Vijay V. Kakkar
Articles written in Journal of Genetics
Volume 88 Issue 1 April 2009 pp 113-118 Research Note
A common variant in chromosome 9p21 associated with coronary artery disease in Asian Indians
Arindam Maitra Debabrata Dash Shibu John Prathima R. Sannappa Anupam P. Das Jayshree Shanker Veena S. Rao H. Sridhara Vijay V. Kakkar
Volume 88 Issue 3 December 2009 pp 291-297 Research Article
Jayashree Shanker Ganapathy Perumal Arindam Maitra Veena S. Rao B. K. Natesha Shibu John Sridhar Hebbagodi Vijay V. Kakkar
Elevated factor VII (FVII) level is a risk factor for coronary artery disease (CAD). We investigated the role of R353Q polymorphism in the
Volume 89 Issue 4 December 2010 pp 437-447 Research Article
Arindam Maitra Jayashree Shanker Debabrata Dash Prathima R. Sannappa Shibu John Pratibha Siwach Veena S. Rao H. Sridhara Vijay V. Kakkar
We investigated the promoter polymorphisms of the pituitary growth hormone gene (
Volume 94 Issue 4 December 2015 pp 601-610 Research Article
Prathima Arvind Shanker Jayashree Srikarthika Jambunathan Jiny Nair Vijay V. Kakkar
Molecular mechanism underlying the patho-physiology of coronary artery disease (CAD) is complex. We used global expression profiling combined with analysis of biological network to dissect out potential genes and pathways associated with CAD in a representative case–control Asian Indian cohort. We initially performed blood transcriptomics profiling in 20 subjects, including 10 CAD patients and 10 healthy controls on the Agilent microarray platform. Data was analysed with Gene Spring Gx12.5, followed by network analysis using David v 6.7 and Reactome databases. The most significant differentially expressed genes from microarray were independently validated by real time PCR in 97 cases and 97 controls. A total of 190 gene transcripts showed significant differential expression (fold change > 2, P < 0.05) between the cases and the controls of which 142 genes were upregulated and 48 genes were downregulated. Genes associated with inflammation, immune response, cell regula- tion, proliferation and apoptotic pathways were enriched, while inflammatory and immune response genes were displayed as hubs in the network, having greater number of interactions with the neighbouring genes. Expression of 𝐸𝐺𝑅1/2/3, 𝐼𝐿8, 𝐶𝑋𝐶𝐿1, 𝑃𝑇𝐺𝑆2, 𝐶𝐷69, 𝐼𝐹𝑁𝐺, 𝐹𝐴𝑆𝐿𝐺, 𝐶𝐶𝐿4, 𝐶𝐷𝐶42, 𝐷𝐷𝑋58, 𝑁𝐹𝐾𝐵𝐼𝐷 and 𝑁𝑅4𝐴2 genes were independently validated; 𝐸𝐺𝑅1/2/3 and 𝐼𝐿8 showed >8-fold higher expression in cases relative to the controls implying their important role in CAD. In conclusion, global gene expression profiling combined with network analysis can help in identifying key genes and pathways for CAD.
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