دورية أكاديمية
أعرض في EDS

Evaluation of loci to predict ear morphology using two SNaPshot assays.

التفاصيل البيبلوغرافية
العنوان: Evaluation of loci to predict ear morphology using two SNaPshot assays.
المؤلفون: Noreen S; Department of Forensic Sciences, University of Health Sciences, Lahore, 54600, Pakistan.; King's Forensics, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK., Ballard D; King's Forensics, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London, UK., Mehmood T; School of Natural Sciences (SNS), National University of Sciences and Technology (NUST), Islamabad, H-12, Pakistan., Khan A; Genomics Group, Faculty of Biosciences and Aquaculture, Nord University, 8049, Bodø, Norway. arif.khan@nord.no., Khalid T; Department of Human Genetics and Molecular Biology, University of Health Sciences, Lahore, 54600, Pakistan., Rakha A; Department of Forensic Sciences, University of Health Sciences, Lahore, 54600, Pakistan.
المصدر: Forensic science, medicine, and pathology [Forensic Sci Med Pathol] 2023 Sep; Vol. 19 (3), pp. 335-356. Date of Electronic Publication: 2022 Nov 19.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Humana Press Country of Publication: United States NLM ID: 101236111 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-2891 (Electronic) Linking ISSN: 1547769X NLM ISO Abbreviation: Forensic Sci Med Pathol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Totowa, N.J. : Humana Press, c2005-
مواضيع طبية MeSH: Eye Color* , DNA*, Humans ; Genotype ; Phenotype ; DNA Primers ; Forensic Genetics/methods ; Polymorphism, Single Nucleotide
مستخلص: Human ear morphology prediction with SNP-based genotypes is growing in forensic DNA phenotyping and is scarcely explored in Pakistan as a part of EVCs (externally visible characteristics). The ear morphology prediction assays with 21 SNPs were assessed for their potential utility in forensic identification of population. The SNaPshot™ multiplex chemistries, capillary electrophoresis methods and GeneMapper™ software were used for obtaining genotypic data. A total of 33 ear phenotypes were categorized with digital photographs of 300 volunteers. SHEsis software was applied to make LD plot. Ordinal and multinomial logistic regression was implemented for association testing. Multinomial logistic regression was executed to construct the prediction model in 90% training and 10% testing subjects. Several influential SNPs for ear phenotypic variation were found in association testing. The model based on genetic markers predicted ear phenotypes with moderate to good predictive accuracies demonstrated with the area under curve (AUC), sensitivity and specificity of predicted phenotypes. As an additional EVC, the estimated ear phenotypic profiles have the possibility of determining the human ear morphology differences in unknown biological samples found in crimes that do not result in a criminal database hit. Furthermore, this can help in facial reconstruction and act as an investigational lead.
(© 2022. The Author(s).)
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معلومات مُعتمدة: IRSIP Higher Education Commission, Pakistan
فهرسة مساهمة: Keywords: EVCs; Ear morphology predictions; Forensic DNA phenotyping; Predictive DNA analysis
المشرفين على المادة: 9007-49-2 (DNA)
0 (DNA Primers)
تواريخ الأحداث: Date Created: 20221119 Date Completed: 20230926 Latest Revision: 20231027
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10518297
DOI: 10.1007/s12024-022-00545-7
PMID: 36401782
قاعدة البيانات: MEDLINE
الوصف
تدمد:1556-2891
DOI:10.1007/s12024-022-00545-7