6
IRUS TotalDownloads
Altmetric
The Egyptian collaborative cardiac genomics (ECCO-GEN) Project: defining a healthy volunteer cohort
File | Description | Size | Format | |
---|---|---|---|---|
s41525-020-00153-w.pdf | Published version | 1.46 MB | Adobe PDF | View/Open |
Title: | The Egyptian collaborative cardiac genomics (ECCO-GEN) Project: defining a healthy volunteer cohort |
Authors: | Aguib, Y Allouba, M Afify, A Halawa, S El-Khatib, M Sous, M Galal, A Abdelrahman, E Shehata, N El Sawy, A Elmaghawry, M Anwer, S Kamel, O El Mozy, W Khedr, H Kharabish, A Thabet, N Theotokis, P Buchan, R Govind, R Whiffin, N Walsh, R Aguib, H ElGuindy, A O'Regan, D Cook, S Barton, P Ware, J Yacoub, M |
Item Type: | Journal Article |
Abstract: | The integration of comprehensive genomic and phenotypic data from diverse ethnic populations offers unprecedented opportunities towards advancements in precision medicine and novel diagnostic technologies. Current reference genomic databases are not representative of the global human population, making variant interpretation challenging, especially in underrepresented populations such as the North African population. To address this, the Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project launched a study comprising 1,000 individuals free of cardiovascular disease (CVD). Here, we present the first 391 Egyptian healthy volunteers (EHVols) recruited to establish a pilot phenotyped control cohort. All individuals underwent detailed clinical investigation, including cardiac MRI, and were sequenced using a targeted panel of 174 genes with reported roles in inherited cardiac conditions (ICC). We identified 1,262 variants in 27 cardiomyopathy genes of which 15.1% were not captured in current global and regional genetic reference databases (here: gnomAD and Great Middle Eastern (GME) Variome). The ECCO-GEN project aims at defining the genetic landscape of an understudied population and providing individual-level genetic and phenotypic data to support future studies in CVD and population genetics. |
Issue Date: | 23-Oct-2020 |
Date of Acceptance: | 31-Aug-2020 |
URI: | http://hdl.handle.net/10044/1/82801 |
DOI: | 10.1038/s41525-020-00153-w |
ISSN: | 2056-7944 |
Publisher: | Nature Research |
Start Page: | 1 |
End Page: | 8 |
Journal / Book Title: | npj Genomic Medicine |
Volume: | 5 |
Issue: | 46 |
Copyright Statement: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons. org/licenses/by/4.0/. |
Sponsor/Funder: | Wellcome Trust Department of Health Imperial College Healthcare NHS Trust- BRC Funding Wellcome Trust Rosetrees Trust British Heart Foundation British Heart Foundation Imperial College Healthcare NHS Trust- BRC Funding British Heart Foundation |
Funder's Grant Number: | 100134/Z/12/Z HICF-R6-373 RDB02 107469/Z/15/Z M735 RE/18/4/34215 RG/19/6/34387 RDC04 NH/17/1/32725 |
Keywords: | Cardiomyopathies Personalized medicine |
Publication Status: | Published |
Online Publication Date: | 2020-10-23 |
Appears in Collections: | National Heart and Lung Institute Institute of Clinical Sciences Faculty of Medicine |
This item is licensed under a Creative Commons License