2021
DOI: 10.1016/j.yjmcc.2021.04.003
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Functional genomics and epigenomics of atrial fibrillation

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 3 publications
(5 citation statements)
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“…Our results highlight the importance of investigating the mechanisms of CVD progression through multi‐omics datasets 180 . They also provide strong evidence that applying an integrative data analysis approach involving genomics and transcriptomics data can not only help understand the pathophysiology of CVD diseases but also reduce heterogeneity in disease subtypes 181–183 …”
Section: Discussionmentioning
confidence: 53%
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“…Our results highlight the importance of investigating the mechanisms of CVD progression through multi‐omics datasets 180 . They also provide strong evidence that applying an integrative data analysis approach involving genomics and transcriptomics data can not only help understand the pathophysiology of CVD diseases but also reduce heterogeneity in disease subtypes 181–183 …”
Section: Discussionmentioning
confidence: 53%
“…180 They also provide strong evidence that applying an integrative data analysis approach involving genomics and transcriptomics data can not only help understand the pathophysiology of CVD diseases but also reduce heterogeneity in disease subtypes. [181][182][183] We are also interested in elucidating how changes in gene expression regulation through alternative splicing contribute to CVD. Alternative splicing is a key control point in gene expression, and its misregulation often leads to malignancy.…”
Section: Discussionmentioning
confidence: 99%
“… 38 To date, via genome‐wide linkage analysis and association study, >160 chromosomal loci have been linked causally to AF, although for the vast majority of these genetic loci, the biological implications remain unclear. 21 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 Moreover, in addition to chromosomal abnormalities (duplications/deletions), pathogenic mutations in >50 genes have been implicated with AF, of which most encode ion channels, gap junction channels, transcriptional factors, sarcomere proteins, and signaling molecules. 21 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 ...…”
mentioning
confidence: 99%
“…21 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 Moreover, in addition to chromosomal abnormalities (duplications/deletions), pathogenic mutations in >50 genes have been implicated with AF, of which most encode ion channels, gap junction channels, transcriptional factors, sarcomere proteins, and signaling molecules. 21 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 Of note, loss‐of‐function mutations in TTN and MYL4 also cause AF. 42 , 63 Nevertheless, these already well‐established ge...…”
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confidence: 99%
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