Streata et al., 2020 - Google Patents
Phenotype heterogeneity in 3q29 microduplication syndromeStreata et al., 2020
View HTML- Document ID
- 4200282263911368199
- Author
- Streata I
- Riza A
- Sosoi S
- Burada F
- Ioana M
- Publication year
- Publication venue
- Current Health Sciences Journal
External Links
Snippet
3q29 microduplication syndrome is characterized by widely variable clinical presentation, but generally mild features. Developmental delay, particularly speech, and intellectual disability, eye abnormalities and heart defects are more frequently seen in affected …
- 201000004210 chromosome 3q29 microduplication syndrome 0 title abstract description 11
Classifications
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
-
- 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
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/156—Polymorphic or mutational markers
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bureau et al. | Epileptic syndromes in infancy, childhood and adolescence | |
| Fang et al. | Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s disease | |
| Hardiman et al. | Amyotrophic lateral sclerosis | |
| Walhovd et al. | Timing of lifespan influences on brain and cognition | |
| Salameh et al. | Amyotrophic lateral sclerosis | |
| De La Torre-Ubieta et al. | Advancing the understanding of autism disease mechanisms through genetics | |
| Oskoui et al. | Clinically relevant copy number variations detected in cerebral palsy | |
| Castronovo et al. | Phenotypic spectrum of NRXN1 mono‐and bi‐allelic deficiency: a systematic review | |
| Korvatska et al. | R47H variant of TREM2 associated with Alzheimer disease in a large late-onset family: clinical, genetic, and neuropathological study | |
| Parisi | Clinical and molecular features of Joubert syndrome and related disorders | |
| WO2018077303A1 (en) | Compositions, methods and kits for detection of genetic variants for alzheimer's disease | |
| van Eyk et al. | Redefining cerebral palsies as a diverse group of neurodevelopmental disorders with genetic aetiology | |
| Celestino-Soper et al. | Deletions in chromosome 6p22. 3-p24. 3, including ATXN1, are associated with developmental delay and autism spectrum disorders | |
| Micalizzi et al. | Clinical, neuroradiological and molecular characterization of cerebellar dysplasia with cysts (Poretti–Boltshauser syndrome) | |
| Elkaim et al. | Deep brain stimulation for childhood dystonia: current evidence and emerging practice | |
| Nho et al. | Integration of bioinformatics and imaging informatics for identifying rare PSEN1 variants in Alzheimer’s disease | |
| Fowler et al. | Leveraging existing data sets to generate new insights into Alzheimer’s disease biology in specific patient subsets | |
| Ramanan et al. | Variants in PPP2R2B and IGF2BP3 are associated with higher tau deposition | |
| Liu et al. | The association between TOMM40 gene polymorphism and spontaneous brain activity in amnestic mild cognitive impairment | |
| Bonham et al. | Radiogenomics of C9orf72 expansion carriers reveals global transposable element derepression and enables prediction of thalamic atrophy and clinical impairment | |
| Lu et al. | Identification of a de novo mutation of the FOXG1 gene and comprehensive analysis for molecular factors in Chinese FOXG1-related encephalopathies | |
| Streata et al. | Phenotype heterogeneity in 3q29 microduplication syndrome | |
| Madrigal et al. | Spectrum of clinical heterogeneity of β-tubulin TUBB5 gene mutations | |
| Roussotte et al. | Neuroimaging and genetic risk for Alzheimer’s disease and addiction-related degenerative brain disorders | |
| Manca et al. | The neural signatures of psychoses in Alzheimer’s disease: a neuroimaging genetics approach |