Genetic data of 22 autosomal STR loci in Khyber-Pakhtunkhwa, Balochistan and Gilgit Baltistan population of Pakistan using PowerPlex® fusion system.
| Title: | Genetic data of 22 autosomal STR loci in Khyber-Pakhtunkhwa, Balochistan and Gilgit Baltistan population of Pakistan using PowerPlex® fusion system. |
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| Authors: | Shafique M; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: shafique@cemb.edu.pk.; Sajid N; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: namraminhas65@gmail.com.; Aziz Y; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: abdyasir007@gmail.com.; Afzal M; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: afzal9737@gmail.com.; Shahzad M; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: shahzad.camb@pu.edu.pk.; Shehzadi A; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: abida@cemb.edu.pk.; Bashir S; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: saliha18bashir@gmail.com.; Daud S; Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta (BAUITEMS), Pakistan. Electronic address: Shakeela.daud@buitms.edu.pk.; Ali Shahid A; Forensic DNA Typing Laboratory, Centre of Excellence in Molecular Biology, University of the Punjab Lahore 53700, Pakistan. Electronic address: aali@cemb.edu.pk. |
| Source: | Legal medicine (Tokyo, Japan) [Leg Med (Tokyo)] 2022 Nov; Vol. 59, pp. 102129. Date of Electronic Publication: 2022 Aug 03. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 100889186 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4162 (Electronic) Linking ISSN: 13446223 NLM ISO Abbreviation: Leg Med (Tokyo) Subsets: MEDLINE |
| Imprint Name(s): | Publication: : East Park, Co. Clare, Ireland : Elsevier Science Ireland Ltd.; Original Publication: Tokyo : Japanese Society of Legal Medicine, c1999- |
| MeSH Terms: | Microsatellite Repeats*/genetics ; Genetics, Population*; Gene Frequency/genetics ; Humans ; Pakistan ; Phylogeny ; Genetic Loci |
| Abstract: | In this study we have provided forensic genetic data of 22 autosomal STRs for Pakhtun, Balochi and Balti population of Pakistan in total of 601 samples. Among these loci, Penta E was found the most discriminatory in all groups and allele 15 was observed most frequent at D22S1045 in Balti whereas in other two populations allele 8 was more common at TPOX. The combined power of discrimination, combined power of exclusion and the combined matching probability was calculated as 0.999999999999999999999999998385, 0.999999988089728 and 1.615 × 10-27 respectively. Based on population differentiation test, significant differences were observed when compared with other populations however, phylogenetic analysis revealed close genetic associations among Pakistani Populations.; (Copyright © 2022 Elsevier B.V. All rights reserved.) |
| Competing Interests: | Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Autosomal STRs; Balochistan; Gilgit Baltistan; Khyber-Pakhtunkhwa; PowerPlex fusion |
| Entry Date(s): | Date Created: 20220809 Date Completed: 20221025 Latest Revision: 20221025 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.legalmed.2022.102129 |
| PMID: | 35944342 |
| Database: | MEDLINE |
Journal Article