WO2022075747A1 - Genetic polymorphic markers related to elasticity and tensile strength of human hair and use thereof - Google Patents

Abstract

The present invention relates to a prediction model for elasticity and tensile strength of hair on the basis of genetic polymorphic markers, etc., the present invention having an effect of being capable of, for respective individuals, predicting in advance and with high accuracy an individual with low-elasticity and low-tensile strength hair. In addition, on the basis of information obtained through a prediction method, prediction kit, and prediction model of the present invention, the present invention is expected to find application in the development of personalized medical devices, pharmaceuticals and cosmetics, and active ingredients, etc. capable of improving or maintaining in a current state the strength and elasticity of low-elasticity and low-tensile strength hair.

Description

Genetic polymorphic markers related to human hair elasticity and tensile strength and uses thereof

The present invention relates to a genetic polymorphic marker related to human hair elasticity and tensile strength, and uses thereof.

The present invention claims priority based on Korean Patent Application No. 10-2020-0129071 filed on October 07, 2020, and all contents disclosed in the specification and drawings of the application are incorporated herein by reference.

Recently, as the demand for medical services gradually shifts from treatment of diseases to prevention through risk prediction for each disease, the importance of technology for predicting the possibility of disease in advance is increasing. Currently, genes are mainly used as a tool for predicting individual disease risk, and there is an increasing demand for predicting disease risk using individual genetic tests and reducing future medical expenses through preemptive management of environmental factors. is the trend The rapidly increasing demand for direct to consumer genetic test (DTC) can be seen as supporting this.

In addition, as people's interest in their appearance gradually increases, more and more people seek wellness for skin and hair. In particular, interest in hair, which determines the appearance of a person, is increasing, and the demand for customized cosmetics to predict and improve the elasticity and tensile strength of hair among the characteristics of hair for each individual is increasing.

On the other hand, thanks to the development of genome research technology, the genome-wide association study (GWAS) method, which simultaneously examines the relationship between single nucleotide polymorphism (SNP) and disease occurrence in a person, is trending has been achieved Whole genome association analysis refers to a method of statistically analyzing associations with diseases by searching for the genotypes of about 500,000 to 2 million SNPs. To date, various genetic mutations have been discovered worldwide by this method, and attempts have been made to identify susceptibility genes to diseases using GWAS, but the decisive factor has not yet been identified.

Accordingly, the present inventors performed GWAS analysis in detecting a variant using the same sample size to confirm the genotype related to the tensile strength and elasticity of individual hair. As a result, significant SNPs were identified, The invention was completed.

In order to solve the above problem, the present inventors selected a specific gene having a significant correlation with human hair elasticity and tensile strength and a single nucleotide polymorphism (SNP) marker of the corresponding gene, and using the same, the elasticity of human hair Alternatively, the present invention was completed by developing a SNP marker composition for diagnosis or prediction of tensile strength.

Accordingly, it is an object of the present invention to provide a SNP marker composition for diagnosis or prediction of elasticity or tensile strength of human hair.

Another object of the present invention is to provide a composition for diagnosis or prediction of elasticity or tensile strength of human hair.

Another object of the present invention is to provide a kit for diagnosing or predicting the elasticity or tensile strength of human hair.

However, the technical problem to be achieved by the present invention is not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

In order to solve the above problems, the present invention provides a SNP marker composition for diagnosing or predicting elasticity or tensile strength of human hair, comprising at least one SNP selected from the group consisting of the following first SNPs to 135th SNPs:

In addition, the present invention provides a composition for diagnosing or predicting elasticity or tensile strength of human hair, comprising, as an active ingredient, an agent for detecting or amplifying one or more SNPs selected from the group consisting of the first SNP to the 135th SNP. .

In addition, the present invention provides a use for diagnosing or predicting the elasticity or tensile strength of human hair of a composition comprising as an active ingredient an agent for detecting or amplifying one or more SNPs selected from the group consisting of the first SNP to the 135th SNP. .

In one embodiment of the present invention, the agent for detecting the SNP may be a probe capable of detecting one or more SNPs selected from the group consisting of the first SNP to the 135th SNP, but is not limited thereto.

In another embodiment of the present invention, the agent amplifying the SNP may be a primer set capable of detecting one or more SNPs selected from the group consisting of the first SNP to the 135th SNP, but is not limited thereto. .

In addition, the present invention provides a kit for diagnosing or predicting elasticity or tensile strength of human hair, comprising the composition.

In one embodiment of the present invention, the kit may be an RT-PCR kit or a microarray chip kit, but is not limited thereto.

In addition, in the present invention, when one or more SNPs selected from the group consisting of the first SNPs to the 135th SNPs are identified from a nucleic acid sample isolated from an individual, the hair is diagnosed as having low elasticity and low tensile strength, or hair with low elasticity and low tensile strength. It provides an information providing method for diagnosing or predicting the elasticity or tensile strength of hair, including the step of predicting that hair will occur.

In addition, in the present invention, when one or more SNPs selected from the group consisting of the first SNPs to the 135th SNPs are identified from a nucleic acid sample isolated from an individual, it is diagnosed as hair with low elasticity and low tensile strength, or with low elasticity and low tensile strength. It provides a method for diagnosing or predicting hair elasticity or tensile strength, comprising the step of predicting hair growth.

In one embodiment of the present invention, the SNP is sequencing, exome sequencing, microarray hybridization, allele specific PCR, dynamic allele hybridization technique ( dynamic allele-specific hybridization), PCR extension analysis, and Taqman technique, but may be identified by one or more methods selected from the group consisting of, but is not limited thereto.

The prediction method, prediction kit and prediction model of low-elasticity and low-tensile strength hair using the single nucleotide polymorphism marker of the present invention can predict individuals with low-elasticity and low tensile strength hair with high accuracy in advance for each individual. It works. Furthermore, based on the information obtained through the prediction method, prediction kit, and prediction model of the present invention, personalized medical devices, medicines and cosmetics, active ingredients, etc. that can improve or maintain the strength and elasticity of low-elasticity and low-tensile strength hair It is expected that it can be applied to the development of

1 is a view showing a ROC (receiver operating characteristic) curve derived based on the risk of low elasticity and low tensile strength hair according to the present invention.

The present inventors confirmed that a specific gene and thousands of single nucleotide polymorphisms (SNPs) present on the gene are associated with low elasticity and low tensile strength hair. In order to construct a more accurate prediction system, 135 SNPs out of the thousands of SNPs were selected, and 15 SNPs were selected again to construct a low elasticity, low tensile strength hair risk prediction model.

In one embodiment of the present invention, in order to increase the accuracy of diagnosis or prediction, there is a history that can affect the elasticity or tensile strength of the hair, such as having damaged the scalp or performing a perm, dyeing, etc. on the hair within the last 3 months Those with or suffering from diseases were excluded from the study subjects, and SNPs associated with low elasticity and low tensile strength hair were obtained by analyzing the genes of the selected study subjects (see Examples 1 and 2).

In another embodiment of the present invention, association analysis using the SNP markers of the test group/control group was performed to detect the genotype associated with low elasticity and low tensile strength hair, and compared with the normal control group, individuals with low elasticity and low tensile strength hair 135 SNPs observed in a statistically significant number were selected (see Example 3).

Hereinafter, the present invention will be described in detail.

As used herein, "polynucleotide" or "nucleic acid" refers to deoxyribonucleic acid (DNA) or ribonucleic acid (RNA) in the form of single or double strands. Unless otherwise limited, known analogs of natural nucleotides that hybridize to nucleic acids in a manner analogous to naturally occurring nucleotides are also included. In general, DNA consists of four bases: adenine (A), guanine (G), cytosine (C), and thymine (T), and RNA consists of uracil (U) instead of thymine (Uracil, U). has a In a nucleic acid double strand, A forms a hydrogen bond with T or U, and C forms a hydrogen bond with the base G, and the relationship between these bases is called 'complementary'.

The term “complementary” means that a targeting moiety in a nucleic acid molecule is sufficient to selectively hybridize to a target (eg, an EDN gene) under certain hybridization or annealing conditions, specifically physiological conditions (in a cell). It means complementary, which may have one or more mismatched nucleotide sequences, and has a meaning encompassing both substantially complementary and perfectly complementary, and more specifically means completely complementary.

In the present specification, when expressing the mutation of a gene, 'c.' means a mutation in the protein coding region, and '(base position) (single nucleotide) (symbol >) (single nucleotide)' means at the base position It means that the preceding indicated base is replaced by the following indicated base.

As used herein, 'polymorphism' refers to the occurrence of two or more alternative sequences or alleles (or alleles) within a genetically determined population, and 'single nucleotide polymorphism (SNP)' refers to one polymorphism of the base. Specifically, a single base (A, T, C, or G) in the genome refers to the diversity of DNA sequences that occur between members of a species or between chromosomes of an individual. For example, when three DNA fragments from different individuals (eg, AAGT[A/A]AG, AAGT[A/G]AG, AAGT[G/G]AG) contain differences in a single base , called two alleles (A or G), and in general almost all SNPs have two alleles. In addition, when the SNP is genetically closely related to a specific disease, the SNP is mutated in one base at a specific position compared to an identified normal or wild-type (WT) individual or allele. it also means

On the other hand, 'mRNA (messenger RNA or messenger RNA)' is an RNA that serves as a blueprint for polypeptide synthesis (protein translation, translation) by transferring the genetic information of the base sequence of a specific gene to the ribosome during protein synthesis. Using the gene as a template, single-stranded mRNA is synthesized through the transcription process.

As used herein, the term “marker” refers to a nucleotide sequence used as a reference point when identifying genetically unspecifiedly related loci. The term also applies to nucleic acid sequences complementary to marker sequences, such as nucleic acids used as primer sets capable of amplifying the marker sequence. The location on the genetic map of a genetic marker is referred to as a genetic locus.

As used herein, the term “gene marker” may be used interchangeably with terms such as a DNA marker, a biomarker, and a molecular marker. The marker can be usefully used because it can rapidly distinguish traits without being affected by the cultivation environment or growth period of crops. A genetic marker is a method of indicating polymorphism between individuals by targeting differences in the nucleotide sequence of DNA, which is the essence of genetic phenomena. (Restriction Fragment Length Polymorphism) probes or SCAR (Sequence Characterized Amplified Region) markers are being used.

As used herein, the term “allele” means that one gene present at the same locus of a homologous chromosome has different traits.

As used herein, the term “elasticity” or “elasticity” is a characteristic of hair that the hair tries to support at a right angle from the scalp surface, and is related to 'k (Stiffness)', which is the modulus of elasticity in Hooke's law, It is different from the F elastic force, which is a restoring force that acts in the opposite direction to gravity to keep the hair at a right angle from the scalp surface.

In one embodiment of the present invention, the proximal part (about 3 cm) of the occipital hairs of 401 study subjects was obtained, and the cross-sectional area of the hair was measured using a laser scanning micrometer (LSM-6200). The sample, which has measured the cross-sectional area, is fixed at both ends of the hair with a clamp, mounted on a flexible Miniature Tensile Tester (MTT-175) machine, the pulling force is increased at both ends until the hair sample is cut, and the force at the time of cutting is increased. measured.

Therefore, the term “elasticity and tensile strength” of hair as used herein is determined by a method of measuring the tensile length, stress, and tensile force of the hair by pulling the hair based on the force measured at this time, and the force per unit area of the hair It is expressed in units of (gmf/sq micron).

In addition, as used herein, “low elasticity and low tensile strength hair” refers to hair whose values measured by the above method are below the cut-off point that can distinguish the lower 15% (lower 59 people based on 401 people). was defined as The cut value suggested in the present invention was 0.0285 (gmf/sq micron).

Therefore, in the present specification, the low elasticity and low tensile strength hair is lower 50%, lower 40%, lower 35%, lower 30%, lower 25%, lower 20%, lower 15%, lower 10%, lower 9%, lower 8%, lower 7%, lower 6%, lower 5%, lower 4%, lower 3%, lower 2%, or lower 1% may refer to hair having power per unit area of hair, but It is not limited.

In the present specification, the low elasticity and low tensile strength hair has a strength per unit area of 0.05 (gmf / sq micron) or less, 0.03 (gmf / sq micron) or less, 0.028 ( gmf / sq micron) or less, or about 0.0285 (gmf / sq micron) or less sq micron) or less, but is not limited thereto.

As used herein, the term “diagnosis” refers to determining a subject's susceptibility to a particular disease or condition, determining whether a subject currently has a particular disease or disorder, It is a concept that includes both determining the prognosis of an affected subject, or therametrics (eg, monitoring the condition of an object to provide information on treatment efficacy).

First, the present invention can provide a marker composition for diagnosing or predicting elasticity or tensile strength of human hair comprising one or more SNPs selected from the group consisting of the following first SNPs to 135th SNPs:

In addition, the present invention provides a composition for diagnosing or predicting low elasticity and low tensile strength hair, comprising as an active ingredient an agent for detecting or amplifying one or more SNPs selected from the group consisting of the first to 135th SNPs.

In the present invention, the composition for diagnosis or prediction of elasticity or tensile strength of human hair may be a composition for diagnosis or prediction of low elasticity and low tensile strength hair, but is not limited thereto.

The above-mentioned first SNP to 135 SNP may be located on the base sequence of SEQ ID NO: 1 to SEQ ID NO: 135, respectively. In the above-mentioned nucleotide sequences of SEQ ID NO: 1 to SEQ ID NO: 135, the base corresponding to the SNP position according to the present invention is represented by r, and based on the SNP position, the sequence 100 nt in the 5' direction, the 3' direction The sequence 100 nt is indicated. For example, the nucleotide sequence of SEQ ID NO: 1 (rs_id, rs74708245) indicates the SNP position as r, and the nucleotide sequence of 100 nt in length is indicated on both sides based on this, and a total length of 201 nt is indicated. In addition, when the base indicated by r is identified as, for example, the majority allele T or the minor allele C, r = t or c is indicated in the identification number <223> item of the sequence list. The nucleotide sequence of SEQ ID NO: 1 to SEQ ID NO: 135 is used for the purpose of specifying the position of the SNP in an individual, particularly a human, and therefore, the length of the nucleotide sequence of SEQ ID NO: 1 to SEQ ID NO: 135 is in the indicated range. The present invention is not limited by the

When the above-mentioned rs_IDs of the first to 135th SNPs are not searched on genebank dbSNP, they can be interpreted as follows according to the order of description: For example, the second SNP, 6:147531955:CATT:C is number 6 The 147531955th base on the chromosome may refer to a SNP mutated from CATT to the minor allele C. For example, the 30th SNP, 10:52789962:G:GT may refer to a SNP in which the 52789962th base on chromosome 10 is mutated from G to the minor allele GT.

As used herein, the term “detection” means measuring and confirming the presence or absence of a target substance (SNP in the present invention), or measuring and confirming a change in the presence level of a target substance am. Therefore, the “agent” according to the present invention is an agent capable of specifically binding to and recognizing the site containing the SNP according to the present invention or amplifying the site containing the SNP, specifically, at the site containing the SNP. It may be a set of primers capable of specifically amplifying a probe capable of specifically binding, a polynucleotide including a region including the SNP, or a polynucleotide complementary thereto.

As used herein, the term “primer” is a short single-stranded oligonucleotide that serves as a starting point of DNA synthesis. A primer binds specifically to a polynucleotide as a template under suitable buffer and temperature conditions, and DNA polymerase adds a nucleoside triphosphate having a base complementary to the template DNA to the primer to link it. is synthesized A primer generally consists of a sequence of 15 to 30 bases, and the melting temperature (Tm) at which it binds to the template strand varies depending on the base composition and length. The sequence of the primer does not need to have a completely complementary sequence to a partial nucleotide sequence of the template, and it is sufficient if it hybridizes with the template and has sufficient complementarity within a range capable of performing an intrinsic function of the primer. Therefore, in the present invention, the primer set as the detection agent according to the present invention can be easily designed with reference to the nucleotide sequence of the cDNA or genomic DNA of the SNP site. A primer for detecting SNP does not need to have a sequence that is perfectly complementary to each gene sequence, and if it has a length and complementarity suitable for the purpose of measuring the amount of mRNA by amplifying a specific section of mRNA or cDNA through DNA synthesis Suffice. The primers for the amplification reaction are composed of a set (pair) that complementarily binds to the template (or sense) and the opposite side (antisense) of both ends of a specific section of the mRNA to be amplified.

As used herein, the term “probe” refers to RNA having a length of several to hundreds of base pairs that can specifically bind to mRNA, cDNA (complementary DNA), DNA, etc. of a specific gene. Alternatively, it refers to a polynucleotide fragment such as DNA, and is labeled so that the presence or absence, expression level, etc. of the target mRNA or cDNA to be bound to can be checked. Probe selection and hybridization conditions can be appropriately selected according to techniques known in the art. The probe may be used in a diagnostic method for detecting an allele (or allele, allele). The diagnostic methods include detection methods based on hybridization of nucleic acids, such as Southern blot, and may be provided in a form previously bound to a substrate of a DNA chip in a method using a DNA chip. In the present invention, the primer or probe may be chemically synthesized using a phosphoramidite solid support synthesis method or other well-known methods. In addition, the primer or probe can be variously modified according to methods known in the art within the range that does not interfere with hybridization with the polynucleotide to be detected. Examples of such modifications include methylation, encapsulation, substitution of one or more homologues of natural nucleotides, and modifications between nucleotides, such as uncharged linkages such as methyl phosphonates, phosphoesters, phosphoroamidates, carbamates, etc. ) or charged linkages (eg, phosphorothioate, phosphorodithioate, etc.), and binding of a labeling material using fluorescence or enzymes.

The probe may further have a reporter conjugated to its 5' end. The reporter is FAM (6-carboxyfluorescein), Texas red (texas red), fluorescein (fluorescein), fluorescein chlorotriazinyl (fluorescein chlorotriazinyl), HEX (2',4',5',7'-tetrachloro -6-carboxy-4,7-dichlorofluorescein), rhodamine green, rhodamine red, tetramethylrhodamine, fluorescein isothiocyanate (FITC), oregon green, Alexa alexa fluor, JOE (6-Carboxy-4',5'-Dichloro-2',7'-Dimethoxyfluorescein), ROX (6-Carboxyl-X-Rhodamine), TET (Tetrachloro-Fluorescein), TRITC ( It may be any one or more selected from the group consisting of tertramethylrodamine isothiocyanate), TAMRA (6-carboxytetramethyl-rhodamine), NED (N-(1-Naphthyl)ethylenediamine), cyanine-based dyes, and thiadicarbocyanine. However, any material known in the art that can be used as a reporter may be used.

The probe may further have a quencher conjugated to its 3' end. The quencher is TAMRA, BHQ (black hole quencher) 1, BHQ2, BHQ3, NFQ (nonfluorescent quencher), dabcyl, Eclipse, DDQ (deep dark quencher), Blackberry Quencher (Blackberry Quencher), Iowa black (Iowa black) ) may be any one or more selected from the group consisting of, but any known material that can be used as a quencher in the art may be used.

As another aspect of the present invention, the present invention may provide a kit for diagnosing or predicting elasticity or tensile strength of human hair comprising the composition according to the present invention.

The kit confirms the SNP marker through amplification or by confirming the presence of a specific allele, for example, a minor allele in the SNP marker, to diagnose low elasticity, low tensile strength hair or predict the risk of occurrence.

In the present invention, the kit may be an RT-PCR kit or a microarray chip kit, but is not limited thereto.

The RT-PCR kit may include each primer set capable of amplifying a nucleic acid comprising the SNP site, in addition to a test tube or other suitable container, reaction buffer, deoxynucleotides (dNTPs), Taq-polymerization enzymes and enzymes such as reverse transcriptase, DNase, RNAse inhibitors, DEPC-water, sterile water, and the like. In addition, a primer set specific for a gene used as a quantitative control may be included together.

The microarray chip kit may include a microarray having a substrate on which a nucleic acid including the SNP site is immobilized. The microarray may be composed of a conventional microarray except that the polynucleotide, primer set, or probe of the present invention is included. Hybridization of nucleic acids on microarrays and detection of hybridization results are well known in the art. In the detection, for example, a nucleic acid sample is labeled with a fluorescent material, for example, a label capable of generating a detectable signal including a material such as Cy3 and Cy5, and then hybridized on a microarray and the labeling material A hybridization result can be detected by detecting a signal generated from

In addition, in the present invention, when one or more SNPs selected from the group consisting of the first SNPs to the 135th SNPs are identified from a nucleic acid sample isolated from an individual, the hair is diagnosed as having low elasticity and low tensile strength, or hair with low elasticity and low tensile strength. It is possible to provide an information providing method for diagnosing or predicting the elasticity or tensile strength of hair, including the step of predicting that hair will occur.

In the present invention, the prediction and diagnosis of the risk of low elasticity and low tensile strength hair of the SNP marker according to the present invention was determined by measuring the frequency of each marker. Such significance is characterized by having a p-value of less than 0.05, less than 0.01, less than 0.001, less than 0.0001, less than 0.00001, less than 0.000001, less than 0.0000001, or less than 0.00000001, but is not limited thereto.

In one embodiment, when the base of the SNP site according to the present invention is a minor allele by confirming the gene of the individual, the frequency of the normal control group and the test group having low elasticity and low tensile strength hair (case) Among the values, it is judged as the phenotype of the group with a high frequency value, and if the base of the SNP site is a major allele, the group with a low frequency value among the frequency values of the normal control group and the test group with low elasticity and low tensile strength hair It can be judged by the phenotype. For example, in Table 3 of Example 3 below, when the 23,486,441th base of chromosome 4 of the individual is G, the frequency value of the test group is higher, so the individual with the minor allele G is the test group, low elasticity It can be diagnosed as long-strength hair or predicted to have an increased risk of developing low-elasticity and low-tensile strength hair. As another example, when the 112,165,066th base of chromosome 12 of the individual is the majority allele C, the frequency value of the control group is lower, so it can be regarded as a normal control group.

As used herein, the term “subject” or “subject” refers to a subject for diagnosing or predicting hair elasticity or tensile strength.

As used herein, the term “sample” can be used without limitation as long as it is collected from an individual or subject to diagnose or predict the elasticity or tensile strength of hair, for example, cells or tissues obtained by biopsy, blood, whole blood, It may be serum, plasma, saliva, cerebrospinal fluid, various secretions, urine, feces, and the like. Preferably, it may be selected from the group consisting of blood, plasma, serum, saliva, nasal fluid, sputum, ascites, vaginal secretion and urine, and preferably blood, plasma or serum. The sample may be pretreated prior to use for detection or diagnosis. For example, it may include homogenization, filtration, distillation, extraction, concentration, inactivation of interfering components, addition of reagents, and the like.

In the present invention, the SNP is sequencing, exome sequencing, microarray hybridization, allele specific PCR, dynamic allele hybridization technique (dynamic allele-) specific hybridization), PCR extension analysis, and Taqman technique may be identified by one or more methods selected from the group consisting of, but not limited thereto.

On the other hand, in one embodiment of the present invention, 15 SNP markers among the above-mentioned 135 markers are reselected to give a risk score, and the genotype is detected for each individual, and according to the frequency of each SNP marker secured, low elasticity, low tensile strength The risk of hair was also calculated. Sensitivity and specificity were calculated according to the calculated risk reference value, and the high ROC and AUC values were obtained based on this. Using the data obtained as described above, the risk of low-elasticity, low-tensile strength hair was quantified to construct a model that could predict the risk of occurrence (see Example 4).

Accordingly, the present invention includes calculating the risk score of one or more SNPs selected from the group consisting of the following single nucleotide polymorphisms (SNPs) from a sample isolated from an individual,

Provides an information providing method for diagnosing or predicting low-elasticity and low-tensile-strength hair, characterized in that the higher the sum of the calculated risk scores is greater than 0, the higher the probability of low-elasticity-low-tensile-strength hair:

If the allele of the first SNP (dbSNP database rs74708245) is minor allele C, the risk score is +2.14;

If the allele of the second SNP (dbSNP database 6:147531955:CATT:C) is the minor allele C, the risk score is +2.06;

If the allele of the third SNP (dbSNP database rs12340660) is the minor allele A, the risk score is +1.23;

If the allele of the fourth SNP (dbSNP database rs147519695) is the minor allele G, the risk score is +1.49;

If the allele of the fifth SNP (dbSNP database rs144535396) is the minor allele G, the risk score is +2.08;

If the allele of the 6th SNP (dbSNP database rs2270006) is minor allele A, the risk score is +1.84;

If the allele of the 7th SNP (dbSNP database rs139382928) is the minor allele G, the risk score is +2.08;

If the allele of SNP 8 (dbSNP database rs2722860) is minor allele A, the risk score is +1.94;

If the allele of the ninth SNP (dbSNP database rs111440321) is the minor allele C, the risk score is +1.13;

If the allele of SNP 10 (dbSNP database rs77427186) is minor allele A, the risk score is +1.64;

If the allele of SNP 11 (dbSNP database rs57558501) is minor allele C, the risk score is +1.17;

If the allele of SNP 12 (dbSNP database rs150186951) is minor allele A, the risk score is +0.97;

If the allele of SNP 13 (dbSNP database rs73330846) is minor allele A, the risk score is +1.69;

If the allele of SNP 14 (dbSNP database rs73206163) is minor allele C, the risk score is +0.91; and

If the allele of SNP 15 (dbSNP database rs12959070) is minor allele A, the risk score is +1.02.

In addition, the present invention includes the step of deriving the risk of low-elasticity and low-tensile-strength hair from the sample isolated from the subject by Equation 1 below, and the greater the derived risk is greater than 0, the higher the probability of occurrence of low-elasticity and low-tensile strength hair It provides an information providing method for diagnosing or predicting low elasticity and low tensile strength hair, characterized in that it is predicted to be high:

[Formula 1]

Wherein R _n is a risk score corresponding to the minor allele of the nth SNP is the minor allele of Table A below,

Wherein F _n is the frequency value of the minor allele of the nth SNP,

wherein n is one or more integers selected from the group consisting of 1 to 15 integers;

[Table A]

In the present invention, the risk is derived by identifying one or a combination of two or more of the 15 selected SNP markers of the present invention. According to the frequency of a minor allele in each SNP site of an individual, the risk can be calculated by summing all the risk scores of the corresponding SNP markers shown in Table 2 above. For example, in Equation 1, when n is 1 and the frequency value is 2, that is, when the frequency of the base C at the SNP position corresponding to the 101st base in the nucleotide sequence of SEQ ID NO: 1 in the subject is 2, again In other words, when the frequency of the 2329141th base (rs11831183) of chromosome 12 of an individual is 2, the risk increases by 2.14 × 2, and when the frequency of the base T of the marker is 1, the risk increases by 2.14 × 1 do. On the other hand, if the 112, 225, 799 bases of chromosome 12 are all C, the risk does not increase. The risk is determined by checking the base and frequency value of the SNP position corresponding to the 101st base within any one or more of the base sequences of SEQ ID NO: 1 to SEQ ID NO: 15, and summing all the values multiplied by the assigned risk score. is derived As such, the summation of risk scores derived from one or more SNPs is expressed as sigma (Σ) in Equation 1 above.

In the present invention, the risk may be to determine the predicted sensitivity and specificity according to Table B below according to the risk (LELTR) derived by Equation 1:

[Table B]

In the present invention, low elasticity and low tensile strength hair can be predicted with a sensitivity of 91.53% and a specificity of 74.85% at the risk standard of 3.21.

As used herein, the term “sensitivity” refers to a sample or patient whose final clinical pathological diagnosis is low-elasticity and low-tensile-strength hair. percentage predicted to be

As used herein, the term “specificity” means that there is no risk of low elasticity and low tensile strength hair through the information providing method or method according to the present invention for a sample or patient whose final clinical pathological diagnosis is normal, that is, normal is the predicted proportion.

In the present invention, the SNP is sequencing, exome sequencing, microarray hybridization, allele specific PCR, dynamic allele hybridization technique (dynamic allele-) specific hybridization), PCR extension analysis, and Taqman technique may be identified by one or more methods selected from the group consisting of, but not limited to.

In the present invention, the low elasticity and low tensile strength hair may be for Koreans, but is not limited thereto.

In addition, the present invention provides a kit for diagnosing or predicting low elastic and low tensile strength hair comprising an agent for detecting or amplifying one or more SNPs selected from the group consisting of the following single nucleotide polymorphisms (SNPs) as an active ingredient,

The kit quantifies the risk of low-elasticity, low-tensile strength hair according to Equation 1, and the higher the value is greater than 0, the higher the probability of occurrence of low-elasticity low-tensile strength hair. Kits for diagnosis or prediction are provided:

first SNP (dbSNP database rs74708245);

second SNP (dbSNP database 6:147531955:CATT:C);

third SNP (dbSNP database rs12340660);

fourth SNP (dbSNP database rs147519695);

5th SNP (dbSNP database rs144535396);

6th SNP (dbSNP database rs2270006);

7th SNP (dbSNP database rs139382928);

8th SNP (dbSNP database rs2722860);

9th SNP (dbSNP database rs111440321);

10th SNP (dbSNP database rs77427186);

11th SNP (dbSNP database rs57558501);

12th SNP (dbSNP database rs150186951);

13th SNP (dbSNP database rs73330846);

14th SNP (dbSNP database rs73206163); and

15th SNP (dbSNP database rs12959070).

Descriptions of the SEQ ID NOs, kits and SNPs are the same as described above.

The “agent” according to the present invention is an agent capable of specifically binding to and recognizing a region containing a SNP according to the present invention or amplifying a region containing the SNP, specifically, specific to the region containing the SNP. It may be a set of primers capable of specifically amplifying a probe capable of binding positively, a polynucleotide including a region including the SNP, or a polynucleotide complementary thereto, and the detailed description is described above. As it is the same as bar, it is omitted.

In the present invention, the kit may be an RT-PCR kit or a microarray chip kit, but is not limited thereto.

In addition, the present invention predicts that the higher the risk (LELTR) of low-elasticity and low-tensile-strength hair calculated by Equation 1, the higher the probability of occurrence of low-elasticity and low tensile strength hair, and the risk derived by Equation 1 (LELTR) ) according to Table 3 above, it provides a low-elasticity, low-tensile-strength hair risk diagnosis or prediction model, characterized in that it has a predictive sensitivity and specificity.

As used herein, the term “predictive model” refers to a specific mathematical model obtained by applying a prediction method to collected data. In the examples described herein, such data is based on whether the base of the SNP position according to the present invention from a sample of an individual, more specifically a nucleic acid sample, is a minor allele or a majority allele, and the risk score and frequency assigned to the minor allele. It consists of the sum of the products of values.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

Hereinafter, preferred examples are presented to help the understanding of the present invention. However, the following examples are only provided for easier understanding of the present invention, and the contents of the present invention are not limited by the following examples.

[Example]

Example 1. Classification of individuals and gene collection

The present inventors collected blood to secure genes from 401 women who visited the Department of Dermatology, Seoul National University Hospital.

Among the above study subjects, ① had a history of scalp damage, ② had severe acute kidney or heart disease or other chronic disease (high blood pressure, diabetes, etc.), or had an acute disease, ③ hemorrhagic If you are suffering from a disease of tendency, ④ If you are pregnant, ⑤ If there is a reason that makes it difficult to draw blood, ⑥ If you have permed or dyed your hair in the last 3 months, ⑦ Difficulty testing due to the judgment of the main investigator Cases judged to be so were excluded. The tensile strength of hair obtained from the parietal region of the volunteer's scalp was measured with a machine (MTT-175), and individuals whose tensile strength was in the lower 15% were classified as a test group, and those that did not were classified as a control group.

It was defined as hair showing a value below the cut-off point that could distinguish the lower 15% (59 persons) of the measured values from hair obtained from 401 study subjects. The cut value suggested in the present invention was 0.0285 (gmf/sq micron).

Example 2. Genotyping

Only gDNA whose OD260/280 value of 1.7 or higher, concentration of 10 ng/μl or higher, and intact gDNA band confirmed on 1X TAE (Tris-acetate-EDTA) 1% agarose gel by extracting gDNA from the blood of the study subject is used for subsequent analysis. was used. For genotyping, geno-typing was performed on gDNA samples isolated from the blood of study subjects using the Affymetrix Axiom KORV1.1 chip (Ref 550769). The analysis was performed through the processes of gDNA amplification, DNA fragmentation, quality control, hybridization, staining, and scanning. For the image of the chip, a scanned image was obtained using the GeneTitan MC (Affymetrix) system and the Gene Chip Command Console Software (AGCC), and a .cel file was obtained based on this. For the obtained .cel file, data quality control and genotype call were performed using the genotyping console 4 program. Through this, genotypes for 827,783 SNPs were obtained. At this time, in addition to the single nucleotide polymorphism (SNP) present in the chip used, additional SNPs were obtained through the imputation method (NARD + 1KGp3 reference by Eagle v2.4.1 phasing, InfoScore > 0.9 filtering). In order to minimize the error of the obtained genotyping analysis, quality control (QC) for SNPs was performed as follows:

① QC1: genotype less than 0.05 elimination, Hardy-Weinberg equilibrium less than 0.000001 elimination;

② QC2: Remove less than 1% MAF;

③ Finally, 4,930,354 single nucleotide polymorphisms (SNPs) were used for genotyping of the study subjects.

Example 3. Investigation and screening of single nucleotide polymorphisms related to low elastic and low tensile strength hair

In order to detect the genotype associated with low elastic and low tensile strength, association analysis using SNP markers of the test group/control group was performed. To perform association analysis, a chi-squared test was performed using the PLINK whole genome data analysis program, and the significance level was confirmed through the p-value. Among the markers, SNPs with a p-value of 0.01 or less related to low-elasticity and low-tensile-strength hair, that is, a statistically significant number of SNPs observed in patients with low-elasticity and low-tensile-strength hair compared to the normal control group, were selected. For each of the selected markers, information such as a chromosome position, a nucleotide sequence, a frequency, a significance level, etc. is shown in Table 1 below. In Table 1 below, “rs_id” refers to rs-ID, a unique marker assigned to a single nucleotide polymorphism (SNP) registered with the National Center for Biotechnology Information (NCBI) that accumulates genetic information of living organisms.

SNP observed statistically significantly in the low elasticity, low tensile strength hair test group and the normal control group

Chr_#	rs_id	location		minority allele	Frequency in normal controls	Frequency in subjects with low elastic low tensile strength hair	multiple alleles
5	rs74708245	2329141		C	0.01316	0.1017	T
5	rs143163621	2322008		T	0.01608	0.1017	C
6	6:147531955:CATT:C	147531955		C	0.0117	0.08475	CATT
9	rs12340660	80163814		A	0.07602	0.2203	G
5	rs147519695	118742227		G	0.03655	0.1441	T
9	rs11145471	80153854		T	0.07749	0.2203	C
9	rs112374661	80153352		G	0.0731	0.2119	A
2	rs144535396	116250506		G	0.01023	0.07627	A
7	rs2270006	30699747		A	0.01608	0.09322	G
7	rs139382928	121538623		G	0.01023	0.07627	A
9	rs2806099	120792082		A	0.01608	0.09322	T
9	rs2722866	120839644		C	0.01608	0.09322	T
9	rs2722860	120850053		A	0.01316	0.08475	C
17	rs111440321	77991441		C	0.09503	0.2458	T
17	rs59719579	77991524		T	0.09503	0.2458	C
17	rs72848435	77991533		T	0.09503	0.2458	C
17	rs72848437	77991738		T	0.09503	0.2458	A
17	rs72848438	77991750		T	0.09503	0.2458	C
17	rs113510869	77992119		C	0.09503	0.2458	A
17	rs183995993	77992120		A	0.09503	0.2458	G
10	rs73322628	52786034		C	0.02339	0.1102	G
10	rs73322629	52786382		A	0.02339	0.1102	G
10	rs12571742	52789893		A	0.02339	0.1102	T
10	10:52789962:G:GT	52789962		GT	0.02339	0.1102	G
10	rs73322636	52791157		A	0.02339	0.1102	G
12	rs77427186	27252897		A	0.02339	0.1102	C
12	rs4964041	27265017		C	0.02339	0.1102	T
5	rs57558501	18013468		C	0.08041	0.2203	T
22	rs150186951	20715508		A	0.1725	0.3559	G
10	rs73330846	52727989		A	0.02047	0.1017	T
22	rs2330333	23352933		T	0.02047	0.1017	C
22	rs5996446	23356738		C	0.02047	0.1017	T
22	rs9612207	23358608		C	0.02047	0.1017	T
22	rs4300938	23364587		A	0.02047	0.1017	C
22	rs5996451	23367169		T	0.02047	0.1017	A
22	rs6003470	23367416		C	0.02047	0.1017	A
22	rs6003471	23368033		G	0.02047	0.1017	A
8	rs73206163	18212890		C	0.2865	0.5	T
18	rs12959070	55812970		A	0.1316	0.2966	T
18	rs7227001	55813125		A	0.1316	0.2966	G
18	18:55813129:A:AT	55813129		AT	0.1316	0.2966	A
18	rs77060043	55813137		T	0.1316	0.2966	A
10	rs12762812	81021301		A	0.1155	0.2712	G
10	rs150022658	34534631		A	0.01462	0.08475	G
10	rs146884634	34554951		C	0.01462	0.08475	T
18	rs12455559	55818160		A	0.1272	0.2881	G
10	rs114234235	52750995		A	0.02485	0.1102	C
10	rs12569866	52753173		A	0.02485	0.1102	C
10	rs139339170	52758228		T	0.02485	0.1102	C
10	10:52758361:A:AG	52758361		AG	0.02485	0.1102	A
10	rs188128023	52758365		G	0.02485	0.1102	A
10	rs191727181	52758370		C	0.02485	0.1102	T
10	rs73332872	52761779		A	0.02485	0.1102	G
10	rs56866455	52763588		T	0.02485	0.1102	C
10	rs73334845	52768180		A	0.02485	0.1102	G
10	rs73334849	52770727		T	0.02485	0.1102	C
10	10:52774096:AGG:A	52774096		A	0.02485	0.1102	AGG
10	rs12573170	52774332		T	0.02485	0.1102	C
10	rs12569858	52774408		G	0.02485	0.1102	A
10	rs79991453	52776273		T	0.02485	0.1102	G
11	rs78572085	7063982		A	0.02485	0.1102	G
22	rs373236512	20715737		A	0.1754	0.3559	T
3	rs237898	8808495		T	0.09942	0.2458	A
3	rs237899	8808515		A	0.09942	0.2458	G
3	rs237900	8808696		A	0.09942	0.2458	G
One	rs147722243	106603967		A	0.0117	0.07627	T
4	4:149825034:TG:T	149825034		T	0.0117	0.07627	TG
6	6:97254598:GA:G	97254598		G	0.0117	0.07627	GA
22	22:23308817:TA:T	23308817		T	0.0117	0.07627	TA
22	rs57782156	23311620		T	0.0117	0.07627	G
22	22:23317796:C:CA	23317796		CA	0.0117	0.07627	C
22	rs9623986	23319251		A	0.0117	0.07627	G
22	rs73166850	23319658		C	0.0117	0.07627	T
22	rs12166564	23320958		T	0.0117	0.07627	G
22	22:23321349:ATGTGT:A	23321349		A	0.0117	0.07627	ATGTGT
22	rs9623992	23325722		C	0.0117	0.07627	T
22	rs60784318	23327830		A	0.0117	0.07627	G
22	rs73166858	23329784		A	0.0117	0.07627	G
22	rs190406530	23334447		T	0.0117	0.07627	C
22	rs6003446	2333803		A	0.0117	0.07627	G
22	rs6003447	23339200		T	0.0117	0.07627	C
22	rs9620205	23343565		C	0.0117	0.07627	T
22	rs11090213	23348003		A	0.0117	0.07627	G
22	rs9624001	23348086		C	0.0117	0.07627	T
22	rs10048891	23348960		T	0.0117	0.07627	C
22	rs9306382	23350873		A	0.0117	0.07627	G
22	rs6003454	23351073		A	0.0117	0.07627	G
22	rs4589858	23351490		T	0.0117	0.07627	C
22	rs73166868	23353592		A	0.0117	0.07627	G
22	rs16996154	23353620		G	0.0117	0.07627	C
22	rs73166870	23355251		A	0.0117	0.07627	T
22	rs58946746	23357074		G	0.0117	0.07627	A
22	rs57909579	23357300		G	0.0117	0.07627	T
22	rs113801050	23359285		A	0.0117	0.07627	G
22	rs112686603	23361377		A	0.0117	0.07627	G
22	rs13053474	23361432		A	0.0117	0.07627	G
22	rs59113645	23361702		T	0.0117	0.07627	C
22	rs7290417	23362423		A	0.0117	0.07627	G
22	rs882511	23363352		G	0.0117	0.07627	A
22	rs882512	23363429		A	0.0117	0.07627	G
22	22:23364105:C:CT	23364105		CT	0.0117	0.07627	C
22	22:23364106:A:ACCTACCACAAT	23364106		ACCTACCACAAT	0.0117	0.07627	A
22	22:23364224:TA:T	23364224		T	0.0117	0.07627	TA
22	rs9620208	23364772		A	0.0117	0.07627	G
22	22:23365737:AGG:A	23365737		A	0.0117	0.07627	AGG
22	22:23365741:GGGAC:G	23365741		G	0.0117	0.07627	GGGAC
22	22:23367721:TTA:T	23367721		T	0.0117	0.07627	TTA
22	rs12170311	23368504		G	0.0117	0.07627	A
22	rs9624006	23370625		T	0.0117	0.07627	G
22	rs12160416	23376431		G	0.0117	0.07627	T
22	rs73166891	23377494		G	0.0117	0.07627	A
22	rs149201608	23406099		A	0.0117	0.07627	G
8	rs7812408	18200916		T	0.2705	0.4746	C
22	rs371049047	20715206		A	0.1769	0.3559	G
18	rs7240603	55818124		C	0.1287	0.2881	T
One	rs7543257	67603399		C	0.3757	0.5932	T
10	rs73330862	52737606		G	0.02193	0.1017	A
10	rs12573726	52740918		T	0.02193	0.1017	C
10	rs2816827	52743594		G	0.02193	0.1017	A
10	rs73332813	52747982		G	0.02193	0.1017	A
22	rs9608057	23306813		T	0.02193	0.1017	C
22	rs882097	23316616		G	0.02193	0.1017	A
22	rs2096534	23324143		T	0.02193	0.1017	C
22	rs8137339	23331216		G	0.02193	0.1017	A
22	rs6003462	23363837		C	0.02193	0.1017	T
22	rs5996452	23367330		G	0.02193	0.1017	A
22	rs2877121	23371504		G	0.02193	0.1017	C
22	rs6003474	23372071		T	0.02193	0.1017	C
22	rs6003475	23372142		G	0.02193	0.1017	A
22	rs2877122	23372414		T	0.02193	0.1017	C
22	rs4050472	23372938		C	0.02193	0.1017	T
22	rs9612216	23373312		C	0.02193	0.1017	T
22	rs6003477	23373627		C	0.02193	0.1017	T
22	rs6003478	23374143		T	0.02193	0.1017	G
22	rs5996453	23374206		A	0.02193	0.1017	G

Genetic polymorphic marker used for predictive model of low elasticity and low tensile strength human hair

Chr_#	rs_id	position	Minor_Allele	Major_Allele	risk score
5	rs74708245	2,329,141	C	T	2.14
6	6:147531955:CATT:C	147,531,955	C	CATT	2.06
9	rs12340660	80,163,814	A	G	1.23
5	rs147519695	118,742,227	G	T	1.49
2	rs144535396	116,250,506	G	A	2.08
7	rs2270006	30,699,747	A	G	1.84
7	rs139382928	121,538,623	G	A	2.08
9	rs2722860	120,850,053	A	C	1.94
17	rs111440321	77,991,441	C	T	1.13
12	rs77427186	27,252,897	A	C	1.64
5	rs57558501	180,134,568	C	T	1.17
22	rs150186951	20,715,508	A	G	0.97
10	rs73330846	52,727,989	A	T	1.69
8	rs73206163	18,212,890	C	T	0.91
18	rs12959070	55,812,970	A	T	1.02

Sensitivity and specificity according to risk of low elasticity and low tensile strength hair prediction model based on genetic polymorphic markers

risk threshold	responsiveness(%)	Specificity (%)
0	100.00%	0.00%
0.91	100.00%	12.57%
0.97	100.00%	21.93%
1.02	98.31%	27.19%
1.13	98.31%	29.53%
1.17	98.31%	31.58%
1.23	98.31%	33.33%
1.49	98.31%	35.67%
1.64	98.31%	36.55%
1.82	98.31%	37.13%
1.84	98.31%	38.01%
1.88	98.31%	38.30%
1.93	98.31%	40.94%
1.94	98.31%	44.44%
1.99	98.31%	45.32%
2.04	98.31%	46.49%
2.06	98.31%	48.54%
2.08	98.31%	48.83%
2.1	98.31%	50.29%
2.14	98.31%	52.05%
2.14	98.31%	53.22%
2.15	98.31%	54.39%
2.19	98.31%	54.68%
2.2	98.31%	55.56%
2.25	96.61%	55.85%
2.3	94.92%	56.14%
2.34	94.92%	57.02%
2.4	94.92%	57.31%
2.46	94.92%	58.77%
2.55	94.92%	59.06%
2.6	94.92%	60.53%
2.66	94.92%	60.82%
2.75	94.92%	61.11%
2.79	94.92%	61.40%
2.81	94.92%	61.99%
2.82	94.92%	62.57%
2.84	94.92%	62.87%
2.85	94.92%	63.74%
2.9	94.92%	65.20%
2.95	94.92%	66.37%
2.96	94.92%	67.25%
2.97	94.92%	67.84%
2.99	94.92%	68.13%
3.01	93.22%	69.01%
3.05	93.22%	69.59%
3.05	93.22%	71.05%
3.06	93.22%	71.35%
3.07	93.22%	72.22%
3.08	93.22%	72.51%
3.11	91.53%	72.81%
3.12	91.53%	73.68%
3.16	91.53%	74.27%
3.17	91.53%	74.56%
3.21	91.53%	74.85%
3.27	89.83%	74.85%
3.31	89.83%	76.32%
3.33	89.83%	76.61%
3.37	89.83%	76.90%
3.38	89.83%	77.49%
3.42	88.14%	77.49%
3.43	86.44%	77.49%
3.48	86.44%	77.78%
3.51	86.44%	78.07%
3.53	86.44%	78.36%
3.57	86.44%	78.95%
3.63	86.44%	79.82%
3.68	86.44%	80.41%
3.73	86.44%	80.99%
3.76	86.44%	81.29%
3.78	86.44%	81.58%
3.81	86.44%	81.87%
3.88	86.44%	82.75%
3.89	86.44%	83.04%
3.92	86.44%	83.33%
3.94	86.44%	83.92%
3.96	86.44%	84.21%
3.97	86.44%	84.80%
4.01	84.75%	84.80%
4.02	84.75%	85.09%
4.03	83.05%	85.38%
4.07	83.05%	85.67%
4.09	81.36%	85.67%
4.12	81.36%	85.96%
4.13	81.36%	86.55%
4.14	81.36%	87.13%
4.18	81.36%	87.43%
4.19	81.36%	87.72%
4.22	81.36%	88.01%
4.22	81.36%	88.60%
4.24	81.36%	88.89%
4.28	81.36%	89.47%
4.3	81.36%	90.06%
4.34	81.36%	90.35%
4.39	81.36%	90.64%
4.39	81.36%	90.94%
4.4	81.36%	91.23%
4.41	81.36%	91.52%
4.48	81.36%	91.81%
4.51	79.66%	91.81%
4.54	79.66%	92.11%
4.65	79.66%	92.69%
4.67	79.66%	92.98%
4.68	79.66%	93.27%
4.7	77.97%	93.57%
4.76	77.97%	93.86%
4.95	77.97%	94.15%
4.98	76.27%	94.15%
5.09	72.88%	94.15%
5.11	72.88%	94.44%
5.14	71.19%	94.74%
5.25	71.19%	95.03%
5.26	71.19%	95.32%
5.27	71.19%	95.61%
5.3	69.49%	95.61%
5.31	69.49%	95.91%
5.43	67.80%	95.91%
5.44	67.80%	96.20%
5.48	66.10%	96.20%
5.62	66.10%	96.49%
5.63	66.10%	96.78%
5.66	64.41%	96.78%
5.7	62.71%	96.78%
5.7	62.71%	97.08%
5.71	62.71%	97.37%
5.81	62.71%	97.66%
5.84	62.71%	97.95%
5.91	61.02%	97.95%
5.97	59.32%	97.95%
6.07	59.32%	98.25%
6.24	59.32%	98.54%
6.38	57.63%	98.54%
6.43	55.93%	98.54%
6.44	54.24%	98.54%
6.46	52.54%	98.54%
6.52	50.85%	98.83%
6.58	49.15%	98.83%
6.64	49.15%	99.12%
6.67	47.46%	99.12%
6.73	47.46%	99.42%
6.78	47.46%	99.71%
6.96	44.07%	99.71%
7	42.37%	99.71%
7.31	42.37%	100.00%
7.39	40.68%	100.00%
7.45	38.98%	100.00%
7.47	37.29%	100.00%
7.55	35.59%	100.00%
7.58	33.90%	100.00%
7.79	32.20%	100.00%
7.91	30.51%	100.00%
7.91	28.81%	100.00%
8.63	27.12%	100.00%
9.05	25.42%	100.00%
9.1	23.73%	100.00%
9.11	22.03%	100.00%
9.18	20.34%	100.00%
9.41	18.64%	100.00%
9.5	16.95%	100.00%
9.74	15.25%	100.00%
11.67	13.56%	100.00%
12.08	11.86%	100.00%
12.31	10.17%	100.00%
12.32	8.47%	100.00%
12.36	6.78%	100.00%
12.54	5.08%	100.00%
15.78	3.39%	100.00%
17.02	1.69%	100.00%

The results disclosed in the above examples show that using the 15 SNP gene markers according to the present invention, predicting and diagnosing hair elasticity or tensile strength, or predicting that there is a risk of low elasticity and low tensile strength hair. . Through this series of discoveries, it is expected to develop personalized medical devices, pharmaceuticals, cosmetics, and active ingredients that can improve or maintain the elasticity or tensile strength of hair.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

The prediction method, prediction kit and prediction model of low-elasticity and low-tensile strength hair using the single nucleotide polymorphism marker of the present invention can predict individuals with low-elasticity and low tensile strength hair with high accuracy in advance for each individual. It works. Furthermore, based on the information obtained through the prediction method, prediction kit, and prediction model of the present invention, personalized medical devices, medicines and cosmetics, active ingredients, etc. that can improve or maintain the strength and elasticity of low-elasticity and low-tensile strength hair It is expected that it can be applied to the development of

Claims (9)

1. A SNP marker composition for diagnosis or prediction of elasticity or tensile strength of human hair, comprising at least one SNP selected from the group consisting of the following first SNPs to 135th SNPs:

   

   

   

   

   

   

   

   

   

   

   

   

   

   
2. A composition for diagnosing or predicting elasticity or tensile strength of human hair, comprising as an active ingredient an agent for detecting or amplifying one or more SNPs selected from the group consisting of the following first SNPs to 135th SNPs:

   

   

   

   

   

   

   

   

   

   

   

   

   

   
3. 3. The method of claim 2,

   The agent for detecting the SNP is a probe (probe) capable of detecting one or more SNPs selected from the group consisting of the first SNP to the 135th SNP, the composition.
4. 3. The method of claim 2,

   The agent for amplifying the SNP is a primer set capable of detecting one or more SNPs selected from the group consisting of the first SNP to the 135th SNP, the composition comprising.
5. A kit for diagnosis or prediction of elasticity or tensile strength of human hair, comprising the composition of claim 2 .
6. 6. The method of claim 5,

   The kit is an RT-PCR kit or a microarray chip kit, characterized in that the kit.
7. When one or more SNPs selected from the group consisting of the following first SNPs to 135th SNPs are identified from a nucleic acid sample isolated from an individual, it is diagnosed as hair with low elasticity and low tensile strength, or hair with low elasticity and low tensile strength is predicted to occur An information providing method for diagnosing or predicting hair elasticity or tensile strength, comprising the step of:

   

   

   

   

   

   

   

   

   

   

   

   

   

   
8. 8. The method of claim 7,

   The SNP is sequencing, exome sequencing, microarray hybridization, allele specific PCR, dynamic allele-specific hybridization, PCR A method for providing information, characterized in that it is identified by at least one method selected from the group consisting of extension analysis and Taqman technique.
9. When one or more SNPs selected from the group consisting of the first SNP to 135 SNP of claim 7 are identified from a nucleic acid sample isolated from an individual, it is possible to diagnose low elasticity and low tensile strength hair or to develop low elasticity and low tensile strength hair. A method of diagnosing or predicting hair elasticity or tensile strength, comprising the step of predicting it.

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