Identification of atrial fibrillation associated genes and functional non-coding variants

Identification of atrial fibrillation associated genes and functional non-coding variants

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.

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Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/6c47420fc1c646169658c86522780b7c
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Sumario: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.

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