• Shanker Jayashree

      Articles written in Journal of Genetics

    • Genetic epidemiology of coronary artery disease: an Asian Indian perspective

      Shanker Jayashree Maitra Arindam Kakkar V. Vijay

      More Details Abstract Fulltext PDF

      Coronary artery disease (CAD) has emerged as a major cause of morbidity and mortality worldwide. Recent findings on the role of genetic factors in the aetiopathology of CAD have implicated novel genes and variants in addition to those involved in lipid and lipoprotein metabolism. However, our present knowledge is limited due to lack of clarity on their exact identity and the quantum of impact on disease susceptibility, and incident risk. It is a matter of great interest to understand the role of genetic factors in ethnic populations that have a strong underlying predisposition to CAD such as the South Asian populations, particularly among Asian Indians living in India and abroad. Although, a number of isolated studies do implicate certain gene polymorphisms towards enhanced disease susceptibility, the available data remains scanty and inconclusive as they have not been validated in large, prospective cohorts. The present review aims to consolidate the available literature on the genetics of CAD in Asian Indians and seeks to provide insights on the concerns that need to be addressed in future studies to generate information having clinical value.

    • Understanding gene expression in coronary artery disease through global profiling, network analysis and independent validation of key candidate genes

      Prathima Arvind Shanker Jayashree Srikarthika Jambunathan Jiny Nair Vijay V. Kakkar

      More Details Abstract Fulltext PDF

      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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