2015
DOI: 10.1161/circgenetics.115.001145
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Calcium Signaling Pathway Genes RUNX2 and CACNA1C Are Associated With Calcific Aortic Valve Disease

Abstract: Background Calcific aortic valve stenosis (AS) is a life-threatening disease with no medical therapy. The genetic architecture of AS remains elusive. This study combines genome-wide association studies, gene expression, and expression quantitative trait loci mapping in human valve tissues to identify susceptibility genes of AS. Methods and Results A meta-analysis was performed combining the results of 2 genome-wide association studies in 474 and 486 cases from Quebec City (Canada) and Paris (France), respect… Show more

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Cited by 54 publications
(54 citation statements)
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“…Furthermore, RUNX2 level is elevated under hyper calcium condition43, and PTHLH is regulated by CaR signaling44. PTHLH mediates multiple effects on osteoblast and osteoclast function and is responsive to circulating calcium concentration45.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, RUNX2 level is elevated under hyper calcium condition43, and PTHLH is regulated by CaR signaling44. PTHLH mediates multiple effects on osteoblast and osteoclast function and is responsive to circulating calcium concentration45.…”
Section: Discussionmentioning
confidence: 99%
“…As K IR was linked to potassium-induced changes in membrane potential of rat arteries (43), it is possible that K IR -mediated membrane depolarization leads to the elevation of intracellular calcium via voltage-gated calcium channels (VGCCs) in VSMCs. In a meta-analysis combining the results of 2 genome-wide association studies, upregulation of CACNA1C, encoding a subunit of the VGCC, was associated with patients with calcific aortic valve disease (56), suggesting a role of VGCCs in vascular calcification. Furthermore, the VGCC blocker nifedipine was found to inhibit coronary arterial calcification in patients with hypertension (57).…”
Section: Discussionmentioning
confidence: 99%
“…One type of approach, pathway analysis and related techniques, has become an essential tool for discovering key genetic components of cardiovascular diseases from large-scale GWAS data. For example, statistical techniques like gene set analysis or gene set enrichment analysis have been applied to GWAS datasets to uncover significant KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways for dilated cardiomyopathy and calcific aortic valve disease [45, 46]. Another approach, which is slightly different but nonetheless cogent, uses previously-published data of cardiovascular disease-related genes to query the SNP database.…”
Section: Discussionmentioning
confidence: 99%