1. Identification of atrial fibrillation associated genes and functional non-coding variants
- Author
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Patrick T. Ellinor, Karel van Duijvenboden, Bastiaan J. Boukens, Antoinette F. van Ouwerkerk, Antoine A.F. de Vries, Igor R. Efimov, Jia Liu, Vincent M. Christoffels, James F. Martin, Marie-José Goumans, Marcelo A. Nobrega, Fernanda M Bosada, Koen T. Scholman, Lindsey E. Montefiori, Phil Barnett, Matthew C. Hill, ACS - Heart failure & arrhythmias, Graduate School, Experimental Cardiology, Medical Biology, ARD - Amsterdam Reproduction and Development, Laboratory Genetic Metabolic Diseases, AGEM - Endocrinology, metabolism and nutrition, and AGEM - Inborn errors of metabolism
- Subjects
0301 basic medicine ,Epigenomics ,Science ,General Physics and Astronomy ,Computational biology ,030204 cardiovascular system & hematology ,Biology ,Regulatory Sequences, Nucleic Acid ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Cell Line ,Transcriptome ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Genetic variation ,Atrial Fibrillation ,Animals ,Humans ,Genetic Predisposition to Disease ,Myocytes, Cardiac ,Heart Atria ,lcsh:Science ,Enhancer ,Gene ,Genetic association ,Multidisciplinary ,Gene Expression Profiling ,Genetic Variation ,General Chemistry ,Chromatin ,3. Good health ,030104 developmental biology ,Regulatory sequence ,lcsh:Q ,Genome-Wide Association Study - Abstract
Disease-associated genetic variants that lie in non-coding regions found by genome-wide association studies are thought to alter the functionality of transcription regulatory elements and target gene expression. To uncover causal genetic variants, variant regulatory elements and their target genes, here we cross-reference human transcriptomic, epigenomic and chromatin conformation datasets. Of 104 genetic variant regions associated with atrial fibrillation candidate target genes are prioritized. We optimize EMERGE enhancer prediction and use accessible chromatin profiles of human atrial cardiomyocytes to more accurately predict cardiac regulatory elements and identify hundreds of sub-threshold variants that co-localize with regulatory elements. Removal of mouse homologues of atrial fibrillation-associated regions in vivo uncovers a distal regulatory region involved in Gja1 (Cx43) expression. Our analyses provide a shortlist of genes likely affected by atrial fibrillation-associated variants and provide variant regulatory elements in each region that link genetic variation and target gene regulation, helping to focus future investigations.
- Published
- 2019