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Genetic structure of Indian populations based on fifteen autosomal microsatellite loci
BACKGROUND: Indian populations endowed with unparalleled genetic complexity have received a great deal of attention from scientists world over. However, the fundamental question over their ancestry, whether they are all genetically similar or do exhibit differences attributable to ethnicity, languag...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1513393/ https://www.ncbi.nlm.nih.gov/pubmed/16707019 http://dx.doi.org/10.1186/1471-2156-7-28 |
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author | Kashyap, VK Guha, Saurav Sitalaximi, T Bindu, G Hima Hasnain, Seyed E Trivedi, R |
author_facet | Kashyap, VK Guha, Saurav Sitalaximi, T Bindu, G Hima Hasnain, Seyed E Trivedi, R |
author_sort | Kashyap, VK |
collection | PubMed |
description | BACKGROUND: Indian populations endowed with unparalleled genetic complexity have received a great deal of attention from scientists world over. However, the fundamental question over their ancestry, whether they are all genetically similar or do exhibit differences attributable to ethnicity, language, geography or socio-cultural affiliation is still unresolved. In order to decipher their underlying genetic structure, we undertook a study on 3522 individuals belonging to 54 endogamous Indian populations representing all major ethnic, linguistic and geographic groups and assessed the genetic variation using autosomal microsatellite markers. RESULTS: The distribution of the most frequent allele was uniform across populations, revealing an underlying genetic similarity. Patterns of allele distribution suggestive of ethnic or geographic propinquity were discernible only in a few of the populations and was not applicable to the entire dataset while a number of the populations exhibited distinct identities evident from the occurrence of unique alleles in them. Genetic substructuring was detected among populations originating from northeastern and southern India reflective of their migrational histories and genetic isolation respectively. CONCLUSION: Our analyses based on autosomal microsatellite markers detected no evidence of general clustering of population groups based on ethnic, linguistic, geographic or socio-cultural affiliations. The existence of substructuring in populations from northeastern and southern India has notable implications for population genetic studies and forensic databases where broad grouping of populations based on such affiliations are frequently employed. |
format | Text |
id | pubmed-1513393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-15133932006-07-21 Genetic structure of Indian populations based on fifteen autosomal microsatellite loci Kashyap, VK Guha, Saurav Sitalaximi, T Bindu, G Hima Hasnain, Seyed E Trivedi, R BMC Genet Research Article BACKGROUND: Indian populations endowed with unparalleled genetic complexity have received a great deal of attention from scientists world over. However, the fundamental question over their ancestry, whether they are all genetically similar or do exhibit differences attributable to ethnicity, language, geography or socio-cultural affiliation is still unresolved. In order to decipher their underlying genetic structure, we undertook a study on 3522 individuals belonging to 54 endogamous Indian populations representing all major ethnic, linguistic and geographic groups and assessed the genetic variation using autosomal microsatellite markers. RESULTS: The distribution of the most frequent allele was uniform across populations, revealing an underlying genetic similarity. Patterns of allele distribution suggestive of ethnic or geographic propinquity were discernible only in a few of the populations and was not applicable to the entire dataset while a number of the populations exhibited distinct identities evident from the occurrence of unique alleles in them. Genetic substructuring was detected among populations originating from northeastern and southern India reflective of their migrational histories and genetic isolation respectively. CONCLUSION: Our analyses based on autosomal microsatellite markers detected no evidence of general clustering of population groups based on ethnic, linguistic, geographic or socio-cultural affiliations. The existence of substructuring in populations from northeastern and southern India has notable implications for population genetic studies and forensic databases where broad grouping of populations based on such affiliations are frequently employed. BioMed Central 2006-05-17 /pmc/articles/PMC1513393/ /pubmed/16707019 http://dx.doi.org/10.1186/1471-2156-7-28 Text en Copyright © 2006 Kashyap et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kashyap, VK Guha, Saurav Sitalaximi, T Bindu, G Hima Hasnain, Seyed E Trivedi, R Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title | Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title_full | Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title_fullStr | Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title_full_unstemmed | Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title_short | Genetic structure of Indian populations based on fifteen autosomal microsatellite loci |
title_sort | genetic structure of indian populations based on fifteen autosomal microsatellite loci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1513393/ https://www.ncbi.nlm.nih.gov/pubmed/16707019 http://dx.doi.org/10.1186/1471-2156-7-28 |
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