Literature DB >> 32248749

Identification of Functional Variant Enhancers Associated With Atrial Fibrillation.

Fernanda M Bosada1, Jia Liu2,3, Antoine A F de Vries2,3, Vincent M Christoffels1, Antoinette F van Ouwerkerk1, Juan Zhang2,3, Karel van Duijvenboden1, Mark Chaffin4, Nathan R Tucker4,5, Daniel Pijnappels2,3, Patrick T Ellinor4,5, Phil Barnett1.   

Abstract

RATIONALE: Genome-wide association studies have identified a large number of common variants (single-nucleotide polymorphisms) associated with atrial fibrillation (AF). These variants are located mainly in noncoding regions of the genome and likely include variants that modulate the function of transcriptional regulatory elements (REs) such as enhancers. However, the actual REs modulated by variants and the target genes of such REs remain to be identified. Thus, the biological mechanisms by which genetic variation promotes AF has thus far remained largely unexplored.
OBJECTIVE: To identify REs in genome-wide association study loci that are influenced by AF-associated variants. METHODS AND
RESULTS: We screened 2.45 Mbp of human genomic DNA containing 12 strongly AF-associated loci for RE activity using self-transcribing active regulatory region sequencing and a recently generated monoclonal line of conditionally immortalized rat atrial myocytes. We identified 444 potential REs, 55 of which contain AF-associated variants (P<10-8). Subsequently, using an adaptation of the self-transcribing active regulatory region sequencing approach, we identified 24 variant REs with allele-specific regulatory activity. By mining available chromatin conformation data, the possible target genes of these REs were mapped. To define the physiological function and target genes of such REs, we deleted the orthologue of an RE containing noncoding variants in the Hcn4 (potassium/sodium hyperpolarization-activated cyclic nucleotide-gated channel 4) locus of the mouse genome. Mice heterozygous for the RE deletion showed bradycardia, sinus node dysfunction, and selective loss of Hcn4 expression.
CONCLUSIONS: We have identified REs at multiple genetic loci for AF and found that loss of an RE at the HCN4 locus results in sinus node dysfunction and reduced gene expression. Our approach can be broadly applied to facilitate the identification of human disease-relevant REs and target genes at cardiovascular genome-wide association studies loci.

Entities:  

Keywords:  STARR-seq; atrial fibrillation; chromatin; gene expression; genetics; genome-wide association study; regulation; variants

Mesh:

Substances:

Year:  2020        PMID: 32248749     DOI: 10.1161/CIRCRESAHA.119.316006

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  15 in total

Review 1.  Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Authors:  Carolina Roselli; Michiel Rienstra; Patrick T Ellinor
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

2.  Atrial Fibrillation Is a Complex Trait: Very Complex.

Authors:  M Benjamin Shoemaker; Dan M Roden
Journal:  Circ Res       Date:  2020-07-02       Impact factor: 17.367

3.  Decoding the PITX2-controlled genetic network in atrial fibrillation.

Authors:  Jeffrey D Steimle; Francisco J Grisanti Canozo; Minjun Park; Zachary A Kadow; Md Abul Hassan Samee; James F Martin
Journal:  JCI Insight       Date:  2022-06-08

4.  ATAC-Seq Reveals an Isl1 Enhancer That Regulates Sinoatrial Node Development and Function.

Authors:  Ravi Mandla; Hongmei Ruan; Giselle Galang; Catherine Jung; Tanvi Sinha; Nicole R Stone; Roland S Wu; Brandon J Mannion; Prasanna K R Allu; Kevin Chang; Ashwin Rammohan; Marie B Shi; Len A Pennacchio; Brian L Black; Vasanth Vedantham
Journal:  Circ Res       Date:  2020-10-12       Impact factor: 17.367

Review 5.  Genomic enhancers in cardiac development and disease.

Authors:  Chukwuemeka G Anene-Nzelu; Mick C J Lee; Wilson L W Tan; Albert Dashi; Roger S Y Foo
Journal:  Nat Rev Cardiol       Date:  2021-08-11       Impact factor: 32.419

6.  Role of genetics in atrial fibrillation management.

Authors:  Michiel Rienstra; Joylene E Siland; Patrick T Ellinor
Journal:  Europace       Date:  2021-04-10       Impact factor: 5.214

Review 7.  Genetics of atrial fibrillation.

Authors:  Jitae A Kim; Mihail G Chelu; Na Li
Journal:  Curr Opin Cardiol       Date:  2021-05-01       Impact factor: 2.161

8.  PRRX1 Loss-of-Function Mutations Underlying Familial Atrial Fibrillation.

Authors:  Xiao-Juan Guo; Xing-Biao Qiu; Jun Wang; Yu-Han Guo; Chen-Xi Yang; Li Li; Ri-Feng Gao; Zun-Ping Ke; Ruo-Min Di; Yu-Min Sun; Ying-Jia Xu; Yi-Qing Yang
Journal:  J Am Heart Assoc       Date:  2021-11-30       Impact factor: 6.106

9.  Super Enhancers: Enhancing Human Cardiogenesis.

Authors:  Timothy J Cashman; Chinmay M Trivedi
Journal:  Circ Res       Date:  2020-10-08       Impact factor: 23.213

10.  Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation.

Authors:  Jasmeet S Reyat; Winnie Chua; Victor R Cardoso; Anika Witten; Peter M Kastner; S Nashitha Kabir; Moritz F Sinner; Robin Wesselink; Andrew P Holmes; Davor Pavlovic; Monika Stoll; Stefan Kääb; Georgios V Gkoutos; Joris R de Groot; Paulus Kirchhof; Larissa Fabritz
Journal:  JCI Insight       Date:  2020-08-20
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