189 results about "Individual gene" patented technology

Methods, computer program(s) and database(s) to analyze and make use of gene haplotype information. These include methods, program, and database to find and measure the frequency of haplotypes in the general population; methods, program, and database to find correlation's between an individual's haplotypes or genotypes and a clinical outcome; methods, program, and database to predict an individual's haplotypes from the individual's genotype for a gene; and methods, program, and database to predict an individual's clinical response to a treatment based on the individual's genotype or haplotype.

The present invention relates to methods, apparatus and computer systems for assigning a numerical value to a genotype at a single- or multi-base segment in an individual's genome to denote the presence of a match or a mismatch of a nucleic acid base sequence of one or more chromosomal copies of the segment, as compared to the nucleic acid base sequence at a reference genome segment that corresponds to the segment of the individual's genome. The methods involve assigning a single digit numerical value to the match or the mismatch of each chromosomal copy of the segment in the genome, so that the numerical value assigned to a mismatch is greater than the numerical value of the match. A null symbol is assigned to a no call determination. The assigned numerical values are summed and a total numerical value which is a single digit or a fixed number of digits is obtained. The steps are repeated to create a vector of total numerical values for the segment among the set of genomes, to thereby obtain a segment-specific pattern of genotype match / mismatch between a set of genomes and the nucleic acid base sequence at the reference genome segment. The segment-specific pattern, also referred to as a “diff pattern” can be used to filter or uncover specific trends or sub-patterns across a set of genomes, and more quickly identify genotypic / phenotypic relationships by identifying sites where the distribution of genotypes in the set of genomes relates in a distinctive, causal way to the distribution of a given phenotype among the individuals whose genomes are under study.

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.

The present disclosure provides a method of modifying cells in order to enhance lentiviral titers, cell lines that are modified and modifying reagents. By mediating individual genes and combination thereof, lentiviral titers may be increased.