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Wen Y, Liu J, Su Y, Chen X, Hou Y, Liao L, Wang Z. Forensic biogeographical ancestry inference: recent insights and current trends. Genes Genomics 2023; 45:1229-1238. [PMID: 37081293 DOI: 10.1007/s13258-023-01387-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/01/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND As a powerful complement to the paradigmatic DNA profiling strategy, biogeographical ancestry inference (BGAI) plays a significant part in human forensic investigation especially when a database hit or eyewitness testimony are not available. It indicates one's biogeographical profile based on known population-specific genetic variations, and thus is crucial for guiding authority investigations to find unknown individuals. Forensic biogeographical ancestry testing exploits much of the recent advances in the understanding of human genomic variation and improving of molecular biology. OBJECTIVE In this review, recent development of prospective ancestry informative markers (AIMs) and the statistical approaches of inferring biogeographic ancestry from AIMs are elucidated and discussed. METHODS We highlight the research progress of three potential AIMs (i.e., single nucleotide polymorphisms, microhaplotypes, and Y or mtDNA uniparental markers) and discuss the prospects and challenges of two methods that are commonly used in BGAI. CONCLUSION While BGAI for forensic purposes has been thriving in recent years, important challenges, such as ethics and responsibilities, data completeness, and ununified standards for evaluation, remain for the use of biogeographical ancestry information in human forensic investigations. To address these issues and fully realize the value of BGAI in forensic investigation, efforts should be made not only by labs/institutions around the world independently, but also by inter-lab/institution collaborations.
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Affiliation(s)
- Yufeng Wen
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
- School of Life Sciences, Jilin University, Changchun, 130012, China
| | - Jing Liu
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yonglin Su
- Department of Rehabilitation Medicine, West China Hospital Sichuan University, Chengdu, 610041, China
| | - Xiacan Chen
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Yiping Hou
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Linchuan Liao
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
| | - Zheng Wang
- Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education, Beijing, 100088, China.
- Institute of Forensic Medicine, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China.
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2
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Kayser M, Branicki W, Parson W, Phillips C. Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age. Forensic Sci Int Genet 2023; 65:102870. [PMID: 37084623 DOI: 10.1016/j.fsigen.2023.102870] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/04/2023] [Indexed: 04/09/2023]
Abstract
Forensic DNA Phenotyping (FDP) comprises the prediction of a person's externally visible characteristics regarding appearance, biogeographic ancestry and age from DNA of crime scene samples, to provide investigative leads to help find unknown perpetrators that cannot be identified with forensic STR-profiling. In recent years, FDP has advanced considerably in all of its three components, which we summarize in this review article. Appearance prediction from DNA has broadened beyond eye, hair and skin color to additionally comprise other traits such as eyebrow color, freckles, hair structure, hair loss in men, and tall stature. Biogeographic ancestry inference from DNA has progressed from continental ancestry to sub-continental ancestry detection and the resolving of co-ancestry patterns in genetically admixed individuals. Age estimation from DNA has widened beyond blood to more somatic tissues such as saliva and bones as well as new markers and tools for semen. Technological progress has allowed forensically suitable DNA technology with largely increased multiplex capacity for the simultaneous analysis of hundreds of DNA predictors with targeted massively parallel sequencing (MPS). Forensically validated MPS-based FDP tools for predicting from crime scene DNA i) several appearance traits, ii) multi-regional ancestry, iii) several appearance traits together with multi-regional ancestry, and iv) age from different tissue types, are already available. Despite recent advances that will likely increase the impact of FDP in criminal casework in the near future, moving reliable appearance, ancestry and age prediction from crime scene DNA to the level of detail and accuracy police investigators may desire, requires further intensified scientific research together with technical developments and forensic validations as well as the necessary funding.
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Affiliation(s)
- Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
| | - Wojciech Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, Kraków, Poland,; Institute of Forensic Research, Kraków, Poland
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, PA, USA
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
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3
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Ruiz-Ramírez J, de la Puente M, Xavier C, Ambroa-Conde A, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Ralf A, Amory C, Katsara MA, Khellaf T, Nothnagel M, Cheung EYY, Gross TE, Schneider PM, Uacyisrael J, Oliveira S, Klautau-Guimarães MDN, Carvalho-Gontijo C, Pośpiech E, Branicki W, Parson W, Kayser M, Carracedo A, Lareu MV, Phillips C. Development and evaluations of the ancestry informative markers of the VISAGE Enhanced Tool for Appearance and Ancestry. Forensic Sci Int Genet 2023; 64:102853. [PMID: 36917866 DOI: 10.1016/j.fsigen.2023.102853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 02/15/2023] [Accepted: 03/02/2023] [Indexed: 03/07/2023]
Abstract
The VISAGE Enhanced Tool for Appearance and Ancestry (ET) has been designed to combine markers for the prediction of bio-geographical ancestry plus a range of externally visible characteristics into a single massively parallel sequencing (MPS) assay. We describe the development of the ancestry panel markers used in ET, and the enhanced analyses they provide compared to previous MPS-based forensic ancestry assays. As well as established autosomal single nucleotide polymorphisms (SNPs) that differentiate sub-Saharan African, European, East Asian, South Asian, Native American, and Oceanian populations, ET includes autosomal SNPs able to efficiently differentiate populations from Middle East regions. The ability of the ET autosomal ancestry SNPs to distinguish Middle East populations from other continentally defined population groups is such that characteristic patterns for this region can be discerned in genetic cluster analysis using STRUCTURE. Joint cluster membership estimates showing individual co-ancestry that signals North African or East African origins were detected, or cluster patterns were seen that indicate origins from central and Eastern regions of the Middle East. In addition to an augmented panel of autosomal SNPs, ET includes panels of 85 Y-SNPs, 16 X-SNPs and 21 autosomal Microhaplotypes. The Y- and X-SNPs provide a distinct method for obtaining extra detail about co-ancestry patterns identified in males with admixed backgrounds. This study used the 1000 Genomes admixed African and admixed American sample sets to fully explore these enhancements to the analysis of individual co-ancestry. Samples from urban and rural Brazil with contrasting distributions of African, European, and Native American co-ancestry were also studied to gauge the efficiency of combining Y- and X-SNP data for this purpose. The small panel of Microhaplotypes incorporated in ET were selected because they showed the highest levels of haplotype diversity amongst the seven population groups we sought to differentiate. Microhaplotype data was not formally combined with single-site SNP genotypes to analyse ancestry. However, the haplotype sequence reads obtained with ET from these loci creates an effective system for de-convoluting two-contributor mixed DNA. We made simple mixture experiments to demonstrate that when the contributors have different ancestries and the mixture ratios are imbalanced (i.e., not 1:1 mixtures) the ET Microhaplotype panel is an informative system to infer ancestry when this differs between the contributors.
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Affiliation(s)
- J Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
| | - C Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - J Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - A Ralf
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - C Amory
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - M A Katsara
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - T Khellaf
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany
| | - M Nothnagel
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany; University Hospital Cologne, 50937 Cologne, Germany
| | - E Y Y Cheung
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - T E Gross
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - P M Schneider
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany
| | - J Uacyisrael
- Fiji Police Forensic Biology and DNA Laboratory, Nasova, Suva, Fiji
| | - S Oliveira
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | | | - C Carvalho-Gontijo
- Departamento Genética e Morfologia, Universidade de Brasília, Brasília, DF, Brazil
| | - E Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland
| | - W Branicki
- Institute of Zoology and Biomedical Research, Jagiellonian University, 30-387 Kraków, Poland
| | - W Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
| | - M Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, the Netherlands
| | - A Carracedo
- Fundación Pública Galega de Medicina Xenómica (FPGMX), Instituto de Investigación Sanitaria (IDIS),15706 Santiago de Compostela, Spain; Genomics Group, CIBERER, CIMUS, University of Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.
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Hołub K, Malyarchuk BA, Derenko MV, Kovačević-Grujičić N, Stevanović M, Drakulić D, Davidović TG, Grzybowski T. Verification of insertion-deletion markers (InDels) and microsatellites (STRs) as subsidiary tools for inferring Slavic population ancestry. ARCHIVES OF FORENSIC MEDICINE AND CRIMINOLOGY 2023. [DOI: 10.4467/16891716amsik.22.015.17393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023] Open
Abstract
Genetic markers for the prediction of biogeographical ancestry have proved to be effective tools for law enforcement agencies for many years now. In this study, we attempted to assess the potential of insertion-deletion markers (InDel) and microsatellites (STRs) as subsidiary polymorphisms for inference of Slavic population ancestry. For that purpose, we genotyped Slavic-speaking populations samples from Belarus, the Czech Republic, Poland, Serbia, Ukraine and Russia in 46 InDels and 15 STRs by PCR and capillary electrophoresis and analyzed for between-population differentiation with the use of distance-based methods (FST, principal component analysis and multidimensional scaling). Additionally, we studied a sample from a Polish individual of well-documented genealogy whose biogeographic ancestry had previously been inferred by commercial genomic services using autosomal single nucleotide polymorphisms (SNPs), mitochondrial DNA and Y-SNP markers. For comparative purposes, we used genotype data collected in the “forInDel” browser and allele frequencies from previously published papers. The results obtained for InDels and STRs show that the Slavic populations constitute a genetically homogeneous group, with the exception of the Czechs differing clearly from the other tested populations. The analysis of the known Polish sample in the Snipper application proves the usefulness of the InDel markers on the continental level only. Conversely, microsatellites not only improve prediction, but are also informative if considered as an independent set of ancestry markers.
Weryfikacja markerów insercyjno-delecyjnych (InDels) i mikrosatelitarnych (STR) jako narzędzi pomocniczych do wnioskowania o pochodzeniu populacji słowiańskiej
Markery genetyczne do przewidywania pochodzenia biogeograficznego od wielu lat okazują się skutecznymi narzędziami dla organów ścigania. W tym badaniu podjęliśmy próbę oceny potencjału markerów insercyjno-delecyjnych (InDel) i mikrosatelitarnych (STR) jako pomocniczych polimorfizmów do wnioskowania o pochodzeniu populacji słowiańskiej. W tym celu genotypowaliśmy próbki populacji słowiańskojęzycznych z Białorusi, Czech, Polski, Serbii, Ukrainy i Rosji w w zakresie 46 markerów InDel oraz 15 loci STR za pomocą PCR i elektroforezy kapilarnej oraz analizowaliśmy pod kątem różnicowania między populacjami za pomocą metod bazujących na dystansach genetycznych (FST, analiza głównych składowych i skalowanie wielowymiarowe). Dodatkowo zbadaliśmy próbkę mężczyzny z populacji polskiej o dobrze udokumentowanej genealogii, którego pochodzenie biogeograficzne zostało wcześniej ustalone przez komercyjne usługi genomiczne przy użyciu autosomalnych polimorfizmów pojedynczych nukleotydów (SNP), mitochondrialnego DNA i markerów Y-SNP. Do celów porównawczych wykorzystaliśmy dane genotypowe zebrane w przeglądarce „forInDel” i częstości alleli z wcześniej opublikowanych artykułów. Uzyskane wyniki dla InDels i STR wskazują, że populacje słowiańskie stanowią grupę genetycznie jednorodną, z wyjątkiem Czechów wyraźnie różniących się od pozostałych badanych populacji. Analiza znanej polskiej próbki w aplikacji Snipper dowodzi przydatności markerów InDel jedynie na poziomie kontynentalnym. Z kolei, mikrosatelity nie tylko poprawiają wyniki predykcji, ale są informatywne jako niezależny zestaw markerów pochodzenia biogeograficznego.
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Affiliation(s)
- Karolina Hołub
- Department of Forensic Medicine, The Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland
| | - Boris A. Malyarchuk
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia
| | - Miroslava V. Derenko
- Institute of Biological Problems of the North, Far-East Branch of the Russian Academy of Sciences, Magadan, Russia
| | | | - Milena Stevanović
- Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia; Serbian Academy of Sciences and Arts, Belgrade, Serbia; Faculty of Biology, University of Belgrade, Belgrade, Serbia
| | | | - Tomasz Grzybowski Davidović
- Institute for Biological Research “Siniša Stanković”, National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Tomasz Grzybowski
- Department of Forensic Medicine, Division of Molecular & Forensic Genetics, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Poland
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Resutik P, Aeschbacher S, Krützen M, Kratzer A, Haas C, Phillips C, Arora N. Comparative evaluation of the MAPlex, Precision ID Ancestry Panel, and VISAGE Basic Tool for biogeographical ancestry inference. Forensic Sci Int Genet 2023; 64:102850. [PMID: 36924679 DOI: 10.1016/j.fsigen.2023.102850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/21/2023] [Accepted: 02/23/2023] [Indexed: 02/27/2023]
Abstract
Biogeographical ancestry (BGA) inference from ancestry-informative markers (AIMs) has strong potential to support forensic investigations. Over the past two decades, several forensic panels composed of AIMs have been developed to predict ancestry at a continental scale. These panels typically comprise fewer than 200 AIMs and have been designed and tested with a limited set of populations. How well these panels recover patterns of genetic diversity relative to larger sets of markers, and how accurately they infer ancestry of individuals and populations not included in their design remains poorly understood. The lack of comparative studies addressing these aspects makes the selection of appropriate panels for forensic laboratories difficult. In this study, the model-based genetic clustering tool STRUCTURE was used to compare three popular forensic BGA panels: MAPlex, Precision ID Ancestry Panel (PIDAP), and VISAGE Basic Tool (VISAGE BT) relative to a genome-wide reference set of 10k SNPs. The genotypes for all these markers were obtained for a comprehensive set of 3957 individuals from 228 worldwide human populations. Our results indicate that at the broad continental scale (K=6) typically examined in forensic studies, all forensic panels produced similar genetic structure patterns compared to the reference set (G'≈90%) and had high classification performance across all regions (average AUC-PR > 97%). However, at K= 7 and K= 8, the forensic panels displayed some region-specific clustering deviations from the reference set, particularly in Europe and the region of East and South-East Asia, which may be attributed to differences in the design of the respective panels. Overall, the panel with the most consistent performance in all regions was VISAGE BT with an average weighted AUC̅W score of 96.26% across the three scales of geographical resolution investigated.
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Affiliation(s)
- Peter Resutik
- Zurich Institute of Forensic Medicine, University of Zurich, Switzerland.
| | - Simon Aeschbacher
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland
| | - Michael Krützen
- Department of Evolutionary Anthropology, University of Zurich, Switzerland
| | - Adelgunde Kratzer
- Zurich Institute of Forensic Medicine, University of Zurich, Switzerland
| | - Cordula Haas
- Zurich Institute of Forensic Medicine, University of Zurich, Switzerland
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - Natasha Arora
- Zurich Institute of Forensic Medicine, University of Zurich, Switzerland.
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Nakanishi H, Pereira V, Børsting C, Tvedebrink T, Takada A, Saito K. Development of an Okinawa panel for biogeographic inference of Okinawans. Ann Hum Biol 2023; 50:436-441. [PMID: 37812250 DOI: 10.1080/03014460.2023.2257594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/31/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND The Precision ID Ancestry Panel with 165 SNP markers was unable to differentiate between mainland Japanese and Okinawa Japanese or to distinguish either of them from other East Asian populations. AIM An Okinawa panel was developed with the aim of further separating Okinawa Japanese individuals from mainland Japanese and other Asian groups. Seventy-five SNPs were selected using the most informative markers from the literature. Further, 22 SNPs were selected to separate Okinawa Japanese at minimum SNPs. SUBJECTS AND METHODS Samples were collected from 48 unrelated individuals from mainland Japan and 46 unrelated residents of the Okinawa prefecture. Data were evaluated by STRUCTURE, principal component, and GenoGeographer analyses. RESULTS The 22 SNP set had similar levels of differentiation in STRUCTURE and PCA analyses as the 75 SNP set. GenoGeographer analysis showed that, out of the 46 Okinawa Japanese individuals, the 75 SNP and 22 SNP sets correctly assigned the Okinawan population as the most likely population of origin for 32 and 31 individuals, respectively. CONCLUSION Neither SNP set could completely differentiate between Okinawa Japanese and other Asian groups, however, these sets should be useful for crime investigation, when the sample, cost and time are limited.
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Affiliation(s)
- Hiroaki Nakanishi
- Department of Forensic Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
| | - Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Tvedebrink
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Aya Takada
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
| | - Kazuyuki Saito
- Department of Forensic Medicine, Juntendo University School of Medicine, Tokyo, Japan
- Department of Forensic Medicine, Saitama Medical University, Saitama, Japan
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7
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Pilli E, Morelli S, Poggiali B, Alladio E. Biogeographical ancestry, variable selection, and PLS-DA method: a new panel to assess ancestry in forensic samples via MPS technology. Forensic Sci Int Genet 2023; 62:102806. [PMID: 36399972 DOI: 10.1016/j.fsigen.2022.102806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/14/2022]
Abstract
As evidenced by the large number of articles recently published in the literature, forensic scientists are making great efforts to infer externally visible features and biogeographical ancestry (BGA) from DNA analysis. Just as phenotypic, ancestry information obtained from DNA can provide investigative leads to identify the victims (missing/unidentified persons, crime/armed conflict/mass disaster victims) or trace their perpetrators when no matches were found with the reference profile or in the database. Recently, the advent of Massively Parallel Sequencing technologies associated with the possibility of harnessing high-throughput genetic data allowed us to investigate the associations between phenotypic and genomic variations in worldwide human populations and develop new BGA forensic tools capable of simultaneously analyzing up to millions of markers if for example the ancient DNA approach of hybridization capture was adopted to target SNPs of interest. In the present study, a selection of more than 3000 SNPs was performed to create a new BGA panel and the accuracy of the new panel to infer ancestry from unknown samples was evaluated by the PLS-DA method. Subsequently, the panel created was assessed using three variable selection techniques (Backward variable elimination, Genetic Algorithm and Regularized elimination procedure), and the best SNPs in terms of inferring bio-geographical ancestry at inter- and intra-continental level were selected to obtain panels to predict BGA with a reduced number of selected markers to be applied in routine forensic cases where PCR amplification is the best choice to target SNPs.
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Affiliation(s)
- Elena Pilli
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
| | - Stefania Morelli
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
| | - Brando Poggiali
- Department of Biology, Forensic Molecular Anthropology Laboratory, University of Florence, Florence, Italy
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Barbarić L, Horjan-Zanki I. Challenges in the recovery of the genetic data from human remains found on the Western Balkan migration route. Int J Legal Med 2023; 137:181-193. [PMID: 35449468 DOI: 10.1007/s00414-022-02829-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/13/2022] [Indexed: 01/11/2023]
Abstract
Traditional DNA-based identification of human remains relies on the system of matching STR profile of the deceased with the family references or antemortem samples. In forensic cases without any available samples for the comparison, the body remains unidentified. The aim of this study was to assess the applicability of massively parallel sequencing (MPS) approach in the forensic cases of five drowned individuals recovered on the Western Balkan migration route. Besides capillary electrophoresis (CE)-based genetic profiling (aSTR, Y STR, and mitochondrial control region sequencing) of postmortem samples, we applied ForenSeq DNA Signature Prep Kit/Primer Mix B on MiSeqFGx platform and concomitant ForenSeq Universal Analysis (UAS) software. The assay showed high reproducibility and complete concordance with CE-based data except in locus DYF387S1. Allele and locus drop was evident in 2.9% of total SNPs that slightly reduced the completeness of the data. We endeavored to predict the phenotype of the tested samples and accurate biogeographical ancestry of European individual. UAS was less informative for the remaining samples assigned to Admixed American cluster. Nevertheless, the application of FROG-kb and Snipper tools along with admixture analysis in STRUCTURE and lineage markers revealed likely Middle Eastern and North African ancestry. We conclude that the combination of the phenotype and biogeographical ancestry predictions, including paternal and maternal genetic ancestry, represent a promising tool for humanitarian identification of dead migrants. Nevertheless, the data interpretation remains a challenging task.
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Affiliation(s)
- Lucija Barbarić
- Forensic Science Centre "Ivan Vučetić, " Ministry of the Interior, Ilica 335, 10000, Zagreb, Croatia.
| | - Ivana Horjan-Zanki
- Forensic Science Centre "Ivan Vučetić, " Ministry of the Interior, Ilica 335, 10000, Zagreb, Croatia
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9
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Xavier C, de la Puente M, Mosquera-Miguel A, Freire-Aradas A, Kalamara V, Ralf A, Revoir A, Gross T, Schneider P, Ames C, Hohoff C, Phillips C, Kayser M, Parson W. Development and inter-laboratory evaluation of the VISAGE Enhanced Tool for Appearance and Ancestry inference from DNA. Forensic Sci Int Genet 2022; 61:102779. [DOI: 10.1016/j.fsigen.2022.102779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/14/2022] [Accepted: 09/18/2022] [Indexed: 11/30/2022]
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10
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Gorin I, Balanovsky O, Kozlov O, Koshel S, Kostryukova E, Zhabagin M, Agdzhoyan A, Pylev V, Balanovska E. Determining the Area of Ancestral Origin for Individuals From North Eurasia Based on 5,229 SNP Markers. Front Genet 2022; 13:902309. [PMID: 35651934 PMCID: PMC9149316 DOI: 10.3389/fgene.2022.902309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 04/26/2022] [Indexed: 11/26/2022] Open
Abstract
Currently available genetic tools effectively distinguish between different continental origins. However, North Eurasia, which constitutes one-third of the world’s largest continent, remains severely underrepresented. The dataset used in this study represents 266 populations from 12 North Eurasian countries, including most of the ethnic diversity across Russia’s vast territory. A total of 1,883 samples were genotyped using the Illumina Infinium Omni5Exome-4 v1.3 BeadChip. Three principal components were computed for the entire dataset using three iterations for outlier removal. It allowed the merging of 266 populations into larger groups while maintaining intragroup homogeneity, so 29 ethnic geographic groups were formed that were genetically distinguishable enough to trace individual ancestry. Several feature selection methods, including the random forest algorithm, were tested to estimate the number of genetic markers needed to differentiate between the groups; 5,229 ancestry-informative SNPs were selected. We tested various classifiers supporting multiple classes and output values for each class that could be interpreted as probabilities. The logistic regression was chosen as the best mathematical model for predicting ancestral populations. The machine learning algorithm for inferring an ancestral ethnic geographic group was implemented in the original software “Homeland” fitted with the interface module, the prediction module, and the cartographic module. Examples of geographic maps showing the likelihood of geographic ancestry for individuals from different regions of North Eurasia are provided. Validating methods show that the highest number of ethnic geographic group predictions with almost absolute accuracy and sensitivity was observed for South and Central Siberia, Far East, and Kamchatka. The total accuracy of prediction of one of 29 ethnic geographic groups reached 71%. The proposed method can be employed to predict ancestries from the populations of Russia and its neighbor states. It can be used for the needs of forensic science and genetic genealogy.
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Affiliation(s)
- Igor Gorin
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Moscow Institute of Physics and Technology, Dolgoprudny, Russia.,Research Centre for Medical Genetics, Moscow, Russia
| | - Oleg Balanovsky
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Oleg Kozlov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Sergey Koshel
- Research Centre for Medical Genetics, Moscow, Russia.,Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
| | - Elena Kostryukova
- Federal Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia
| | - Maxat Zhabagin
- National Center for Biotechnology, Nur-Sultan, Kazakhstan
| | - Anastasiya Agdzhoyan
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Research Centre for Medical Genetics, Moscow, Russia
| | - Vladimir Pylev
- Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
| | - Elena Balanovska
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Research Centre for Medical Genetics, Moscow, Russia.,Biobank of North Eurasia, Moscow, Russia
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11
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Nakanishi G, Bertagnolli LS, Pita-Oliveira M, Scudeler MM, Torres-Loureiro S, Almeida-Dantas T, Alves MLC, Cirino HS, Rodrigues-Soares F. GSTM1 and GSTT1 polymorphisms in healthy volunteers - a worldwide systematic review. Drug Metab Rev 2022; 54:37-45. [PMID: 35103568 DOI: 10.1080/03602532.2022.2036996] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/29/2022] [Indexed: 02/06/2023]
Abstract
The GSTM1 and GSTT1 genes encode homonymous enzymes, which are responsible for the detoxification of several substances potentially harmful to the human body, such as air pollution, drugs, pesticides, and tobacco. However, some individuals may present a complete deletion of these genes and, consequently, an enzyme deficiency leading to an inadequate metabolism and, therefore, a higher susceptibility to some clinical conditions. Interethnic variations have also been described for both genes, making necessary the study of the deletion frequencies of GSTM1 and GSTT1 in different populations around the world. So, the aim of this study was to enable the synthesis and discussion of the main population differences of GSTM1 and GSTT1 polymorphisms in healthy volunteers. Searches were performed in the PubMed database, including 533 articles and 178,566 individuals in the analyses. We found an overrepresentation of European individuals and studies, and an underrepresentation of non-European ethnicities. Moreover, there are significant frequency differences among distinct ethnic groups: East Asians present the highest frequencies worldwide for GSTM1 and GSTT1 deletions, which could suggest higher disorders risk for this population; in contrast, Sub-Saharan Africans presented the lowest frequency of GSTM1 worldwide, corroborating evolution inferences performed previously for other genes codifying metabolism enzymes. Also, admixture is a relevant component when analyzing frequency values for both genes, but further studies focusing on this subject are warranted.
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Affiliation(s)
- Giovana Nakanishi
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Laísa S Bertagnolli
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Murilo Pita-Oliveira
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Mariana M Scudeler
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Sabrina Torres-Loureiro
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Thaís Almeida-Dantas
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Maria Laura C Alves
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Heithor S Cirino
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
| | - Fernanda Rodrigues-Soares
- Departamento de Patologia, Genética e Evolução, Instituto de Ciências Biológicas e Naturais, Universidade Federal do Triângulo Mineiro, Uberaba, Brazil
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12
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Evaluation of the VISAGE basic tool for appearance and ancestry inference using ForenSeq® chemistry on the MiSeq FGx® system. Forensic Sci Int Genet 2022; 58:102675. [DOI: 10.1016/j.fsigen.2022.102675] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/13/2022] [Accepted: 02/01/2022] [Indexed: 11/04/2022]
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13
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Truelsen D, Freire-Aradas A, Nazari M, Aliferi A, Ballard D, Phillips C, Morling N, Pereira V, Børsting C. Evaluation of a custom QIAseq targeted DNA panel with 164 ancestry informative markers sequenced with the Illumina MiSeq. Sci Rep 2021; 11:21040. [PMID: 34702940 PMCID: PMC8548529 DOI: 10.1038/s41598-021-99933-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 09/29/2021] [Indexed: 11/08/2022] Open
Abstract
Introduction of new methods requires meticulous evaluation before they can be applied to forensic genetic case work. Here, a custom QIAseq Targeted DNA panel with 164 ancestry informative markers was assessed using the MiSeq sequencing platform. Concordance, sensitivity, and the capability for analysis of mixtures were tested. The assay gave reproducible and nearly concordant results with an input of 10 and 2 ng DNA. Lower DNA input led to an increase in both locus and allele drop-outs, and a higher variation in heterozygote balance. Locus or allele drop-outs in the samples with less than 2 ng DNA input were not necessarily associated with the overall performance of a locus. Thus, the QIAseq assay will be difficult to implement in a forensic genetic setting where the sample material is often scarce and of poor quality. With equal or near equal mixture ratios, the mixture DNA profiles were easily identified by an increased number of imbalanced heterozygotes. For more skewed mixture ratios, the mixture DNA profiles were identified by an increased noise level. Lastly, individuals from Great Britain and the Middle East were investigated. The Middle Eastern individuals showed a greater affinity with South European populations compared to North European populations.
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Affiliation(s)
- D Truelsen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark.
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - M Nazari
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - A Aliferi
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - D Ballard
- Faculty of Life Sciences and Medicine, King's College, London, UK
| | - C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - N Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Mathematical Sciences, Aalborg University, 9220, Aalborg, Denmark
| | - V Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - C Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
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14
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Truelsen D, Tvedebrink T, Mogensen HS, Farzad MS, Shan MA, Morling N, Pereira V, Børsting C. Assessment of the effectiveness of the EUROFORGEN NAME and Precision ID Ancestry panel markers for ancestry investigations. Sci Rep 2021; 11:18595. [PMID: 34545122 PMCID: PMC8452675 DOI: 10.1038/s41598-021-97654-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/11/2021] [Indexed: 11/08/2022] Open
Abstract
The EUROFORGEN NAME panel is a regional ancestry panel designed to differentiate individuals from the Middle East, North Africa, and Europe. The first version of the panel was developed for the MassARRAY system and included 111 SNPs. Here, a custom AmpliSeq EUROFORGEN NAME panel with 102 of the original 111 loci was used to sequence 1098 individuals from 14 populations from Europe, the Middle East, North Africa, North-East Africa, and South-Central Asia. These samples were also sequenced with a global ancestry panel, the Precision ID Ancestry Panel. The GenoGeographer software was used to assign the AIM profiles to reference populations and calculate the weight of the evidence as likelihood ratios. The combination of the EUROFORGEN NAME and Precision ID Ancestry panels led to fewer ambiguous assignments, especially for individuals from the Middle East and South-Central Asia. The likelihood ratios showed that North African individuals could be separated from European and Middle Eastern individuals using the Precision ID Ancestry Panel. The separation improved with the addition of the EUROFORGEN NAME panel. The analyses also showed that the separation of Middle Eastern populations from European and South-Central Asian populations was challenging even when both panels were applied.
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Affiliation(s)
- D Truelsen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark.
| | - T Tvedebrink
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Mathematical Sciences, Aalborg University, 9220, Aalborg, Denmark
| | - H S Mogensen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - M S Farzad
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - M A Shan
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - N Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Mathematical Sciences, Aalborg University, 9220, Aalborg, Denmark
| | - V Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
| | - C Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
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15
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de la Puente M, Ruiz-Ramírez J, Ambroa-Conde A, Xavier C, Pardo-Seco J, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Gross TE, Cheung EYY, Branicki W, Nothnagel M, Parson W, Schneider PM, Kayser M, Carracedo Á, Lareu MV, Phillips C. Development and Evaluation of the Ancestry Informative Marker Panel of the VISAGE Basic Tool. Genes (Basel) 2021; 12:1284. [PMID: 34440458 PMCID: PMC8391248 DOI: 10.3390/genes12081284] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/18/2021] [Accepted: 08/18/2021] [Indexed: 11/29/2022] Open
Abstract
We detail the development of the ancestry informative single nucleotide polymorphisms (SNPs) panel forming part of the VISAGE Basic Tool (BT), which combines 41 appearance predictive SNPs and 112 ancestry predictive SNPs (three SNPs shared between sets) in one massively parallel sequencing (MPS) multiplex, whereas blood-based age analysis using methylation markers is run in a parallel MPS analysis pipeline. The selection of SNPs for the BT ancestry panel focused on established forensic markers that already have a proven track record of good sequencing performance in MPS, and the overall SNP multiplex scale closely matched that of existing forensic MPS assays. SNPs were chosen to differentiate individuals from the five main continental population groups of Africa, Europe, East Asia, America, and Oceania, extended to include differentiation of individuals from South Asia. From analysis of 1000 Genomes and HGDP-CEPH samples from these six population groups, the BT ancestry panel was shown to have no classification error using the Bayes likelihood calculators of the Snipper online analysis portal. The differentiation power of the component ancestry SNPs of BT was balanced as far as possible to avoid bias in the estimation of co-ancestry proportions in individuals with admixed backgrounds. The balancing process led to very similar cumulative population-specific divergence values for Africa, Europe, America, and Oceania, with East Asia being slightly below average, and South Asia an outlier from the other groups. Comparisons were made of the African, European, and Native American estimated co-ancestry proportions in the six admixed 1000 Genomes populations, using the BT ancestry panel SNPs and 572,000 Affymetrix Human Origins array SNPs. Very similar co-ancestry proportions were observed down to a minimum value of 10%, below which, low-level co-ancestry was not always reliably detected by BT SNPs. The Snipper analysis portal provides a comprehensive population dataset for the BT ancestry panel SNPs, comprising a 520-sample standardised reference dataset; 3445 additional samples from 1000 Genomes, HGDP-CEPH, Simons Foundation and Estonian Biocentre genome diversity projects; and 167 samples of six populations from in-house genotyping of individuals from Middle East, North and East African regions complementing those of the sampling regimes of the other diversity projects.
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Affiliation(s)
- María de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Jorge Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Adrián Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Catarina Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria; (C.X.); (W.P.)
| | - Jacobo Pardo-Seco
- Genetics, Vaccines, Infectious Diseases and Pediatrics Research Group (GENVIP Group), Instituto de Investigación Sanitaria de Santiago de Compostela, 15706 Santiago de Compostela, Spain;
| | - Jose Álvarez-Dios
- Faculty of Mathematics, University of Santiago de Compostela, 15705 Santiago de Compostela, Spain;
| | - Ana Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Ana Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Theresa E. Gross
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany; (T.E.G.); (E.Y.Y.C.); (P.M.S.)
- Hessisches Landeskriminalamt, 65187 Wiesbaden, Germany
| | - Elaine Y. Y. Cheung
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany; (T.E.G.); (E.Y.Y.C.); (P.M.S.)
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland;
| | - Michael Nothnagel
- Cologne Center for Genomics, University of Cologne, 50823 Cologne, Germany;
- University Hospital Cologne, 50937 Cologne, Germany
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria; (C.X.); (W.P.)
- Forensic Science Program, The Pennsylvania State University, University Park, State College, PA 16802, USA
| | - Peter M. Schneider
- Institute of Legal Medicine, Faculty of Medicine and University Clinic, University of Cologne, 50823 Cologne, Germany; (T.E.G.); (E.Y.Y.C.); (P.M.S.)
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, 3015 CN Rotterdam, South Holland, The Netherlands;
| | - Ángel Carracedo
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
- Fundación Pública Galega de Medicina Xenómica (FPGMX), 15706 Santiago de Compostela, Spain
| | - Maria Victoria Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; (M.d.l.P.); (J.R.-R.); (A.A.-C.); (A.F.-A.); (A.M.-M.); (Á.C.); (M.V.L.)
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16
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Genetic relationships of Southwest Asian and Mediterranean populations. Forensic Sci Int Genet 2021; 53:102528. [PMID: 34020230 DOI: 10.1016/j.fsigen.2021.102528] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/28/2021] [Accepted: 05/01/2021] [Indexed: 11/23/2022]
Abstract
The Southwest Asian, circum-Mediterranean, and Southern European populations (collectively, SWAMSE) together with Northern European populations form one of five "continental" groups of global populations in many analyses of population relationships. This region is of great anthropologic and forensic interest but relationships of large numbers of populations within the region have not been able to be cleanly resolved with autosomal genetic markers. To examine the genetic boundaries to the SWAMSE region and whether internal structure can be detected we have assembled data for a total of 151 separate autosomal genetic markers on populations in this region and other parts of the world for a global set of 95 populations. The markers include 83 ancestry informative SNPs as singletons and 68 microhaplotype loci defined by 204 SNPs. The 151 loci are ancestry informative on a global scale, identifying at least five biogeographic clusters. One of those clusters is a clear grouping of 37 populations containing the SWAMSE plus northern European populations to the exclusion of populations in South Central Asia and populations from farther East. A refined analysis of the 37 populations shows the northern European populations clustering separately from the SWAMSE populations. Within Southwest Asia the Samaritans and Shabaks are distinct outliers. The Yemenite Jews, Saudi, Kuwaiti, Palestinian Arabs, and Southern Tunisians cluster together loosely while the remaining populations from Northern Iraq, Mediterranean Europe, the Caucasus region, and Iran cluster in a more complex graded fashion. The majority of the SWAMSE populations from the mainland of Southwest Asia form a cluster with little internal structure reflecting a very complex history of endogamy and migrations. The set of 151 DNA polymorphisms not only distinguishes major geographical regions globally but can distinguish ancestry to a small degree within geographical regions such as SWAMSE. We discuss forensic characteristics of the polymorphisms and also identify those that rank highest by Rosenberg's In measure for the SWAMSE region populations and for the global set of populations analyzed. DATA AVAILABILITY: Genotypes on all 151 markers for all 3790 individuals typed in the Kidd Lab on the 72 Kidd lab populations have been deposited in the Zenodo archive and can be freely accessed at https://doi.org/10.5281/zenodo.4658892. Some of the data has been made public previously as supplemental files appended to publications. Data for the additional individuals included in the analyses was taken from already public datasets as indicated in the text.
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17
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The analysis of ancestry with small-scale forensic panels of genetic markers. Emerg Top Life Sci 2021; 5:443-453. [PMID: 33949669 DOI: 10.1042/etls20200327] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/07/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022]
Abstract
In the last 10 years, forensic genetic analysis has been extended beyond identification tests that link a suspect to crime scene evidence using standard DNA profiling, to new supplementary tests that can provide information to investigators about a suspect in the absence of a database hit or eyewitness testimony. These tests now encompass the prediction of physical appearance, ancestry and age. In this review, we give a comprehensive overview of the full range of DNA-based ancestry inference tests designed to work with forensic contact traces, when the level of DNA is often very low or highly degraded. We outline recent developments in the design of ancestry-informative marker sets, forensic assays that use capillary electrophoresis or massively parallel sequencing, and the statistical analysis frameworks that examine the test profile and compares it to reference population variation. Three casework ancestry analysis examples are described which were successfully accomplished in the authors' laboratory, where the ancestry information obtained was critical to the outcome of the DNA analyses made.
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18
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Hamdi Y, Zass L, Othman H, Radouani F, Allali I, Hanachi M, Okeke CJ, Chaouch M, Tendwa MB, Samtal C, Mohamed Sallam R, Alsayed N, Turkson M, Ahmed S, Benkahla A, Romdhane L, Souiai O, Tastan Bishop Ö, Ghedira K, Mohamed Fadlelmola F, Mulder N, Kamal Kassim S. Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:213-233. [PMID: 33794662 DOI: 10.1089/omi.2021.0004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Following the publication of the first human genome, OMICs research, including genomics, transcriptomics, proteomics, and metagenomics, has been on the rise. OMICs studies revealed the complex genetic diversity among human populations and challenged our understandings of genotype-phenotype correlations. Africa, being the cradle of the first modern humans, is distinguished by a large genetic diversity within its populations and rich ethnolinguistic history. However, the available human OMICs tools and databases are not representative of this diversity, therefore creating significant gaps in biomedical research. African scientists, students, and publics are among the key contributors to OMICs systems science. This expert review examines the pressing issues in human OMICs research, education, and development in Africa, as seen through a lens of computational biology, public health relevant technology innovation, critically-informed science governance, and how best to harness OMICs data to benefit health and societies in Africa and beyond. We underscore the disparities between North and Sub-Saharan Africa at different levels. A harmonized African ethnolinguistic classification would help address annotation challenges associated with population diversity. Finally, building on the existing strategic research initiatives, such as the H3Africa and H3ABioNet Consortia, we highly recommend addressing large-scale multidisciplinary research challenges, strengthening research collaborations and knowledge transfer, and enhancing the ability of African researchers to influence and shape national and international research, policy, and funding agendas. This article and analysis contribute to a deeper understanding of past and current challenges in the African OMICs innovation ecosystem, while also offering foresight on future innovation trajectories.
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Affiliation(s)
- Yosr Hamdi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.,Laboratory of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Houcemeddine Othman
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Fouzia Radouani
- Chlamydiae and Mycoplasmas Laboratory, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Imane Allali
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, and Genomic Center of Human Pathologies, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco
| | - Mariem Hanachi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.,Faculty of Science of Bizerte, Zarzouna, University of Carthage, Tunis, Tunisia
| | - Chiamaka Jessica Okeke
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Melek Chaouch
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Maureen Bilinga Tendwa
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Chaimae Samtal
- Laboratory of Biotechnology, Environment, Agri-food and Health, Faculty of Sciences Dhar El Mahraz-Sidi Mohammed Ben Abdellah University, Fez, Morocco.,University of Mohamed Premier, Oujda, Morocco
| | - Reem Mohamed Sallam
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.,Department of Basic Medical Sciences, Faculty of Medicine, Galala University, Suez, Egypt
| | - Nihad Alsayed
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Michael Turkson
- The National Institute for Mathematical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Samah Ahmed
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Lilia Romdhane
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.,Faculty of Science of Bizerte, Zarzouna, University of Carthage, Tunis, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Özlem Tastan Bishop
- Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Makhanda, South Africa
| | - Kais Ghedira
- Laboratory of Bioinformatics, Biomathematics and Biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia
| | - Faisal Mohamed Fadlelmola
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Samar Kamal Kassim
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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19
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Truelsen D, Pereira V, Phillips C, Morling N, Børsting C. Evaluation of a custom GeneRead™ massively parallel sequencing assay with 210 ancestry informative SNPs using the Ion S5™ and MiSeq platforms. Forensic Sci Int Genet 2020; 50:102411. [PMID: 33176271 DOI: 10.1016/j.fsigen.2020.102411] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 01/20/2023]
Abstract
A custom GeneRead DNAseq SNP panel with 210 markers was evaluated using the Ion S5 and MiSeq sequencing platforms. Sensitivity, PCR cycle number, and the use of half volume of reagents for target enrichment and library preparation were tested. Furthermore, genotype concordance between results obtained with the different sequencing platforms and with known profiles generated using other sequencing assays was analysed. The GeneRead DNASeq SNP assay gave reproducible results with an input of 200 pg DNA on both platforms. A total of 204 loci were successfully sequenced. Three loci failed completely in the PCR amplification, and three additional loci displayed frequent locus drop-outs due to low read depth or high heterozygote imbalance. Overall, the read depth across the loci was more well-balanced with the MiSeq, while the heterozygote balance was less variable with the Ion S5. Noise levels were low on both platforms (median< 0.2 %). Two simple criteria for genotyping were applied: A minimum threshold of 45 reads and an acceptable heterozygote balance range of 0.3-3.0. Complete concordance between platforms was observed except for three genotypes in one of the poorly performing loci, rs1470637. This locus had relatively low read depths on both platforms, skewed heterozygote balance, and frequent locus drop-outs. There was also full genotype concordance between the results from the GeneRead assay and known profiles generated with the QIAseq and Ion AmpliSeq assays. The few discordant results were either due to locus drop-outs in the poorly performing loci or allele drop-outs in the QIAseq assay. Profiles with a minimum of 179 SNPs were obtained from four challenging case work samples (blood swabs, bone, or blood from a corpse). Overall, the GeneRead DNASeq assay showed considerable potential and could provide a reliable method for SNP genotyping in cases involving identification of individuals, prediction of phenotypic traits, and ancestry inference.
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Affiliation(s)
- Ditte Truelsen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark.
| | - Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Chris Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark; Department of Mathematical Sciences, Aalborg University, DK-9220 Aalborg East, Denmark
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100 Copenhagen, Denmark
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20
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de la Puente M, Ruiz-Ramírez J, Ambroa-Conde A, Xavier C, Amigo J, Casares de Cal MÁ, Gómez-Tato A, Carracedo Á, Parson W, Phillips C, Lareu MV. Broadening the Applicability of a Custom Multi-Platform Panel of Microhaplotypes: Bio-Geographical Ancestry Inference and Expanded Reference Data. Front Genet 2020; 11:581041. [PMID: 33193704 PMCID: PMC7606911 DOI: 10.3389/fgene.2020.581041] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/25/2020] [Indexed: 11/13/2022] Open
Abstract
The development of microhaplotype (MH) panels for massively parallel sequencing (MPS) platforms is gaining increasing relevance for forensic analysis. Here, we expand the applicability of a 102 autosomal and 11 X-chromosome panel of MHs, previously validated with both MiSeq and Ion S5 MPS platforms and designed for identification purposes. We have broadened reference population data for identification purposes, including data from 240 HGDP-CEPH individuals of native populations from North Africa, the Middle East, Oceania and America. Using the enhanced population data, the panel was evaluated as a marker set for bio-geographical ancestry (BGA) inference, providing a clear differentiation of the five main continental groups of Africa, Europe, East Asia, Native America, and Oceania. An informative degree of differentiation was also achieved for the population variation encompassing North Africa, Middle East, Europe, South Asia, and East Asia. In addition, we explored the potential for individual BGA inference from simple mixed DNA, by simulation of mixed profiles followed by deconvolution of mixture components.
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Affiliation(s)
- María de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.,Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Jorge Ruiz-Ramírez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Adrián Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Catarina Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Jorge Amigo
- Fundación Pública Galega de Medicina Xenómica (FPGMX), Santiago de Compostela, Spain
| | | | - Antonio Gómez-Tato
- Faculty of Mathematics, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Ángel Carracedo
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.,Fundación Pública Galega de Medicina Xenómica (FPGMX), Santiago de Compostela, Spain
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.,Forensic Science Program, The Pennsylvania State University, University Park, PA, United States
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - María Victoria Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain
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21
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Xavier C, de la Puente M, Mosquera-Miguel A, Freire-Aradas A, Kalamara V, Vidaki A, E. Gross T, Revoir A, Pośpiech E, Kartasińska E, Spólnicka M, Branicki W, E. Ames C, M. Schneider P, Hohoff C, Kayser M, Phillips C, Parson W. Development and validation of the VISAGE AmpliSeq basic tool to predict appearance and ancestry from DNA. Forensic Sci Int Genet 2020; 48:102336. [DOI: 10.1016/j.fsigen.2020.102336] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/28/2020] [Accepted: 06/08/2020] [Indexed: 12/19/2022]
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22
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Pereira V, Santangelo R, Børsting C, Tvedebrink T, Almeida APF, Carvalho EF, Morling N, Gusmão L. Evaluation of the Precision of Ancestry Inferences in South American Admixed Populations. Front Genet 2020; 11:966. [PMID: 32973885 PMCID: PMC7472784 DOI: 10.3389/fgene.2020.00966] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 07/31/2020] [Indexed: 11/13/2022] Open
Abstract
Ancestry informative markers (AIMs) are used in forensic genetics to infer biogeographical ancestry (BGA) of individuals and may also have a prominent role in future police and identification investigations. In the last few years, many studies have been published reporting new AIM sets. These sets include markers (usually around 100 or less) selected with different purposes and different population resolutions. Regardless of the ability of these sets to separate populations from different continents or regions, the uncertainty associated with the estimates provided by these panels and their capacity to accurately report the different ancestral contributions in individuals of admixed populations has rarely been investigated. This issue is addressed in this study by evaluating different AIM sets. Ancestry inference was carried out in admixed South American populations, both at population and individual levels. The results of ancestry inferences using AIM sets with different numbers of markers among admixed reference populations were compared. To evaluate the performance of the different ancestry panels at the individual level, expected and observed estimates among families and their offspring were compared, considering that (1) the apportionment of ancestry in the offspring should be closer to the average ancestry of the parents, and (2) full siblings should present similar ancestry values. The results obtained illustrate the importance of having a good balance/compromise between not only the number of markers and their ability to differentiate ancestral populations, but also a balanced differentiation among reference groups, to obtain more precise values of genetic ancestry. This work also highlights the importance of estimating errors associated with the use of a limited number of markers. We demonstrate that although these errors have a moderate effect at the population level, they may have an important impact at the individual level. Considering that many AIM-sets are being described for inferences at the individual level and not at the population level, e.g., in association studies or the determination of a suspect's BGA, the results of this work point to the need of a more careful evaluation of the uncertainty associated with the ancestry estimates in admixed populations, when small AIM-sets are used.
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Affiliation(s)
- Vania Pereira
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Roberta Santangelo
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Claus Børsting
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Tvedebrink
- Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Ana Paula F Almeida
- DNA Diagnostic Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Elizeu F Carvalho
- DNA Diagnostic Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leonor Gusmão
- DNA Diagnostic Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.,Instituto de Investigação e Inovação em Saúde, i3S, Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
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23
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Ryan L, Mathieson M, Dwyer T, Edwards M, Harris L, Krosch M, Power D, Brisotto P, Allen C, Taylor E. Massively parallel sequencing as an investigative tool. AUST J FORENSIC SCI 2020. [DOI: 10.1080/00450618.2020.1781251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Luke Ryan
- Police Services Stream, Forensic & Scientific Services, Queensland Health, Brisbane, Australia
| | - Megan Mathieson
- Police Services Stream, Forensic & Scientific Services, Queensland Health, Brisbane, Australia
| | - Tegan Dwyer
- Police Services Stream, Forensic & Scientific Services, Queensland Health, Brisbane, Australia
| | - Marcus Edwards
- Homicide Group, State Crime Command, Queensland Police Service, Brisbane, Australia
| | - Libby Harris
- DNA Management Section, Forensic Services Group, Queensland Police Service, Brisbane, Australia
| | - Matt Krosch
- , Quality Management Section, Forensic Services Group, Queensland Police Service, Brisbane, Australia
| | - Daniel Power
- Life Science Solutions, Thermo Fisher Scientific, Scoresby, Australia
| | - Paula Brisotto
- Police Services Stream, Forensic & Scientific Services, Queensland Health, Brisbane, Australia
| | - Cathie Allen
- Police Services Stream, Forensic & Scientific Services, Queensland Health, Brisbane, Australia
| | - Ewen Taylor
- Hendra Scenes of Crime, Forensic Services Group, Queensland Police Service, Brisbane, Australia
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24
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Evaluation of the VISAGE Basic Tool for Appearance and Ancestry Prediction Using PowerSeq Chemistry on the MiSeq FGx System. Genes (Basel) 2020; 11:genes11060708. [PMID: 32604780 PMCID: PMC7349024 DOI: 10.3390/genes11060708] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/09/2020] [Accepted: 06/11/2020] [Indexed: 01/23/2023] Open
Abstract
The study of DNA to predict externally visible characteristics (EVCs) and the biogeographical ancestry (BGA) from unknown samples is gaining relevance in forensic genetics. Technical developments in Massively Parallel Sequencing (MPS) enable the simultaneous analysis of hundreds of DNA markers, which improves successful Forensic DNA Phenotyping (FDP). The EU-funded VISAGE (VISible Attributes through GEnomics) Consortium has developed various targeted MPS-based lab tools to apply FDP in routine forensic analyses. Here, we present an evaluation of the VISAGE Basic tool for appearance and ancestry prediction based on PowerSeq chemistry (Promega) on a MiSeq FGx System (Illumina). The panel consists of 153 single nucleotide polymorphisms (SNPs) that provide information about EVCs (41 SNPs for eye, hair and skin color from HIrisPlex-S) and continental BGA (115 SNPs; three overlap with the EVCs SNP set). The assay was evaluated for sensitivity, repeatability and genotyping concordance, as well as its performance with casework-type samples. This targeted MPS assay provided complete genotypes at all 153 SNPs down to 125 pg of input DNA and 99.67% correct genotypes at 50 pg. It was robust in terms of repeatability and concordance and provided useful results with casework-type samples. The results suggest that this MPS assay is a useful tool for basic appearance and ancestry prediction in forensic genetics for users interested in applying PowerSeq chemistry and MiSeq for this purpose.
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25
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Characterization of ancestry informative markers in the Tigray population of Ethiopia: A contribution to the identification process of dead migrants in the Mediterranean Sea. Forensic Sci Int Genet 2020; 45:102207. [DOI: 10.1016/j.fsigen.2019.102207] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 11/16/2019] [Accepted: 11/19/2019] [Indexed: 01/16/2023]
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26
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The MASTiFF panel-a versatile multiple-allele SNP test for forensics. Int J Legal Med 2019; 134:441-450. [PMID: 31863187 DOI: 10.1007/s00414-019-02233-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 12/11/2019] [Indexed: 10/25/2022]
Abstract
Forensic identification tests often need recourse to markers that can successfully type highly degraded DNA, and binary single nucleotide polymorphisms (SNPs) have become the variants of choice for such analyses because of their short amplified fragment lengths. The two main drawbacks of SNPs are their reduced power of discrimination per marker compared with mainstream forensic STRs and an inability to robustly detect mixed DNA-particularly using capillary electrophoresis genotyping systems such as SNaPshot™, where the dye signals are much more imbalanced than those of STR profiles. This study compiled a compact set of multiple-allele SNPs consisting of loci that had three or four nucleotide variants at the same site in order to address the lack of mixture detection capability with binary SNP tests, as well as improving levels of polymorphism per SNP by transitioning to a maximum of six or ten genotypes per locus. We report the development and optimisation of a SNaPshot-based forensic test comprising 27 tri-allelic and 2 tetra-allelic SNPs, which we named MASTiFF: a multiple-allele SNP test for forensics. Assessments of the MASTiFF panel's levels of discrimination power in the five main population groups indicate random match probabilities ranging from 10-15 down to 10-20-improving the levels possible from an equivalent number of binary SNPs. The SNaPshot test was able to detect simple mixtures successfully with more than two alleles observed in 30% of SNPs. From allele frequency data, it is estimated that more than two alleles will be present in at least one MASTiFF SNP in 99.8% of two-person mixtures, making this panel an ideal supplementary test when SNPs are chosen for the analysis of degraded forensic DNA.
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27
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Alladio E, Della Rocca C, Barni F, Dugoujon JM, Garofano P, Semino O, Berti A, Novelletto A, Vincenti M, Cruciani F. A multivariate statistical approach for the estimation of the ethnic origin of unknown genetic profiles in forensic genetics. Forensic Sci Int Genet 2019; 45:102209. [PMID: 31812099 DOI: 10.1016/j.fsigen.2019.102209] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/11/2019] [Accepted: 11/22/2019] [Indexed: 12/21/2022]
Abstract
DNA typing and genetic profile data interpretation are among the most relevant topics in forensic science; among other applications, genetic profile's capability to distinguish biogeographic information about population groups, subgroups and affiliations have been largely explored in the last decade. In fact, for investigative and intelligence purposes, it is extremely useful to identify subjects and estimate their biogeographic origins by examining the recovered DNA profiles from evidence on a crime scene. Current approaches for BiogeoGraphic Ancestry (BGA) estimation using STRs profiles are usually based on Bayesian methods, which quantify the evidence in terms of likelihood ratio, supporting or not the hypothesis that a certain profile belongs to a specific ethnic group. The present study provides an alternative approach to the likelihood ratio method that involves multivariate data analysis strategies for the estimation of multiple populations. Starting from the well-known NIST US autosomal STRs dataset involving African-American, Asian, and Caucasian individuals, and moving towards further and more geographically restricted populations (such as Northern Africans vs sub-Saharan Africans, Afghans vs Iraqis and Italians vs Romanians), powerful multivariate techniques such as Sparse and Logistic Principal Component Analysis (SL-PCA), Sparse Partial Least Squares-Discriminant Analysis (sPLS-DA) and Support Vector Machines (SVM) were employed and their discriminating power was also compared. Both sPLS-DA and SVM techniques provided robust classifications, yielding high sensitivity and specificity models capable of discriminating populations on ethnic basis. This application may represent a powerful and dynamic tool for law enforcement agencies whenever a standard autosomal STR profile is obtained from the biological evidence collected at a crime scene or recovered during mass-disaster and missing person investigations.
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Affiliation(s)
- Eugenio Alladio
- Reparto CC Investigazioni Scientifiche di Roma, Sezione di Biologia, Viale Tor di Quinto 119, 00191, Roma, Italy; Dipartimento di Chimica, Università degli Studi di Torino, Via P. Giuria 7, 10125, Torino, Italy; Centro Regionale Antidoping e di Tossicologia "A. Bertinaria" di Orbassano (Torino), Regione Gonzole 10/1, 10030, Orbassano, Torino, Italy.
| | - Chiara Della Rocca
- Dipartimento di Biologia e Biotecnologie "Charles Darwin", Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185, Roma, Italy
| | - Filippo Barni
- Reparto CC Investigazioni Scientifiche di Roma, Sezione di Biologia, Viale Tor di Quinto 119, 00191, Roma, Italy
| | - Jean-Michel Dugoujon
- Centre National de la Recherche Scientifique (CNRS) and Université Toulouse III - Paul Sabatier, 118, route de Narbonne, 31062, Toulouse Cedex 9, France
| | - Paolo Garofano
- Centro Regionale Antidoping e di Tossicologia "A. Bertinaria" di Orbassano (Torino), Regione Gonzole 10/1, 10030, Orbassano, Torino, Italy
| | - Ornella Semino
- Dipartimento di Biologia e Biotecnologie "L. Spallanzani", Università degli Studi di Pavia, Via Adolfo Ferrata 9, 27100, Pavia, Italy
| | - Andrea Berti
- Reparto CC Investigazioni Scientifiche di Roma, Sezione di Biologia, Viale Tor di Quinto 119, 00191, Roma, Italy
| | - Andrea Novelletto
- Dipartimento di Biologia, Università degli Studi di Roma "Tor Vergata", Via della Ricerca Scientifica, 1, 00133, Roma, Italy
| | - Marco Vincenti
- Dipartimento di Chimica, Università degli Studi di Torino, Via P. Giuria 7, 10125, Torino, Italy; Centro Regionale Antidoping e di Tossicologia "A. Bertinaria" di Orbassano (Torino), Regione Gonzole 10/1, 10030, Orbassano, Torino, Italy
| | - Fulvio Cruciani
- Dipartimento di Biologia e Biotecnologie "Charles Darwin", Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185, Roma, Italy; Istituto di Biologia e Patologia Molecolari, Consiglio Nazionale delle Ricerche, Rome, Italy
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28
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Truelsen D, Pereira V, Phillips C, Morling N, Børsting C. The EUROFORGEN NAME Ampliseq™ custom panel: A second tier panel developed for differentiation of individuals from the Middle East/North Africa. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2019. [DOI: 10.1016/j.fsigss.2019.10.199] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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