 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:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss rs492602, rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41128112, rs1061082, rs8110862, rs12340799, rs12377462, rs1667255, rs12913832, and related SNPs related to at least one SNP selected from the group consisting of And store the information of the skin characteristic to be The information on these SNPs may further store information on SNPs in linkage disequilibrium with the SNPs. The information on the SNP includes sequence information, and the information on the skin characteristic associated with the SNP records the type and action of the skin characteristic, the SNP score, and the multiplier when present in homo.

  The input unit 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 the skin characteristic associated with the SNP may be input from the input unit and stored in the storage unit. Further, 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 interest may be the entire genome sequence of interest or may be only a partial sequence of interest. An instruction of processing 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 sequence information of the object. More specifically, the processing unit can detect the presence of the SNP in the sequence information of the target from the sequence information of the SNP stored in the storage unit and the sequence information of the target input from the input unit. Comparison of the sequence information of the SNP stored in the storage unit with the sequence information of the target input from the input unit, or the sequence information of the SNP stored in the storage unit in the sequence information of the target input from the input unit The presence of the SNP can be detected by searching for The processing unit executes various arithmetic processing in accordance with the program stored in the storage unit. The arithmetic processing is performed by the CPU included in the processing unit. The CPU includes an input unit, a storage unit, and a functional module that controls an output unit, and can perform various controls. Each of these units may be configured by an integrated circuit, a microprocessor, firmware, and the like that are independent of one another. The information about the presence of the SNP detected by the processing unit may be temporarily stored in the storage unit, or the processing unit directly outputs information from the storage unit to the skin characteristic information related to the SNP based on the presence of the SNP. Can also be read from the storage unit. In addition, when there is a plurality of SNPs, SNP scores can also be calculated based on the SNP information. Next, the processing unit processes the read skin characteristic information so as to be output 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 the arithmetic processing in the data processing unit. The output unit may be a display device such as a liquid crystal display or the like that directly displays the result of arithmetic processing, or an output unit such as a printer, or an interface unit for outputting to an external storage device or outputting via a network. May be

  In a preferred aspect of the present invention, a computer according to the present invention constitutes a server, and an input unit and an output unit are connected to a network through an interface unit. In this case, genome information or partial sequence information of genome can be provided from individual terminals connected to the network, and the provided sequence information is processed at the server to detect the presence of SNP, 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, it is preferable to detect a plurality of SNPs and determine skin characteristics in terms of achieving better sensitivity. In order to determine skin characteristics based on the detection of a plurality of SNPs, as an example, it is clarified whether the SNP has a positive or negative effect on the skin characteristics, and points are given according to the presence thereof. , By calculating the SNP score. By predetermining the association between the SNP score and the skin characteristic, the skin characteristic can be determined from the SNP score.

  In the example, based on the relationship between SNP information and skin characteristics obtained from 200 volunteers, the relationship between the SNP score and the skin characteristics is shown (FIGS. 3 to 16). These SNP scores vary depending on the population and the SNPs selected. Although not intended to be limited, for example, with regard to wrinkles, it can be judged that wrinkles are likely to occur due to aging when the SNP score is 2 or more, more preferably 3 or more. For example, with regard to spots, it can be judged that spots are likely to be generated by aging when the SNP score is 2 or more, more preferably 4 or more. For example, with regard to texture, when the SNP score is 2 or more, more preferably 3 or more, it can be judged that texture tends to deteriorate due to aging.

  When skin characteristics are determined by the method for determining skin characteristics according to the present invention, counseling can be performed based on information on such skin characteristics. Thus, one aspect of the invention also relates to a counseling method. Such counseling can provide advice on lifestyle choices and the choice of cosmetics and supplements to use. As an example, among the color characteristics of skin, the amount of melanin in the upper arm is related to the background color of human skin, and the amount of melanin on the face is related to the skin color affected by ultraviolet light. Therefore, while SNP analysis tends to lower the amount of melanin in the upper arm while subjects with increased amounts of melanin in the face are fair, they are more susceptible to the effects of ultraviolet light, thus requiring more care for ultraviolet light. It can be determined to be the subject. For such subjects, it is possible to propose a lifestyle that avoids ultraviolet light and to use cosmetics with stronger ultraviolet light protection agents.

  A component capable of enhancing the production of collagen fibers such as collagen and elastin and elastic fibers and / or capable of suppressing the degradation of elastic fibers, such as a matrix metalloproteinase inhibitor, when it is determined that wrinkles are likely to occur. We can provide cosmetics and supplements including. Such components include extracellular matrix degradation inhibitors such as matrix metalloproteinase inhibitors, and more particularly collagenase inhibitors and the like. Specific components include retinol, deer bear extract, mangosteen extract, etc. (Progress in technology for evaluating the usefulness of cosmetics and prospects for the future, Yakuhin Nippo Co., Ltd., (2001) Section 7, Wrinkle-care cosmetics, pages 162 to 177).

  When it is judged that problems concerning the color characteristics of the skin such as stains are likely to occur, cosmetics and supplements are provided that contain components having a UV cut action, a melanin formation suppressive action, and / or a keratinous turnover promotion action. can do. Such components include, for example, UV protective agents, vitamin C derivatives, hydroquinone, tranexamic acid, potassium salt of 4-methoxysalicylic acid, arbutin, kojic acid, rucinol, vitamin C derivatives and the like (prospective of cosmetic utility evaluation techniques And future prospects, Yakuji Nippo, (2001), Section 6, Whitening Cosmetics, pp. 144-161). In addition, it is also possible to propose an appropriate makeup base, a cosmetic proposal, and a makeup method.

  When it is determined that skin functions such as texture, skin, sebum, water content, and skin barrier function are inferior, it is possible to provide a cosmetic or supplement containing a component capable of enhancing the skin function. Improvement agents for skin texture, agents for reducing sebum, agents for increasing water content, agents for improving skin barrier function and the like are known. Such ingredients include, for example, moisturizers, tranexamic acid, deer bear extract and the like.

Another aspect of the invention also relates to a kit for the determination of skin characteristics. The kit includes the following:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss rs492602, rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41128112, rs1061082, rs8110862, rs12340799, rs12377462, rs1667255, rs12913832, or rs4654748 that is at least one SNP or chain imbalance thereof It contains nucleic acid reagents for detecting SNPs. Such a kit may further contain a nucleic acid extraction reagent and a purification reagent. In addition, instructions for explaining the relationship between the detected SNP and the skin condition may be included.

  Such nucleic acid reagents include, by way of example, primers capable of selectively amplifying SNPs, DNA polymerase, dNTPs, and optionally amplification buffer. Primers capable of amplifying the SNP can be arbitrarily designed for each SNP.

  When a nucleic acid probe is used as a nucleic acid reagent, the kit may further include a probe detection reagent. Such a nucleic acid probe may use an unfixed probe, or one immobilized on a DNA chip can be used to simultaneously detect a plurality of SNPs. Such nucleic acid probes may be detectably labeled to particular SNPs.

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

  The embodiments of the present invention described below are for illustrative purposes only and do not limit the technical scope of the present invention. The technical scope of the present invention is limited only by the claims. Modifications of the present invention, for example, additions, deletions and replacements of the constituent features of the present invention can be made without departing from the spirit of the present invention.

Measurement of skin characteristic values As skin characteristic values, 200 female volunteers aged 35 to 59, skin wrinkles, stains, skin color (facial melanin, skin (upper arm inner) melanin, brightness, yolk) And skin condition (water content, barrier function, sebum content, firmness, texture condition) were measured. In each measurement, the wrinkle condition and the stain condition were calculated using Visia Evolution (manufactured by Canfield Scientific), the index value of the wrinkle and stain was calculated from the photographed image by a dedicated analysis method, and used for analysis. The skin color was analyzed using a spectrophotometer CM-700d (Konica Minolta), and the melanin amount, brightness (L ^* , colorimetric value) and yellow (b ^* , colorimetric value) of the face cheek were measured. . In addition, the skin color on the inside of the upper arm, which is a site not exposed to sunlight, was also measured to calculate the amount of melanin. Skin condition measures stratum corneum moisture content (Corneometer), transcutaneous moisture loss (barrier function) (Vapometer), sebum volume (Sebumeter), agar (Cutometer) using a dedicated commercial device, The texture of the texture was measured using Skinvisiom II, which is an original measurement device, using dedicated analysis software.

Genetic 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. From the past dermatological findings, SNPs to be analyzed were selected as those expected to have an influence on skin characteristic values.

Method of statistical processing Relationship between skin characteristic value and SNP genotype, multiple comparison, multiple regression analysis, statistical analysis of odds ratio, cases where prediction interval is set by optimal regression model, and control analysis are performed It was decided by. In addition, we try to evaluate the relationship between multiple SNP genes related to skin characteristics by performing covariance structural analysis (SEM) and decision tree analysis, and index the influence of SNP genes on skin characteristics. The

Multiple Comparison Analysis With respect to skin characteristic value and gene SNP pairs, it was analyzed at which genotype type SNP the distribution of the skin characteristic value was different, and for quantitative data, multiple comparison tests were performed 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 As a result of single regression analysis, many characteristic values were shown to be correlated with age (data not shown). Therefore, in order to separate aging effects and genetic effects, multiple regression analysis was performed using genetic factors and age (numerical values) as variables. Standard partial regression coefficients and p-values were calculated for relationships in which genetic factor coefficients became significant. The SNP having a positive sign of the standard partial regression coefficient indicates that the skin characteristic value increases when there is a mutation, and the skin characteristic value decreases due to the mutation if it is negative. The SNPs selected in the multiple regression analysis are shown in Table 5 below.

The odds ratio threshold was set and skin characteristic data were 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 value also changes with age. Here, the comparison was made between the two groups, with the top 1/4 of the skin characteristic value in a certain age range as the high-order group and the bottom 1/4 as the low-order group. The selection criteria of the control group and the risk group were analyzed by setting the increasing group as the risk group if the skin characteristic value increases with aging, and conversely, setting the decreasing group as the risk group if decreasing. . Samples of two genotypes were selected for each SNP, and a 2 × 2 contingency table of control group and risk group was prepared and a statistical test was performed. The “same age” in the selection of the control group and the risk group was the age ± 5 years of their own. Among the wild type and hetero type or homo type odds ratios, combinations of skin characteristic values and SNPs that became significant by the Fisher exact test are shown in Table 6 below.

Covariance Structural Analysis (SEM) Analysis SEM analysis is a method for modeling the relationship between continuous variables, and is a model analysis integrating multiple regression analysis and factor analysis. Categorical variables can be applied by replacing them with dummy variables. Model variables are observation variables and latent variables (construct concept), skin characteristic value data, age, SNP polymorphism data are observation variables, and SNP polymorphism data is replaced by Wild → 0, Hetero → 1, Homo → 2 1 Treated with two dummy variables. The model notation of SEM used lavaan notation which allows flexible model description.

Analysis procedure (1) Define a model.
(2) Estimate model parameters (parameters) so as to maximally explain the distributed structure of sample data.
(3) Check the fitness index of the model (index showing how well the dispersion structure of the sample data can be explained).
(4) Check the size and reliability (p value) of the model parameters.
(5) Analysis ends if the degree of fitness and parameters are good.
(6) If there is a model variable with a good degree of matching but with low reliability, the analysis of (1) to (4) is performed and compared with the model excluding it.
If the degree of conformity is not good, the model is improved with reference to the correction index (an index indicating what kind of relationship is added to the model to improve the degree of conformity), and the analysis of (1) to (4) is made did.

Decision Tree Analysis In decision tree analysis, a continuous quantity of skin characteristic values is used as the objective variable, and branching conditions are determined so as to minimize the ratio between the interclass variance and the intraclass variance of the two groups of objective variables divided. The Since age is included in the bifurcation factor, we did not analyze by age, but did modeling for all samples.
Model variables are
(1) Objective variable (dependent variable): skin characteristic value (continuous value)
(2) Explanatory variable (independent variable): Age group at 5 years, SNP polymorphism was used.
Analysis procedure (1) Determine the combination of the objective variable (skin characteristic value) and the explanatory variable (SNP).
(2) Decision tree analysis continues division so that complexity (CP: Complexity Parameter) becomes small. In the beginning, analysis is performed on the condition that division continues as long as CP decreases.
(3) Calculate the error rate of the model for each branch condition by the n-fold cross validation method. In the n-fold cross-validation method, data is divided into n sets, n-1 sets of them are used to create a decision tree, the remaining set of data is determined, and the error rate of the result is calculated. Replace test data and perform n evaluations.
(4) The Min + 1 SE method was adopted as the stop condition.
(5) The tree created up to the division point of the stop condition is taken as the decision tree.

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

Examination of indexing Based on the analysis results up to now, we considered indexing of the influence of SNP on skin characteristic value. We simply counted the relationship between SkinXX and SnpYY mentioned in this section. The increase factor is +1, and the decrease factor is -1. The SNPs shown below were selected for each characteristic value, and the calculation formula of the score, the frequency distribution of the score, and the BoxPlot of the skin characteristic value 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 spots Among the skin characteristics, analysis of spots, the following formula:

The SNP score (spots) was calculated based on. The relationship between the SNP score (spot) and the spot score (index), and the relationship between the SNP score (spot) and the 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 average spot area Among the skin characteristics, analysis of average spot area, the following formula:

The SNP score (spot area) was calculated based on. The relationship between the SNP score (stain mean area) and the average stain area (index) and the relationship between the SNP score (stain mean area) and the 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 skin characteristics , analysis of facial cheek melanin, the following formula:

The SNP score (facial cheek melanin) was calculated based on. 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 (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 upper arm inner melanin Among the skin characteristics , analysis of upper arm inner melanin, the following formula:

Based on, the SNP score (upper arm inner melanin) was calculated. The relationship between the SNP score (upper arm inner melanin) and upper arm inner melanin (index) and the relationship between the SNP score (upper arm inner melanin) and the 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 cheek brightness Among skin characteristics , analysis of cheek brightness, the following formula:

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

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 skin characteristics , analysis of cheek yellow, the following formula:

The SNP score (buccal yellow) was calculated based on. The relationship between the SNP score (buccal yellow) and the cheek yellow (b ^* : color value), and the relationship between the SNP score (buccal yellow) and the 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, analysis of wrinkles, the following formula:

The SNP score (wrinkle) was calculated based on The relationship between the SNP score (wrinkle) and the wrinkle score (index) and the relationship between the SNP score (wrinkle) and the 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。 Analysis of texture Among the skin characteristics, analysis of texture, 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 (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。Of the analysis skin characteristics of the beam, analysis of the beam, the following formula:

The SNP score (beam) was calculated based on 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 (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 skin characteristics , analysis of sebum-forehead, 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 the frequency are shown in FIG. 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。 Water content-cheek analysis Among the skin characteristics, water content-cheek analysis, the following formula:

Based on, the SNP score (water content-cheek) was calculated. The relationship between the SNP score (water content-cheek) and buccal stratum corneum water content (AU) and the relationship between the SNP score (water content-cheek) and the frequency are shown in FIG. 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。 Water content-analysis of arms Among skin characteristics, water content-analysis of arms, the following formula:

Based on, the SNP score (water content-arms) was calculated. The relationship between the SNP score (water content-arm) and the hornet layer water content (AU), and the relationship between the SNP score (water content-arm) and the frequency are shown in FIG. 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。Of the barrier-cheek analysis skin characteristics, the barrier-cheek analysis has the following formula:

The SNP score (barrier-buccal) was calculated based on The relationship between the SNP score (barrier-buccal) and the buccal transdermal water loss (g / m ² h), and the relationship between the SNP score (barrier-buccal) and the frequency are shown in FIGS. 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 represented by the following formula:

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

The case where the prediction interval was set by the optimal regression model, and the control analysis subject were increased to the number of subjects shown in Table 9 below, and further analysis was performed. With respect to the skin characteristic value and the genotype SNP pair, it was analyzed at 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 plots of age and each measurement value, and a width prediction interval of standard deviation (σ) was determined. The sample group which deviates to the upper part from the width prediction section is regarded as the high value group, and the sample group which deviates to the lower part is regarded as the low value group. The high value group and the low value group were used as “case” and the others as “control”, and a chi-square test was applied, and selected SNPs are shown in Table 11 below. The detection of the influence of SNP analyzed in two ways, dominant (overtness) and recessive (latency). Dominance was (wild + hetero) vs homo, recessive was wild vs (hetero + homo).

Claims (45)

below:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss detecting at least one SNP selected from the group consisting of rs492602, rs11206423, rs2385163, rs11568737, rs1801133, rs2228479, rs41281112, rs1061082, rs8130862, rs12377462, rs1267255, rs12913832, and rs4654748,
A method of determining skin characteristics, comprising the step of determining skin characteristics based on the detected SNPs.   The determination method according to claim 1, wherein the skin characteristic is selected from the group consisting of a skin shape characteristic, a skin quality, and a skin color characteristic. The skin characteristic is a skin shape characteristic, and the SNP is as follows:
717u7'7'7'7'7'7'7'17's rs2010963, rs2060793, rs2108622, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs83 Determination method described in.   The method according to claim 3, wherein the skin shape characteristic is selected from the group consisting of wrinkles, texture and firmness.   When the skin shape characteristics are wrinkles, the SNPs are: The method according to claim 3, wherein the method is selected from the group consisting of   When the skin shape property is texture, the SNPs are as follows: rs1256062, rs179975, rs12931267, rs11057830, rs11047946, rs11234027, rs16891982, rs1797724, rs1790012, rs1800012, rs2010962, rs2108228, rs2328501, rs3829251, rss7901331, rs7795031, The method according to claim 3, wherein the method is selected from the group consisting of   When the skin shape characteristics are firm, the SNPs are: The 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, rs10510565, rs11057830, rs12931267, rs17822931, rs18002431, rs18006529, rs2760576, rs3760776, rs3825351, rs7501331, rs10150868, rs10616222, rs10882172, rs10882, rs10 , Rs2241145, rs2282679, rs4105112, rs6058017, rs7201, rs7799039, rs8110862, rs9340799, rs12377462, rs1185766, rs1501299, rs16891982, rs17577, rs3l78l7, rs1l6l5s5s, rs2046574, rs2046571, rs2l5l75s The method according to claim 2, wherein the method 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 sebum, water and skin barrier function.   When the skin quality is a sebum amount, the SNP is selected from the group consisting of: The determination method of Claim 9.   When the skin quality is water content, the SNPs are the following: The method according to claim 9, wherein the method is selected from the group consisting of   When the skin quality is a skin barrier function, the SNPs are as follows: rs105065, rs17822931, rs18008414, rs2285053, rs3829251, rs18105628, rs10515552, rs1061522, rs10882272, rs11107946, rs1121643, rs2241145, rsl2282l05l0l5 The method according to claim 9, wherein the 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, rs2276776, rs3820776, rs6025 717, rs5330330, rs8330, rs8326, rs5326 rssl 53 5 53 Ss ss s s s s s s s s s s s s s s s s s s s s s s s 107 1027s, rs 10 2607 52, rs 2 10 569 47, rs 17 02 724, rs 17 02 724, rs 20 16 93 36, rs 20 10 793, rs 20 27 793, rs 20 27 793, rs 2 06 593, rs 17 02 724; The method according to claim 2, wherein the 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 characteristics are selected from the group consisting of the background color of the skin, the skin color of the UV-exposed area, stains, lightness and yellowness.   The SNP is selected from the group consisting of the followings: rs3760776, rs2246416, rs2241145, rs10741657, rs6058017, rs2285704, rs74653330, rs1256062, rs17577, rs3865188, rs41281112, and rs8326 when the skin color characteristic is the ground color of the skin The determination method according to claim 14.   When the skin color characteristic is the skin color of the UV-exposed area of the skin, the SNPs are as follows: The method according to claim 14, wherein the method is selected from the group consisting of   When the color characteristic of the skin is a stain, the SNPs are as follows: 15. The method according to claim 14, wherein rs 1540771, rs 1799724, rs 18006296, rs 1993 116, rs 2060793, rs 2206793, rs 2227 648, rs 2232228, rs 2264416, rs 2229658, rs 2298 585, rs 2987 585, rs 4605, rs 4802, rs 496022, rs 6058017, rs 7201, rs 96414, claim 14 Method.   When the color characteristic of the skin is brightness, the SNP is selected from the group consisting of: The determination method of claim 14.   When the skin has a yellowish color, the SNPs are as follows: The method according to claim 14, wherein the method is selected from the group consisting of rs9340799.   20. A counseling method based on skin characteristics determined by the method according to any one of claims 1-19.   A method for providing a cosmetic comprising: selecting a cosmetic according to the skin characteristic determined by the method according to any one of claims 1 to 19.   A method for providing a supplement, comprising selecting a supplement according to the skin characteristic determined by the method according to any one of claims 1 to 19. A computer for determining skin characteristics, comprising:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss Rs 8326, rs 833061 rs 11234 927, rs 1677 1982, rs 1799 724, rs 180 0012, rs 2010 963, rs 2108622, rs 2 232 228, rs 37 50 79, rs 7 990 269, rs 10 482 272, rs 17 40 s17, rs 15 116 71, rs 1993 116, rs 20 60 793 gs. Information related to at least one SNP selected from the group consisting of: Storage unit storing information of skin characteristics,
An input unit for inputting user's DNA information,
A processing unit for detecting the presence of stored SNPs in input DNA information;
A computer including an output unit that outputs information on skin characteristics related to the detected SNP.   The computer according to claim 23, wherein the computer is a server, the input unit is a communication unit, and the 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 characteristic is a skin shape characteristic, and the SNP is as follows:
717u7'7'7'7'7'7'7'17's rs2010963, rs2060793, rs2108622, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3785079, rs3829251, rs3865188, rs41281112, rs492602, rs6058017, rs7501331, rs7799039, rs7 Computer.   27. The computer of claim 26, wherein the skin shape characteristics are selected from the group consisting of wrinkles, textures, and firmness. The skin characteristic is skin quality, and the SNP is as follows:
rs2987983, rs10105065, rs11057830, rs12822267, rs17008241, rs18006429, rs2285053, rs3760776, rs3821531, rs74653330, rs7501331, rs10158682, rs10105272, rs1107 946, rs1126424s, caesi, ca. 26. The computer according to claim 25, wherein the computer is selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs16771982, rs17577, rs1800012, rs2228479, rs3785079, rs1465255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, rs964184.   29. The computer of claim 28, wherein the skin quality is selected from the group consisting of oil content, water content, and skin barrier function. The skin characteristic is a skin color characteristic, and the SNP is as follows:
rs1030868, rs10741657, rs1107946, rs12785878, rs1798755, rs2046571, rs2241145, rs2246416, rs2285053, rs2760776, rs3820776, rs3829251, rs6058017, rs8310561, rs10305552, rs10882272r7407s. rs1501299, rs1540771, rs17597, rs1799724, rs1830626, rs2010963, rs2060793, rs2227564, rs2228479, rs2232228, rs2229285, rs2298585, rs3185850, rs4065, rs41815112, rs465417s. 26. The method of determination according to claim 25, selected from the group.   31. The method according to claim 30, wherein the color characteristics of the skin are selected from the group consisting of the background color of the skin, the skin color of the UV-exposed area, stains, lightness and yellowness. The storage unit further stores information of skin characteristics, cosmetics and supplements suitable for the skin characteristics, and a list of advice on lifestyle habit improvement necessary for humans of the skin characteristics,
The composition according to any one of claims 23 to 31, which outputs cosmetics and supplements suitable for the skin information and advice on lifestyle habit improvement necessary for humans of the skin characteristic in addition to the information on the skin characteristics. Computer. A program for controlling a computer for determining skin characteristics comprising a storage unit, an input unit, a processing unit and an output unit, the program comprising:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss rs8326, rs833061, rs11234027, rs16751982, rs175972, rs1790012, rs1800012, rs2010963, rs2108622, rs2232228, rs3785079, rss7989039, rs10882272, rs1540771, rsl94184, rs1993116, rs2060793 rss rs492602, rs12051272, rs1126643, rs3865188, rs11568737, rs1801133, rs2228479, rs41128112, rs1061082, rs8110862, rs12340799, rs12377462, rs1667255, rs12913832, and related SNPs related to at least one SNP selected from the group consisting of Storing information on the skin characteristics to be
Input user's DNA information from the input unit,
Have the processing unit detect the presence of the stored SNP 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 claim 33, wherein the computer is a server, the input unit is a communication unit, and the output unit is a communication unit.   35. The program according to claim 33, wherein the skin characteristic is selected from the group consisting of a skin shape characteristic, a skin quality, and a skin color characteristic. The skin characteristic is a skin shape characteristic, and the SNP is as follows:
717u7'7'7'7'7'7'7'17's rs2010963, rs2060793, rs2108622, rs2232228, rs2234693, rs2241145, rs2246416, rs2287074, rs3728579, rs3829251, rs3865188, rs41285112, rs492602, rs6058017, rs7501331, rs7799039, rs83 The program described in.   37. The program according to claim 36, wherein the skin shape properties are selected from the group consisting of wrinkles, texture and firmness. The skin characteristic is skin quality, and the SNP is as follows:
rs2987983, rs10105065, rs11057830, rs12822267, rs17008241, rs18006429, rs2285053, rs3760776, rs3821531, rs74653330, rs7501331, rs10158682, rs10105272, rs1107 946, rs1126424s, caesi, ca. 36. The program according to claim 35, wherein the program is selected from the group consisting of rs9340799, rs12377462, rs1485766, rs1501299, rs17577, rs1800012, rs2228479, rs3785079, rs1267255, rs2046571, rs2227564, rs2246416, rs4065, rs4880, rs492602, and rs964184.   39. The program according to claim 38, wherein the skin quality is selected from the group consisting of oil content, water content, and 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, rs2276776, rs3820776, rs6025 717, rs5330330, rs8330, rs8326, rs5326 rssl 53 5 53 Ss ss s s s s s s s s s s s s s s s s s s s s s s s 107 1027s, rs 10 2607 52, rs 2 10 569 47, rs 17 02 724, rs 17 02 724, rs 20 16 93 36, rs 20 10 793, rs 20 27 793, rs 20 27 793, rs 2 06 593, rs 17 02 724; 36. The program of claim 35, wherein the program is selected from the group consisting of: rs41281112, rs4654748, rs4880, rs492602, rs7201, rs9340799, and rs964184.   41. The program according to claim 40, wherein the skin color characteristics are selected from the group consisting of ground color of skin, skin color of UV-exposed area, stains, brightness and yellowness. below:
Rs 1030 868, Rs 10 10 50 565, Rs 10 15l 5757, Rs 10 10 517 553, Rs 1 1079 946, Rs 125 6062, Rs 12 785 878, Rs 12 31 267, Rs 15 22 999, Rs 17 29 925, Rs 17 9750, Rs 18 04 0062, Rs 24 14 714, Rs 2 24 5416, Rs 22 50 535, 7 ss Rs 8326, rs 833061 rs 11234 927, rs 1677 1982, rs 1799 724, rs 180 0012, rs 2010 963, rs 2108622, rs 2 232 228, rs 37 50 79, rs 7 990 269, rs 10 482 272, rs 17 40 s17, rs 15 116 71, rs 1993 116, rs 20 60 793 gs. , At least one nucleic acid reagent for detecting at least one SNP selected from the group consisting of , Kit for determination of skin characteristics.   43. The kit of claim 42, wherein the kit further comprises nucleic acid extraction and purification reagents.   44. The kit according to claim 42 or 43, wherein the nucleic acid reagent is a primer capable of selectively amplifying a SNP, and the kit further comprises a polymerase, dNTP.   44. 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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