Browsing by Author "Seema Dagar"

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A genomic exploration of 15 autosomal STR loci for establishment of a DNA profile database of the population of Himachal Pradesh
(Elsevier B.V., 2020) B.K. Mohapatra; Kamal Chauhan; Pankaj Shrivastava; Shivani Dixit; R.K. Kumawat; Anchal Sharma; Seema Dagar; Gyaneshwer Chaubey
In order to create an autosomal STR loci population database for Himachal Pradesh, 259 blood samples were taken from people residing in various regions of the state and AmpFlSTR® Identifiler® Plus PCR amplification kit was used for evaluation of 15 autosomal STR markers. A total of 149 alleles were investigated in this study with a mean allele number of 9.933 per locus. The locus D2S1338 was most informative in our data, as it had the highest discrimination power (PD-0.967) and the highest polymorphic information content (PIC-0.86). The matching probability and typical paternity index for all the studied loci were observed as 2.9x10-18 and 4.7x105, respectively. Discrimination power (CPD) and exclusion power (CPE) for all the studied loci were observed as 1 and 0.999998. © 2020 Elsevier B.V.
An evaluation of molecular characterization and population structure of Uttarakhand, India
(Elsevier Inc., 2021) Manoj Agrawal; B.K. Mohapatra; Kamal Chauhan; Shivani Dixit; R.K. Kumawat; Anchal Sharma; Seema Dagar; Ankit Srivastava; Gyaneshwer Chaubey; Pankaj Shrivastava
The northern Indian state of Uttarakhand is a landmark of culture, traditional values and natural beauty. It is located on the western side of the Himalayas resulting in geographic semi-isolation, which draws attention to the genomic diversity of the population of Uttarakhand. To explore the genomic structure and forensic characterization, randomly 427 unrelated individuals from Uttarakhand were selected. A wide range of allele frequency (0.001 to 0.415) and observed heterozygosity (0.693 to 0.888) was observed, which points towards a high level of genetic mixing instead of population isolation. The allelic data of 15 autosomal STR markers were found to be under the Hardy-Weinberg Equilibrium. The population of Uttarakhand showed genetic closeness with geographically close populations, i.e., the populations of Uttar Pradesh, central India and north-western India as compared to geographically distant populations of eastern and southern India, as well as western and eastern Asian populations. The locus D2S1338 (3p21.31) was found to be the most informative marker among all the studied loci with the highest discrimination power (PD = 0.971) and polymorphic information content (PIC = 0.864), while locus TPOX (2p25.3) was found to be the least informative with the lowest discrimination power (PD = 0.862) and polymorphism information content (PIC = 0.654). The combined value of discrimination power (CPD = 1), power of exclusion (CPE = 0.999999023), paternity index (CPI = 9.40 × 105) and matching probability (CPM = 2.10 × 10−18) showed that the tested loci are very useful for personal identification, paternity testing and disaster victim identification. © 2021 Elsevier Inc.