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Editor - Yogita Ghodke | Mayo Clinic | 22135
ISSN: 2278-0238

International Journal of Research and Development in Pharmacy & Life Sciences
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Yogita Ghodke

Yogita Ghodke
Division of Rheumatology
Mayo Clinic, USA
Mayo Clinic

Biography

Broadly, my research area lies in aspects of human genetics, pharmacogenomics and translational genomics with the keen interest on applying the knowledge gained to uncover genotype-phenotype associations for developing more specific and better therapies for treating human disease. During my PhD and Post-doctoral tenures, I greatly enhanced the understanding of the complex human/disease genomics and focused on investigating the role and functional significance of genetic polymorphisms in disease causation/pathogenesis and in variable drug response in complex chronic diseases. I have received my PhD in Health Sciences (Human genetics and pharmacogenomics) in 2010 from Interdisciplinary School of Health Sciences, University of Pune, India before moving to University of Minnesota, Twin Cities, MN, USA for my Postdoctoral training. During my PhD program I had received several fellowships from Government of India. I have more than 9 years of experience in field of human genetics and has worked in broad areas of drug metabolism pharmacogenetics of anticancer, antiretroviral, antiepileptic and antirheumatic agents; epigenetic regulation of drug response in cancer patients and exploring role of mRNAs and miRNAs in transcriptional regulation in human liver. As researcher in Mayo Clinic, Rochester MN; my current research is focused on genetics of type I interferon pathway in systemic lupus erythematosus patients. I am using single cell genomics to define pathogenic cellular events related to SLE-risk loci and type I IFN signaling in a cell-type specific fashion. I am serving as a consulting editor for various journals and expert reviewer for more than 10 journals.

Research Interest

Human molecular genetics, Pharmacogenomics, next generation sequencing, Single cell genomics, high-throughput sequencing data analysis, autoimmune disease genetics, Molecular biology

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