| URL: | http://www.annualreviews.org/page/journal/pubdates |
| Full name: | Database of Genomic Variation and Phenotype in Humans Using Ensembl Resources |
| Description: | DECIPHER (Database of Genomic Variation and Phenotype in Humans Using Ensembl Resources) shares candidate diagnostic variants and phenotypic data from patients with genetic disorders to facilitate research and improve the diagnosis, management, and therapy of rare diseases. The platform sits at the boundary between genomic research and the clinical community. DECIPHER aims to ensure that the most up-to-date data are made rapidly available within its interpretation interfaces to improve clinical care. Newly integrated cardiac case-control data that provide evidence of gene-disease associations and inform variant interpretation exemplify this mission. New research resources are presented in a format optimized for use by a broad range of professionals supporting the delivery of genomic medicine. The interfaces within DECIPHER integrate and contextualize variant and phenotypic data, helping to determine a robust clinico-molecular diagnosis for rare-disease patients, which combines both variant classification and clinical fit. DECIPHER supports discovery research, connecting individuals within the rare-disease community to pursue hypothesis-driven research. |
| Year founded: | 2023 |
| Last update: | 2023-08-25 |
| Version: | 1.0 |
| Accessibility: |
Accessible
|
| Country/Region: | United Kingdom |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Wellcome Sanger Institute |
| Address: | Wellcome Sanger Institute, Hinxton, United Kingdom. |
| City: | Hinxton |
| Province/State: | |
| Country/Region: | United Kingdom |
| Contact name (PI/Team): | Helen V Firth |
| Contact email (PI/Helpdesk): | hvf21@cam.ac.uk |
|
DECIPHER: Improving Genetic Diagnosis Through Dynamic Integration of Genomic and Clinical Data. [PMID: 37285546]
DECIPHER (atabas of Genomi Varation and henotype in umans Using nsembl esources) shares candidate diagnostic variants and phenotypic data from patients with genetic disorders to facilitate research and improve the diagnosis, management, and therapy of rare diseases. The platform sits at the boundary between genomic research and the clinical community. DECIPHER aims to ensure that the most up-to-date data are made rapidly available within its interpretation interfaces to improve clinical care. Newly integrated cardiac case-control data that provide evidence of gene-disease associations and inform variant interpretation exemplify this mission. New research resources are presented in a format optimized for use by a broad range of professionals supporting the delivery of genomic medicine. The interfaces within DECIPHER integrate and contextualize variant and phenotypic data, helping to determine a robust clinico-molecular diagnosis for rare-disease patients, which combines both variant classification and clinical fit. DECIPHER supports discovery research, connecting individuals within the rare-disease community to pursue hypothesis-driven research. Expected final online publication date for the , Volume 24 is August 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates. |