252 results about "Genetic marker" patented technology

The invention belongs to the field of SNP (Single Nucleotide Polymorphism) detection, and particularly provides an SNP molecular marker related to a sheep body length character, application of the SNP molecular marker and a kit for detecting the SNP molecular marker. The kit provided by the invention is used for performing polymorphism detection on the SNP molecular genetic marker, namely the 92690768th site of the No.4 chromosome, screening and determining the sheep body length character, and selecting the body length character to breed or assist to breed a long sheep individual with the body length character, so that a Tibetan sheep variety germplasm resource with high-quality body length character can be collected, and the kit has a very good application prospect.

The invention discloses a primer composition and application of the primer composition in detection of animal bifidobacterium subsp. Lactis HN019. According to the present invention, bifidobacterium animalis subsp. Lactis HN019 is adopted as an object, bacterial strain specific genetic markers are screened through whole genome sequencing and single nucleotide polymorphism analysis, and a fluorescent quantitative PCR technology is combined so as to obtain the efficient, specific and stable HN019 quantitative detection primer composition and the method thereof; through system verification, the method is suitable for an HN019 strain level detection technical framework in scientific research and industrial application scenes, and also provides key technical support for market supervision and industrial healthy development of probiotic foods.

System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same certain genetic markers as the patient. An alert indicating such information is displayed at a healthcare provider system.

The invention relates to a primer of an RBP4 gene molecular marker related to pig weak litter number character and application of the primer, and belongs to the technical field of biology. The RBP4 gene molecular marker is located at the 105043789th base of chromosome 14 of a pig reference genome Sscrofa11.1 version, the base is mutated into A or G, and the genotypes are A / A, A / G and G / G. The number of weak piglets of the G / G genotype pigs is lower than that of the A / G and A / A genotype individuals, and the number of weak piglets of the A / G genotype pigs is lower than that of the A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker is used as a genetic marker for pig breeding to breed pigs with less weak piglets; the method can efficiently and accurately detect the weak piglet number character, improves the survival rate of healthy piglets of a pig herd, and has an important value for breeding and production of pigs.

The invention discloses a 26 Multi-InDel genetic marker system for highly degraded sample typing, a detection primer and application of the 26 Multi-InDel genetic marker system, and belongs to the technical field of forensic medicine identification. According to the invention, through bioinformatics screening and experimental verification, a multi-InDel genetic marker system of which the lengths of 26 amplicons do not exceed 125 bp is constructed. The problem that degradation detection material detection and high system efficiency are difficult to consider at the same time is solved. The random matching probability of the system in Han population in Hunan reaches 2.25 * 10 <-17 >, the cumulative paternity exclusion rate is 0.999925, complete typing of highly degraded DNA can be achieved, triad paternity test can be completed, and a new technical scheme which is efficient and compatible with a capillary electrophoresis platform is provided for forensic practice.

The invention relates to a primer of a GAREM1 gene molecular marker related to the average daily gain character of pigs and application of the primer, and belongs to the technical field of biology. The GAREM1 gene molecular marker is located at the 116131455th basic group of chromosome 6 of a pig reference genome Sscrofa11.1 version, the basic group is mutated into A, and the genotypes are A / A and A / T. The average daily gain of A / T genotype pigs is higher than that of A / A genotype individuals. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker can be used as a genetic marker for pig breeding to breed pigs with proper weight; the method can be used for efficiently and accurately detecting the average daily gain character of the pigs, and has an important value for breeding and production of the pigs.

The invention provides a DGAT1 gene SNPs marker for detecting sheep milk production traits and application thereof.Nucleotide sequence variation sites of the DGAT1 gene are detected with the first-filial generation of Dongfudrisheng sheep male * Hu sheep female as an object, a general linear mixing effect model is constructed, the correlation between nucleotide sequence variation and sheep milk production traits is researched, and the DGAT1 gene SNPs marker for detecting the sheep milk production traits is obtained. And digging a molecular genetic marker for regulating and controlling the lactation character of the sheep. Three SNPs (single nucleotide polymorphisms) sites are found in total; wherein two variation sites in the first intron are named as c.191 + 411 Cgt, and the second intron is named as c.191 + 411 Cgt; t (SNP1) and c.192-440 Cgt, and c. 292-440 Cgt; t (SNP2) and a variation site in the 17th exon are named as c.1461 Cgt; t (SNP3). For the SNP1 site, the average daily milk yield of the CT genotype ewe is increased by 8.2% and 17.04% compared with that of the CC genotype ewe and that of the TT genotype ewe respectively; for the SNP3 site, the milk fat percentage of the CC genotype ewe is improved by 0.314% compared with that of the CT genotype ewe. A new molecular marker can be provided for selection and improvement of lactation traits of the milk sheep, and the molecular marker has important application prospects in sheep screening or breeding.

The invention relates to the technical field of biology, and provides a genetic marker for children nephrotic syndrome genetic risk assessment. The invention relates to genetic detection and application of hormone sensitive nephrotic syndrome (pSSNS) of children. Nine risk sites, including new sites of 1q23.1, 1p36.13, 5p13.2, 10q21.3, 10q24.1 and the like, highly related to diseases are found by integrating whole genome association research (GWAS) data, combining Meta analysis and a conjugate false discovery rate (conjFDR) method and taking genetic information of IgA nephropathy as assistance. Research results show that genes near the loci have differential expression in pSSNS and IgAN patients, which prompts that the genes play an important role in the occurrence and development of diseases. The invention provides a molecular detection method based on the risk site, which can be used for risk assessment, auxiliary diagnosis and prognosis prediction of children's nephropathy. Meanwhile, the invention provides potential application values of the loci and related genes thereof in individualized medication and targeted therapy.

The invention relates to the technical field of preoperative risk prediction, in particular to a risk prediction method and system for an AI preoperative simulation operation. The method comprises the following steps: acquiring multi-modal medical data of a patient, and performing quantitative analysis to obtain structural characteristics of a pathological part of the patient, a genetic marker of the patient and phenotypic characteristics of the patient; carrying out multi-modal deep feature fusion based on the structural features of the pathological part of the patient, the genetic marker of the patient and the phenotypic features, and constructing a personalized patient digital model; a patient operation log is obtained, multi-stage operation step analysis and deep risk factor prediction are carried out, and patient personalized risk factors are generated; self-adaptive operation path planning and step-by-step sudden execution prediction are carried out based on patient operation logs, and risk prediction points of different operation paths are obtained. According to the invention, through efficient and accurate preoperative risk prediction, the safety of the operation is visually displayed.

The invention relates to a primer of a KLHL14 gene molecular marker related to pig weak litter number character and application of the primer, and belongs to the technical field of biology. The KLHL14 gene molecular marker is located at the 116519104 base of chromosome 6 of a pig reference genome Sscrofa11.1 version, the base is mutated into C or T, and the genotypes are C / C, C / T and T / T. According to the present invention, the forward and reverse primer pair is used to amplify the fragment containing the molecular marker site, and the amplification product is subjected to Sanger sequencing so as to rapidly and accurately identify the genotype of the individual; the molecular marker can be used as a genetic marker for pig breeding to breed pigs with less weak piglets; the method can efficiently and accurately detect the character of the number of the weak piglets of the pigs, improves the survival rate of healthy piglets of a swinery, and has an important value for breeding and production of the pigs.

The invention discloses an astragalus sinicus breeding genetic data mining system based on bioinformatics, and particularly relates to the technical field of data mining. The method comprises the following steps: acquiring and synchronizing original sequencing data of an astragalus sinicus host genome and a rhizobium symbiotic microorganism genome to generate a standardized genetic information data set; the method comprises the following steps: identifying sequence cross contamination sites between a host genome and a symbiotic microorganism genome, and eliminating genetic information interference of a microorganism source, so as to obtain purified host genome data without microorganism interference; analyzing the contribution degree of the microbial genome to the target character of the astragalus sinicus to obtain a microbial effect weight; integrating the purified host genome data and the microbial effect weight, constructing an astragalus sinicus character association analysis model, and positioning character association sites; and finally, screening candidate breeding markers based on character associated site information to obtain a precise breeding genetic marker set. According to the method, the accuracy and efficiency of milk vetch breeding are improved.

Provided in the present invention are the use of insertion / deletion polymorphism genetic markers in detecting the copy number of human chromosomal subtelomeric regions, a reagent panel for detecting the insertion / deletion polymorphisms genetic markers, and a method for detecting the copy number of human chromosomal subtelomeric regions.

The invention relates to the technical field of forensic genomics, in particular to a primer group and a kit for detecting genetic markers of 365 Y chromosomes and application of the primer group and the kit. According to the invention, an amplification primer group for specific 57 Y-STRs and 308 Y-SNPs of Chinese population is optimally designed, and a joint detection method with high sensitivity and high resolution is constructed. Y-STR haplotype analysis and Y-SNP haplogroup accurate typing can be synchronously realized, and the problems of high family checking false positive rate, insufficient geographic ancestor inference resolution and the like caused by single site type detection in the traditional technology are solved. The method is suitable for diversified biological samples such as blood, seminal stains and saliva, and provides a novel technical scheme of high-throughput, low-cost and multi-dimensional paternal genetic information analysis for forensic practice. Comprising construction of a Y-STR and Y-SNP composite amplification system based on next-generation sequencing and application of the Y-STR and Y-SNP composite amplification system in forensic medicine individual recognition, family investigation and biogeography ancestor inference.

The invention discloses a primer group, a kit and a detection method for simultaneously realizing species identification and individual identification, and belongs to the technical field of forensic identification. The invention discloses a primer group for simultaneously realizing species identification and individual identification. The primer group comprises a primer sequence for amplifying 11 animal characteristic sequences and a primer sequence for amplifying 30 individual genetic markers STR. The invention also discloses a kit comprising the primer group, and a detection method for species identification and individual recognition by adopting the primer group. The method is suitable for trace detection materials, and is high in detection speed, low in detection cost and high in accuracy.

Determining whether a particular sample is what it is labeled or sold as is an important concept, particularly to those who buy or sell food products. Particularly for end users, a fast, efficient, accurate way of determining whether a sample is being accurately marketed and sold is necessary. This invention allows a user to rapidly determine if a product is from a certain species or not, based on genetic markers for that product.

The invention discloses a gene marker for diagnosing latent tuberculosis infection and application of the gene marker, and belongs to the technical field of biological medicine. According to the present invention, the latent tuberculosis infection early diagnosis marker is screened based on the peripheral blood whole genome DNA methylation map, the new target is provided for the diagnosis of latent tuberculosis infection, the diagnosis efficiency of the marker is evaluated through pyrosequencing, the corresponding detection kit and the use method are developed, and the rapid and accurate diagnosis of latent tuberculosis infection is achieved.

The application provides application of a SNP genetic marker affecting chicken body weight at the onset of lay in genetic breeding of laying hens, and belongs to the field of animal genetic breeding and biotechnology.The SNP genetic marker affecting chicken body weight at the onset of lay comprises bw1egg_1 and / or bw1egg_2; the Ensembl number of the bw1egg_1 is rs318020581, corresponding to the 76311052th position of the positive strand of chromosome 4 in the chicken reference genome bGalGal1.mat.broiler.GRCg7b sequence published in NCBI, belonging to the 3rd intron of the gene C1QTNF7, and the base at the position is T or G; the Ensembl number of the bw1egg_2 is rs313708699, corresponding to the 74731889th position of the positive strand of chromosome 4 in the chicken reference genome bGalGal1.mat.broiler.GRCg7b sequence published in NCBI, belonging to the 8th intron of the gene SLIT2, and the base at the position is T or C.Both the bw1egg_1 and the bw1egg_2 are helpful to genetically improve the body weight at the onset of lay, and when applied to genetic breeding of chickens, are favorable to improving the body weight at the onset of lay of the laying hens and obtaining a laying hen breed with excellent performance in uniformity of the body weight at the onset of lay.

The invention discloses an SNP (Single Nucleotide Polymorphism) genetic marker associated with the number of live piglets born by sows and application thereof, and belongs to the technical field of pig genetic marker detection, the SNP genetic marker is located at a 213444403 bp nucleotide site of a first chromosome of a reference sequence of an international pig genome version 11.1, the basic group of the site is G or A, and the SNP genetic marker is located at the upstream 38945 bp position of a PTPRD gene. The invention also discloses an application of the SNP genetic marker in breeding of sows with high live piglet number. The SNP genetic marker can assist in increasing the number of live piglets born by the sow, provides a new marker resource for assisted selection of breeding sows, and can be used for genetic breeding of the breeding sows.

The application belongs to the technical field of biological information, and particularly relates to a method for locating ancestral haplotype genes for deep hybrid lines. In the application, the ancestral genotype of a sample to be analyzed is obtained, and then a genomic segment significantly associated with a phenotype is obtained. Then, whole genome analysis is performed. Compared with the prior art, the method for locating ancestral haplotype genes for deep hybrid lines can effectively reduce false positives, and can also be used for heterosis analysis, capture of dominant and epistatic effects between genetic markers and the like.

The present invention discloses SNP molecular markers associated with corn ear length under low-phosphorus conditions and their applications, and belongs to the field of molecular genetic marker technology. SNP molecular markers include SNP-209022198 and SNP-209022765 located on chromosome 5 of the corn Zm-B73-REFERENCE-NAM-5.0 reference genome. SNP-209022198 is located at 209022198bp on chromosome 5 of the corn genome, and the variation type is T / C; SNP-209022765 is located at 209022765bp on chromosome 5 of the corn genome, and the variation type is G / A. The SNP molecular markers significantly associated with corn ear length disclosed in the present invention can be used for molecular-assisted breeding of corn ear length traits under low-phosphorus conditions, and through molecular breeding improvement, the corn ear length trait can be screened out, and long-ear corn varieties can be cultivated, thereby increasing corn yield.

The present application belongs to the field of molecular biology technology and breeding of Muxuan black-bone chickens, and particularly relates to a PMEL17 gene for breast muscle blackness of Muxuan black-bone chickens and a genetic marker method thereof. The nucleotide sequence of the gene is shown as SEQ ID NO. 1. The marker method is to design a primer pair, take the genomic DNA of Muxuan black-bone chickens as a template, perform PCR amplification, obtain a sequence shown as SEQ ID NO. 4, identify whether the sequence has a mutation, and analyze the correlation between the mutation and the breast muscle blackness of Muxuan black-bone chickens. The screened gene is a gene related to the breast muscle blackness of Muxuan black-bone chickens, and further screening of a SNP related to the trait at a 553th site of the PMEL17 gene sequence can be used as a genetic marker for auxiliary selection of Muxuan black-bone chickens. Through the genetic marker, Muxuan black-bone chickens with more melanin deposition and darker color can be selected and bred, which has important significance and application value for the genetic breeding of Muxuan black-bone chickens.

The application discloses a genetic marker linked with a wheat kernel nickel ion accumulation QTL qNi.hnaas-6BS, adopts a Wheat Breeders 660K microarray chip to identify genotype data of a natural population, combines phenotype data of kernel nickel ion content of the wheat natural population, carries out whole genome association analysis (GWAS), identifies that a quantitative trait locus (QTL) qNi.hnaas-6BS for controlling wheat kernel nickel ion accumulation exists on a short arm of a 6B chromosome of the wheat, the QTL is closely linked with SNP6872, is located at the 125,482,475th nucleotide of the 6B chromosome, and the SNP6872 has C / T polymorphism. Haplotype analysis results on a population level show that when the nucleotide of the site is CC, the wheat kernel has lower nickel ion content, and is a favorable allelic genotype for limiting the accumulation of the wheat kernel nickel ion.

The present application belongs to the technical field of sample pollution evaluation, and discloses a sample cross-contamination evaluation method, device, equipment and medium, comprising: performing quality control on batch sequencing data, and performing mutation site detection and genetic marker typing according to a human reference genome sequence and a site interval file; according to the genetic marker typing result and the site interval file, the number of heterozygous genotype sites is counted and the sample heterozygosity is calculated, according to the sample heterozygosity and a preset threshold, the sample contamination state is determined; according to the copy number estimation of the sample, the allele frequency is diploid standardized correction; based on the allele frequency in the genetic marker typing result and the mutation site detection result, the cross-contamination relationship between each two samples is analyzed by using identification rules to determine the pollution source; the site for calculating the pollution proportion is selected, and the weighted average algorithm is used to calculate the pollution proportion. The sample pollution degree can be accurately estimated and the pollution source sample can be identified.

The application provides a genetic marker associated with chicken intestinal length in a KCNIP4 gene and an application thereof, and belongs to the fields of animal genetics and breeding and biotechnology.The genetic marker comprises IL_tag1 or IL_tag2; the Ensembl number of the IL_tag1 is rs316532738, corresponds to the sequence of a positive strand of a chromosome No.4 of a chicken reference genome bGalGal1.mat.broiler.GRCg7b published by NCBI, is located in the 1st intron of a gene KCNIP4, and the base at the position is T or C; the Ensembl number of the IL_tag2 is rs316953671.The genetic marker is helpful to genetically improve the intestinal length of a laying hen, is applied to the genetic breeding of a chicken, and is favorable to improving intestinal traits and obtaining a laying hen variety with better nutrient absorption.

This invention discloses the application of SNP molecular markers based on the STPG1 gene promoter in assessing bull semen quality. The SNP molecular markers include SNP2: g.-1220 T>C, where bulls with the CT genotype have significantly higher sperm motility and a significantly lower sperm abnormality rate than those with the CC genotype. In addition to SNP2, the invention also includes SNP1: g.-1234 G>A and SNP3: g.-1211 C>T. There are six haplotypes among SNPs 1-3. Compared to other haplotype combinations, bulls with H5H2 exhibit the highest sperm motility, while bulls with H3H2 exhibit the lowest sperm abnormality rate. These SNP molecular markers can serve as potential genetic markers for early identification of bull semen quality, which can not only improve breeding efficiency and reduce costs but also significantly enhance the overall reproductive performance of the herd.

This invention relates to the field of intelligent brain disease diagnosis technology, specifically providing an auxiliary diagnostic method and system based on multimodal decoupled dynamic graph learning. The method includes: acquiring and preprocessing multimodal data (such as neuroimaging, genetic markers, etc.) of the subject; extracting common pathological information and modality-specific features through a shared encoder and modality-specific encoders respectively, and optimizing the separation process using a decoupling loss function; furthermore, fusing all modality embeddings using a multi-head self-attention mechanism with a masked matrix to generate initial node representations, where the mask is used to suppress modality self-attention; subsequently, performing hierarchical dynamic graph convolution based on the node representations: in each layer, dynamically updating the graph adjacency matrix by combining the current node representation with the original features, and iteratively optimizing the node representations through message passing; finally, inputting the optimized representations into a classifier to obtain disease prediction results. This invention improves the automation performance and reliability of diagnosis.

The application relates to a primer of a MEP1B gene molecular marker related to a pig average daily weight gain trait and application thereof, and belongs to the technical field of biology. The MEP1B gene molecular marker of the application is located at the 116042900th base of chromosome No. 6 of a pig reference genome Sscrofa11.1 version 6, and has C / T polymorphism; the average daily weight gain of a pig with a TT genotype at the site is significantly higher than that of a pig with a CC genotype. The application uses forward and reverse primers to amplify a segment containing the above-mentioned molecular marker site, and Sanger sequencing is performed on the amplification product, so that the genotype of an individual can be quickly and accurately identified; the molecular marker can be used as a genetic marker for pig breeding, and pigs of a proper weight can be selected and bred; the pig average daily weight gain trait can be efficiently and accurately detected, and the pig average daily weight gain trait has important value for pig breeding and production.

This invention discloses the application of single nucleotide genetic markers in the breeding of Tibetan cattle adapted to high altitudes. Using whole-genome infiltration analysis, the whole-genome SNPs of Tibetan cattle were analyzed, revealing that three single nucleotide variations on the promoter of the Tibetan cattle EGLN1 gene may be associated with high-altitude adaptation. Furthermore, molecular markers for breeding high-altitude adapted Tibetan cattle were identified, which can be used to rapidly establish high-altitude adapted cattle populations, providing a basis for breeding cattle breeds adapted to high-altitude environments.

The application discloses a system, device or medium for diagnosing or predicting Alzheimer's disease based on a gene marker combination, and belongs to the technical field of tumor markers. The gene marker combination comprises TMEM74, CBLN4, SYDE2, SLFNL1, PITPNM3, MPPED1, SYNDIG1L, ADAMTS5, BMX, GLUL, KRT79, TULP2, PRSS16, IL25, KCNJ16, SLC22A25, CRYAA, DLX2, SHISA6, CRYGA, EFCAB3, GMFB, RIN1, DMRTA1, CER1, CYP26B1, REG3A, HTRA3, SLC2A4, CRYGB and SOX3. The expression level data of the gene marker combination are used to construct a machine learning model, which can be used to diagnose whether a subject has Alzheimer's disease or predict whether a subject has a risk of suffering from Alzheimer's disease, and has great clinical application value.

The invention discloses a carbapenem drug resistance marker screening method and system based on a cross-species compressed Debrueine diagram and a medium. The method comprises the following steps: starting from whole genome sequencing data of gram-negative bacteria belonging to different species and carbapenem drug phenotypes of the gram-negative bacteria, constructing a compressed Debrueine graph based on cross-species joint data, and taking existence / deletion of nodes in the graph as unified genetic variation characteristics. Performing correlation analysis on the nodes and the drug resistance phenotypes by using a linear hybrid model to obtain a candidate node set related to the phenotypes; k-mer is extracted based on the candidate node sequence, and secondary statistical screening is completed in combination with chi-square test and mutual information; and finally determining a group of carbapenem drug-resistant genetic markers which can be applicable across species through a hierarchical feature selection strategy of random forest and XGBoost. Efficient dimension reduction of large-scale cross-species genome data, cross-species consistent variation representation and high-interpretability marker screening are achieved.