The indian genome variation database (IGBdb) : a project overview
Indian population, comprising of more than a billion people, consists of 4693 communities with several thousands of endogamous groups, 325 functioning languages and 25 scripts. To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders...
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description | Indian population, comprising of more than a billion people, consists of 4693 communities with several thousands of endogamous groups, 325 functioning languages and 25 scripts. To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders or pharmacogenomics, one needs to understand the diversity and relatedness at the genetic level in such a diverse population. In this backdrop, six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from the Government of India, initiated a network program on predictive medicine using repeats and single nucleotide polymorphisms. The Indian Genome Variation (IGV) consortium aims to provide data on validated SNPs and repeats, both novel and reported, along with gene duplications, in over a thousand genes, in 15,000 individuals drawn from Indian subpopulations. These genes have been selected on the basis of their relevance as functional and positional candidates in many common diseases including genes relevant to pharmacogenomics. This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. This paper reveals the structure of the IGV project highlighting its various aspects like genesis, objectives, strategies for selection of genes, identification of the Indian subpopulations, collection of samples and discovery and validation of genetic markers, data analysis and monitoring as well as the project's data release policy. |
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To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders or pharmacogenomics, one needs to understand the diversity and relatedness at the genetic level in such a diverse population. In this backdrop, six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from the Government of India, initiated a network program on predictive medicine using repeats and single nucleotide polymorphisms. The Indian Genome Variation (IGV) consortium aims to provide data on validated SNPs and repeats, both novel and reported, along with gene duplications, in over a thousand genes, in 15,000 individuals drawn from Indian subpopulations. These genes have been selected on the basis of their relevance as functional and positional candidates in many common diseases including genes relevant to pharmacogenomics. This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. 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This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. 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Biological and molecular evolution</subject><subject>Genetics, Population</subject><subject>Genome, Human</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Hindus</subject><subject>Hominids</subject><subject>Human</subject><subject>Humans</subject><subject>India</subject><subject>Industrial research</subject><subject>Information management</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Morphology</subject><subject>Multiculturalism & pluralism</subject><subject>Pharmacogenetics</subject><subject>Polymorphism</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population</subject><subject>Religion</subject><subject>Single nucleotide polymorphisms</subject><issn>0340-6717</issn><issn>1432-1203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpd0c9rFDEUB_Agit1W_wAvEhRFD6MvvyfetkVroeClnsObyZuaZXamJrMr_vdm2YWCh5DLJ-99yZexVwI-CQD3uQBo5RsAUw_4xj9hK6GVbIQE9ZStQGlorBPujJ2XsgEQxkvznJ0JK5QSTq7Y-u4X8TTFhBO_p2neEt9jTrikeeIRF-ywEP9wc30Zu4_8C0f-kOcN9Quf95T3if68YM8GHAu9PN0X7Oe3r3dX35vbH9c3V-vbptfOLw31EbzzSggjkZREiR04EFFaj8ZptAqisl3NiGRj10YzmA6iFA6B1KAu2Pvj3Brg947KErap9DSOONG8K8G2rW2t9BW--Q9u5l2earYghTHSaecqentE9zhSSNMwLxn7w8Swdl5Iq7TXVYmj6vNcSqYhPOS0xfw3CAiHCsKxglArCIcKwmH969P6Xbel-Pji9OcVvDsBLD2OQ8apT-XROeVboVv1D8v1ilI</recordid><startdate>200511</startdate><enddate>200511</enddate><creator>GENOME, Indian</creator><creator>CONSORTIUM, Variation</creator><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>200511</creationdate><title>The indian genome variation database (IGBdb) : a project overview</title><author>GENOME, Indian ; CONSORTIUM, Variation</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-ecd097931152ae32a2ab0701d269a574a630d36b015ae6db8d5f5b0d217a0e3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Classical genetics, quantitative genetics, hybrids</topic><topic>Consortia</topic><topic>Databases, Genetic</topic><topic>Fundamental and applied biological sciences. 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To address the questions related to ethnic diversity, migrations, founder populations, predisposition to complex disorders or pharmacogenomics, one needs to understand the diversity and relatedness at the genetic level in such a diverse population. In this backdrop, six constituent laboratories of the Council of Scientific and Industrial Research (CSIR), with funding from the Government of India, initiated a network program on predictive medicine using repeats and single nucleotide polymorphisms. The Indian Genome Variation (IGV) consortium aims to provide data on validated SNPs and repeats, both novel and reported, along with gene duplications, in over a thousand genes, in 15,000 individuals drawn from Indian subpopulations. These genes have been selected on the basis of their relevance as functional and positional candidates in many common diseases including genes relevant to pharmacogenomics. This is the first large-scale comprehensive study of the structure of the Indian population with wide-reaching implications. A comprehensive platform for Indian Genome Variation (IGV) data management, analysis and creation of IGVdb portal has also been developed. The samples are being collected following ethical guidelines of Indian Council of Medical Research (ICMR) and Department of Biotechnology (DBT), India. This paper reveals the structure of the IGV project highlighting its various aspects like genesis, objectives, strategies for selection of genes, identification of the Indian subpopulations, collection of samples and discovery and validation of genetic markers, data analysis and monitoring as well as the project's data release policy.</abstract><cop>Heidelberg</cop><cop>Berlin</cop><cop>New York, NY</cop><pub>Springer</pub><pmid>16133172</pmid><doi>10.1007/s00439-005-0009-9</doi><tpages>11</tpages></addata></record> |
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subjects | Biological and medical sciences Classical genetics, quantitative genetics, hybrids Consortia Databases, Genetic Fundamental and applied biological sciences. Psychology Genes Genetic markers Genetics of eukaryotes. Biological and molecular evolution Genetics, Population Genome, Human Genomes Genomics Hindus Hominids Human Humans India Industrial research Information management Medical research Medicine, Experimental Morphology Multiculturalism & pluralism Pharmacogenetics Polymorphism Polymorphism, Single Nucleotide Population Religion Single nucleotide polymorphisms |
title | The indian genome variation database (IGBdb) : a project overview |
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