Assessing the forensic efficiency of the GlobalFiler STR loci among the genetically isolated Chechen subpopulation in Jordan.

Clicks: 219
ID: 30886
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #29 of 73 articles by views in Gene

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Short tandem repeats (STRs) are a widely utilized tool in forensic applications, the latter of which range from human identification and paternity testing to population analysis. The GlobalFiler STR loci, which includes 21 autosomal STRS, were analyzed in the Chechen subpopulation of Jordan. Whole blood samples were withdrawn from 159 Jordanian Chechen individuals, and genomic DNA was extracted from each sample. The GlobalFiler™ kit PCR Amplification Kit amplified and analyzed the STR loci on the 3130xl Genetic Analyzer using GeneMapper ID-X software. The combined match probability for the 21 autosomal STR loci was calculated to be 1.06 × 10, a number that is highly discriminatory and informative. The SE33 (0.983) and TPOX (0.806) loci exhibited the highest and lowest powers of discrimination, respectively. Conclusively, the current study indicates that the GlobalFiler loci have a high utility in the Jordanian Chechen population, possibly paving the way for the future establishment of a reference population database in Jordan.
Reference Key
aleitan2019assessinggene Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Al-Eitan, Laith N;Darwish, Nizar N;Hakooz, Nancy M;Dajani, Rana B;
Journal Gene
Year 2019
DOI
S0378-1119(19)30737-1
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.