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IGVBrowser–a genomic variation resource from diverse Indian populations
The Indian Genome Variation Consortium (IGVC) project, an initiative of the Council for Scientific and Industrial Research, has been the first large-scale comprehensive study of the Indian population. One of the major aims of the project is to study and catalog the variations in nearly thousand cand...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2942067/ https://www.ncbi.nlm.nih.gov/pubmed/20843867 http://dx.doi.org/10.1093/database/baq022 |
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author | Narang, Ankita Roy, Rishi Das Chaurasia, Amit Mukhopadhyay, Arijit Mukerji, Mitali Dash, Debasis |
author_facet | Narang, Ankita Roy, Rishi Das Chaurasia, Amit Mukhopadhyay, Arijit Mukerji, Mitali Dash, Debasis |
author_sort | Narang, Ankita |
collection | PubMed |
description | The Indian Genome Variation Consortium (IGVC) project, an initiative of the Council for Scientific and Industrial Research, has been the first large-scale comprehensive study of the Indian population. One of the major aims of the project is to study and catalog the variations in nearly thousand candidate genes related to diseases and drug response for predictive marker discovery, founder identification and also to address questions related to ethnic diversity, migrations, extent and relatedness with other world population. The Phase I of the project aimed at providing a set of reference populations that would represent the entire genetic spectrum of India in terms of language, ethnicity and geography and Phase II in providing variation data on candidate genes and genome wide neutral markers on these reference set of populations. We report here development of the IGVBrowser that provides allele and genotype frequency data generated in the IGVC project. The database harbors 4229 SNPs from more than 900 candidate genes in contrasting Indian populations. Analysis shows that most of the markers are from genic regions. Further, a large fraction of genes are implicated in cardiovascular, metabolic, cancer and immune system-related diseases. Thus, the IGVC data provide a basal level variation data in Indian population to study genetic diseases and pharmacology. Additionally, it also houses data on ∼50 000 (Affy 50 K array) genome wide neutral markers in these reference populations. In IGVBrowser one can analyze and compare genomic variations in Indian population with those reported in HapMap along with annotation information from various primary data sources. Database URL: http://igvbrowser.igib.res.in |
format | Text |
id | pubmed-2942067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29420672010-09-20 IGVBrowser–a genomic variation resource from diverse Indian populations Narang, Ankita Roy, Rishi Das Chaurasia, Amit Mukhopadhyay, Arijit Mukerji, Mitali Dash, Debasis Database (Oxford) Database Tool The Indian Genome Variation Consortium (IGVC) project, an initiative of the Council for Scientific and Industrial Research, has been the first large-scale comprehensive study of the Indian population. One of the major aims of the project is to study and catalog the variations in nearly thousand candidate genes related to diseases and drug response for predictive marker discovery, founder identification and also to address questions related to ethnic diversity, migrations, extent and relatedness with other world population. The Phase I of the project aimed at providing a set of reference populations that would represent the entire genetic spectrum of India in terms of language, ethnicity and geography and Phase II in providing variation data on candidate genes and genome wide neutral markers on these reference set of populations. We report here development of the IGVBrowser that provides allele and genotype frequency data generated in the IGVC project. The database harbors 4229 SNPs from more than 900 candidate genes in contrasting Indian populations. Analysis shows that most of the markers are from genic regions. Further, a large fraction of genes are implicated in cardiovascular, metabolic, cancer and immune system-related diseases. Thus, the IGVC data provide a basal level variation data in Indian population to study genetic diseases and pharmacology. Additionally, it also houses data on ∼50 000 (Affy 50 K array) genome wide neutral markers in these reference populations. In IGVBrowser one can analyze and compare genomic variations in Indian population with those reported in HapMap along with annotation information from various primary data sources. Database URL: http://igvbrowser.igib.res.in Oxford University Press 2010-09-14 /pmc/articles/PMC2942067/ /pubmed/20843867 http://dx.doi.org/10.1093/database/baq022 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Narang, Ankita Roy, Rishi Das Chaurasia, Amit Mukhopadhyay, Arijit Mukerji, Mitali Dash, Debasis IGVBrowser–a genomic variation resource from diverse Indian populations |
title | IGVBrowser–a genomic variation resource from diverse Indian populations |
title_full | IGVBrowser–a genomic variation resource from diverse Indian populations |
title_fullStr | IGVBrowser–a genomic variation resource from diverse Indian populations |
title_full_unstemmed | IGVBrowser–a genomic variation resource from diverse Indian populations |
title_short | IGVBrowser–a genomic variation resource from diverse Indian populations |
title_sort | igvbrowser–a genomic variation resource from diverse indian populations |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2942067/ https://www.ncbi.nlm.nih.gov/pubmed/20843867 http://dx.doi.org/10.1093/database/baq022 |
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