8 results about "Disease susceptibility" patented technology

The invention belongs to the field of plant genetic engineering and crop disease-resistant breeding, and discloses a cotton WRKY transcription factor gene GhWRKY21 and application thereof in regulation of fusarium wilt resistance of cotton. The nucleotide sequence of the gene is shown as SEQ ID NO: 1, and the amino acid sequence of the encoded protein is SEQ ID NO: 2. Researches prove that the GhWRKY21 is a negative regulation factor of cotton fusarium wilt resistance, and the resistance of cotton to fusarium wilt caused by fusarium oxysporum (fusarium wilt specialized type) can be remarkably improved by inhibiting the expression of the GhWRKY21 through technologies such as VIGS, RNAi or gene editing. The GhWRKY21 can be rapidly induced by defense signal molecules such as SA, JA and ABA, the molecular mechanism for regulating and controlling the disease resistance of the GhWRKY21 is related to reactive oxygen (H2O2) metabolic balance, and the over-expression of the gene can cause excessive accumulation of H2O2 after pathogenic bacteria infection, cause oxidative damage and enhance the susceptibility of plants. In addition, the invention also provides a related disease-resistant construct, a transgenic plant and a molecular marker screening method of a cotton fusarium wilt resistant material based on the GhWRKY21 expression level, and provides a key target gene for cotton disease-resistant molecular breeding.

The present disclosure relates to the identification of single nucleotide polymorphisms (SNPs) in the Gamma genomic block in the central region of the major histocompatibility complex (MHC) that can be used for matching transplant donors and recipients and determining disease susceptibility.

The present invention relates to an artificial intelligence–driven platform designed for comprehensive genetic counseling, hereditary cancer risk assessment, and automated pedigree analysis. The invention integrates genomic data, clinical features, and multigenerational family history through advanced data modeling and machine learning algorithms to enable precise, scalable, and evidence-based genetic consultation. Traditional genetic counseling processes are labor-intensive, requiring manual pedigree construction and subjective evaluation of variant pathogenicity and familial inheritance. These limitations result in delayed risk stratification and inconsistent preventive recommendations. The disclosed platform overcomes these shortcomings by introducing an intelligent, interoperable system that automates the acquisition, normalization, and interpretation of heterogeneous genetic and clinical data to deliver real-time, individualized counseling outcomes. The system comprises five primary modules: (1) a data acquisition module, (2) a data processing and inference engine, (3) a pedigree generation and visualization unit, (4) a counseling and recommendation module, and (5) a secure cloud-based user interface. The data acquisition module receives and harmonizes multi-source inputs including genomic sequencing results, variant annotation files (such as VCF or BAM formats), patient demographics, electronic health records (EHRs), and family medical history collected via structured questionnaires or natural language processing (NLP) of unstructured clinical notes. The processing engine employs supervised and unsupervised machine-learning models trained on large-scale, anonymized datasets of hereditary cancer syndromes, enabling the prediction of gene-level pathogenicity, inheritance mode, and personalized disease susceptibility. The AI model calculates individualized hereditary risk scores, integrating polygenic risk factors and family aggregation metrics. The pedigree generation module automatically constructs interactive multigenerational family trees, highlighting affected members, carriers, and probable inheritance patterns using graph-based inference algorithms. This visualization facilitates intuitive understanding of familial transmission, carrier probability, and consanguinity. The counseling module translates computed risk profiles into actionable, evidence-based recommendations, aligned with international clinical guidelines such as NCCN, ACMG, and ESMO. These outputs include suggestions for confirmatory genetic tests, early screening programs, lifestyle modifications, and targeted preventive interventions. Reports are automatically generated for both clinicians and patients, promoting consistent and reproducible genetic counseling. The user interface operates as a secure, GDPR- and HIPAA- compliant digital platform accessible via web or API integration with hospital information systems. In certain embodiments, the platform supports federated learning across multiple institutions or countries, ensuring model improvement without direct data sharing, thereby preserving patient privacy and data sovereignty. In one embodiment, the system is validated across data cohorts from at least eight countries to ensure cross-population generalizability of its predictive models. The platform's modular design allows integration with additional AI-based oncology tools, digital pathology systems, and precision medicine workflows. Overall, the invention provides a robust and scalable technological infrastructure that transforms genetic counseling from a manual, expert-dependent process into a data-driven, automated, and globally interoperable service. By combining AI-based analytics, dynamic pedigree visualization, and standardized preventive guidance, the invention significantly enhances the accuracy, accessibility, and cost-effectiveness of hereditary cancer risk management.

The invention belongs to the technical field of plant genetic engineering, and particularly relates to application of a wheat MYB48 transcription factor gene in regulation of stripe rust resistance of crops. The wheat MYB48 transcription factor gene is a novel plant transcription factor, responds to infection up-regulation expression of wheat on stripe rust, and has the function of promoting wheat to be infected with stripe rust. After the wheat MYB48 transcription factor gene is knocked out or silenced, the resistance of a wheat plant to stripe rust infection is improved, and it is proved that the MYB48 transcription factor gene plays a role in disease infection in the interaction of wheat and stripe rust. Furthermore, the stripe rust resistance of the wheat can be improved and a stripe rust resistant wheat material can be cultivated by negatively regulating the expression of the MYB48 transcription factor gene of the wheat, and a biological material and a technical support are provided for breeding the stripe rust resistant wheat.

The present application belongs to the technical field of plant cultivation, and provides a method for promoting the branching of pepper variety S16, which comprises compounding 6-benzylaminopurine (6-BA) and gibberellin (GA3), and performing foliar spraying on pepper seedlings at a development stage of 3-5 true leaves with a specific concentration (6-BA 20 mg / L, GA3 100 mg / L) and an amount (50 mL) at an interval of 7 days for 4 times in succession, so as to construct a chemical regulation scheme. The present application solves the technical problems of traditional physical pinching, such as laboriousness, disease susceptibility, and unstable effect of single hormone treatment, and difficulty in effectively inducing early branching of the variety. The present application analyzes the regulation effect of compounding use of two plant growth regulators on the branching number, provides a theoretical basis for plant type optimization in pepper cultivation, is suitable for seedling raising and cultivation of pepper variety S16, and provides a technical means for realizing plant type management of the variety.

The application relates to an endometriosis causal gene screening method and device based on cross-brain region genetic regulation integration analysis, equipment and a medium, and relates to the technical field of biomedical testing. The method constructs a cross-system genetic analysis platform, realizes a reproducible cross-tissue genetic integration analysis framework by integrating brain region eQTL data and large sample GWAS statistical results, and comprises the following steps: identifying a potential pathogenic path and a candidate causal gene of central expression factors by using eQTL data and GWAS data, covering data acquisition, tool variable construction, causal inference modeling, linkage disequilibrium control and functional annotation analysis, realizing cross-system analysis of a genetic regulation mechanism of an endometriosis pathogenic risk, and focusing on exploring a remote action path of brain region homeostatic expression on disease susceptibility.

The invention relates to an SCAR molecular marker for identifying pepper rust resistance and application of the SCAR molecular marker, and belongs to the technical field of molecular markers. The SCAR molecular marker disclosed by the invention is derived from a DNA fragment which is obtained by screening through an AFLP (Amplified Fragment Length Polymorphism) technology and specifically exists in low-resistance or non-resistance zanthoxylum bungeanum. The result of the embodiment verifies that the SCAR molecular marker provided by the invention has the remarkable advantages of high specificity, quick detection, simplicity and convenience in operation, wide application and the like, is only expressed in pepper leaves with low rust resistance or no rust resistance, and is not expressed in pepper leaves with high rust resistance. Through repeated verification, the specificity can reach 100%, and disease-resistant germplasm and disease-susceptible germplasm can be accurately distinguished.

The application provides a peanut anti-rhizoctonia solani NBS-LRR encoding gene AhRRS6 and application, the nucleotide sequence of the gene AhRRS6 is as shown in SEQ ID NO.1 (from the genome of a disease-resistant variety YY92) and SEQ ID NO.2 (from the genome of a disease-susceptible variety XHXL). The gene AhRRS6 (SEQ ID NO.1) heterologous overexpression tobacco significantly improves the resistance of tobacco to rhizoctonia solani. By constructing the overexpression vector of AhRRS6 transgenic n. benthamiana, under the infection of rhizoctonia solani, the gene AhRRS6y from the disease-resistant variety is compared with the gene AhRRS6x from the disease-susceptible variety and non-transgenic plants, and the transgenic plants of the disease-resistant variety show obvious disease resistance, while the alleles of the disease-susceptible variety and the non-transgenic control show disease susceptibility. The application provides a gene resource and theoretical basis for the genetic engineering breeding of plant resistance to rhizoctonia solani.