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34 results about "Germline mutation" patented technology

A germline mutation, or germinal mutation, is any detectable variation within germ cells (cells that, when fully developed, become sperm and ovum). Mutations in these cells are the only mutations that can be passed on to offspring, when either a mutated sperm or oocyte come together to form a zygote. After this fertilization event occurs, germ cells divide rapidly to produce all of the cells in the body, causing this mutation to be present in every somatic and germline cell in the offspring; this is also known as a constitutional mutation. Germline mutation is distinct from somatic mutation.

Intelligent tumor medication instruction system

The invention relates to an intelligent tumor medication instruction system. The intelligent tumor medication instruction system is characterized by comprising a patient information module, a gene mutation detection module, a medication instruction database and a detection result reporting module, wherein the patient information module is used for recording the basic information of a patient; the gene mutation detection module is used for detecting the gene mutation information of the patient, such as a gene name, a mutation site, mutation conditions, mutation frequency and germline mutation and / or somatic cell mutation; the medication instruction database is used for performing medication instruction and query according to the clinical information of the patient, automatically matching and sequencing the clinical information and the medication instruction and query results, and sending an optimum medication instruction scheme suitable for the tumor patient to the detection result reporting module; a doctor can instruct the medication on the tumor patient according to the medication scheme displayed by the detection result reporting module. The intelligent tumor medication instruction system is widely applied to the diagnosis and medication instruction process of the tumor patient.
Owner:BEIJING CAPITALBIO MEDLAB CO LTD +1

Method for distinguishing gene mutation type from individual tumor sample based on second-generation sequencing

The invention relates to a method for distinguishing gene mutation types an individual tumor sample based on second-generation sequencing. A tumor tissue sample and a normal tissue sample are used forlibrary construction and NGS sequencing respectively, strand bias and different types of base frequencies of mutation sites stored in an intermediate file BAM for biological information analysis of the tumor tissue sample are analyzed, the quality of base comparison and the frequency of noise are used as the training characteristics of machine learning, meanwhile, type information of corresponding mutation sites of the normal tissue sample is paired to serve as a prediction mutation type, a classification prediction model is constructed to distinguish somatic mutation from germline mutation,the model is used to distinguish somatic mutation from germline mutation, the detection efficiency is high, the specificity is high, and after the model is established, the individual tumor sample canbe used for NGS sequencing and mutation detection, the detection cost of a normal or cancer sample can be well saved, and meanwhile, the problem that normal tissues of tumor patients with specific types are difficult to obtain can be solved.
Owner:上海仁东医学检验所有限公司 +1

Identification method of highly stoichiometric non-germline mutation in eucaryotic cell

The invention relates to an identification method of the high stoichiometric ratio non-germline mutation in the eucaryotic cell and provides an semi-quantitative identification method of the protein synthesis error caused by the single amino acid mutation of the non-germline mutation (NGM), wherein the method is based on the proteomics technology and genome DNA sequencing of the mass spectrometry. The method is particularly as follows: the large-scale proteome analysis, the unrestricted sequence alignment and the identification and gene sequencing of the high resolution second-order mass spectrum and third-order mass spectrum of the synthetic peptide segment are integrated to perform systematic synthesis to the NGM and identify that the four peptide segments of four proteins contain the NGMs. By adopting the method for estimation, the NGM occurrence in the peptide segment is about 0.05%, which is more than 0.3% on the protein level. According to the peptide mass spectrum count ratio of mutant peptide segments to normal peptide segments, the stoichiometric ratio of the NGM is 0.05 to 0.71. By adopting the identification method, the NGM is proved to have high occurrence and stoichiometric ratio while the NGM is predicted to be used as a possible mechanism to join the basic biological and physiological processes.
Owner:JINGJIE PTM BIOLAB HANGZHOU CO LTD

Method for distinguishing somatic mutation and germline mutation

The invention relates to a method for distinguishing a somatic mutation and a germline mutation. The method comprises the following steps of obtaining at least one mutation site from a subject sample; obtaining a wild type support fragment and a mutant type support fragment, wherein the wild type support fragment is a cfDNA fragment containing a wild type base sequence, the mutant type support fragment is a cfDNA fragment containing a mutant type base sequence, the wild type base sequence is the same as a nucleotide sequence of a human reference genome at a corresponding position of a mutation site, and the mutant type base sequence is different; obtaining the number of the wild type support fragments with at least one length, obtaining the number of the corresponding mutant type support fragments with the same length, and calculating the difference value between the ratio of the wild type support fragments with the same length to the total number of the corresponding support fragments and the the ratio of the mutant type support fragments with the same length to the total number of the corresponding support fragments ; and taking the difference value as a distinguishing index. Method and device for identifying ctDNA from cfDNA are provided. The method is used for tumor family management and TMB detection.
Owner:GUANGZHOU BURNING ROCK DX CO LTD

A method for differentiating gene mutation types from individual tumor samples based on next-generation sequencing

The invention relates to a method for distinguishing gene mutation types an individual tumor sample based on second-generation sequencing. A tumor tissue sample and a normal tissue sample are used forlibrary construction and NGS sequencing respectively, strand bias and different types of base frequencies of mutation sites stored in an intermediate file BAM for biological information analysis of the tumor tissue sample are analyzed, the quality of base comparison and the frequency of noise are used as the training characteristics of machine learning, meanwhile, type information of corresponding mutation sites of the normal tissue sample is paired to serve as a prediction mutation type, a classification prediction model is constructed to distinguish somatic mutation from germline mutation,the model is used to distinguish somatic mutation from germline mutation, the detection efficiency is high, the specificity is high, and after the model is established, the individual tumor sample canbe used for NGS sequencing and mutation detection, the detection cost of a normal or cancer sample can be well saved, and meanwhile, the problem that normal tissues of tumor patients with specific types are difficult to obtain can be solved.
Owner:上海仁东医学检验所有限公司 +1

Methods for detecting biallelic loss of function in next-generation sequencing genomic data

A genomic data analyzer maybe configured to detect and characterize, with a variant analysis module, biallelic genomic alterations for at least one gene in next generation sequencing variant calling information for patient tumor samples characterized by different purity ratios of somatic genomic material. The variant analysis module may compare the observed variant fraction distributions of putative heterozygous germline mutations to the theoretical distributions corresponding to different chromosomal aberration events to detect a combination of genomic alteration events possibly causing the biallelic loss of function of the gene. The variant analysis module maybe used in cost effective, fully automated next-generation-sequencing oncogenomics testing to identify biallelic loss of function on tumor suppressor genes to facilitate the biological understanding and choice of a personalized oncology treatment targeting the analyzed patient tumor solely from next generation sequencing data variant information, without requiring complementary germline analysis or biological assays. The proposed genomic data analyzed may for instance help determine whether certain PARP inhibitors such as Olaparib are a recommended chemotherapy treatment to target ovarian or breast cancers in accordance with the BRCA1 and/or BRCA2 biallelic loss of function analysis.
Owner:SOPHIA GENETICS
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