Atrial fibrillation variant-to-gene prioritization through cross-ancestry eQTL and single-nucleus multiomic analyses
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ABSTRACT:
PROVIDER: PRJNA998429 | ENA |
REPOSITORIES: ENA
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Project description:Atrial fibrillation (AF) is the most common arrhythmia in the world, and is linked to significant morbidity and mortality. Despite advances in the treatment and management of AF, important challenges remain for patients. Human genetics can provide strong therapeutic candidates, but the identification of the causal genes and their functions is difficult. Here, we apply an AF fine-mapping strategy that leverages results from a cross-ancestry genome-wide association study (GWAS), expression quantitative trait loci (eQTLs) from left atrial appendages (LAA) obtained from two cohorts with distinct ancestry (European and East Asian), and a paired RNAseq and ATACseq LAA single-nucleus assay (sn-multiome). We found that AF-associated LAA eQTLs are largely consistent across ancestries. At ten AF loci, our co-localization and fine-mapping analyses implicated 14 genes. Furthermore, by integrating our LAA sn-multiome data and other epigenomic datasets with our fine-mapping results, we identified four primary candidate causal AF variants, including rs7612445 at GNB4 and rs242557 at MAPT, for which we propose molecular mechanisms of AF-association at the cellular level. Finally, we showed that the repression of the strongest AF-associated eQTL gene, LINC01629, in human embryonic stem cell-derived cardiomyocytes using CRISPR inhibition results in the dysregulation of pathways linked to genes involved in the development of atrial tissue and the cardiac conduction system (e.g. HCN4, PITX2 and TBX5).
2024-07-09 | GSE238242 | GEO
Project description:Atrial fibrillation variant-to-gene prioritization through cross-ancestry eQTL and single-nucleus multiomic analyses (bulk RNA-seq)
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Project description:Atrial fibrillation (AF) is the most common arrhythmia in the world, and is linked to significant morbidity and mortality. Despite advances in the treatment and management of AF, important challenges remain for patients. Human genetics can provide strong therapeutic candidates, but the identification of the causal genes and their functions is difficult. Here, we apply an AF fine-mapping strategy that leverages results from a cross-ancestry genome-wide association study (GWAS), expression quantitative trait loci (eQTLs) from left atrial appendages (LAA) obtained from two cohorts with distinct ancestry (European and East Asian), and a paired RNAseq and ATACseq LAA single-nucleus assay (sn-multiome). We found that AF-associated LAA eQTLs are largely consistent across ancestries. At ten AF loci, our co-localization and fine-mapping analyses implicated 14 genes. Furthermore, by integrating our LAA sn-multiome data and other epigenomic datasets with our fine-mapping results, we identified four primary candidate causal AF variants, including rs7612445 at GNB4 and rs242557 at MAPT, for which we propose molecular mechanisms of AF-association at the cellular level. Finally, we showed that the repression of the strongest AF-associated eQTL gene, LINC01629, in human embryonic stem cell-derived cardiomyocytes using CRISPR inhibition results in the dysregulation of pathways linked to genes involved in the development of atrial tissue and the cardiac conduction system (e.g. HCN4, PITX2 and TBX5).
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Project description:This study will report the incidence of atrial fibrillation after elective colorectal cancer resection in the over 65 age group. This will be used to validate a risk model for the development of post-operative atrial fibrillation.
Eligible patients will undergo electrocardiogram based screening for atrial fibrillation, as well as brain natriuretic peptide tests prior to surgery. They will undergo 24 hour holter monitor prior to surgery, and at 30 and 90 days following surgery.
The primary outcome will be occurrence of atrial fibrillation within 90 days of surgery. Secondary outcomes include quality of life change, use of hospital services for atrial fibrillation, and complications of atrial fibrillation. This will be used to validate the pre-existing model for prediction of atrial fibrillation.
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Project description:Atrial fibrillation (AF), the most common sustained cardiac arrhythmia and a major risk factor for stroke, often arises through ectopic electrical impulses derived from the pulmonary veins (PV). Sequence variants in enhancers controlling expression of the transcription factor PITX2, which is expressed in the cardiomyocytes (CMs) of the PV and left atrium (LA), have been implicated in AF predisposition. Single nuclei multiomic profiling of RNA and analysis of chromatin accessibility combined with spectral clustering uncovered distinct PV- and LA-enriched CM cell states. Pitx2 mutant PV and LA CMs exhibited gene expression changes consistent with cardiac dysfunction through cell-type-distinct, PITX2-directed, cis-regulatory grammars controlling target gene expression. The perturbed network targets in each CM were enriched in distinct human AF-predisposition genes, suggesting combinatorial risk for AF-genesis. Our data further reveals that PV and LA Pitx2 mutant CMs signal to endothelial and endocardial cells through BMP10 signaling with pathogenic potential. This work provides a multiomic framework for interrogating the basis of AF-predisposition in the PV of humans.
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Project description:Electrical and structural remodeling processes are contributors to the self-perpetuating nature of atrial fibrillation (AF). However, their correlation has not been clarified. In this study, human atrial tissues from the patients with rheumatic mitral valve disease in either sinus rhythm or persistent AF were analyzed using a combined transcriptomic and proteomic approach. An up-regulation in chloride intracellular channel (CLIC) 1, 4, 5 and a rise in type IV collagen were revealed. Combined with the results from immunohistochemistry and electron microscope analysis, the distribution of type IV collagen and effects of fibrosis on myocyte membrane indicated the possible interaction between CLIC and type IV collagen, confirmed by protein structure prediction and co-immunoprecipitation. These results indicate that CLICs play an important role in the development of atrial fibrillation and that CLICs and structural type IV collagen may interact on each other to promote the development of AF in rheumatic mitral valve disease.
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Project description:Atrial fibrillation (AF) is the most common heart arrhythmia disease. The greatest risk of atrial fibrillation is stroke, and stroke caused by valvular heart disease with atrial fibrillation (AF-VHD) is more serious. the development mechanism from VHD to AF-VHD is not yet clear. The research on expression profiles of lncRNA and mRNA is helpful to explore molecular mechanism in patients with valvular heart disease who develop atrial fibrillation.
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