Muiño et al., 2021 - Google Patents
RP11-362K2. 2: RP11-767I20. 1 genetic variation is associated with post-reperfusion therapy parenchymal hematoma. A GWAS meta-analysisMuiño et al., 2021
View HTML- Document ID
- 7914252503881075118
- Author
- Muiño E
- Cárcel-Márquez J
- Carrera C
- Llucià-Carol L
- Gallego-Fabrega C
- Cullell N
- Lledós M
- Castillo J
- Sobrino T
- Campos F
- Rodríguez-Castro E
- Millán M
- Muñoz-Narbona L
- Bustamante A
- López-Cancio E
- Ribó M
- Álvarez-Sabín J
- Jiménez-Conde J
- Roquer J
- Giralt-Steinhauer E
- Soriano-Tárraga C
- Vives-Bauza C
- Navarro R
- Tur S
- Obach V
- Arenillas J
- Segura T
- Serrano-Heras G
- Martí-Fàbregas J
- Delgado-Mederos R
- Camps-Renom P
- Prats-Sánchez L
- Guisado D
- Guasch M
- Marin R
- Martínez-Domeño A
- Freijo-Guerrero M
- Moniche F
- Cabezas J
- Castellanos M
- Krupinsky J
- Strbian D
- Tatlisumak T
- Thijs V
- Lemmens R
- Slowik A
- Pera J
- Heitsch L
- Ibañez L
- Cruchaga C
- Dhar R
- Lee J
- Montaner J
- Fernández-Cadenas I
- International Stroke Genetic Consortium
- Spanish Stroke Genetic Consortium
- Publication year
- Publication venue
- Journal of clinical medicine
External Links
Snippet
Stroke is one of the most common causes of death and disability. Reperfusion therapies are the only treatment available during the acute phase of stroke. Due to recent clinical trials, these therapies may increase their frequency of use by extending the time-window …
- 230000002068 genetic 0 title abstract description 66
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/36—Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lee et al. | Sarcopenia index as a predictor of clinical outcomes in older patients with coronary artery disease | |
| Almaani et al. | Rethinking lupus nephritis classification on a molecular level | |
| Gumus | The frequency of MEFV gene mutations and genotypes in Sanliurfa province, South-Eastern region of Turkey, after the Syrian Civil War by using next generation sequencing and report of a Novel Exon 4 Mutation (I423T) | |
| Łukomska et al. | Recurrent mutations in BRCA1, BRCA2, RAD51C, PALB2 and CHEK2 in Polish patients with ovarian cancer | |
| Muiño et al. | RP11-362K2. 2: RP11-767I20. 1 genetic variation is associated with post-reperfusion therapy parenchymal hematoma. A GWAS meta-analysis | |
| Łacina et al. | BSG and MCT1 genetic variants influence survival in multiple myeloma patients | |
| Wu et al. | MADD-FOLH1 polymorphisms and their haplotypes with serum lipid levels and the risk of coronary heart disease and ischemic stroke in a Chinese Han population | |
| Jiang et al. | Association among complement factor H autoantibodies, deletions of CFHR, and the risk of atypical hemolytic uremic syndrome | |
| Younes et al. | A whole-genome sequencing association study of low bone mineral density identifies new susceptibility loci in the phase I Qatar Biobank cohort | |
| Annunziata et al. | The angiotensin converting enzyme deletion/deletion genotype is a risk factor for severe COVID-19: implication and utility for patients admitted to emergency department | |
| Jalowiec et al. | JAK2 unmutated polycythaemia—Real-world data of 10 years from a tertiary reference hospital | |
| Tuwar et al. | Brain-derived neurotrophic factor (BDNF) and translocator protein (TSPO) as diagnostic biomarkers for acute ischemic stroke | |
| Samfireag et al. | Assessment of the Particularities of Thrombophilia in the Management of Pregnant Women in the Western Part of Romania | |
| Cernera et al. | Molecular analysis of prothrombotic gene variants in patients with acute ischemic stroke and with transient ischemic attack | |
| Feigin et al. | Age-dependent biomarkers for prediction of in-hospital mortality in COVID-19 patients | |
| Russo et al. | Prognostic Value of Creatinine Levels at Admission on Disease Progression and Mortality in Patients with COVID-19—An Observational Retrospective Study | |
| Liao et al. | Red cell distribution width and mortality in patients undergoing percutaneous coronary intervention | |
| Taylor et al. | The relationship of maternal gestational mass spectrometry-derived metabolites with offspring congenital heart disease: results from multivariable and Mendelian randomization analyses | |
| Orlewska et al. | Association between glutathione S-transferases gene variants and COVID-19 severity in previously vaccinated and unvaccinated Polish patients with confirmed SARS-CoV-2 infection | |
| Añón-Oñate et al. | Multidisciplinary unit improves pregnancy outcomes in women with rheumatic diseases and hereditary thrombophilias: an observational study | |
| Chang et al. | Association between exosomal miRNAs and coronary artery disease by next-generation sequencing | |
| Wu et al. | The brachyury Gly177Asp SNP is not associated with a risk of skull base chordoma in the Chinese population | |
| Choi et al. | Bioinformatics analysis of gene expression profiles for diagnosing sepsis and risk prediction in patients with sepsis | |
| Pallante et al. | Liquid biopsy is a promising tool for genetic testing in idiopathic pulmonary fibrosis | |
| Chen et al. | Identification and validation of potential ferroptosis-related genes in glucocorticoid-induced osteonecrosis of the femoral head |