Dataset Information

Identification of potential candidate genes and pathways in atrioventricular nodal reentry tachycardia by whole-exome sequencing.

ABSTRACT:

Background

Atrioventricular nodal reentry tachycardia (AVNRT) is the most common manifestation of paroxysmal supraventricular tachycardia (PSVT). Increasing data have indicated familial clustering and participation of genetic factors in AVNRT, and no pathogenic genes related to AVNRT have been reported.

Methods

Whole-exome sequencing (WES) was performed in 82 patients with AVNRT and 100 controls. Reference genes, genome-wide association analysis, gene-based collapsing, and pathway enrichment analysis were performed. A protein-protein interaction (PPI) network was then established; WES database in the UK Biobank and one only genetic study of AVNRT in Denmark were used for external data validation.

Results

Among 95 reference genes, 126 rare variants in 48 genes were identified in the cases (minor allele frequency < 0.001). Gene-based collapsing analysis and pathway enrichment analysis revealed six functional pathways related to AVNRT as with neuronal system/neurotransmitter release cycles and ion channel/cardiac conduction among the top 30 enriched pathways, and then 36 candidate pathogenic genes were selected. By combining with PPI analysis, 10 candidate genes were identified, including RYR2, NOS1, SCN1A, CFTR, EPHB4, ROBO1, PRKAG2, MMP2, ASPH, and ABCC8. From the UK Biobank database, 18 genes from candidate genes including SCN1A, PRKAG2, NOS1, and CFTR had rare variants in arrhythmias, and the rare variants in PIK3CB, GAD2, and HIP1R were in patients with PSVT. Moreover, one rare variant of RYR2 (c.4652A > G, p.Asn1551Ser) in our study was also detected in the Danish study. Considering the gene functional roles and external data validation, the most likely candidate genes were SCN1A, PRKAG2, RYR2, CFTR, NOS1, PIK3CB, GAD2, and HIP1R.

Conclusion

The preliminary results first revealed potential candidate genes such as SCN1A, PRKAG2, RYR2, CFTR, NOS1, PIK3CB, GAD2, and HIP1R, and the pathways mediated by these genes, including neuronal system/neurotransmitter release cycles or ion channels/cardiac conduction, might be involved in AVNRT.

SUBMITTER: Luo R

PROVIDER: S-EPMC7240861 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Publications

Identification of potential candidate genes and pathways in atrioventricular nodal reentry tachycardia by whole-exome sequencing.

Luo Rong R Zheng Chenqing C Yang Hao H Chen Xuepin X Jiang Panpan P Wu Xiushan X Yang Zhenglin Z Shen Xia X Li Xiaoping X

Clinical and translational medicine 20200101 1

<h4>Background</h4>Atrioventricular nodal reentry tachycardia (AVNRT) is the most common manifestation of paroxysmal supraventricular tachycardia (PSVT). Increasing data have indicated familial clustering and participation of genetic factors in AVNRT, and no pathogenic genes related to AVNRT have been reported.<h4>Methods</h4>Whole-exome sequencing (WES) was performed in 82 patients with AVNRT and 100 controls. Reference genes, genome-wide association analysis, gene-based collapsing, and pathway ...[more]

PMID: 32508047

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Project description:BackgroundGenetic association studies for gastroschisis have highlighted several candidate variants. However, genetic basis in gastroschisis from noninvestigated heritable factors could provide new insights into the human biology for this birth defect. We aim to identify novel gastroschisis susceptibility variants by employing whole exome sequencing (WES) in a Mexican family with recurrence of gastroschisis.MethodsWe employed WES in two affected half-sisters with gastroschisis, mother, and father of the proband. Additionally, functional bioinformatics analysis was based on SVS-PhoRank and Ensembl-Variant Effect Predictor. The latter assessed the potentially deleterious effects (high, moderate, low, or modifier impact) from exome variants based on SIFT, PolyPhen, dbNSFP, Condel, LoFtool, MaxEntScan, and BLOSUM62 algorithms. The analysis was based on the Human Genome annotation, GRCh37/hg19. Candidate genes were prioritized and manually curated based on significant phenotypic relevance (SVS-PhoRank) and functional properties (Ensembl-Variant Effect Predictor). Functional enrichment analysis was performed using ToppGene Suite, including a manual curation of significant Gene Ontology (GO) biological processes from functional similarity analysis of candidate genes.ResultsNo single gene-disrupting variant was identified. Instead, 428 heterozygous variations were identified for which SPATA17, PDE4DIP, CFAP65, ALPP, ZNF717, OR4C3, MAP2K3, TLR8, and UBE2NL were predicted as high impact in both cases, mother, and father of the proband. PLOD1, COL6A3, FGFRL1, HHIP, SGCD, RAPGEF1, PKD1, ZFHX3, BCAS3, EVPL, CEACAM5, and KLK14 were segregated among both cases and mother. Multiple interacting background modifiers may regulate gastroschisis susceptibility. These candidate genes highlight a role for development of blood vessel, circulatory system, muscle structure, epithelium, and epidermis, regulation of cell junction assembly, biological/cell adhesion, detection/response to endogenous stimulus, regulation of cytokine biosynthetic process, response to growth factor, postreplication repair/protein K63-linked ubiquitination, protein-containing complex assembly, and regulation of transcription DNA-templated.ConclusionConsidering the likely gene-disrupting prediction results and similar biological pattern of mechanisms, we propose a joint "multifactorial model" in gastroschisis pathogenesis.

Dataset Information

Identification of potential candidate genes and pathways in atrioventricular nodal reentry tachycardia by whole-exome sequencing.

Background

Methods

Results

Conclusion

Publications

Identification of potential candidate genes and pathways in atrioventricular nodal reentry tachycardia by whole-exome sequencing.

Similar Datasets

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