Nature Communications (Oct 2019)
Identification of atrial fibrillation associated genes and functional non-coding variants
- Antoinette F. van Ouwerkerk,
- Fernanda M. Bosada,
- Karel van Duijvenboden,
- Matthew C. Hill,
- Lindsey E. Montefiori,
- Koen T. Scholman,
- Jia Liu,
- Antoine A. F. de Vries,
- Bastiaan J. Boukens,
- Patrick T. Ellinor,
- Marie José T. H. Goumans,
- Igor R. Efimov,
- Marcelo A. Nobrega,
- Phil Barnett,
- James F. Martin,
- Vincent M. Christoffels
Affiliations
- Antoinette F. van Ouwerkerk
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- Fernanda M. Bosada
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- Karel van Duijvenboden
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- Matthew C. Hill
- Program in Developmental Biology, Baylor College of Medicine
- Lindsey E. Montefiori
- Department of Human Genetics, The University of Chicago
- Koen T. Scholman
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- Jia Liu
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2
- Antoine A. F. de Vries
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2
- Bastiaan J. Boukens
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- Patrick T. Ellinor
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard
- Marie José T. H. Goumans
- Department of Cell and Chemical Biology, Leiden University Medical Center
- Igor R. Efimov
- Department of Biomedical Engineering, George Washington University
- Marcelo A. Nobrega
- Department of Human Genetics, The University of Chicago
- Phil Barnett
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- James F. Martin
- Program in Developmental Biology, Baylor College of Medicine
- Vincent M. Christoffels
- Department of Medical Biology, Amsterdam University Medical Centers, Academic Medical Center
- DOI
- https://doi.org/10.1038/s41467-019-12721-5
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 14
Abstract
The majority of disease-associated genetic variants lie in non-coding regions. Here the authors generated and compiled human transcriptomic, epigenomic and chromatin conformation datasets, to identify genes associated with atrial fibrillation and functional non-coding variants.
