Literature DB >> 26520215

EurEAs_Gplex--A new SNaPshot assay for continental population discrimination and gender identification.

P Daca-Roszak1, A Pfeifer2, J Żebracka-Gala3, B Jarząb3, M Witt4, E Ziętkiewicz5.   

Abstract

Assays that allow analysis of the biogeographic origin of biological samples in a standard forensic laboratory have to target a small number of highly differentiating markers. Such markers should be easy to multiplex and the assay must perform well in the degraded and scarce biological material. SNPs localized in the genome regions, which in the past were subjected to differential selective pressure in various populations, are the most widely used markers in the studies of biogeographic affiliation. SNPs reflecting biogeographic differences not related to any phenotypic traits are not sufficiently explored. The goal of our study was to identify a small set of SNPs not related to any known pigmentation/phenotype-specific genes, which would allow efficient discrimination between populations of Europe and East Asia. The selection of SNPs was based on the comparative analysis of representative European and Chinese/Japanese samples (B-lymphocyte cell lines), genotyped using the Infinium HumanOmniExpressExome microarray (Illumina). The classifier, consisting of 24 unlinked SNPs (24-SNP classifier), was selected. The performance of a 14-SNP subset of this classifier (14-SNP subclassifier) was tested using genotype data from several populations. The 14-SNP subclassifier differentiated East Asians, Europeans and Africans with ∼100% accuracy; Palestinians, representative of the Middle East, clustered with Europeans, while Amerindians and Pakistani were placed between East Asian and European populations. Based on these results, we have developed a SNaPshot assay (EurEAs_Gplex) for genotyping SNPs from the 14-SNP subclassifier, combined with an additional marker for gender identification. Forensic utility of the EurEAs_Gplex was verified using degraded and low quantity DNA samples. The performance of the EurEAs_Gplex was satisfactory when using degraded DNA; tests using low quantity DNA samples revealed a previously not described source of genotyping errors, potentially important for any SNaPshot-based assays.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Allele drop-out/drop-in; Biogeographic origin; Forensic test; Low-quantity DNA template; Multiplex SNP genotyping; Population SNaPshot

Mesh:

Substances:

Year:  2015        PMID: 26520215     DOI: 10.1016/j.fsigen.2015.10.004

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  7 in total

Review 1.  Forensically relevant SNaPshot® assays for human DNA SNP analysis: a review.

Authors:  Bhavik Mehta; Runa Daniel; Chris Phillips; Dennis McNevin
Journal:  Int J Legal Med       Date:  2016-11-14       Impact factor: 2.686

Review 2.  Transcriptome variation in human populations and its potential application in forensics.

Authors:  P Daca-Roszak; E Zietkiewicz
Journal:  J Appl Genet       Date:  2019-08-10       Impact factor: 3.240

3.  Unveiling forensically relevant biogeographic, phenotype and Y-chromosome SNP variation in Pakistani ethnic groups using a customized hybridisation enrichment forensic intelligence panel.

Authors:  Sobiah Rauf; Jeremy J Austin; Denice Higgins; Muhammad Ramzan Khan
Journal:  PLoS One       Date:  2022-02-17       Impact factor: 3.240

4.  Epigenetic Signatures Discriminate Patients With Primary Sclerosing Cholangitis and Ulcerative Colitis From Patients With Ulcerative Colitis.

Authors:  Manon de Krijger; Ishtu L Hageman; Andrew Y F Li Yim; Jan Verhoeff; Juan J Garcia Vallejo; Patricia H P van Hamersveld; Evgeni Levin; Theodorus B M Hakvoort; Manon E Wildenberg; Peter Henneman; Cyriel Y Ponsioen; Wouter J de Jonge
Journal:  Front Immunol       Date:  2022-03-16       Impact factor: 7.561

5.  Transcriptomic population markers for human population discrimination.

Authors:  P Daca-Roszak; M Swierniak; R Jaksik; T Tyszkiewicz; M Oczko-Wojciechowska; J Zebracka-Gala; B Jarzab; M Witt; E Zietkiewicz
Journal:  BMC Genet       Date:  2018-08-07       Impact factor: 2.797

6.  Broadening the Applicability of a Custom Multi-Platform Panel of Microhaplotypes: Bio-Geographical Ancestry Inference and Expanded Reference Data.

Authors:  María de la Puente; Jorge Ruiz-Ramírez; Adrián Ambroa-Conde; Catarina Xavier; Jorge Amigo; María Ángeles Casares de Cal; Antonio Gómez-Tato; Ángel Carracedo; Walther Parson; Christopher Phillips; María Victoria Lareu
Journal:  Front Genet       Date:  2020-10-20       Impact factor: 4.599

7.  Discrimination between human populations using a small number of differentially methylated CpG sites: a preliminary study using lymphoblastoid cell lines and peripheral blood samples of European and Chinese origin.

Authors:  Patrycja Daca-Roszak; Roman Jaksik; Julia Paczkowska; Michał Witt; Ewa Ziętkiewicz
Journal:  BMC Genomics       Date:  2020-10-12       Impact factor: 3.969

  7 in total

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