1
|
Köksal Z, Meyer OL, Andersen JD, Gusmão L, Mogensen HS, Pereira V, Børsting C. Pitfalls and challenges with population assignments of individuals from admixed populations: Applying Genogeographer on Brazilian individuals. Forensic Sci Int Genet 2023; 67:102934. [PMID: 37713981 DOI: 10.1016/j.fsigen.2023.102934] [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: 01/09/2023] [Revised: 06/06/2023] [Accepted: 09/06/2023] [Indexed: 09/17/2023]
Abstract
The assignment of individuals to a population can be of importance for the identification of mass disaster victims or criminal offenders in the field of forensic genetics. This assignment is based on biostatistical methods that process data of ancestry informative markers (AIMs), which are selected based on large allele frequency differences between the populations of interest. However, population assignments of individuals with an admixed genetic background are challenging. Admixed individuals are genetic mosaics of chromosomal segments from the parental populations, which may lead to ambiguous or no population assignment. This is problematic since admixture events are a substantial part of human history. In this study, we present challenges of interpreting the evidential weight of population assignments. We used Genogeographer for likelihood ratio (LR) calculations and Brazilians as examples of admixed individuals. Brazilians are a very heterogenous population representing a three-way admixture between Native Americans, Europeans, and Africans. Ancestry informative markers were typed in a total of 589 individuals from Brazil using the Precision ID Ancestry Panel. The Brazilians were assigned to six metapopulations (East Asia, Europe, Middle East, North Africa, South-Central Asia, Sub-Saharan Africa) defined in the Genogeographer software and LRs were calculated if the AIM profile was not an outlier in all metapopulations and simulated two-way (1:1) admixtures of the six metapopulations. Population assignments failed for 55% of the samples. These samples had significantly higher genetic contributions from East Asia, South-Central Asia and Sub-Saharan Africa, and significantly lower genetic contributions from Europe. Most of the individuals with population assignments were assigned to the metapopulations of Middle East (58%) or North Africa (36%), followed by Europe (4%), South-Central Asia (1%), and Sub-Saharan Africa (1%). For 8% of the samples, population assignments were only possible when assignments to simulated two-way (1:1) admixtures of the six metapopulations were considered. Most of these individuals were assigned to two-way admixtures of North Africa, South-Central Asia, or Sub-Saharan Africa. Relatively low median likelihood ratios (LRs<1000) were observed when comparing population likelihoods for Europe, Middle East, North Africa, South-Central Asia, or simulated 1:1 admixtures of these metapopulations. Comparisons including East Asian or Sub-Saharan African populations resulted in larger median LRs (LR>1010). The results suggested that the Precision ID Ancestry Panel provided too little information and that additional markers specifically selected for sub-continental differentiation may be required for accurate population assignment of admixed individuals. Furthermore, a Genogeographer database with additional populations including admixed populations would be advantageous for interpretation of admixed AIM profiles. It would likely increase the number of population assignments and illustrate alternatives to the most likely population, which would be valuable information for the case officer when writing the case report.
Collapse
Affiliation(s)
- Zehra Köksal
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Olivia Luxford Meyer
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeppe Dyrberg Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Helle Smidt Mogensen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - 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
| |
Collapse
|
2
|
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.
Collapse
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.
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
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.
Collapse
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
| |
Collapse
|
5
|
Pfaffelhuber P, Rohde A. A central limit theorem concerning uncertainty in estimates of individual admixture. Theor Popul Biol 2022; 148:28-39. [PMID: 36208800 DOI: 10.1016/j.tpb.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022]
Abstract
The concept of individual admixture (IA) assumes that the genome of individuals is composed of alleles inherited from K ancestral populations. Each copy of each allele has the same chance qk to originate from population k, and together with the allele frequencies p in all populations at all M markers, comprises the admixture model. Here, we assume a supervised scheme, i.e. allele frequencies p are given through a reference database of size N, and q is estimated via maximum likelihood for a single sample. We study laws of large numbers and central limit theorems describing effects of finiteness of both, M and N, on the estimate of q. We recall results for the effect of finite M, and provide a central limit theorem for the effect of finite N, introduce a new way to express the uncertainty in estimates in standard barplots, give simulation results, and discuss applications in forensic genetics.
Collapse
Affiliation(s)
- Peter Pfaffelhuber
- Abteilung für Mathematische Stochastik, Albert-Ludwigs University of Freiburg, Ernst-Zermelo. 1, D - 79104 Freiburg, Germany.
| | - Angelika Rohde
- Abteilung für Mathematische Stochastik, Albert-Ludwigs University of Freiburg, Ernst-Zermelo. 1, D - 79104 Freiburg, Germany.
| |
Collapse
|
6
|
Mogensen H, Tvedebrink T, Pereira V, Eriksen P, Morling N. Update of aims population data and test with the genogeographer admixture module. FORENSIC SCIENCE INTERNATIONAL GENETICS SUPPLEMENT SERIES 2022. [DOI: 10.1016/j.fsigss.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
7
|
Guo F, Lang Y, Long G, Liu Z, Jing G, Zhou Y, Zhang B, Yu S. Ion Torrent TM Genexus TM Integrated Sequencer and ForeNGS Analysis Software—an automatic NGS-STR workflow from DNA to profile for forensic science. Forensic Sci Int Genet 2022; 61:102753. [DOI: 10.1016/j.fsigen.2022.102753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/03/2022] [Accepted: 07/28/2022] [Indexed: 11/26/2022]
|