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48 results about "Whole Genome Association Analysis" patented technology

Whole genome association analysis method, system and electronic equipment

The invention belongs to the field of gene data processing technology, and particularly relates to a whole genome association analysis method, a system and electronic equipment. The whole genome association analysis method comprises the steps of a, performing SNP site determining on original sequencing data of a sample, and obtaining SNP site information of the sample; b, establishing a coordinateaxis based on reference genome SNP information, and performing characteristic extraction on the SNP site information of the sample according to the coordinate axis based on the reference genome SNP information, and obtaining a characteristic vector of the sample; and c, clustering the characteristic vectors of the sample, obtaining the representative vectors of the sample, and combining the representative characteristic vectors for obtaining a non-redundancy sample. According to the method, through clustering the original data, characteristic expression of the sample is performed, and important characteristics are found, thereby reducing data computing amount; according to the similarity between the samples, the samples with high similarity are combined, and the rest samples are removed,thereby greatly reducing a memory requirement and improving efficiency.
Owner:SHENZHEN INST OF ADVANCED TECH

SNP marker for identifying apricot peel hair traits, primer and application

The invention provides an SNP marker for identifying apricot peel hair traits, a primer and application. According to the SNP marker related to the hairy/hair-free character of the apricot fruit epidermis, the SNP marker related to the hairy/hair-free character of the apricot fruit epidermis is obtained through a whole genome association analysis method, the polymorphic site is located at the 15954845bp position of the No. 7 chromosome of an apricot genome and is a basic group G or C, and a detection primer is designed aiming at the site; according to the method, one pair of primers is utilized, whether apricot fruit epidermis is hairy or not can be identified in the seedling stage, early screening of hairy/hair-free characters is achieved, the breeding age limit is shortened, through verification of 244 parts of apricot resources, the result shows that the identification accuracy of the method on the hairy/hair-free character of the surface skin of the apricot fruit reaches 100%; and the method the hairy/hair-free character of the apricot fruit epidermis has the advantages of simplicity, rapidness, high efficiency, low cost and the like, and has an important application value in fresh apricot breeding.
Owner:北京市林业果树科学研究院

Efficient high-accuracy whole-genome selection method capable of performing parallel operation

The invention relates to the technical field of animal and plant breeding and human disease prediction, and provides an efficient high-accuracy whole-genome selection method capable of performing parallel operation. The method comprises the following steps: firstly, reading an original genotype file and a phenotype file, constructing a new genotype file and a new phenotype file, and calculating agenetic relationship matrix of all individuals; then, extracting all individuals in the new phenotypic file as a reference group, and extracting all individuals without phenotypic data in the originalgenotypic file as a prediction group; carrying out whole genome association analysis by utilizing the reference group data, and extracting result characteristics of the whole genome association analysis; constructing a model library with specific characters, sequentially optimizing an optimal fixed effect and an optimal random effect by adopting a cross validation strategy, and selecting an optimal prediction model from the model library; and finally, calculating genome estimated breeding values of the prediction group by utilizing the optimal prediction model. The method can quickly, accurately and stably predict individual genome breeding values, and thus the accuracy and efficiency of whole genome selection are improved.
Owner:武汉影子基因科技有限公司

Marker related to earliness or lateness of flowering period of Siberian apricot and detection primer, method and application thereof

The invention discloses a marker related to the earliness or lateness of the flowering period of Siberian apricot and a detection primer, a detection method and application thereof, 7 SNP markers related to earliness or lateness of the flowering period of Siberian apricot exist in chromosome 6 of Siberian apricot, 6 pairs of primers for detecting earliness or lateness of the flowering period of Siberian apricot are designed; and PCR amplification is performed through the 6 pairs of primers, to detect a marker site related to the earliness or lateness of the flowering period of Siberian apricot, and carry out sequencing on the genotype of the marker site, thereby judging the earliness or lateness of the flowering period of the Siberian apricot. Whole genome association analysis of the Siberian apricot in China finds that the site is remarkably related to the earliness or lateness of the flowering period of the Siberian apricot, the marker is further developed for the site, and a methodand a special primer for detecting the earliness or lateness of the flowering period of the Siberian apricot are provided. And the marker provided by the invention can be used for specifically detecting the genotype of the marker site of the Siberian apricot, can also be used as a new tool for selecting the marker in an assisted mode in breeding in different flowering periods, and has very important positive significance.
Owner:中国林业科学研究院经济林研究所

Crop grain metabolism character detection and genetic analysis method based on hyperspectral imaging

ActiveCN113393897AAddressing Insufficient Genetic AnalysisImprove throughputProteomicsGenomicsPhenotype genotypeWhole Genome Association Analysis
The invention discloses a crop grain metabolic trait detection and genetic analysis method based on hyperspectral imaging. The method comprises the following steps: firstly, acquiring hyperspectral images of crop grains by using a hyperspectral camera to obtain hyperspectral indexes of thousands of crop grains, and secondly, detecting thousands of metabolites by using a gas phase/high performance liquid chromatography-tandem mass spectrometry method; based on genetic typing information of each strain of a population, carrying out whole genome association analysis by respectively taking a hyperspectral index and metabolite content as crop grain phenotypic characters, screening significant SNP sites, carrying out co-localization analysis on the two groups of significant SNP sites, and constructing a hyperspectral phenotype-genotype-metabolic phenotype association network H1-G-M1; carrying out feature screening on the hyperspectral index and the metabolite content by using Lasso regression, and constructing a hyperspectral-metabolic phenotype association network H2-M2; analyzinfg the H1-G-M1 network and the H2-M2 network are comprehensively, and integrating the H1-G-M1 network and the H2-M2 network to construct the hyperspectral phenotype-genotype-metabolite phenotype associated network H3-G-M3, and futher mining the new information of the metabolic genetic structure of the crop grains.
Owner:HUAZHONG AGRI UNIV
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