PLX188922

GSE55492: Gene expression profile of calcified and normal tricuspid aortic valves by RNA sequencing.

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Purpose: Calcific aortic valve stenosis (AS) is a fatal disease with currently no medical therapy. Some genes were associated with AS, but the genetic architecture of the disease has yet to be discovered. The objective of this study was to combine genome-wide association studies (GWAS) and gene expression in human valve tissues to identify new susceptibility genes of AS.; Methods: A meta-analysis was performed combining the results of two independent GWAS in 474 patients that underwent aortic valve replacement from Quebec city and 486 echocardiography cases from France. The controls consisted of 3,151 publically available individuals of European ancestry. Sixty-nine SNPs selected from the meta-analysis (p < 1 x 10-4) were followed-up for replication in a third cohort of 395 cases and 404 controls. Single marker and gene set association analyses were performed. The mRNA expression levels of susceptibility genes were evaluated in 19 human aortic valves with (n=9) and without (n=10) AS by RNA sequencing.; Results: Single marker analysis identified 15 SNPs with p values lower than 1 x 10-6 in the meta-analysis near the FAR2 gene on chromosome 12. At the replication stage, none of these SNPs were confirmed and three other SNPs on chromosomes 2 and 5 reached p < 0.05. Gene set analysis revealed more meaningful association with the calcium signaling pathway enriched for genes mapped to disease-associated SNPs. Genes in this pathway including F2R, GNA14, HTR4, P2RX6, and TNNC1 were found differentially expressed in valves with and without AS.; Conclusions: This integrative genomic study identified new AS susceptibility genes expressed in human valve tissue. Moderate but coordinated genetic association and expression patterns were observed for genes implicated in the calcium signaling pathway and may provide new therapeutic targets to treat this frequent and rising life-threatening disease. SOURCE: Sandra Guauque-Olarte (sandra.milena.guauque@criucpq.ulaval.ca) - CRIUCPQ

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team