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DECIPHER: Improving genetic diagnosis through dynamic integration of genomic and clinical data.

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Title: DECIPHER: Improving genetic diagnosis through dynamic integration of genomic and clinical data.
Authors: Foreman, J
Perrett, D
Mazaika, E
Hunt, SE
Ware, JS
Firth, HV
Item Type: Journal Article
Abstract: 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. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 24 is August 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Issue Date: 7-Jun-2023
Date of Acceptance: 1-Jun-2023
URI: http://hdl.handle.net/10044/1/106063
DOI: 10.1146/annurev-genom-102822-100509
ISSN: 1545-293X
Publisher: Annual Reviews
Start Page: 1
End Page: 26
Journal / Book Title: Annual Review of Genomics and Human Genetics
Volume: 24
Copyright Statement: Copyright © 2023 by the author(s). This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information
Keywords: 0603 Evolutionary Biology
0604 Genetics
1801 Law
Genetics & Heredity
Publication Status: Published
Conference Place: United States
Open Access location: https://www.annualreviews.org/doi/10.1146/annurev-genom-102822-100509
Online Publication Date: 2023-06-07
Appears in Collections:National Heart and Lung Institute
Institute of Clinical Sciences



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