Literature DB >> 14659043

Analysis of Indian population based on Y-STRs reveals existence of male gene flow across different language groups.

Anjana Saha1, P T Udhayasuriyan, K V Bhat, Ramesh Bamezai.   

Abstract

A study of three different Y-specific microsatellites (Y-STRs) in the populations from Uttar Pradesh (UP), Bihar (BI), Punjab (PUNJ), and Bengal (WB), speaking modern indic dialects with its roots in Indo-Aryan language, and from South of India (SI), speaking the South Indian languages with their root in Dravidian language, has shown that the predominant alleles observed represent the whole range of allelic variation reported in different population groups globally. These results indicate that the Indian population is most diverse. The similarity between the allelic variants between the populations studied by others in Africa and Asia and in this study between WB, PUNJ, UP, BI, and SI are of interest. It demonstrates that these population groups, housed in eight states of the country in different geographic locations, broadly correspond with Indo-Aryan and Dravidian language families. Further, our analyses based on haplotype frequency of different marker loci and gene diversity reveals that none of the population groups have remained isolated from others. High levels of haplotype diversity exist in all the clusters of population. Nonsignificant results based on Markov chain steps and Slatkin's linearized genetic distances indicate that there has been migration to and from in these population groups. However, some of the marginally significant interpopulation differences could be attributed to one or more of the castes with high diversity embedded within the population groups studied. Haplotype sharing between populations, F(ST) statistics, and phylogenetic analysis identifies genetic relatedness to be more between individuals belonging to two different states of India, WB and PUNJ, followed by UP and BI, whereas SI branched out separately.

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Year:  2003        PMID: 14659043     DOI: 10.1089/104454903770946683

Source DB:  PubMed          Journal:  DNA Cell Biol        ISSN: 1044-5498            Impact factor:   3.311


  2 in total

1.  Genetic affinity among five different population groups in India reflecting a Y-chromosome gene flow.

Authors:  Anjana Saha; Swarkar Sharma; Audesh Bhat; Awadesh Pandit; Ramesh Bamezai
Journal:  J Hum Genet       Date:  2004-12-21       Impact factor: 3.172

2.  Ancient Human Migrations to and through Jammu Kashmir- India were not of Males Exclusively.

Authors:  Indu Sharma; Varun Sharma; Akbar Khan; Parvinder Kumar; Ekta Rai; Rameshwar N K Bamezai; Miguel Vilar; Swarkar Sharma
Journal:  Sci Rep       Date:  2018-01-16       Impact factor: 4.379

  2 in total

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