Sivadas A, Sharma P, Scaria V Landscape of warfarin and clopidogrel pharmacogenetic variants in Qatari population from whole exome datasets Pharmacogenomics (2016) Accepted Sivadas A, Salleh MZ, Teh LK, Scaria V* Genetic epidemiology of pharmacogenetic variants in South East Asian Malays using whole genome sequences The Pharmacogenomics Journal (2016) Accepted Giri AK, Khan NM, Grover S, Kaur I, Basu A, Tandon N, Scaria V, Consortium IGI, INDICO*, Kukreti R, Brahmachari SK, Bharadwaj D Genetic epidemiology of pharmacogenetic variations in CYP2C9, CYP4F2 and VKORC1 genes associated with Warfarin dosage in Indian population Pharmacogenomics (2014) Accepted Hasija Y, Khan JA, Scaria V* Pharmacogenomics for Precision Medicine in the era of collaborative co-creation and crowdsourcing Current Genetic Medicine Reports (2014) Accepted Giri AK, Khan NM, Narayanan D, INDICO, Basu A, Tandon N, Scaria V*, Bharadwaj D* Pharmacogenetic landscape of Clopidogrel in North Indians suggest distinct inter-population differences in allele frequencies Pharmacogenomics (2014) Accepted Salleh MZ*, Teh LK, Lee LS, Ismet RI, Patowary A, Joshi K, Pasha A, Ahmed AZ, Janor MH, Hamzah AS, Adam I, Yusoff K, Hoh BP, Hatta FM, Ismail MI, Scaria V*, Sivasubbu S* Systematic Pharmacogenomics analysis of a Malay whole genome : Proof of concept for Personalised Medicine. PLoS ONE (2013) Aug 23;8(8):e71554. Pasha A and Scaria V Pharmacogenomics in the era of personal genomics: a quick guide to online resources and tools Omics for Personalised Medicine [Edited by Barh D, Dhawan D, and Ganguly NK] Springer 2013 Patowary A,Purkanti R, Singh M, Chauhan RK, Bhartiya D, Dwivedi OP, Chauhan G, Bharadwaj D, Sivasubbu S,Scaria V Systematic analysis and functional annotation of variations in the genome of an Indian individual Hum. Mutat., 33: 1133–1140. Kandoi G, Nanda, A, Scaria V*, Sivasubbu S* A case of pharmacogenomics in management of cardiac arrhythmias Indian Pacing and Electrophysiology J (2012) 2012;12(2):54-64 |
Publications
Pharmacogenomics for Precision Medicine in the era of collaborative co-creation and crowdsourcing
The whole gamut of new technologies in the past decade has revolutionized DNA sequencing, making it cheaper, efficient, and scalable. The consequent big-data in genomics have posed new challenges and opportunities. The transformation of internet as a fabric that intertwines multiple technological and social layers and the rise of platforms that can organize and integrate massively parallel human activities have transformed the workplaces in many industries and offers a new opportunity in the area of genomics. In this short review, we discuss the state-of-the art of crowdsourcing in genomics research with special focus on pharmacogenomics. We discuss the field, starting with an overview of technology and the major challenges. We also discuss a number of ongoing crowdsourcing approaches in the area of pharmacogenomics and personal genomics. We conclude with deliberating on the issues in genomics and how crowdsourcing could offer a plausible alternative to conventional approaches in genomics. Hasija Y, Khan JA, Scaria V* Pharmacogenomics for Precision Medicine in the era of collaborative co-creation and crowdsourcing Curr Genet Med Rep (2014) 2: 182. doi:10.1007/s40142-014-0041-y |
Pharmacogenetic landscape of Clopidogrel in North Indians suggest distinct inter-population differences in allele frequencies
Clopidogrel, a widely used antiplatelet drug, exhibits high interindividual variability; more than 80% of which could be explained by genetic polymorphisms. We built an allele frequency map of variants affecting clopidogrel response in north Indians. We mined a cross-sectional population-scale genome-wide dataset of 2128 Indo-Europeans residing in north India for presence of variants associated with pharmacogenetics of clopidogrel. Our analysis reveals significant differences in population-scale allele frequencies between Indians and the global population. Indians had a higher allele frequency for variants in the CYP2C9*2, CYP2C9*3 and P2RY1 genes whereas lower frequency for the ABCB1, CYP1A2, CYP2C19*2C, CYP3A5 and PON1 genes compared with the global population. Furthermore, from our study we proposed a model to explain the higher prevalence of clopidogrel metabolizers in north Indians. This is the largest population-scale genetic epidemiology study that provides a high-resolution map of variants associated with clopidogrel response that could be potentially valuable to clinicians to rationally plan appropriate dosage for therapy in resource poor conditions based on population level allele frequencies. Giri AK, Khan NM, Narayanan D, INDICO, Basu A, Tandon N, Scaria V*, Bharadwaj D* Pharmacogenetic landscape of Clopidogrel in North Indians suggest distinct inter-population differences in allele frequencies Pharmacogenomics (2014) 15 (5). pp. 643-653. |
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