Literature DB >> 33255693

Evaluation of the Ion AmpliSeq™ PhenoTrivium Panel: MPS-Based Assay for Ancestry and Phenotype Predictions Challenged by Casework Samples.

Marta Diepenbroek1, Birgit Bayer1, Kristina Schwender1, Roberta Schiller1, Jessica Lim2, Robert Lagacé2, Katja Anslinger1.   

Abstract

As the field of forensic DNA analysis has started to transition from genetics to genomics, new methods to aid in crime scene investigations have arisen. The development of informative single nucleotide polymorphism (SNP) markers has led the forensic community to question if DNA can be a reliable "eye-witness" and whether the data it provides can shed light on unknown perpetrators. We have developed an assay called the Ion AmpliSeq™ PhenoTrivium Panel, which combines three groups of markers: 41 phenotype- and 163 ancestry-informative autosomal SNPs together with 120 lineage-specific Y-SNPs. Here, we report the results of testing the assay's sensitivity and the predictions obtained for known reference samples. Moreover, we present the outcome of a blind study performed on real casework samples in order to understand the value and reliability of the information that would be provided to police investigators. Furthermore, we evaluated the accuracy of admixture prediction in Converge™ Software. The results show the panel to be a robust and sensitive assay which can be used to analyze casework samples. We conclude that the combination of the obtained predictions of phenotype, biogeographical ancestry, and male lineage can serve as a potential lead in challenging police investigations such as cold cases or cases with no suspect.

Entities:  

Keywords:  HIrisPlex-S; ancestry; ancestry prediction; appearance; forensic phenotyping; massively parallel sequencing; next-generation sequencing; phenotype prediction

Mesh:

Substances:

Year:  2020        PMID: 33255693      PMCID: PMC7760956          DOI: 10.3390/genes11121398

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  77 in total

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Authors:  Fan Liu; Kate van Duijn; Johannes R Vingerling; Albert Hofman; André G Uitterlinden; A Cecile J W Janssens; Manfred Kayser
Journal:  Curr Biol       Date:  2009-03-10       Impact factor: 10.834

2.  Analysis of Uyghur and Kazakh populations using the Precision ID Ancestry Panel.

Authors:  H Simayijiang; C Børsting; T Tvedebrink; N Morling
Journal:  Forensic Sci Int Genet       Date:  2019-08-16       Impact factor: 4.882

3.  Ancestry informative SNP panels for discriminating the major East Asian populations: Han Chinese, Japanese and Korean.

Authors:  Cheng-Min Shi; Qi Liu; Shilei Zhao; Hua Chen
Journal:  Ann Hum Genet       Date:  2019-04-26       Impact factor: 1.670

4.  Forensic DNA phenotyping in criminal investigations and criminal courts: assessing and mitigating the dilemmas inherent in the science.

Authors:  Charles E MacLean; Adam Lamparello
Journal:  Recent Adv DNA Gene Seq       Date:  2014

5.  Ancestry prediction in Singapore population samples using the Illumina ForenSeq kit.

Authors:  Anantharaman Ramani; Yongxun Wong; Si Zhen Tan; Bing Hong Shue; Christopher Syn
Journal:  Forensic Sci Int Genet       Date:  2017-08-15       Impact factor: 4.882

6.  HIrisPlex-S system for eye, hair, and skin color prediction from DNA: Massively parallel sequencing solutions for two common forensically used platforms.

Authors:  Krystal Breslin; Bailey Wills; Arwin Ralf; Marina Ventayol Garcia; Magdalena Kukla-Bartoszek; Ewelina Pospiech; Ana Freire-Aradas; Catarina Xavier; Sabrina Ingold; Maria de La Puente; Kristiaan J van der Gaag; Noah Herrick; Cordula Haas; Walther Parson; Christopher Phillips; Titia Sijen; Wojciech Branicki; Susan Walsh; Manfred Kayser
Journal:  Forensic Sci Int Genet       Date:  2019-08-26       Impact factor: 4.882

7.  Prediction of biogeographical ancestry from genotype: a comparison of classifiers.

Authors:  Elaine Y Y Cheung; Michelle Elizabeth Gahan; Dennis McNevin
Journal:  Int J Legal Med       Date:  2016-12-20       Impact factor: 2.686

8.  Enhancements to the ADMIXTURE algorithm for individual ancestry estimation.

Authors:  David H Alexander; Kenneth Lange
Journal:  BMC Bioinformatics       Date:  2011-06-18       Impact factor: 3.307

9.  Human ancestry correlates with language and reveals that race is not an objective genomic classifier.

Authors:  Jennifer L Baker; Charles N Rotimi; Daniel Shriner
Journal:  Sci Rep       Date:  2017-05-08       Impact factor: 4.379

10.  Genetic ancestry, admixture and health determinants in Latin America.

Authors:  Emily T Norris; Lu Wang; Andrew B Conley; Lavanya Rishishwar; Leonardo Mariño-Ramírez; Augusto Valderrama-Aguirre; I King Jordan
Journal:  BMC Genomics       Date:  2018-12-11       Impact factor: 3.969

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  4 in total

1.  Genome-scale phylogeography resolves the native population structure of the Asian longhorned beetle, Anoplophora glabripennis (Motschulsky).

Authors:  Mingming Cui; Yunke Wu; Marion Javal; Isabelle Giguère; Géraldine Roux; Jose A Andres; Melody Keena; Juan Shi; Baode Wang; Evan Braswell; Scott E Pfister; Richard Hamelin; Amanda Roe; Ilga Porth
Journal:  Evol Appl       Date:  2022-06-07       Impact factor: 4.929

2.  Applications of massively parallel sequencing in forensic genetics.

Authors:  Thássia Mayra Telles Carratto; Vitor Matheus Soares Moraes; Tamara Soledad Frontanilla Recalde; Maria Luiza Guimarães de Oliveira; Celso Teixeira Mendes-Junior
Journal:  Genet Mol Biol       Date:  2022-09-19       Impact factor: 2.087

Review 3.  Predicting Physical Appearance from DNA Data-Towards Genomic Solutions.

Authors:  Ewelina Pośpiech; Paweł Teisseyre; Jan Mielniczuk; Wojciech Branicki
Journal:  Genes (Basel)       Date:  2022-01-10       Impact factor: 4.096

4.  Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing.

Authors:  Marta Diepenbroek; Birgit Bayer; Katja Anslinger
Journal:  Genes (Basel)       Date:  2021-08-30       Impact factor: 4.096

  4 in total

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