Browsing by Author "Divya Shrivastava"

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An evaluation of inter and intra population structure of Uttar Pradesh, inferred from 24 autosomal STRs
(Taylor and Francis Ltd., 2022) Ikramul Haque; Shivani Dixit; Akash Kumar; Akshay Kumar; Sunita Verma; Devinder Kumar; Ankit Srivastava; R.K. Kumawat; Divya Shrivastava; Gyaneshwer Chaubey; Pankaj Shrivastava
Aim: The present study was designed to explore the STR diversity and genomic history of the inhabitants of the most populous subdivision of the country. A set of 24 hypervariable autosomal STRs was used to estimate the genetic diversity within the studied population. A panel of 15 autosomal STRs, which is most common in the previously reported data sets, was used to estimate the genetic diversity between the studied population, and obtained unique relations were reported here. Method: The genetic diversity and polymorphism among 636 individuals of different ethnic groups, residing in Bareilly, Pilibhit, Shahjahanpur, Gorakhpur, Jhansi, and Varanasi regions of Uttar Pradesh, India, was investigated. This investigation was carried out via 24 autosomal STRs. Result: The 24 loci studied showed the highest value of combined power of discrimination (CPD = 1), combined power of exclusion (CPE = 0.99999999985), combined paternity index (CPI = 6.10 × 109) and lowest combined matching probability (CPM = 7.90 × 10−31). Conclusion: The studied population showed genetic closeness with the population of Uttarakhand, the Jats of Delhi,the Jat Sikh (Punjab), and the population of Rajasthan. Among the tested loci, SE33 and Penta E were found to be most useful in terms of the highest discrimination power, lowest matching probability, the highest power of exclusion, and highest polymorphism information content for the Uttar Pradesh population. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Genetic data for PowerPlex 21™ autosomal and PowerPlex 23 Y-STR™ loci from population of the state of Uttar Pradesh, India
(Springer Verlag, 2019) Ankit Srivastava; Ramkishan Kumawat; Shivani Dixit; Kamlesh Kaitholia; Divya Shrivastava; Vijay Kumar Yadav; Kriti Nigam; Harsh Sharma; Veena Ben Trivedi; Gyaneshwer Chaubey; Pankaj Shrivastava
In the present study, the statistical forensic parameters were evaluated for the loci present in PowerPlex 21 autosomal and PowerPlex 23 Y-STR multiplex systems in 168 unrelated individuals living in the state of Uttar Pradesh, India. The combined discrimination power (CPD) and combined exclusion power (CPE) was 1 and 0.999999 respectively for all 20 autosomal STR loci. Penta E showed the greatest (0.980) and CSF1PO showed the lowest (0.855) power of discrimination in the studied population. The haplotype diversity for 23 Y-STR loci was observed to be 0.999. The study also presents the first global report on polymorphism on D1S1656, D6S1043 and D12S391 autosomal STR loci in the Indian population. The resulting data revealed that these STR multiplex systems are highly polymorphic and can be used for forensic purposes. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
Peopling of Rajasthan, India: Evaluating the gene flow from east and west
(Elsevier Inc., 2021) R.K. Kumawat; Pankaj Shrivastava; Divya Shrivastava; G.K. Mathur; Hirak Ranjan Dash; Gyaneshwer Chaubey
Rajasthan is a state located in the north-western part of India and it has been cited as a major route of human migration since ancient times. The present study was conducted to find out the genetic affinity of Rajasthani population with the population living in its east as well as the west. In particular, we compared them with the population of Pakistan which shares the common geographical boundary with the Rajasthan while also having a look at their inter and intra population affinities with the population belonging to other Indian states. We investigated the genetic structure and population parameters of Rajasthani populations obtained for twenty polymorphic autosomal STR loci from 669 unrelated individuals belonging to its three population groups including Mina, Gujjar and the admixed population of Rajasthan. The studied populations showed a wide range of genetic diversity and besides the genetic structure of the studied populations, it was found that the average heterozygosity value was highest among the populations of Rajasthan, possibly, because of gene flow from different directions. Various statistical analyses suggested that the Rajasthani populations had a higher affinity with the North Indian populations rather than with the Pakistani population. © 2020
The maternal genetic history of tribal populations of Chhattisgarh, India
(Elsevier B.V., 2024) Shivani Dixit; Pankaj Shrivastava; Jaison Jeevan Sequeira; Mohammed S Mustak; Manisha Rana; Pushpesh Kushwaha; Divya Shrivastava; R.K. Kumawat; Prajjval Pratap Singh; Sachin K. Tiwary; Neeraj K. Chauhan; Gyaneshwer Chaubey
The central region of India boasts a rich tribal heritage and the highest number of tribal populations in the country. Analysing the genetic history of this population can offer valuable insights into various demographic processes that shaped the gene pool of present-day settlers of this region. In this study, we utilize a recently validated Next-generation sequencing (NGS) technique to sequence 24 tribal mitogenomes from the Chhattisgarh population for genetic ancestry and forensic analysis. The identified ancient haplogroups in this population can be traced back to the pre-Last Glacial Maximum (LGM) period. Our Bayesian analysis provides evidence for maternal ancestral expansion following the earliest Out-of-Africa migration, followed by a prolonged steady phase. We identified three basal founding haplogroups, M2, R5, and U2 in the Chhattisgarh region that diversified during the Neolithic period. Indistinct distribution pattern of these haplogroups among tribes and castes suggests that the maternal ancestry of Chhattisgarh population predates any kind of social stratification that exists today in the Indian subcontinent. Furthermore, our analysis suggests that this region remained unaffected by the Last Glacial Maximum. The forensic analysis of the mitogenomes demonstrates a high power of discrimination (0.9256) within the Chhattisgarh population, thus supporting the applicability of mitogenome NGS technology in forensic contexts. © 2024 Elsevier B.V. and Mitochondria Research Society
Validation study of 6 dye-based SF25™ PCR amplification kit
(Elsevier B.V., 2023) Pankaj Shrivastava; Shivani Dixit; R.K. Kumawat; Divya Shrivastava; Gyaneshwer Chaubey
Ever since the inception of STR-based forensic DNA analysis for human identification and DNA profiling, the approach developed continuously. Most of these developments are pertaining to achieve the set of best polymorphic loci for analysis, high inhibitor tolerance capability, and increase in sensitivity, reduction in turnaround time, and cost-effectiveness. On the similar line, the SF25™ PCR amplification kit, a 6 fluorescent dye-chemistry based autosomal STR kit was developed, which analyses 25 STR loci viz., FAM fluorescent dye-labelled D3S1358, D13S317, D7S820, D16S539, D1S1656, and Penta E; HEX fluorescent dye-labelled TPOX, TH01, D2S1338, CSF1PO, and Penta D; SUM fluorescent dye-labelled D19S433, vWA, D21S11, D18S51, and D6S1043; LYN fluorescent dye-labelled Amelogenin, D8S1179, D5S818, D12S391, and FGA; PUR fluorescent dye-labelled D22S1045, Y-indel; D2S441 and D10S1248. The developmental validation of the SF25™ PCR Amplification reagents were carried out in this study to analyze its specificity, sensitivity, and concordance. This multiplex kit showed higher sensitivity with 125 pg of DNA template generating a complete profile (with 100% allele call). Out of 316 samples, 32samples showed aberrant triallelic pattern/aberrant heterozygous pattern at D16S539 locus. The possible discrepant homozygous condition at locus D1S1656 might be due to the invasion of alleles at D1S1656 locus present adjacent to D16S539 locus. Such invasion resulted due to the shortening of the allelic bin size at the D1S1656 locus. The allelic ladder of the SF25™ PCR amplification kit reveals the allelic range of D1S1656 from 11 to 19.3 which can be interpreted according to the casework as deemed by the end-users for their samples. © 2023