The Indian Genome Variation initiative is a network program initiated in 2003 and tenured for 5 years, by six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from Government of India. The laboratories include Institute of Genomics and Integrative Biology (IGIB), Delhi, Centre for Cellular and Molecular Biology (CCMB), Hyderabad, Indian Institute of Chemical Biology (IICB), Kolkata, Central Drug Research Institute (CDRI), Lucknow, Industrial Toxicological Research Centre (ITRC), Lucknow and Institute of Microbial technology (IMTECH), Chandigarh. These laboratories are involved in studies related to asthma, diabetes, neuropsychiatric disorders, cancer, coronary artery disease, clot disorders, high altitude disorders, retinitis pigmentosa, predisposition to malaria as well as other infectious diseases and drug metabolism (See Participating Members and Initial Planning Groups.). Apart from the CSIR laboratories, a key participant in the project is the Indian Statistical Institute (ISI), Kolkata. The project also involves active participation of the Anthropological Survey of India  that has helped in the identification of the various Indian subpopulations. In addition to the institutional facilities, the project also has collaborations with The Centre for Genomic Application (TCGA), established through support of Department of Science and Technology (DST), CSIR with The Chatterjee Group (TCG) for high throughput sequencing and genotyping and SilicoGene Informatics Private Limited along with LabVantage, India for development of a comprehensive platform for IGV database management, analysis and portal development. See "About the Indian Genome variation Consortium project " for more information

  •     Discover informative SNPs, CNVs and repeats in over 1000 genes of biomedically important metabolic and genetic networks and also genes of pharmacogenetic relevance

  •      Build an SNP and repeat polymorphism database of the Indian population (IGVdb)

  •      Construct haplotype maps based on large multigeneration families

  •      Apply haplotype maps for disease association studies and pharmacogenetics

  •      Determine Functional consequence of informative markers


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