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Research Article · Open access · Published 23 June 2021

Estimating the Genetic Polymorphisms of Gujarat Population using 17 Y Chromosomal STR loci

Aditi Mishra1, Ulhas Gondhali2 & Sumit Choudhary1

OnLine Journal of Biological Sciences, Volume 21, Issue 2, pp. 388–394 · doi.org/10.3844/ojbsci.2021.388.394

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Abstract

The present study aims to report genetic variations in unrelated male (n = 118) of the Gujarat population with the help of seventeen Y-STR markers (DYS456, DYS389I, DYS390, DYS389II, DYS458, DYS19, DYS385a/b, DYS393, DYS391, DYS439, DYS635, DYS392, Y GATA H4, DYS437, DYS438 and DYS448). Allele frequencies and forensic parameters were calculated. A total of 96 distinct alleles were reported with their corresponding allele frequency values ranging from 0.008 to 0.644. A higher value of discrimination capacity (0.9830) and haplotype diversity (0.9997) was observed in the studied population. A total of 116 haplotypes were observed among which 114 haplotypes were unique. The genetic diversity for 17 Y-STR ranged from 0.526 (DYS437) to 0.837 (DYS385b). The locus DYS385b showed the highest polymorphism (0.809). Genetic relationship and their corresponding p-value were also studied among the studied population and other Indian populations. Apart from this, the obtained results were evidenced by constructing a phylogenetic tree and were also shown using Multidimensional Scaling (MDS) plot. The higher value of haplotype diversity and discrimination capacity indicates greater potential in distinguishing male individuals from the studied population. Hence, it is assumed that generated population data are highly valuable for forensic caseworks and population genetics.

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Mishra, A., Gondhali, U. & Choudhary, S. (2021). Estimating the Genetic Polymorphisms of Gujarat Population using 17 Y Chromosomal STR loci. OnLine Journal of Biological Sciences, 21(2), 388–394. https://doi.org/10.3844/ojbsci.2021.388.394

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Estimating the Genetic Polymorphisms of Gujarat Population using 17 Y Chromosomal STR lociOnLine Journal of Biological Sciences · Volume 21, Issue 2 · pp. 388–394 · CC BY 4.0Download