1
|
Pedroza Matute S, Turvey K, Iyavoo S. Advancing human genotyping: The Infinium HTS iSelect Custom microarray panel (Rita) development study. Forensic Sci Int Genet 2024; 71:103049. [PMID: 38653142 DOI: 10.1016/j.fsigen.2024.103049] [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: 12/15/2023] [Revised: 04/04/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Single Nucleotide Polymorphisms (SNPs), as the most prevalent type of variation in the human genome, play a pivotal role in influencing human traits. They are extensively utilized in diverse fields such as population genetics, forensic science, and genetic medicine. This study focuses on the 'Rita' BeadChip, a custom SNP microarray panel developed using Illumina Infinium HTS technology. Designed for high-throughput genotyping, the panel facilitates the analysis of over 4000 markers efficiently and cost-effectively. After careful clustering performed on a set of 1000 samples, an evaluation of the Rita panel was undertaken, assessing its sensitivity, repeatability, reproducibility, precision, accuracy, and resistance to contamination. The panel's performance was evaluated in various scenarios, including sex estimation and parental relationship assessment, using GenomeStudio data analysis software. Findings show that over 95 % of the custom BeadChip assay markers were successful, with better performance of transitions over other mutations, and a considerably lower success rate for Y chromosome loci. An exceptional call rate exceeding 99 % was demonstrated for control samples, even with DNA input as low as 0.781 ng. Call rates above 80 % were still obtained with DNA quantities under 0.1 ng, indicating high sensitivity and suitability for forensic applications where DNA quantity is often limited. Repeatability, reproducibility, and precision studies revealed consistency of the panel's performance across different batches and operators, with no significant deviations in call rates or genotyping results. Accuracy assessments, involving comparison with multiple available genetic databases, including the 1000 Genome Project and HapMap, denoted over 99 % concordance, establishing the Rita panel's reliability in genotyping. The contamination study revealed insights into background noise and allowed the definition of thresholds for sample quality evaluation. Multiple metrics for differentiating between negative controls and true samples were highlighted, increasing the reliability of the obtained results. The sex estimation tool in GenomeStudio proved highly effective, correctly assigning sex in all samples with autosomal loci call rates above 97 %. The parental relationship assessment of family trios highlighted the utility of GenomeStudio in identifying genotyping errors or potential Mendelian inconsistencies, promoting the application of arrays such as Rita in kinship testing. Overall, this evaluation confirms the Rita microarray as a robust, high-throughput genotyping tool, underscoring its potential in genetic research and forensic applications. With its custom content and adaptable design, it not only meets current genotyping demands but also opens avenues for further research and application expansion in the field of genetic analysis.
Collapse
Affiliation(s)
| | - Kiera Turvey
- IDna Genetics Limited, Scottow Enterprise Park, Norwich, Norfolk NR10 5FB, United Kingdom
| | - Sasitaran Iyavoo
- IDna Genetics Limited, Scottow Enterprise Park, Norwich, Norfolk NR10 5FB, United Kingdom; School of Chemistry, College of Health and Science, University of Lincoln, Lincoln, Lincolnshire LN6 7TS, United Kingdom.
| |
Collapse
|
2
|
Bagnasco G, Marzullo M, Cattaneo C, Biehler-Gomez L, Mazzarelli D, Ricciardi V, Müller W, Coppa A, McLaughlin R, Motta L, Prato O, Schmidt F, Gaveriaux F, Marras GB, Millet MA, Madgwick R, Ballantyne R, Makarewicz CA, Trentacoste A, Reimer P, Mattiangeli V, Bradley DG, Malone C, Esposito C, Breslin EM, Stoddart S. Bioarchaeology aids the cultural understanding of six characters in search of their agency (Tarquinia, ninth-seventh century BC, central Italy). Sci Rep 2024; 14:11895. [PMID: 38806487 PMCID: PMC11133411 DOI: 10.1038/s41598-024-61052-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/30/2024] [Indexed: 05/30/2024] Open
Abstract
Etruria contained one of the great early urban civilisations in the Italian peninsula during the first millennium BC, much studied from a cultural, humanities-based, perspective, but relatively little with scientific data, and rarely in combination. We have addressed the unusual location of twenty inhumations found in the sacred heart of the Etruscan city of Tarquinia, focusing on six of these as illustrative, contrasting with the typical contemporary cremations found in cemeteries on the edge of the city. The cultural evidence suggests that the six skeletons were also distinctive in their ritualization and memorialisation. Focusing on the six, as a representative sample, the scientific evidence of osteoarchaeology, isotopic compositions, and ancient DNA has established that these appear to show mobility, diversity and violence through an integrated bioarchaeological approach. The combination of multiple lines of evidence makes major strides towards a deeper understanding of the role of these extraordinary individuals in the life of the early city of Etruria.
Collapse
Affiliation(s)
- G Bagnasco
- Dipartimento di Beni Culturali e Ambientali, CRC "Progetto Tarquinia", Università degli Studi di Milano, Milan, Italy.
| | - M Marzullo
- Dipartimento di Beni Culturali e Ambientali, CRC "Progetto Tarquinia", Università degli Studi di Milano, Milan, Italy
| | - C Cattaneo
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - L Biehler-Gomez
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - D Mazzarelli
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - V Ricciardi
- LABANOF (Laboratorio di Antropologia e Odontologia Forense), Università degli Studi di Milano, Milan, Italy
| | - W Müller
- Institute of Geosciences, Goethe University, Frankfurt, Frankfurt am Main, Germany
- Frankfurt Isotope and Element Research Center (FIERCE), Goethe University, Frankfurt, Frankfurt am Main, Germany
| | - A Coppa
- Dipartimento di Storia Antropologia Religioni Arte Spettacolo, Sapienza Università di Roma, Rome, Italy
| | - R McLaughlin
- Hamilton Institute, Maynooth University, Maynooth, Ireland
| | - L Motta
- Department of Classical Studies and Program in the Environment, University of Michigan, Ann Arbor, USA
| | - O Prato
- Institute of Archaeology, UCL University College London, London, UK
| | | | - F Gaveriaux
- Kelsey Museum of Archaeology, University of Michigan, Ann Arbor, USA
| | | | - M A Millet
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, UK
| | - R Madgwick
- Cardiff School of History, Archaeology and Religion, Cardiff University, Cardiff, UK
| | - R Ballantyne
- School of Archaeology, University of Oxford, Oxford, UK
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - C A Makarewicz
- Institut für Ur- und Frühgeschichte, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - A Trentacoste
- Institut für Ur- und Frühgeschichte, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - P Reimer
- School of Natural and Built Environment, Queen's University Belfast, Belfast, BT7 1NN, UK
| | - V Mattiangeli
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
| | - D G Bradley
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
| | - C Malone
- School of Natural and Built Environment, Queen's University Belfast, Belfast, BT7 1NN, UK
| | - C Esposito
- Dipartimento di Beni Culturali, Alma Mater Studiorum, Università di Bologna, Ravenna, Italy
| | - E M Breslin
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin2, Ireland
| | | |
Collapse
|
3
|
Sapan V, Simsek SZ, Filoğlu G, Bulbul O. Forensic DNA phenotyping using Oxford Nanopore Sequencing system. Electrophoresis 2024. [PMID: 38794987 DOI: 10.1002/elps.202300252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 03/27/2024] [Accepted: 05/08/2024] [Indexed: 05/27/2024]
Abstract
In forensic science, the demand for precision, consistency, and cost-effectiveness has driven the exploration of next-generation sequencing technologies. This study investigates the potential of Oxford Nanopore Sequencing (ONT) Technology for analyzing the HIrisPlex-S panel, a set of 41 single nucleotide polymorphism (SNP) markers used to predict eye, hair, and skin color. Using ONT sequencing, we assessed the accuracy and reliability of ONT-generated data by comparing it with conventional capillary electrophoresis (CE) in 18 samples. The Guppy v6.1 was used as a basecaller, and sample profiles were obtained using Burrows-Wheeler Aligner, Samtools, BCFtools, and Python. Comparing accuracy with CE, we found that 62% of SNPs in ONT-unligated samples were correctly genotyped, with 36% showing allele dropout, and 2% being incorrectly genotyped. In the ONT-ligated samples, 85% of SNPs were correctly genotyped, with 10% showing allele dropout, and 5% being incorrectly genotyped. Our findings indicate that ONT, particularly when combined with ligation, enhances genotyping accuracy and coverage, thereby reducing allele dropouts. However, challenges associated with the technology's error rates and the impact on genotyping accuracy are recognized. Phenotype predictions based on ONT data demonstrate varying degrees of success, with the technology showing high accuracy in several cases. Although ONT technology holds promise in forensic genetics, further optimization and quality control measures are essential to harness its full potential. This study contributes to the ongoing efforts to refine sequence read tuning and improve correction tools in the context of ONT technology's application in forensic genetics.
Collapse
Affiliation(s)
- Veysel Sapan
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Sumeyye Zulal Simsek
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gonul Filoğlu
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Ozlem Bulbul
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| |
Collapse
|
4
|
Bettim CA, da Silva AV, Kahmann A, Dorn M, Alho CS, Avila E. MC1R and age heteroclassification of face phenotypes in the Rio Grande do Sul population. Int J Legal Med 2024; 138:859-872. [PMID: 38087053 DOI: 10.1007/s00414-023-03143-6] [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: 06/01/2023] [Accepted: 11/22/2023] [Indexed: 04/11/2024]
Abstract
BACKGROUND Forensic DNA phenotyping (FDP) consists of the use of methodologies for predicting externally visible characteristics (EVCs) from the genetic material of biological samples found in crime scenes and has proven to be a promising tool in aiding human identification in police activities. Currently, methods based on multiplex assays and statistical models of prediction of EVCs related to hair, skin, and iris pigmentation using panels of SNP and INDEL biomarkers have already been developed and validated by the forensic scientific community. As well as traces of pigmentation, an individual's perceived age (PA) can also be considered an EVC and its estimation in unknown individuals can be useful for the progress of investigations. Liu and colleagues (2016) were pioneers in evidencing that, in addition to lifestyle and environmental factors, the presence of SNP and INDEL variants in the MC1R gene - which encodes a transmembrane receptor responsible for regulating melanin production - seems to contribute to an individual's PA. The group highlighted the association between these MC1R gene polymorphisms and the PA in the European population, where carriers of risk haplotypes appeared to be up to 2 years older in comparison to their chronological age (CA). PURPOSE Understanding that genotype-phenotype relationships cannot be extrapolated between different population groups, this study aimed to test this hypothesis and verify the applicability of this variant panel in the Rio Grande do Sul admixed population. METHODS Based on genomic data from a sample of 261 volunteers representative of gaucho population and using a multiple linear regression (MLR) model, our group was able to verify a significant association among nine intronic variants in loci adjacent to MC1R (e.g., AFG3L1P, TUBB3, FANCA) and facial age appearance, whose PA was defined after age heteroclassification of standard frontal face images through 11 assessors. RESULTS Different from that observed in European populations, our results show that the presence of effect alleles (R) of the selected variants in our sample influenced both younger and older face phenotypes. The influence of each variant on PA is expressed as β values. CONCLUSIONS There are important molecular mechanisms behind the effects of MC1R locus on PA, and the genomic background of each population seems to be crucial to determine this influence.
Collapse
Affiliation(s)
- Cássio Augusto Bettim
- Structural Bioinformatics and Computational Biology Lab, Institute of Informatics, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil
| | - Alexsandro Vasconcellos da Silva
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil
- Technical Scientific and Identification Sections, Superintendency of Federal Police in Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Alessandro Kahmann
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil.
- National Science and Technology Institute for Children Cancer Biology and Pediatric Oncology, Porto Alegre, RS, Brazil.
- Interdisciplinary Department, Federal University of Rio Grande Do Sul, Tramandaí, RS, Brazil.
| | - Márcio Dorn
- Structural Bioinformatics and Computational Biology Lab, Institute of Informatics, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil
- National Science and Technology Institute for Children Cancer Biology and Pediatric Oncology, Porto Alegre, RS, Brazil
| | - Clarice Sampaio Alho
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil
- National Science and Technology Institute for Children Cancer Biology and Pediatric Oncology, Porto Alegre, RS, Brazil
| | - Eduardo Avila
- National Science and Technology Institute for Forensic Science, Porto Alegre, RS, Brazil
- Technical Scientific and Identification Sections, Superintendency of Federal Police in Rio Grande do Sul, Porto Alegre, RS, Brazil
- National Science and Technology Institute for Children Cancer Biology and Pediatric Oncology, Porto Alegre, RS, Brazil
| |
Collapse
|
5
|
Gutiérrez-Hurtado IA, Sánchez-Méndez AD, Becerra-Loaiza DS, Rangel-Villalobos H, Torres-Carrillo N, Gallegos-Arreola MP, Aguilar-Velázquez JA. Loss of the Y Chromosome: A Review of Molecular Mechanisms, Age Inference, and Implications for Men's Health. Int J Mol Sci 2024; 25:4230. [PMID: 38673816 PMCID: PMC11050192 DOI: 10.3390/ijms25084230] [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: 03/05/2024] [Revised: 03/29/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Until a few years ago, it was believed that the gradual mosaic loss of the Y chromosome (mLOY) was a normal age-related process. However, it is now known that mLOY is associated with a wide variety of pathologies in men, such as cardiovascular diseases, neurodegenerative disorders, and many types of cancer. Nevertheless, the mechanisms that generate mLOY in men have not been studied so far. This task is of great importance because it will allow focusing on possible methods of prophylaxis or therapy for diseases associated with mLOY. On the other hand, it would allow better understanding of mLOY as a possible marker for inferring the age of male samples in cases of human identification. Due to the above, in this work, a comprehensive review of the literature was conducted, presenting the most relevant information on the possible molecular mechanisms by which mLOY is generated, as well as its implications for men's health and its possible use as a marker to infer age.
Collapse
Affiliation(s)
- Itzae Adonai Gutiérrez-Hurtado
- Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Guadalajara 44340, Jalisco, Mexico
| | - Astrid Desireé Sánchez-Méndez
- Laboratorio de Ciencias Morfológico Forenses y Medicina Molecular, Departamento de Morfología, Centro Universitario de Ciencias de la Salud, Guadalajara 44340, Jalisco, Mexico
- Doctorado en Genética Humana, Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | | | - Héctor Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Departamento de Ciencias Médicas y de la Vida, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán 47820, Jalisco, Mexico
| | - Norma Torres-Carrillo
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Martha Patricia Gallegos-Arreola
- División de Genética, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara 44340, Jalisco, Mexico
| | - José Alonso Aguilar-Velázquez
- Laboratorio de Ciencias Morfológico Forenses y Medicina Molecular, Departamento de Morfología, Centro Universitario de Ciencias de la Salud, Guadalajara 44340, Jalisco, Mexico
| |
Collapse
|
6
|
Barash M, McNevin D, Fedorenko V, Giverts P. Machine learning applications in forensic DNA profiling: A critical review. Forensic Sci Int Genet 2024; 69:102994. [PMID: 38086200 DOI: 10.1016/j.fsigen.2023.102994] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 11/06/2023] [Accepted: 11/26/2023] [Indexed: 01/29/2024]
Abstract
Machine learning (ML) is a range of powerful computational algorithms capable of generating predictive models via intelligent autonomous analysis of relatively large and often unstructured data. ML has become an integral part of our daily lives with a plethora of applications, including web, business, automotive industry, clinical diagnostics, scientific research, and more recently, forensic science. In the field of forensic DNA, the manual analysis of complex data can be challenging, time-consuming, and error-prone. The integration of novel ML-based methods may aid in streamlining this process while maintaining the high accuracy and reproducibility required for forensic tools. Due to the relative novelty of such applications, the forensic community is largely unaware of ML capabilities and limitations. Furthermore, computer science and ML professionals are often unfamiliar with the forensic science field and its specific requirements. This manuscript offers a brief introduction to the capabilities of machine learning methods and their applications in the context of forensic DNA analysis and offers a critical review of the current literature in this rapidly developing field.
Collapse
Affiliation(s)
- Mark Barash
- Department of Justice Studies, San José State University, San Jose, CA, United States; Centre for Forensic Science, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia.
| | - Dennis McNevin
- Centre for Forensic Science, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia
| | - Vladimir Fedorenko
- The Educational and Scientific Laboratory of Forensic Materials Engineering of the Saratov State University, Russia
| | - Pavel Giverts
- Division of Identification and Forensic Science, Israel Police HQ, Haim Bar-Lev Road, Jerusalem, Israel
| |
Collapse
|
7
|
Deymenci E, Sarı O I, Filoglu G, Polat E, Bulbul O. Eye and hair color prediction of human DNA recovered from Lucilia sericata larvae. Int J Legal Med 2024; 138:627-637. [PMID: 37934208 DOI: 10.1007/s00414-023-03112-z] [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: 03/14/2023] [Accepted: 10/23/2023] [Indexed: 11/08/2023]
Abstract
Forensic entomological evidence is employed to estimate minimum postmortem interval (PMImin), location, and identification of fly samples or human remains. Traditional forensic DNA analysis (i.e., STR, mitochondrial DNA) has been used for human identification from the larval gut contents. Forensic DNA phenotyping (FDP), predicting human appearance from DNA-based crime scene evidence, has become an established approach in forensic genetics in the past years. In this study, we aimed to recover human DNA from Lucilia sericata (Meigen 1826) (Diptera: Calliphoridae) gut contents and predict the eye and hair color of individuals using the HIrisPlex system. Lucilia sericata larvae and reference blood samples were collected from 30 human volunteers who were under maggot debridement therapy. The human DNA was extracted from the crop contents and quantified. HIrisPlex multiplex analysis was performed using the SNaPshot minisequencing procedure. The HIrisPlex online tool was used to assess the prediction of the eye and hair color of the larval and reference samples. We successfully genotyped 25 out of 30 larval samples, and the most SNP genotypes (87.13%) matched those of reference samples, though some alleles were dropped out, producing partial profiles. The prediction of the eye colors was accurate in 17 out of 25 larval samples, and only one sample was misclassified. Fourteen out of 25 larval samples were correctly predicted for hair color, and eight were misclassified. This study shows that SNP analysis of L. sericata gut contents can be used to predict eye and hair color of a corpse.
Collapse
Affiliation(s)
- Emre Deymenci
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Adli Tıp ve Adli Bilimler Enstitüsü, Büyükçekmece Yerleşkesi, 34500 Büyükçekmece, Istanbul, Turkey
| | - Ilksen Sarı O
- Department of Medical Services and Techniques, Vocational School of Health Services, Istanbul Gelisim University, 34310, Istanbul, Turkey
| | - Gonul Filoglu
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Adli Tıp ve Adli Bilimler Enstitüsü, Büyükçekmece Yerleşkesi, 34500 Büyükçekmece, Istanbul, Turkey
| | - Erdal Polat
- Department of Medical Microbiology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Ozlem Bulbul
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, Adli Tıp ve Adli Bilimler Enstitüsü, Büyükçekmece Yerleşkesi, 34500 Büyükçekmece, Istanbul, Turkey.
| |
Collapse
|
8
|
Hui R, Scheib CL, D’Atanasio E, Inskip SA, Cessford C, Biagini SA, Wohns AW, Ali MQ, Griffith SJ, Solnik A, Niinemäe H, Ge XJ, Rose AK, Beneker O, O’Connell TC, Robb JE, Kivisild T. Genetic history of Cambridgeshire before and after the Black Death. SCIENCE ADVANCES 2024; 10:eadi5903. [PMID: 38232165 PMCID: PMC10793959 DOI: 10.1126/sciadv.adi5903] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/14/2023] [Indexed: 01/19/2024]
Abstract
The extent of the devastation of the Black Death pandemic (1346-1353) on European populations is known from documentary sources and its bacterial source illuminated by studies of ancient pathogen DNA. What has remained less understood is the effect of the pandemic on human mobility and genetic diversity at the local scale. Here, we report 275 ancient genomes, including 109 with coverage >0.1×, from later medieval and postmedieval Cambridgeshire of individuals buried before and after the Black Death. Consistent with the function of the institutions, we found a lack of close relatives among the friars and the inmates of the hospital in contrast to their abundance in general urban and rural parish communities. While we detect long-term shifts in local genetic ancestry in Cambridgeshire, we find no evidence of major changes in genetic ancestry nor higher differentiation of immune loci between cohorts living before and after the Black Death.
Collapse
Affiliation(s)
- Ruoyun Hui
- Alan Turing Institute, London, UK
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - Christiana L. Scheib
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- St John’s College, University of Cambridge, Cambridge, UK
| | | | - Sarah A. Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Craig Cessford
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Cambridge Archaeological Unit, Department of Archaeology, University of Cambridge, Cambridge, UK
| | | | - Anthony W. Wohns
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics and Biology, Stanford University, Stanford, CA, USA
| | | | - Samuel J. Griffith
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Helja Niinemäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Xiangyu Jack Ge
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, UK
| | - Alice K. Rose
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Department of Archaeology, University of Durham, Durham, UK
| | - Owyn Beneker
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Tamsin C. O’Connell
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - John E. Robb
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Toomas Kivisild
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| |
Collapse
|
9
|
Allentoft ME, Sikora M, Fischer A, Sjögren KG, Ingason A, Macleod R, Rosengren A, Schulz Paulsson B, Jørkov MLS, Novosolov M, Stenderup J, Price TD, Fischer Mortensen M, Nielsen AB, Ulfeldt Hede M, Sørensen L, Nielsen PO, Rasmussen P, Jensen TZT, Refoyo-Martínez A, Irving-Pease EK, Barrie W, Pearson A, Sousa da Mota B, Demeter F, Henriksen RA, Vimala T, McColl H, Vaughn A, Vinner L, Renaud G, Stern A, Johannsen NN, Ramsøe AD, Schork AJ, Ruter A, Gotfredsen AB, Henning Nielsen B, Brinch Petersen E, Kannegaard E, Hansen J, Buck Pedersen K, Pedersen L, Klassen L, Meldgaard M, Johansen M, Uldum OC, Lotz P, Lysdahl P, Bangsgaard P, Petersen PV, Maring R, Iversen R, Wåhlin S, Anker Sørensen S, Andersen SH, Jørgensen T, Lynnerup N, Lawson DJ, Rasmussen S, Korneliussen TS, Kjær KH, Durbin R, Nielsen R, Delaneau O, Werge T, Kristiansen K, Willerslev E. 100 ancient genomes show repeated population turnovers in Neolithic Denmark. Nature 2024; 625:329-337. [PMID: 38200294 PMCID: PMC10781617 DOI: 10.1038/s41586-023-06862-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 11/13/2023] [Indexed: 01/12/2024]
Abstract
Major migration events in Holocene Eurasia have been characterized genetically at broad regional scales1-4. However, insights into the population dynamics in the contact zones are hampered by a lack of ancient genomic data sampled at high spatiotemporal resolution5-7. Here, to address this, we analysed shotgun-sequenced genomes from 100 skeletons spanning 7,300 years of the Mesolithic period, Neolithic period and Early Bronze Age in Denmark and integrated these with proxies for diet (13C and 15N content), mobility (87Sr/86Sr ratio) and vegetation cover (pollen). We observe that Danish Mesolithic individuals of the Maglemose, Kongemose and Ertebølle cultures form a distinct genetic cluster related to other Western European hunter-gatherers. Despite shifts in material culture they displayed genetic homogeneity from around 10,500 to 5,900 calibrated years before present, when Neolithic farmers with Anatolian-derived ancestry arrived. Although the Neolithic transition was delayed by more than a millennium relative to Central Europe, it was very abrupt and resulted in a population turnover with limited genetic contribution from local hunter-gatherers. The succeeding Neolithic population, associated with the Funnel Beaker culture, persisted for only about 1,000 years before immigrants with eastern Steppe-derived ancestry arrived. This second and equally rapid population replacement gave rise to the Single Grave culture with an ancestry profile more similar to present-day Danes. In our multiproxy dataset, these major demographic events are manifested as parallel shifts in genotype, phenotype, diet and land use.
Collapse
Affiliation(s)
- Morten E Allentoft
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
| | - Anders Fischer
- Cluster of Excellence ROOTS, Kiel University, Kiel, Germany
- Sealand Archaeology, Kalundborg, Denmark
| | - Karl-Göran Sjögren
- Department of Historical Studies, Gothenburg University, Göteborg, Sweden
| | - Andrés Ingason
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ruairidh Macleod
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK
- Research Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Anders Rosengren
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Copenhagen, Denmark
| | | | | | - Maria Novosolov
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Stenderup
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - T Douglas Price
- Laboratory for Archaeological Chemistry, Department of Anthropology, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | | | | | | | | | - Alba Refoyo-Martínez
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Evan K Irving-Pease
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - William Barrie
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Alice Pearson
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Bárbara Sousa da Mota
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Fabrice Demeter
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Eco-anthropologie (EA), Dpt ABBA, Muséum National d'Histoire Naturelle, CNRS, Université Paris Cité, Musée de l'Homme, Paris, France
| | - Rasmus A Henriksen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Tharsika Vimala
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Vaughn
- Center for Computational Biology, University of California, Berkeley, USA
| | - Lasse Vinner
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Gabriel Renaud
- Department of Health Technology, Section of Bioinformatics, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Aaron Stern
- Center for Computational Biology, University of California, Berkeley, USA
| | | | - Abigail Daisy Ramsøe
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Andrew Joseph Schork
- Laboratory of Biological Anthropology, University of Copenhagen, Copenhagen, Denmark
- Neurogenomics Division, The Translational Genomics Research Institute (TGEN), Phoenix, AZ, USA
| | - Anthony Ruter
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Anne Birgitte Gotfredsen
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | | | | | | | - Morten Meldgaard
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Health and Nature, University of Greenland, Nuuk, Greenland
| | | | | | - Per Lotz
- Museum Nordsjælland, Hillerød, Denmark
- Museum Vestsjælland, Holbæk, Denmark
| | - Per Lysdahl
- Vendsyssel Historiske Museum, Hjørring, Denmark
| | - Pernille Bangsgaard
- Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Rikke Maring
- Department of Archaeology and Heritage Studies, Aarhus University, Aarhus, Denmark
- Museum Østjylland, Randers, Denmark
| | - Rune Iversen
- The Saxo Institute, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | - Niels Lynnerup
- Laboratory of Biological Anthropology, Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Daniel J Lawson
- Institute of Statistical Sciences, School of Mathematics, University of Bristol, Bristol, UK
| | - Simon Rasmussen
- Novo Nordisk Foundation Centre for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark
| | | | - Kurt H Kjær
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Rasmus Nielsen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology and Statistics, UC Berkeley, Berkeley, CA, USA
| | - Olivier Delaneau
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Thomas Werge
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Kristiansen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Historical Studies, Gothenburg University, Göteborg, Sweden
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
- MARUM Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, Germany.
| |
Collapse
|
10
|
Watson J, McNevin D, Grisedale K, Spiden M, Seddon S, Ward J. Operationalisation of the ForenSeq® Kintelligence Kit for Australian unidentified and missing persons casework. Forensic Sci Int Genet 2024; 68:102972. [PMID: 37918284 DOI: 10.1016/j.fsigen.2023.102972] [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: 08/14/2023] [Revised: 10/03/2023] [Accepted: 10/24/2023] [Indexed: 11/04/2023]
Abstract
Single nucleotide polymorphism (SNP) genotyping technologies can generate investigative leads for human remains identification, including estimation of biological sex, biogeographical ancestry (BGA), externally visible characteristics (EVCs), identity, uniparental lineage and extended kinship. The ForenSeq® Kintelligence Kit provides forensic laboratories with the ability to apply this suite of genetic tools to forensic samples using one panel targeting 10,230 SNPs (including 56 ancestry-informative, 24 phenotype-informative, 94 identity-informative, 106 X chromosome, 85 Y chromosome and 9867 kinship-informative SNPs) sequenced on the MiSeq FGx® Sequencing System. The ForenSeq® Kintelligence Kit has been internally validated, optimised and operationalised by the Australian Federal Police National DNA Program for Unidentified and Missing Persons (AFP Program) for coronial casework. The internal validation was conducted according to the Scientific Working Group on DNA Analysis Methods guidelines (excluding mixture analysis), focussing on sample types typically encountered in human remains identification casework, such as bones, teeth, nail, blood and hair. The workflow was optimised for a high throughput library preparation and sequencing workflow, and additional analytical thresholds were developed to improve genotyping accuracy for low DNA input samples. Additionally, the genetic intelligence generated from the kit was compared to the self-declared biological sex, EVCs and BGA of the DNA donors to assess concordance. The kit was able to produce high quality SNP profiles from 1.0 ng down to 0.1 ng of DNA, with high repeatability and reproducibility, and minimal background noise. The prediction accuracy for biological sex (95%), hair colour (58%), eye colour (74%) and BGA inferences (consistent: 74%; partially consistent: 10%; inconclusive: 16%) was determined based on self-declared data. Additionally, SNP profiles from a volunteer family group of ten related individuals were uploaded to GEDmatch PRO™ to assess kinship accuracy. The kit was capable of detecting (97%) and accurately classifying (90%) genetic relationships spanning from first to fifth degree. The Kintelligence Kit provides the AFP Program with a robust and reliable genetic intelligence tool for unidentified and missing persons investigations, which has been designed to sequence multiple challenging samples in a single multiplexed assay using existing laboratory instrumentation.
Collapse
Affiliation(s)
- Jessica Watson
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia; Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Australia.
| | - Dennis McNevin
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia; Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Australia
| | - Kelly Grisedale
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia
| | - Michelle Spiden
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia
| | - Shelley Seddon
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia
| | - Jodie Ward
- Australian Federal Police National DNA Program for Unidentified and Missing Persons, Australia; Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Australia
| |
Collapse
|
11
|
Becher D, Jmel H, Kheriji N, Sarno S, Kefi R. Genetic landscape of forensic DNA phenotyping markers among Mediterranean populations. Forensic Sci Int 2024; 354:111906. [PMID: 38128201 DOI: 10.1016/j.forsciint.2023.111906] [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: 10/09/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023]
Abstract
Forensic DNA Phenotyping can reveal the appearance of an unknown individual by predicting the External Visible Characteristics (EVC) from DNA obtained at the crime scene. Our aim is to characterize the genetic landscape of Human identification markers responsible for EVC among Mediterranean populations compared to other worldwide groups. We conducted an exhaustive search for genes involved in EVC variation. Then, variants located on these genes were extracted from public genotypic data of Mediterranean, American, African and East Asiatic populations. The genetic landscape of these Human identification markers, their allelic distribution and admixture analyses, were determined using plink, R and ADMIXTURE softwares. Our results showed that the Mediterranean populations appear close to the Mexican populations and distinguished from sub Saharan African populations living in the USA and from East Asiatic populations. We highlighted a total of 103454 common variants shared between the studied populations and among them, 25 common variants associated with EVC. Interestingly, genotype frequencies results showed that the rs17646946, rs13016869, rs977588, rs1805008 and rs2240751 variants located respectively in the TCHH, PRKCE, OCA2, MC1R and MFSD12 genes are significantly different between the Mediterranean and Asiatic populations. The genotype frequencies of the variants rs977589 and rs7179994 located in the OCA2 gene, and of rs12913832 and rs2240751 located respectively in HERC2 and MFSD12 genes are significantly different between the Mediterranean and American populations. Our work generates a large number of EVC variants that could be a valuable resource for future studies in the forensic field.
Collapse
Affiliation(s)
- Dorra Becher
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Directorate of Technical and Scientific Police, Sub-Directorate of Forensic and Scientific Laboratories, Tunis,Tunisia; University of Carthage, National Institute of Applied Science and Technology, Tunis, Tunisia
| | - Haifa Jmel
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Genetic Typing Service, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Nadia Kheriji
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia
| | - Stefania Sarno
- Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; Genetic Typing Service, Institut Pasteur de Tunis, BP 74, 13 Place Pasteur, Tunis 1002, Tunisia; University of Tunis El Manar, 2092 El Manar I, Tunis, Tunisia.
| |
Collapse
|
12
|
Cho HW, Ban HJ, Jin HS, Cha S, Eom YB. A genome-wide association scan reveals novel loci for facial traits of Koreans. Genomics 2023; 115:110710. [PMID: 37734486 DOI: 10.1016/j.ygeno.2023.110710] [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: 07/05/2023] [Revised: 09/07/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023]
Abstract
DNA-based prediction of externally visible characteristics (EVC) with SNPs is one of the research areas of interest in the forensic field. Based on a previous study performing GWAS on facial traits in a Korean population, herein, we present results stemming from GWA analysis with KoreanChip and novel genetic loci satisfying genome-wide significant level. We discovered a total of 20 signals and 12 loci were found to have novel associations with facial traits, including six loci located in intergenic regions and six loci located at UBE2O, HECTD2, CCDC108, TPK1, FCN2, and FRMPD1. Additionally, we performed a polygenic score analysis for 33 distance-related traits in facial phenotyping and determined genetic relationships between facial traits and SNPs using the GCTA program. The results of the current study offer an understanding of how facial morphology is influenced by complex genetic structures and provide insights into forensic investigation and population genetics.
Collapse
Affiliation(s)
- Hye-Won Cho
- Department of Medical Sciences, Graduate School, Soonchunhyang University, Asan, Chungnam 31538, Republic of Korea
| | - Hyo-Jeong Ban
- Korea Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Republic of Korea
| | - Seongwon Cha
- Korea Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.
| | - Yong-Bin Eom
- Department of Medical Sciences, Graduate School, Soonchunhyang University, Asan, Chungnam 31538, Republic of Korea; Department of Biomedical Laboratory Science, College of Medical Sciences, Soonchunhyang University, Asan, Chungnam 31538, Republic of Korea.
| |
Collapse
|
13
|
Wu M, Yavuzyiğitoğlu S, Brosens E, Ramdas WD, Kiliç E. Worldwide Incidence of Ocular Melanoma and Correlation With Pigmentation-Related Risk Factors. Invest Ophthalmol Vis Sci 2023; 64:45. [PMID: 37902747 PMCID: PMC10617638 DOI: 10.1167/iovs.64.13.45] [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: 07/27/2023] [Accepted: 10/13/2023] [Indexed: 10/31/2023] Open
Abstract
Purpose The worldwide incidence of ocular melanoma (OM), uveal melanoma (UM), and conjunctival melanoma has last been reported on 15 years ago. Recently, light iris color and four specific single-nucleotide-polymorphisms (SNPs) have been identified as a UM-risk factor. Furthermore, six iris color predicting SNPs have been discovered (IrisPlex). Interestingly, two of these (rs129138329 and rs12203592) are also UM-risk factors. We collected worldwide incidence data of OM and investigated its correlations with iris color, IrisPlex SNPs, and UM-risk SNPs. Methods Cases of OM, as defined by the International Classification of Diseases Oncology C69 (eye), 8720/3 to 8790/3 (malignant melanoma), and 8000 to 8005 (malignant neoplasm), between 1988 and 2012, were extracted from the Cancer Incidence in Five Continents. Incidence rates were age-standardized and their trends were analyzed with joinpoint regression and age period cohort modeling. Frequencies for each country of iris color, IrisPlex SNPs, and UM-risk SNPs were collected from the literature. Results Incidence rates were generally ≥8.0 cases per million person-years in Northern Europe, Western Europe, and Oceania; 2.0 to 7.9 in North America, Eastern Europe, and Southern Europe; and <2.0 in South America, Asia, and Africa. OM incidence correlated with latitude (r = 0.77, P ≤ 0.001) and is expressed as a north-to-south decreasing gradient in Europe. SNP rs12913832 correlated with OM incidence (r = 0.83, P ≤ 0.001), blue iris color (r = 0.56, P ≤ 0.05), green iris color (r = 0.51, P ≤ 0.05), and brown iris color (r = -0.64, P ≤ 0.01). Trends were stable for most countries (28/35). Conclusions OM incidence is highest in populations of European ancestry and lowest in populations of Asian and African ancestry. Overall, trends are stable, and the spatial correlation among OM incidence, iris color, and rs12913832 may support the role of pigmentation-related risk factors in OM development.
Collapse
Affiliation(s)
- Mike Wu
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Serdar Yavuzyiğitoğlu
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Erwin Brosens
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Wishal D. Ramdas
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Emine Kiliç
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - on behalf of the Rotterdam Ocular Melanoma Study Group (ROMS)
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| |
Collapse
|
14
|
Zupanič Pajnič I, Leskovar T, Črešnar M. Eye and hair color prediction of an early medieval adult and subadult skeleton using massive parallel sequencing technology. Int J Legal Med 2023; 137:1629-1638. [PMID: 37284851 PMCID: PMC10421759 DOI: 10.1007/s00414-023-03032-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/24/2023] [Indexed: 06/08/2023]
Abstract
Phenotypic trait prediction in ancient DNA analysis can provide information about the external appearance of individuals from past human populations. Some studies predicting eye and hair color in ancient adult skeletons have been published, but not for ancient subadult skeletons, which are more prone to decay. In this study, eye and hair color were predicted for an early medieval adult skeleton and a subadult skeleton that was anthropologically characterized as a middle-aged man and a subadult of unknown sex about 6 years old. When processing the petrous bones, precautions were taken to prevent contamination with modern DNA. The MillMix tissue homogenizer was used for grinding, 0.5 g of bone powder was decalcified, and DNA was purified in Biorobot EZ1. The PowerQuant System was used for quantification and a customized version of the HIrisPlex panel for massive parallel sequencing (MPS) analysis. Library preparation and templating were performed on the HID Ion Chef Instrument and sequencing on the Ion GeneStudio S5 System. Up to 21 ng DNA/g of powder was obtained from ancient petrous bones. Clean negative controls and no matches with elimination database profiles confirmed no contamination issue. Brown eyes and dark brown or black hair were predicted for the adult skeleton and blue eyes and brown or dark brown hair for the subadult skeleton. The MPS analysis results obtained proved that it is possible to predict hair and eye color not only for an adult from the Early Middle Ages, but also for a subadult skeleton dating to this period.
Collapse
Affiliation(s)
- Irena Zupanič Pajnič
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| | - Tamara Leskovar
- Centre for Interdisciplinary Research in Archaeology, Department of Archaeology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
| | - Matija Črešnar
- Centre for Interdisciplinary Research in Archaeology, Department of Archaeology, Faculty of Arts, University of Ljubljana, Ljubljana, Slovenia
| |
Collapse
|
15
|
Inkret J, Zupanc T, Zupanič Pajnič I. A Multisample Approach in Forensic Phenotyping of Chronological Old Skeletal Remains Using Massive Parallel Sequencing (MPS) Technology. Genes (Basel) 2023; 14:1449. [PMID: 37510353 PMCID: PMC10379588 DOI: 10.3390/genes14071449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/05/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
It is very important to generate phenotypic results that are reliable when processing chronological old skeletal remains for cases involving the identification of missing persons. To improve the success of pigmentation prediction in Second World War victims, three bones from each of the eight skeletons analyzed were included in the study, which makes it possible to generate a consensus profile. The PowerQuant System was used for quantification, the ESI 17 Fast System was used for STR typing, and a customized version of the HIrisPlex panel was used for PCR-MPS. The HID Ion Chef Instrument was used for library preparation and templating. Sequencing was performed with the Ion GeneStudio S5 System. Identical full profiles and identical hair and eye color predictions were achieved from three bones analyzed per skeleton. Blue eye color was predicted in five skeletons and brown in three skeletons. Blond hair color was predicted in one skeleton, blond to dark blond in three skeletons, brown to dark brown in two skeletons, and dark brown to black in two skeletons. The reproducibility and reliability of the results proved the multisample analysis method to be beneficial for phenotyping chronological old skeletons because differences in DNA yields in different bone types provide a greater possibility of obtaining a better-quality consensus profile.
Collapse
Affiliation(s)
- Jezerka Inkret
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| | - Tomaž Zupanc
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| | - Irena Zupanič Pajnič
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| |
Collapse
|
16
|
Aguilar-Velázquez JA, Llamas-de-Dios BJ, Córdova-Mercado MF, Coronado-Ávila CE, Salas-Salas O, López-Quintero A, Ramos-González B, Rangel-Villalobos H. Accuracy of Eye and Hair Color Prediction in Mexican Mestizos from Monterrey City Based on ForenSeq TM DNA Signature Prep. Genes (Basel) 2023; 14:genes14051120. [PMID: 37239480 DOI: 10.3390/genes14051120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/14/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Forensic genomic systems allow simultaneously analyzing identity informative (iiSNPs), ancestry informative (aiSNPs), and phenotype informative (piSNPs) genetic markers. Among these kits, the ForenSeq DNA Signature prep (Verogen) analyzes identity STRs and SNPs as well as 24 piSNPs from the HIrisPlex system to predict the hair and eye color. We report herein these 24 piSNPs in 88 samples from Monterrey City (Northeast, Mexico) based on the ForenSeq DNA Signature prep. Phenotypes were predicted by genotype results with both Universal Analysis Software (UAS) and the web tool of the Erasmus Medical Center (EMC). We observed predominantly brown eyes (96.5%) and black hair (75%) phenotypes, whereas blue eyes, and blond and red hair were not observed. Both UAS and EMC showed high performance in eye color prediction (p ≥ 96.6%), but a lower accuracy was observed for hair color prediction. Overall, UAS hair color predictions showed better performance and robustness than those obtained with the EMC web tool (when hair shade is excluded). Although we employed a threshold (p > 70%), we suggest using the EMC enhanced approach to avoid the exclusion of a high number of samples. Finally, although our results are helpful to employ these genomic tools to predict eye color, caution is suggested for hair color prediction in Latin American (admixed) populations such as those studied herein, principally when no black color is predicted.
Collapse
Affiliation(s)
- José Alonso Aguilar-Velázquez
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara (CUCS-UdeG), Guadalajara 44340, Jalisco, Mexico
- Departamento de Morfología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara (CUCS-UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Blanca Jeannete Llamas-de-Dios
- Licenciatura en Ciencias Forenses, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara (CUCS-UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Miranda Fabiola Córdova-Mercado
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey 64720, Nuevo León, Mexico
| | - Carolina Elena Coronado-Ávila
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey 64720, Nuevo León, Mexico
| | - Orlando Salas-Salas
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey 64720, Nuevo León, Mexico
| | - Andrés López-Quintero
- Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara (CUCS-UdeG), Guadalajara 44340, Jalisco, Mexico
| | - Benito Ramos-González
- Instituto de Criminalística y Servicios Periciales, Fiscalía General de Justicia del Estado de Nuevo León (FGJNL), Monterrey 64720, Nuevo León, Mexico
| | - Héctor Rangel-Villalobos
- Instituto de Investigación en Genética Molecular, Centro Universitario de la Ciénega, Universidad de Guadalajara (CUCI-UdeG), Ocotlán 47820, Jalisco, Mexico
| |
Collapse
|
17
|
Rahat MA, Akbar F, Rasool A, Ilyas M, Rakha A, Shams S, Jelani M, Bibi F, Shirah BH, Abdulkareem AA, Naseer MI, Israr M. Phenotypic Classification of Eye Colour and Developmental Validation of the Irisplex System on Population Living in Malakand Division, Pakistan. Biomedicines 2023; 11:biomedicines11041228. [PMID: 37189847 DOI: 10.3390/biomedicines11041228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
The core objective of forensic DNA typing is developing DNA profiles from biological evidence for personal identification. The present study was designed to check the validation of the IrisPlex system and the Prevalence of eye colour in the Pakhtoon population residing within the Malakand Division. METHODS Eye colour digital photographs and buccal swab samples of 893 individuals of different age groups were collected. Multiplexed SNaPshot single base extension chemistry was used, and the genotypic results were analysed. Snapshot data were used for eye colour prediction through the IrisPlex and FROG-kb tool. RESULTS The results of the present study found brown eye colour to be the most prevalent eye colour in comparison to intermediate and blue coloured. Overall, individuals with brown-coloured eyes possess CT (46.84%) and TT (53.16%) genotypes. Blue eye-coloured individuals are solely of the CC genotype, while individuals of intermediate eye colour carry CT (45.15%) and CC (53.85%) genotypes in rs12913832 SNP in the HERC2 gene. It was also revealed that brown-coloured eyes individuals were dominant among all age groups followed by intermediate and blue. Statistical analysis between particular variables and eye colour showed a significant p-value (<0.05) for rs16891982 SNP in SLC45A2 gene, rs12913832 SNP in HERC2 gene, rs1393350 SNP in SLC45A2, districts and gender. The rest of the SNPs were non-significant with eye colour, respectively. The rs12896399 SNP and SNP rs1800407 were found significant with rs16891982 SNP. The result also demonstrated that the study group differs from the world population based on eye colour. The two eye colour prediction results were compared, and it was discovered that IrisPlex and FROG-Kb had similar higher prediction ratios for Brown and Blue eye colour. CONCLUSIONS The results of the current study revealed brown eye colour to be the most prevalent amongst members of the local population of Pakhtoon ethnicity in the Malakand Division of northern Pakistan. A set of contemporary human DNA samples with known phenotypes are used in this research to evaluate the custom panel's prediction accuracy. With the aid of this forensic test, DNA typing can be supplemented with details about the appearance of the person from whom the sample was taken in cases involving missing persons, ancient human remains, and trace samples. This study may be helpful for future population genetics and forensics studies.
Collapse
Affiliation(s)
- Murad Ali Rahat
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
- Department of Forensic Sciences, University of Swat, Charbagh 19120, Pakistan
| | - Fazal Akbar
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
| | - Akhtar Rasool
- Centre for Biotechnology and Microbiology, University of Swat, Charbagh 19120, Pakistan
| | - Muhammad Ilyas
- Centre for Omic Sciences, Islamia College University Peshawar, Peshawar 25120, Pakistan
| | - Allah Rakha
- Department of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan
| | - Sulaiman Shams
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan
| | - Musharraf Jelani
- Centre for Omic Sciences, Islamia College University Peshawar, Peshawar 25120, Pakistan
| | - Fehmida Bibi
- Special Infectious Agents Unit, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Bader H Shirah
- Department of Neuroscience, King Faisal Specialist Hospital & Research Centre, Jeddah 21589, Saudi Arabia
| | - Angham Abdulrhman Abdulkareem
- Faculty of Science, Department of Biochemistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Imran Naseer
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Muhammad Israr
- Department of Forensic Sciences, University of Swat, Charbagh 19120, Pakistan
| |
Collapse
|
18
|
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: 12] [Impact Index Per Article: 12.0] [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.
Collapse
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
| |
Collapse
|
19
|
Wang H, Yang MA, Wangdue S, Lu H, Chen H, Li L, Dong G, Tsring T, Yuan H, He W, Ding M, Wu X, Li S, Tashi N, Yang T, Yang F, Tong Y, Chen Z, He Y, Cao P, Dai Q, Liu F, Feng X, Wang T, Yang R, Ping W, Zhang Z, Gao Y, Zhang M, Wang X, Zhang C, Yuan K, Ko AMS, Aldenderfer M, Gao X, Xu S, Fu Q. Human genetic history on the Tibetan Plateau in the past 5100 years. SCIENCE ADVANCES 2023; 9:eadd5582. [PMID: 36930720 PMCID: PMC10022901 DOI: 10.1126/sciadv.add5582] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Using genome-wide data of 89 ancient individuals dated to 5100 to 100 years before the present (B.P.) from 29 sites across the Tibetan Plateau, we found plateau-specific ancestry across plateau populations, with substantial genetic structure indicating high differentiation before 2500 B.P. Northeastern plateau populations rapidly showed admixture associated with millet farmers by 4700 B.P. in the Gonghe Basin. High genetic similarity on the southern and southwestern plateau showed population expansion along the Yarlung Tsangpo River since 3400 years ago. Central and southeastern plateau populations revealed extensive genetic admixture within the plateau historically, with substantial ancestry related to that found in southern and southwestern plateau populations. Over the past ~700 years, substantial gene flow from lowland East Asia further shaped the genetic landscape of present-day plateau populations. The high-altitude adaptive EPAS1 allele was found in plateau populations as early as in a 5100-year-old individual and showed a sharp increase over the past 2800 years.
Collapse
Affiliation(s)
- Hongru Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Melinda A. Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- Department of Biology, University of Richmond, Richmond, VA 23173, USA
| | - Shargan Wangdue
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Hongliang Lu
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Honghai Chen
- School of Cultural Heritage, Northwest University, Xi’an 710069, China
| | - Linhui Li
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Guanghui Dong
- Key Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Tinley Tsring
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Haibing Yuan
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Wei He
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Manyu Ding
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing 100871, China
| | - Shuai Li
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Norbu Tashi
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Tsho Yang
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Feng Yang
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Yan Tong
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Zujun Chen
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa 850000, China
| | - Yuanhong He
- School of Archaeology and Museology, Sichuan University, Chengdu 610064, China
- Center for Archaeological Science, Sichuan University, Chengdu 610064, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Tianyi Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Zhaoxia Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Yang Gao
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ming Zhang
- School of Cultural Heritage, Northwest University, Xi’an 710069, China
| | - Xiaoji Wang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chao Zhang
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kai Yuan
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Albert Min-Shan Ko
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
| | - Mark Aldenderfer
- Department of Anthropology and Heritage Studies, University of California, Merced, Merced, CA 95343, USA
| | - Xing Gao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai 201203, China
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing 100044, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
- Shanghai Qi Zhi Institute, Shanghai 200232, China
| |
Collapse
|
20
|
Association between Variants in the OCA2-HERC2 Region and Blue Eye Colour in HERC2 rs12913832 AA and AG Individuals. Genes (Basel) 2023; 14:genes14030698. [PMID: 36980970 PMCID: PMC10048254 DOI: 10.3390/genes14030698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/01/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023] Open
Abstract
The OCA2-HERC2 region is strongly associated with human pigmentation, especially eye colour. The HERC2 SNP rs12913832 is currently the best-known predictor for blue and brown eye colour. However, in a previous study we found that 43 of 166 Norwegians with the brown eye colour genotype rs12913832:AA or AG, did not have the expected brown eye colour. In this study, we carried out massively parallel sequencing of a ~500 kbp HERC2-OCA2 region in 94 rs12913832:AA and AG Norwegians (43 blue-eyed and 51 brown-eyed) to search for novel blue eye colour variants. The new candidate variants were subsequently typed in a Norwegian biobank population (total n = 519) for population specific association analysis. We identified five new variants, rs74409036:A, rs78544415:T, rs72714116:T, rs191109490:C and rs551217952:C, to be the most promising candidates for explaining blue eye colour in individuals with the rs12913832:AA and AG genotype. Additionally, we confirmed the association of the missense variants rs74653330:T and rs121918166:T with blue eye colour, and observed lighter skin colour in rs74653330:T individuals. In total, 37 (86%) of the 43 blue-eyed rs12913832:AA and AG Norwegians could potentially be explained by these seven variants, and we suggest including them in future prediction models.
Collapse
|
21
|
Stasi A, Mir TUG, Pellegrino A, Wani AK, Shukla S. Forty years of research and development on forensic genetics: A bibliometric analysis. Forensic Sci Int Genet 2023; 63:102826. [PMID: 36640637 DOI: 10.1016/j.fsigen.2023.102826] [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: 05/27/2022] [Revised: 12/31/2022] [Accepted: 01/02/2023] [Indexed: 01/05/2023]
Abstract
The current study aims to investigate the research publication trends in the field of forensic genetics using Bibliometric analysis. An extensive search of the Scopus database was conducted to identify scholarly articles on forensic genetics published between 1977 and 2022, and a data set comprising 2945 articles was obtained. The analysis was carried out using VOSviewer, RStudio, MS Excel and MS Access to investigate the annual publication trend, most productive journals, organizations/authors/countries, authorship and citation patterns, most cited documents/articles and co-occurrence of keywords. The results revealed the first article in the field of forensic genetics was published in 1977. By the end of 1999, only 15 articles were published. Since then, there has been a considerable increase in the yearly number of publications and post-2006, there were more than 100 yearly published articles. USA, China, Spain, Germany and United Kingdom were found to be the most productive countries. Among various organizations, the Institute of Legal Medicine, Innsbruck Medical University, Austria was found to be the most productive organization. In terms of the number of publications and citations, Morling N. was found to be the most prolific author. The highest number of articles were published in Forensic Science International: Genetics, contributing about 34% of the total articles published in different sources/journals. The document with the highest number of citations was "HOMER N, 2008, PLOS GENET", with a total of 750 citations. The most frequent keywords were forensic genetics and forensic science, followed by STR, population genetics, DNA, mt-DNA and DNA-typing. The results also revealed that there had been collaborative research among countries, organizations and authors, which helps in the exchange of ideas across disciplines, developing new skills, getting access to financial resources and generating quality results.
Collapse
Affiliation(s)
- Alessandro Stasi
- Mahidol University International College, 999 Phutthamonthon Sai 4 Rd, Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand.
| | - Tahir Ul Gani Mir
- Department of Forensic Science, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
| | - Alfonso Pellegrino
- Sasin School of Management, Chulalongkorn University, Chula soi 12, Wang Mai, Pathum Wan, Bangkok 10330, Thailand.
| | - Atif Khurshid Wani
- Department of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
| | - Saurabh Shukla
- Department of Forensic Science, School of Bioengineering and Biosciences, Lovely Professional University, Phagwara 144411, Punjab, India.
| |
Collapse
|
22
|
Chen Y, Hysi P, Maj C, Heilmann-Heimbach S, Spector TD, Liu F, Kayser M. Genetic prediction of male pattern baldness based on large independent datasets. Eur J Hum Genet 2023; 31:321-328. [PMID: 36336714 PMCID: PMC9995341 DOI: 10.1038/s41431-022-01201-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 11/09/2022] Open
Abstract
Genetic prediction of male pattern baldness (MPB) is important in science and society. Previous genetic MPB prediction models were limited by sparse marker coverage, small sample size, and/or data dependency in the different analytical steps. Here, we present novel models for genetic prediction of MPB based on a large set of markers and large independent subsample sets drawn among 187,435 European subjects. We selected 117 SNP predictors within 85 distinct loci from a list of 270 previously MPB-associated SNPs in 55,573 males of the UK Biobank Study (UKBB). Based on these 117 SNPs with and without age as additional predictor, we trained, by use of different methods, prediction models in a non-overlapping subset of 104,694 UKBB males and tested them in a non-overlapping subset of 26,177 UKBB males. Estimates of prediction accuracy were similar between methods with AUC ranges of 0.725-0.728 for severe, 0.631-0.635 for moderate, 0.598-0.602 for slight, and 0.708-0.711 for no hair loss with age, and slightly lower without, while prediction of any versus no hair loss gave 0.690-0.711 with age and slightly lower without. External validation in an early-onset enriched MPB dataset from the Bonn Study (N = 991) showed improved prediction accuracy without considering age such as AUC of 0.830 for no vs. any hair loss. Because of the large number of markers and the large independent datasets used for the different analytical steps, the newly presented genetic prediction models are the most reliable ones currently available for MPB or any other human appearance trait.
Collapse
Affiliation(s)
- Yan Chen
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Pirro Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Carlo Maj
- Institute for Genomic Statistics and Bioinformatics (IGSB), University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Fan Liu
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| |
Collapse
|
23
|
Bardan F, Higgins D, Austin JJ. A custom hybridisation enrichment forensic intelligence panel to infer biogeographic ancestry, hair and eye colour, and Y chromosome lineage. Forensic Sci Int Genet 2023; 63:102822. [PMID: 36525814 DOI: 10.1016/j.fsigen.2022.102822] [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: 07/13/2022] [Revised: 11/02/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022]
Abstract
Massively parallel sequencing can provide genetic data for hundreds to thousands of loci in a single assay for various types of forensic testing. However, available commercial kits require an initial PCR amplification of short-to-medium sized targets which limits their application for highly degraded DNA. Development and optimisation of large PCR multiplexes also prevents creation of custom panels that target different suites of markers for identity, biogeographic ancestry, phenotype, and lineage markers (Y-chromosome and mtDNA). Hybridisation enrichment, an alternative approach for target enrichment prior to sequencing, uses biotinylated probes to bind to target DNA and has proven successful on degraded and ancient DNA. We developed a customisable hybridisation capture method, that uses individually mixed baits to allow tailored and targeted enrichment to specific forensic questions of interest. To allow collection of forensic intelligence data, we assembled and tested a custom panel of hybridisation baits to infer biogeographic ancestry, hair and eye colour, and paternal lineage (and sex) on modern male and female samples with a range of self-declared ancestries and hair/eye colour combinations. The panel correctly estimated biogeographic ancestry in 9/12 samples (75%) but detected European admixture in three individuals from regions with admixed demographic history. Hair and eye colour were predicted correctly in 83% and 92% of samples respectively, where intermediate eye colour and blond hair were problematic to predict. Analysis of Y-chromosome SNPs correctly assigned sex and paternal haplogroups, the latter complementing and supporting biogeographic ancestry predictions. Overall, we demonstrate the utility of this hybridisation enrichment approach to forensic intelligence testing using a combined suite of biogeographic ancestry, phenotype, and Y-chromosome SNPs for comprehensive biological profiling.
Collapse
Affiliation(s)
- Felicia Bardan
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, South Australia, Australia
| | - Denice Higgins
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, South Australia, Australia; School of Dentistry, Health and Medical Sciences, The University of Adelaide, South Australia, Australia
| | - Jeremy J Austin
- Australian Centre for Ancient DNA, School of Biological Sciences, The University of Adelaide, South Australia, Australia.
| |
Collapse
|
24
|
Watherston J, McNevin D. Skull and long bones – Forensic DNA techniques for historic shipwreck human remains. AUST J FORENSIC SCI 2023. [DOI: 10.1080/00450618.2023.2181395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Affiliation(s)
- J. Watherston
- Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
- Biology Unit, Forensic Science Branch, Nt Police, Fire and Emergency Services, Berrimah, NT, Australia
- College of Health & Human Sciences, Faculty of Science, Charles Darwin University, Casuarina, NT, Australia
| | - D. McNevin
- Centre for Forensic Science, School of Mathematical & Physical Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia
| |
Collapse
|
25
|
Application of Forensic DNA Phenotyping for Prediction of Eye, Hair and Skin Colour in Highly Decomposed Bodies. Healthcare (Basel) 2023; 11:healthcare11050647. [PMID: 36900653 PMCID: PMC10000573 DOI: 10.3390/healthcare11050647] [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: 01/31/2023] [Revised: 02/18/2023] [Accepted: 02/21/2023] [Indexed: 02/25/2023] Open
Abstract
In the last few years, predicting externally visible characteristics (EVCs) by adopting informative DNA molecular markers has become a method in forensic genetics that has increased its value, giving rise to an interesting field called "Forensic DNA Phenotyping" (FDP). The most meaningful forensic applications of EVCs prediction are those in which, having only a DNA sample isolated from highly decomposed remains, it is essential to reconstruct the physical appearance of a person. Through this approach, we set out to evaluate 20 skeletal remains of Italian provenance in order to associate them with as many cases of missing persons as possible. To achieve the intended goal, in this work we applied the HIrisPlex-S multiplex system through the conventional short tandem repeats (STR) method to confirm the expected identity of subjects by evaluating phenotypic features. To investigate the reliability and accuracy of the DNA-based EVCs prediction, pictures of the cases were compared as they were available to researchers. Results showed an overall prediction accuracy greater than 90% for all three phenotypic features-iris, hair, and skin colour-at a probability threshold of 0.7. The experimental analysis showed inconclusive results in only two cases; this is probably due to the characteristics of subjects who had an intermediate eye and hair colour, for which the DNA-based system needs to improve the prediction accuracy.
Collapse
|
26
|
Carlsen L, Holländer O, Danzer MF, Vennemann M, Augustin C. DNA methylation-based age estimation for adults and minors: considering sex-specific differences and non-linear correlations. Int J Legal Med 2023; 137:635-643. [PMID: 36811674 PMCID: PMC10085938 DOI: 10.1007/s00414-023-02967-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 01/31/2023] [Indexed: 02/24/2023]
Abstract
DNA methylation patterns change during human lifetime; thus, they can be used to estimate an individual's age. It is known, however, that correlation between DNA methylation and aging might not be linear and that the sex might influence the methylation status. In this study, we conducted a comparative evaluation of linear and several non-linear regressions, as well as sex-specific versus unisex models. Buccal swab samples from 230 donors aged 1 to 88 years were analyzed using a minisequencing multiplex array. Samples were divided into a training set (n = 161) and a validation set (n = 69). The training set was used for a sequential replacement regression and a simultaneous 10-fold cross-validation. The resulting model was improved by including a cut-off of 20 years, dividing the younger individuals with non-linear from the older individuals with linear dependence between age and methylation status. Sex-specific models were developed and improved prediction accuracy in females but not in males, which might be explained by a small sample set. We finally established a non-linear, unisex model combining the markers EDARADD, KLF14, ELOVL2, FHL2, C1orf132, and TRIM59. While age- and sex-adjustments did not generally improve the performance of our model, we discuss how other models and large cohorts might benefit from such adjustments. Our model showed a cross-validated MAD and RMSE of 4.680 and 6.436 years in the training set and of 4.695 and 6.602 years in the validation set, respectively. We briefly explain how to apply the model for age prediction.
Collapse
Affiliation(s)
- Laura Carlsen
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Olivia Holländer
- Institute of Legal Medicine, University of Münster, Röntgenstraße 23, 48149, Münster, Germany
| | - Moritz Fabian Danzer
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
| | - Marielle Vennemann
- Institute of Legal Medicine, University of Münster, Röntgenstraße 23, 48149, Münster, Germany
| | - Christa Augustin
- Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| |
Collapse
|
27
|
Lim L, Ab Majid AH. Human profiling from STR and SNP analysis of tropical bed bug, Cimex hemipterus, for forensic science. Sci Rep 2023; 13:1506. [PMID: 36707655 PMCID: PMC9883228 DOI: 10.1038/s41598-023-28774-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 01/24/2023] [Indexed: 01/29/2023] Open
Abstract
Tropical bed bugs, Cimex hemipterus, which commonly feeds on human blood, may be useful in forensic applications. However, unlike the common bed bug, Cimex lectularius, there is no information regarding tropical bed bug, C. hemipterus, being studied for its applications in forensics. Thus, in this study, lab-reared post-feeding tropical bed bugs were subjected to Short Tandem Repeat (STR) and Single Nucleotide Polymorphism (SNP) analyses to establish the usage of tropical bed bugs in forensics. Several post-feeding times (0, 5, 14, 30, and 45 days) were tested to determine when a complete human DNA profile could still be obtained after the bugs had taken the blood meal. The results showed that complete STR and SNP profiles could only be obtained from the D0 sample. The profile completeness decreased over time, and partial STR and SNP profiles could be obtained up to 45 days post-blood meal. The generated SNP profiles, complete or partial, were also viable for HIrisPlex-S phenotype prediction. In addition, field-collected bed bugs were also used to examine the viability of the tested STR markers, and the STR markers detected mixed profiles. The findings of this study established that the post-blood meal of tropical bed bugs is a suitable source of human DNA for forensic STR and SNP profiling. Human DNA recovered from bed bugs can be used to identify spatial and temporal relations of events.
Collapse
Affiliation(s)
- Li Lim
- Household and Structural Urban Entomology Laboratory, Vector Control Research Unit, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Minden, Malaysia
| | - Abdul Hafiz Ab Majid
- Household and Structural Urban Entomology Laboratory, Vector Control Research Unit, School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Minden, Malaysia. .,Centre for Insect Systematics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Selangor, Malaysia.
| |
Collapse
|
28
|
Advancement in Human Face Prediction Using DNA. Genes (Basel) 2023; 14:genes14010136. [PMID: 36672878 PMCID: PMC9858985 DOI: 10.3390/genes14010136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/15/2022] [Accepted: 12/21/2022] [Indexed: 01/05/2023] Open
Abstract
The rapid improvements in identifying the genetic factors contributing to facial morphology have enabled the early identification of craniofacial syndromes. Similarly, this technology can be vital in forensic cases involving human identification from biological traces or human remains, especially when reference samples are not available in the deoxyribose nucleic acid (DNA) database. This review summarizes the currently used methods for predicting human phenotypes such as age, ancestry, pigmentation, and facial features based on genetic variations. To identify the facial features affected by DNA, various two-dimensional (2D)- and three-dimensional (3D)-scanning techniques and analysis tools are reviewed. A comparison between the scanning technologies is also presented in this review. Face-landmarking techniques and face-phenotyping algorithms are discussed in chronological order. Then, the latest approaches in genetic to 3D face shape analysis are emphasized. A systematic review of the current markers that passed the threshold of a genome-wide association (GWAS) of single nucleotide polymorphism (SNP)-face traits from the GWAS Catalog is also provided using the preferred reporting items for systematic reviews and meta-analyses (PRISMA), approach. Finally, the current challenges in forensic DNA phenotyping are analyzed and discussed.
Collapse
|
29
|
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
|
30
|
Budowle B, Sajantila A. Revisiting informed consent in forensic genomics in light of current technologies and the times. Int J Legal Med 2023; 137:551-565. [PMID: 36642749 PMCID: PMC9902322 DOI: 10.1007/s00414-023-02947-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/14/2022] [Indexed: 01/17/2023]
Abstract
Informed consent is based on basic ethical principles that should be considered when conducting biomedical and behavioral research involving human subjects. These principles-respect, beneficence, and justice-form the foundations of informed consent which in itself is grounded on three fundamental elements: information, comprehension, and voluntary participation. While informed consent has focused on human subjects and research, the practice has been adopted willingly in the forensic science arena primarily to acquire reference samples from family members to assist in identifying missing persons. With advances in molecular biology technologies, data mining, and access to metadata, it is important to assess whether the past informed consent process and in particular associated risks are concomitant with these increased capabilities. Given the state-of-the-art, areas in which informed consent may need to be modified and augmented are as follows: reference samples from family members in missing persons or unidentified human remains cases; targeted analysis of an individual(s) during forensic genetic genealogy cases to reduce an investigative burden; donors who provide their samples for validation studies (to include population studies and entry into databases that would be applied to forensic statistical calculations) to support implementation of procedures and operations of the forensic laboratory; family members that may contribute samples or obtain genetic information from a molecular autopsy; and use of medical and other acquired samples that could be informative for identification purposes. The informed consent process should cover (1) purpose for collection of samples; (2) process to analyze the samples (to include type of data); (3) benefits (to donor, target, family, community, etc. as applicable); (4) risks (to donor, target, family, community, etc. as applicable); (5) access to data/reports by the donor; (6) sample disposition; (7) removal of data process (i.e., expungement); (8) process to ask questions/assessment of comprehension; (9) follow-up processes; and (10) voluntary, signed, and dated consent. Issues surrounding these topics are discussed with an emphasis on addressing risk factors. Addressing informed consent will allow human subjects to make decisions voluntarily and with autonomy as well as secure the use of samples for intended use.
Collapse
Affiliation(s)
- Bruce Budowle
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland.
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
- Forensic Medicine Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| |
Collapse
|
31
|
Kataria S, Dabas P, Saraswathy KN, Sachdeva MP, Jain S. Investigating the morphology and genetics of scalp and facial hair characteristics for phenotype prediction. Sci Justice 2023; 63:135-148. [PMID: 36631178 DOI: 10.1016/j.scijus.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Microscopic traits and ultrastructure of hair such as cross-sectional shape, pigmentation, curvature, and internal structure help determine the level of variations between and across human populations. Apart from cosmetics and anthropological applications, such as determining species, somatic origin (body area), and biogeographic ancestry, the evidential value of hair has increased with rapid progression in the area of forensic DNA phenotyping (FDP). Individuals differ in the features of their scalp hair (greying, shape, colour, balding, thickness, and density) and facial hair (eyebrow thickness, monobrow, and beard thickness) features. Scalp and facial hair characteristics are genetically controlled and lead to visible inter-individual variations within and among populations of various ethnic origins. Hence, these characteristics can be exploited and made more inclusive in FDP, thereby leading to more comprehensive, accurate, and robust prediction models for forensic purposes. The present article focuses on understanding the genetics of scalp and facial hair characteristics with the goal to develop a more inclusive approach to better understand hair biology by integrating hair microscopy with genetics for genotype-phenotype correlation research.
Collapse
Affiliation(s)
- Suraj Kataria
- Department of Anthropology, University of Delhi, India.
| | - Prashita Dabas
- Amity Institute of Forensic Sciences, Amity University, Noida, Uttar Pradesh, India.
| | | | - M P Sachdeva
- Department of Anthropology, University of Delhi, India.
| | - Sonal Jain
- Department of Anthropology, University of Delhi, India.
| |
Collapse
|
32
|
Ogbunugafor CB, Edge MD. Gattaca as a lens on contemporary genetics: marking 25 years into the film's "not-too-distant" future. Genetics 2022; 222:iyac142. [PMID: 36218390 PMCID: PMC9713434 DOI: 10.1093/genetics/iyac142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
The 1997 film Gattaca has emerged as a canonical pop culture reference used to discuss modern controversies in genetics and bioethics. It appeared in theaters a few years prior to the announcement of the "completion" of the human genome (2000), as the science of human genetics was developing a renewed sense of its social implications. The story is set in a near-future world in which parents can, with technological assistance, influence the genetic composition of their offspring on the basis of predicted life outcomes. The current moment-25 years after the film's release-offers an opportunity to reflect on where society currently stands with respect to the ideas explored in Gattaca. Here, we review and discuss several active areas of genetic research-genetic prediction, embryo selection, forensic genetics, and others-that interface directly with scenes and concepts in the film. On its silver anniversary, we argue that Gattaca remains an important reflection of society's expectations and fears with respect to the ways that genetic science has manifested in the real world. In accompanying supplemental material, we offer some thought questions to guide group discussions inside and outside of the classroom.
Collapse
Affiliation(s)
- C Brandon Ogbunugafor
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA
- Santa Fe Institute, Santa Fe, NM 87501, USA
- Vermont Complex Systems Center, Burlington, VT 05401, USA
| | - Michael D Edge
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
| |
Collapse
|
33
|
Sari O I, Simsek SZ, Filoglu G, Bulbul O. Predicting Eye and Hair Color in a Turkish Population Using the HIrisPlex System. Genes (Basel) 2022; 13:2094. [PMID: 36421769 PMCID: PMC9690125 DOI: 10.3390/genes13112094] [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: 10/07/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 08/27/2023] Open
Abstract
Forensic DNA Phenotyping (FDP) can reveal the appearance of an unknown individual by predicting the ancestry, phenotype (i.e., hair, eye, skin color), and age from DNA obtained at the crime scene. The HIrisPlex system has been developed to simultaneously predict eye and hair color. However, the prediction accuracy of the system needs to be assessed for the tested population before implementing FDP in casework. In this study, we evaluated the performance of the HIrisPlex system on 149 individuals from the Turkish population. We applied the single-based extension (SNaPshot chemistry) method and used the HIrisPlex online tool to test the prediction of the eye and hair colors. The accuracy of the HIrisPlex system was assessed through the calculation of the area under the receiver characteristic operating curves (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The results showed that the proposed method successfully predicted the eye and hair color, especially for blue (100%) and brown (95.60%) eye and black (95.23) and brown (98.94) hair colors. As observed in previous studies, the system failed to predict intermediate eye color, representing 25% in our cohort. The majority of incorrect predictions were observed for blond hair color (40.7%). Previous HIrisPlex studies have also noted difficulties with these phenotypes. Our study shows that the HIrisPlex system can be applied to forensic casework in Turkey with careful interpretation of the data, particularly intermediate eye color and blond hair color.
Collapse
Affiliation(s)
- Ilksen Sari O
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, 34500 Istanbul, Turkey
- Department of Medical Services and Techniques, Vocational School of Health Services, Istanbul Gelisim University, 34310 Istanbul, Turkey
| | - Sumeyye Zulal Simsek
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, 34500 Istanbul, Turkey
| | - Gonul Filoglu
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, 34500 Istanbul, Turkey
| | - Ozlem Bulbul
- Institute of Forensic Sciences and Legal Medicine, Istanbul University-Cerrahpasa, 34500 Istanbul, Turkey
| |
Collapse
|
34
|
Ambroa-Conde A, Girón-Santamaría L, Mosquera-Miguel A, Phillips C, Casares de Cal M, Gómez-Tato A, Álvarez-Dios J, de la Puente M, Ruiz-Ramírez J, Lareu M, Freire-Aradas A. Epigenetic age estimation in saliva and in buccal cells. Forensic Sci Int Genet 2022; 61:102770. [DOI: 10.1016/j.fsigen.2022.102770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/04/2022]
|
35
|
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]
|
36
|
Fesenko DO, Ivanovsky ID, Ivanov PL, Zemskova EY, Agapitova AS, Polyakov SA, Fesenko OE, Filippova MA, Zasedatelev AS. A Biochip for Genotyping Polymorphisms Associated with Eye, Hair, Skin Color, AB0 Blood Group, Sex, Y Chromosome Core Haplogroup, and Its Application to Study the Slavic Population. Mol Biol 2022. [DOI: 10.1134/s0026893322050053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
|
37
|
Melchionda F, Silvestrini B, Robino C, Bini C, Fattorini P, Martinez-Labarga C, De Angelis F, Tagliabracci A, Turchi C. Development and Validation of MPS-Based System for Human Appearance Prediction in Challenging Forensic Samples. Genes (Basel) 2022; 13:genes13101688. [PMID: 36292573 PMCID: PMC9601425 DOI: 10.3390/genes13101688] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/10/2022] [Accepted: 09/16/2022] [Indexed: 11/22/2022] Open
Abstract
Forensic DNA phenotyping (FDP) provides the ability to predict the human external traits from unknown sample donors, directly from minute amounts of DNA found at the crime scene. We developed a MPS multiplex assay, with the aim of genotyping all 41 DNA markers included in the HIrisPlex-S system for simultaneous prediction of eye, hair and skin colours. Forensic samples such as blood, skeletal remains, touch DNA, saliva swab, artificially degraded samples together with individuals with known phenotypes and a set of 2800 M control DNA were sequenced on the Ion Torrent platform in order to evaluate the concordance testing results and the forensic suitability of the 41-plex MPS assay. The panel was evaluated by testing a different number of PCR cycles and the volume of reagents for library preparation. The study demonstrated that full and reliable profiles were obtained with 0.1–5 ng, even with high degraded DNA. The increment of the number of PCR cycles results in an improvement of correctly genotyping and phenotyping for samples with low amounts of degraded DNA but higher frequencies of artefacts were found. The high DNA degradation level did not influence the correct genotyping and phenotyping and the critical parameter affecting the result is the quantity of input DNA. Eye and hair colour was predicted in 92.60% of individuals and skin colour in 85.15% of individuals. The results suggest that this MPS assay is robust, highly sensitive and useful for human pigmentation prediction in the forensic genetic field.
Collapse
Affiliation(s)
- Filomena Melchionda
- Section of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Torrette, 60126 Ancona, Italy
- Correspondence: ; Tel.: +39-071-596-5044
| | - Beatrice Silvestrini
- Section of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Torrette, 60126 Ancona, Italy
- Department of Surgical, Medical, Molecular Pathology, and Critical Area, University of Pisa, 56126 Pisa, Italy
| | - Carlo Robino
- Department of Public Health Sciences and Pediatrics, University of Turin, 10126 Turin, Italy
- S.C. Medicina Legale, AOU Città della Salute e della Scienza, 10126 Turin, Italy
| | - Carla Bini
- Department of Medical and Surgical Sciences, Section of Legal Medicine, University of Bologna, 40126 Bologna, Italy
| | - Paolo Fattorini
- Department of Medicine, Surgery and Health, University of Trieste, Strada di Fiume 447, 34149 Trieste, Italy
| | - Cristina Martinez-Labarga
- Centre of Molecular Anthropology for Ancient DNA Studies, Department of Biology, University of Rome “Tor Vergata”, 00173 Rome, Italy
| | - Flavio De Angelis
- Centre of Molecular Anthropology for Ancient DNA Studies, Department of Biology, University of Rome “Tor Vergata”, 00173 Rome, Italy
| | - Adriano Tagliabracci
- Section of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Torrette, 60126 Ancona, Italy
| | - Chiara Turchi
- Section of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Torrette, 60126 Ancona, Italy
| |
Collapse
|
38
|
Carratto TMT, Moraes VMS, Recalde TSF, Oliveira MLGD, Teixeira Mendes-Junior C. Applications of massively parallel sequencing in forensic genetics. Genet Mol Biol 2022; 45:e20220077. [PMID: 36121926 PMCID: PMC9514793 DOI: 10.1590/1678-4685-gmb-2022-0077] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/15/2022] [Indexed: 11/22/2022] Open
Abstract
Massively parallel sequencing, also referred to as next-generation sequencing, has positively changed DNA analysis, allowing further advances in genetics. Its capability of dealing with low quantity/damaged samples makes it an interesting instrument for forensics. The main advantage of MPS is the possibility of analyzing simultaneously thousands of genetic markers, generating high-resolution data. Its detailed sequence information allowed the discovery of variations in core forensic short tandem repeat loci, as well as the identification of previous unknown polymorphisms. Furthermore, different types of markers can be sequenced in a single run, enabling the emergence of DIP-STRs, SNP-STR haplotypes, and microhaplotypes, which can be very useful in mixture deconvolution cases. In addition, the multiplex analysis of different single nucleotide polymorphisms can provide valuable information about identity, biogeographic ancestry, paternity, or phenotype. DNA methylation patterns, mitochondrial DNA, mRNA, and microRNA profiling can also be analyzed for different purposes, such as age inference, maternal lineage analysis, body-fluid identification, and monozygotic twin discrimination. MPS technology also empowers the study of metagenomics, which analyzes genetic material from a microbial community to obtain information about individual identification, post-mortem interval estimation, geolocation inference, and substrate analysis. This review aims to discuss the main applications of MPS in forensic genetics.
Collapse
Affiliation(s)
- Thássia Mayra Telles Carratto
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | - Vitor Matheus Soares Moraes
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| | | | | | - Celso Teixeira Mendes-Junior
- Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Departamento de Química, Laboratório de Pesquisas Forenses e Genômicas, Ribeirão Preto, SP, Brazil
| |
Collapse
|
39
|
Lazaridis I, Alpaslan-Roodenberg S, Acar A, Açıkkol A, Agelarakis A, Aghikyan L, Akyüz U, Andreeva D, Andrijašević G, Antonović D, Armit I, Atmaca A, Avetisyan P, Aytek Aİ, Bacvarov K, Badalyan R, Bakardzhiev S, Balen J, Bejko L, Bernardos R, Bertsatos A, Biber H, Bilir A, Bodružić M, Bonogofsky M, Bonsall C, Borić D, Borovinić N, Bravo Morante G, Buttinger K, Callan K, Candilio F, Carić M, Cheronet O, Chohadzhiev S, Chovalopoulou ME, Chryssoulaki S, Ciobanu I, Čondić N, Constantinescu M, Cristiani E, Culleton BJ, Curtis E, Davis J, Demcenco TI, Dergachev V, Derin Z, Deskaj S, Devejyan S, Djordjević V, Duffett Carlson KS, Eccles LR, Elenski N, Engin A, Erdoğan N, Erir-Pazarcı S, Fernandes DM, Ferry M, Freilich S, Frînculeasa A, Galaty ML, Gamarra B, Gasparyan B, Gaydarska B, Genç E, Gültekin T, Gündüz S, Hajdu T, Heyd V, Hobosyan S, Hovhannisyan N, Iliev I, Iliev L, Iliev S, İvgin İ, Janković I, Jovanova L, Karkanas P, Kavaz-Kındığılı B, Kaya EH, Keating D, Kennett DJ, Deniz Kesici S, Khudaverdyan A, Kiss K, Kılıç S, Klostermann P, Kostak Boca Negra Valdes S, Kovačević S, Krenz-Niedbała M, Krznarić Škrivanko M, Kurti R, Kuzman P, Lawson AM, Lazar C, Leshtakov K, Levy TE, Liritzis I, Lorentz KO, Łukasik S, Mah M, Mallick S, Mandl K, Martirosyan-Olshansky K, Matthews R, Matthews W, McSweeney K, Melikyan V, Micco A, Michel M, Milašinović L, Mittnik A, Monge JM, Nekhrizov G, Nicholls R, Nikitin AG, Nikolov V, Novak M, Olalde I, Oppenheimer J, Osterholtz A, Özdemir C, Özdoğan KT, Öztürk N, Papadimitriou N, Papakonstantinou N, Papathanasiou A, Paraman L, Paskary EG, Patterson N, Petrakiev I, Petrosyan L, Petrova V, Philippa-Touchais A, Piliposyan A, Pocuca Kuzman N, Potrebica H, Preda-Bălănică B, Premužić Z, Price TD, Qiu L, Radović S, Raeuf Aziz K, Rajić Šikanjić P, Rasheed Raheem K, Razumov S, Richardson A, Roodenberg J, Ruka R, Russeva V, Şahin M, Şarbak A, Savaş E, Schattke C, Schepartz L, Selçuk T, Sevim-Erol A, Shamoon-Pour M, Shephard HM, Sideris A, Simalcsik A, Simonyan H, Sinika V, Sirak K, Sirbu G, Šlaus M, Soficaru A, Söğüt B, Sołtysiak A, Sönmez-Sözer Ç, Stathi M, Steskal M, Stewardson K, Stocker S, Suata-Alpaslan F, Suvorov A, Szécsényi-Nagy A, Szeniczey T, Telnov N, Temov S, Todorova N, Tota U, Touchais G, Triantaphyllou S, Türker A, Ugarković M, Valchev T, Veljanovska F, Videvski Z, Virag C, Wagner A, Walsh S, Włodarczak P, Workman JN, Yardumian A, Yarovoy E, Yavuz AY, Yılmaz H, Zalzala F, Zettl A, Zhang Z, Çavuşoğlu R, Rohland N, Pinhasi R, Reich D. The genetic history of the Southern Arc: A bridge between West Asia and Europe. Science 2022; 377:eabm4247. [PMID: 36007055 PMCID: PMC10064553 DOI: 10.1126/science.abm4247] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
By sequencing 727 ancient individuals from the Southern Arc (Anatolia and its neighbors in Southeastern Europe and West Asia) over 10,000 years, we contextualize its Chalcolithic period and Bronze Age (about 5000 to 1000 BCE), when extensive gene flow entangled it with the Eurasian steppe. Two streams of migration transmitted Caucasus and Anatolian/Levantine ancestry northward, and the Yamnaya pastoralists, formed on the steppe, then spread southward into the Balkans and across the Caucasus into Armenia, where they left numerous patrilineal descendants. Anatolia was transformed by intra-West Asian gene flow, with negligible impact of the later Yamnaya migrations. This contrasts with all other regions where Indo-European languages were spoken, suggesting that the homeland of the Indo-Anatolian language family was in West Asia, with only secondary dispersals of non-Anatolian Indo-Europeans from the steppe.
Collapse
Affiliation(s)
- Iosif Lazaridis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Songül Alpaslan-Roodenberg
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Ayşe Acar
- Department of Anthropology, Faculty of Letters, Mardin Artuklu University, 47510 Artuklu, Mardin, Turkey
| | - Ayşen Açıkkol
- Department of Anthropology, Faculty of Letters, Sivas Cumhuriyet University, 58140 Sivas, Turkey
| | | | - Levon Aghikyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | - Uğur Akyüz
- Samsun Museum of Archeology and Ethnography, Kale Mahallesi, Merkez, İlkadım, 55030 Samsun, Turkey
| | | | | | | | - Ian Armit
- Department of Archaeology, University of York, York YO1 7EP, UK
| | - Alper Atmaca
- Amasya Archaeology Museum, Mustafa Kemal Paşa Caddesi, 05000 Amasya, Turkey
| | - Pavel Avetisyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | - Ahmet İhsan Aytek
- Department of Anthropology, Faculty of Arts and Science, Burdur Mehmet Akif University, 15100 Burdur, Turkey
| | - Krum Bacvarov
- National Institute of Archaeology and Museum, Bulgarian Academy of Sciences, 1000 Sofia, Bulgaria
| | - Ruben Badalyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | | | | | - Lorenc Bejko
- Department of Archaeology and Heritage Studies, University of Tirana, 1010 Tirana, Albania
| | - Rebecca Bernardos
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Andreas Bertsatos
- Department of Animal and Human Physiology, Faculty of Biology, School of Sciences, National and Kapodistrian University of Athens, 10679 Athens, Greece
| | - Hanifi Biber
- Department of Archaeology, Faculty of Humanities, Van Yüzüncü Yıl University, 65090 Tuşba, Van, Turkey
| | - Ahmet Bilir
- Department of Archaeology, Faculty of Science and Letters, Düzce University, 81620 Düzce, Turkey
| | | | | | - Clive Bonsall
- School of History, Classics and Archaeology, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Dušan Borić
- The Italian Academy for Advanced Studies in America, Columbia University, New York, NY 10027, USA
| | - Nikola Borovinić
- Center for Conservation and Archaeology of Montenegro, 81250 Cetinje, Montenegro
| | | | - Katharina Buttinger
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Kim Callan
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | | | - Mario Carić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, 10000 Zagreb, Croatia
| | - Olivia Cheronet
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Stefan Chohadzhiev
- Department of Archaeology, University of Veliko Tarnovo "St. Cyril and St. Methodius," 5003 Veliko Tarnovo, Bulgaria
| | - Maria-Eleni Chovalopoulou
- Department of Animal and Human Physiology, Faculty of Biology, School of Sciences, National and Kapodistrian University of Athens, 10679 Athens, Greece
| | - Stella Chryssoulaki
- Hellenic Ministry of Culture and Sports, Ephorate of Antiquities of Piraeus and the Islands, 10682 Piraeus, Greece
| | - Ion Ciobanu
- "Orheiul Vechi" Cultural-Natural Reserve, Institute of Bioarchaeological and Ethnocultural Research, 3552 Butuceni, Moldova.,National Archaeological Agency, 2012 Chișinău, Moldova
| | | | | | - Emanuela Cristiani
- Department of Oral and Maxillo-Facial Sciences, Sapienza University of Rome, 00161 Rome, Italy
| | - Brendan J Culleton
- Institutes of Energy and the Environment, The Pennsylvania State University, University Park, PA 16802, USA
| | - Elizabeth Curtis
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Jack Davis
- Department of Classics, University of Cincinnati, Cincinnati, OH 45221, USA
| | | | - Valentin Dergachev
- Center of Archaeology, Institute of Cultural Heritage, Academy of Science of Moldova, 2001 Chișinău, Moldova
| | - Zafer Derin
- Department of Archaeology, Faculty of Letters, Ege University, 35100 Bornova-Izmir, Turkey
| | - Sylvia Deskaj
- Museum of Anthropological Archaeology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Seda Devejyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | | | | | - Laurie R Eccles
- Human Paleoecology and Isotope Geochemistry Lab, Department of Anthropology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Nedko Elenski
- Regional Museum of History - Veliko Tarnovo, 5000 Veliko Tarnovo, Bulgaria
| | - Atilla Engin
- Department of Archaeology, Faculty of Science and Letters, Gaziantep University, 27310 Gaziantep, Turkey
| | - Nihat Erdoğan
- Mardin Archaeological Museum, Şar, Cumhuriyet Meydanı üstü, 47100 Artuklu, Mardin, Turkey
| | | | - Daniel M Fernandes
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria.,Research Centre for Anthropology and Health (CIAS), Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal
| | - Matthew Ferry
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Suzanne Freilich
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Alin Frînculeasa
- Prahova County Museum of History and Archaeology, 100042 Ploiești, Romania
| | - Michael L Galaty
- Museum of Anthropological Archaeology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Beatriz Gamarra
- Institut Català de Paleoecologia Humana i Evolució Social, 43007 Tarragona, Spain.,Departament d'Història i Història de l'Art, Universitat Rovira i Virgili, 43002 Tarragona, Spain.,School of Archaeology and Earth Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - Boris Gasparyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | | | - Elif Genç
- Department of Archaeology, Faculty of Science and Letters, Çukurova University, 01330 Balçalı-Sarıçam-Adana, Turkey
| | - Timur Gültekin
- Department of Anthropology, Faculty of Humanities, Ankara University, 06100 Sıhhiye, Ankara, Turkey
| | - Serkan Gündüz
- Department of Archaeology, Faculty of Science and Letters, Bursa Uludağ University, 16059 Görükle, Bursa, Turkey
| | - Tamás Hajdu
- Department of Biological Anthropology, Institute of Biology, Eötvös Loránd University, 1053 Budapest, Hungary
| | - Volker Heyd
- Department of Cultures, University of Helsinki, 00100 Helsinki, Finland
| | - Suren Hobosyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | - Nelli Hovhannisyan
- Department of Ecology and Nature Protection, Yerevan State University, 0025 Yerevan, Armenia
| | - Iliya Iliev
- Yambol Regional Historical Museum, 8600 Yambol, Bulgaria
| | - Lora Iliev
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | | | - İlkay İvgin
- Ministry of Culture and Tourism, İsmet İnönü Bulvarı, 06100 Emek, Ankara, Turkey
| | - Ivor Janković
- Centre for Applied Bioanthropology, Institute for Anthropological Research, 10000 Zagreb, Croatia
| | - Lence Jovanova
- Museum of the City of Skopje, 1000 Skopje, North Macedonia
| | - Panagiotis Karkanas
- Malcolm H. Wiener Laboratory, American School of Classical Studies at Athens, 10676 Athens, Greece
| | - Berna Kavaz-Kındığılı
- Department of Archaeology, Faculty of Letters, Atatürk University, 25100 Erzurum, Turkey
| | - Esra Hilal Kaya
- Muğla Archaeological Museum and Yatağan Thermal Power Generation Company, Rescue Excavations, 48000 Muğla, Turkey
| | - Denise Keating
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Douglas J Kennett
- Institutes of Energy and the Environment, The Pennsylvania State University, University Park, PA 16802, USA.,Department of Anthropology, University of California, Santa Barbara, Santa Barbara, CA 93106, USA
| | - Seda Deniz Kesici
- Bodrum Museum of Underwater Archeology, Çarşı Neighbourhood, 48400 Bodrum, Muğla, Turkey
| | | | - Krisztián Kiss
- Department of Biological Anthropology, Institute of Biology, Eötvös Loránd University, 1053 Budapest, Hungary.,Department of Anthropology, Hungarian Natural History Museum, 1117 Budapest, Hungary
| | - Sinan Kılıç
- Department of Archaeology, Faculty of Humanities, Van Yüzüncü Yıl University, 65090 Tuşba, Van, Turkey
| | - Paul Klostermann
- Department of Anthropology, Natural History Museum Vienna, 1010 Vienna, Austria
| | | | | | | | | | - Rovena Kurti
- Prehistory Department, Albanian Institute of Archaeology, Academy of Albanian Studies, 1000 Tirana, Albania
| | - Pasko Kuzman
- National Museum in Ohrid, 6000 Ohrid, North Macedonia
| | - Ann Marie Lawson
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Catalin Lazar
- ArchaeoSciences Division, Research Institute of the University of Bucharest, University of Bucharest, 050663 Bucharest, Romania
| | - Krassimir Leshtakov
- Department of Archaeology, St. Kliment Ohridski University of Sofia, 1504 Sofia, Bulgaria
| | - Thomas E Levy
- Department of Anthropology, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ioannis Liritzis
- Key Research Institute of Yellow River Civilization and Sustainable Development and the Collaborative Innovation Center on Yellow River Civilization of Henan Province, Laboratory of Yellow River Cultural Heritage, Henan University, 475001 Kaifeng, China.,European Academy of Sciences and Arts, 5020 Salzburg, Austria
| | - Kirsi O Lorentz
- Science and Technology in Archaeology and Culture Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus
| | - Sylwia Łukasik
- Faculty of Biology, Adam Mickiewicz University in Poznań, 61-614 Poznań, Poland
| | - Matthew Mah
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA.,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Kirsten Mandl
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | | | - Roger Matthews
- Department of Archaeology, University of Reading, Reading RG6 6AB, UK
| | - Wendy Matthews
- Department of Archaeology, University of Reading, Reading RG6 6AB, UK
| | - Kathleen McSweeney
- School of History, Classics and Archaeology, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Varduhi Melikyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | - Adam Micco
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Megan Michel
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | | | - Alissa Mittnik
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Janet M Monge
- University of Pennsylvania Museum of Archaeology and Anthropology, Philadelphia, PA 19104, USA
| | - Georgi Nekhrizov
- National Institute of Archaeology and Museum, Bulgarian Academy of Sciences, 1000 Sofia, Bulgaria
| | - Rebecca Nicholls
- School of Archaeological and Forensic Sciences, Faculty of Life Sciences, University of Bradford, Bradford BD7 1DP, UK
| | - Alexey G Nikitin
- Department of Biology, Grand Valley State University, Allendale, MI 49401, USA
| | - Vassil Nikolov
- National Institute of Archaeology and Museum, Bulgarian Academy of Sciences, 1000 Sofia, Bulgaria
| | - Mario Novak
- Centre for Applied Bioanthropology, Institute for Anthropological Research, 10000 Zagreb, Croatia
| | - Iñigo Olalde
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,BIOMICs Research Group, University of the Basque Country UPV/EHU, 01006 Vitoria-Gasteiz, Spain
| | - Jonas Oppenheimer
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Anna Osterholtz
- Department of Anthropology and Middle Eastern Cultures, Mississippi State University, Mississippi State, MS 39762, USA
| | - Celal Özdemir
- Amasya Archaeology Museum, Mustafa Kemal Paşa Caddesi, 05000 Amasya, Turkey
| | - Kadir Toykan Özdoğan
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Nurettin Öztürk
- Department of Archaeology, Faculty of Letters, Atatürk University, 25100 Erzurum, Turkey
| | | | - Niki Papakonstantinou
- Faculty of Philosophy, School of History and Archaeology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Anastasia Papathanasiou
- Ephorate of Paleoantropology and Speleology, Greek Ministry of Culture, 11636 Athens, Greece
| | | | | | - Nick Patterson
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Ilian Petrakiev
- Regional Museum of History - Veliko Tarnovo, 5000 Veliko Tarnovo, Bulgaria
| | - Levon Petrosyan
- Institute of Archaeology and Ethnography, NAS RA, 0025 Yerevan, Armenia
| | - Vanya Petrova
- Department of Archaeology, St. Kliment Ohridski University of Sofia, 1504 Sofia, Bulgaria
| | | | - Ashot Piliposyan
- Department of Armenian History, Armenian State Pedagogical University After Khachatur Abovyan, 0010 Yerevan, Armenia
| | | | - Hrvoje Potrebica
- Department of Archaeology, Faculty of Humanities and Social Sciences, University of Zagreb, 10000 Zagreb, Croatia
| | | | | | - T Douglas Price
- Laboratory for Archaeological Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Lijun Qiu
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Siniša Radović
- Institute for Quaternary Paleontology and Geology, Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
| | - Kamal Raeuf Aziz
- Sulaymaniyah Directorate of Antiquities and Heritage, 46010 Sulaymaniyah, Iraq
| | - Petra Rajić Šikanjić
- Centre for Applied Bioanthropology, Institute for Anthropological Research, 10000 Zagreb, Croatia
| | | | - Sergei Razumov
- Pridnestrovian University named after Taras Shevchenko, 3300 Tiraspol, Moldova
| | - Amy Richardson
- Department of Archaeology, University of Reading, Reading RG6 6AB, UK
| | - Jacob Roodenberg
- The Netherlands Institute for the Near East, 2311 Leiden, Netherlands
| | - Rudenc Ruka
- Prehistory Department, Albanian Institute of Archaeology, Academy of Albanian Studies, 1000 Tirana, Albania
| | - Victoria Russeva
- Institute of Experimental Morphology, Pathology and Archeology with Museum, Bulgarian Academy of Science, 1113 Sofia, Bulgaria
| | - Mustafa Şahin
- Department of Archaeology, Faculty of Science and Letters, Bursa Uludağ University, 16059 Görükle, Bursa, Turkey
| | - Ayşegül Şarbak
- Department of Anthropology, Faculty of Science and Letters, Hitit University, 19040 Çorum, Turkey
| | - Emre Savaş
- Bodrum Museum of Underwater Archeology, Çarşı Neighbourhood, 48400 Bodrum, Muğla, Turkey
| | - Constanze Schattke
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Lynne Schepartz
- School of Anatomical Sciences, The University of the Witwatersrand, 2193 Johannesburg, South Africa
| | - Tayfun Selçuk
- Bodrum Museum of Underwater Archeology, Çarşı Neighbourhood, 48400 Bodrum, Muğla, Turkey
| | - Ayla Sevim-Erol
- Department of Anthropology, Faculty of Language and History - Geography, Ankara University, 06100 Sıhhiye, Ankara, Turkey
| | - Michel Shamoon-Pour
- Department of Anthropology, Binghamton University, Binghamton, NY 13902, USA
| | | | - Athanasios Sideris
- Institute of Classical Archaeology, Charles University, 11636 Prague, Czechia
| | - Angela Simalcsik
- "Orheiul Vechi" Cultural-Natural Reserve, Institute of Bioarchaeological and Ethnocultural Research, 3552 Butuceni, Moldova.,"Olga Necrasov" Centre of Anthropological Research, Romanian Academy Iași Branch, 2012 Iaşi Romania
| | - Hakob Simonyan
- Scientific Research Center of the Historical and Cultural Heritage, 0010 Yerevan, Armenia
| | - Vitalij Sinika
- Pridnestrovian University named after Taras Shevchenko, 3300 Tiraspol, Moldova
| | - Kendra Sirak
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Ghenadie Sirbu
- Thracology Scientific Research Laboratory of the State University of Moldova, Department of Academic Management, Academy of Science of Moldova, 2009 Chișinău, Moldova
| | - Mario Šlaus
- Anthropological Center of the Croatian Academy of Sciences and Arts, 10000 Zagreb, Croatia
| | - Andrei Soficaru
- "Francisc I. Rainer" Institute of Anthropology, 050711 Bucharest, Romania
| | - Bilal Söğüt
- Department of Archaeology, Faculty of Science and Arts, Pamukkale University, 20070 Denizli, Turkey
| | | | - Çilem Sönmez-Sözer
- Department of Anthropology, Faculty of Language and History - Geography, Ankara University, 06100 Sıhhiye, Ankara, Turkey
| | - Maria Stathi
- Ephorate of Antiquities of East Attica, Ministry of Culture and Sports, 10682 Athens, Greece
| | - Martin Steskal
- Austrian Archaeological Institute at the Austrian Academy of Sciences, 1190 Vienna, Austria
| | - Kristin Stewardson
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Sharon Stocker
- Department of Classics, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Fadime Suata-Alpaslan
- Department of Anthropology, Faculty of Letters, Istanbul University, 34134 Istanbul, Turkey
| | - Alexander Suvorov
- Department of Cultures, University of Helsinki, 00100 Helsinki, Finland
| | - Anna Szécsényi-Nagy
- Institute of Archaeogenomics, Research Centre for the Humanities, Eötvös Loránd Research Network, 1097 Budapest, Hungary
| | - Tamás Szeniczey
- Department of Biological Anthropology, Institute of Biology, Eötvös Loránd University, 1053 Budapest, Hungary
| | - Nikolai Telnov
- Pridnestrovian University named after Taras Shevchenko, 3300 Tiraspol, Moldova
| | - Strahil Temov
- Archaeology Museum of North Macedonia, 1000 Skopje, North Macedonia
| | - Nadezhda Todorova
- Department of Archaeology, St. Kliment Ohridski University of Sofia, 1504 Sofia, Bulgaria
| | - Ulsi Tota
- Prehistory Department, Albanian Institute of Archaeology, Academy of Albanian Studies, 1000 Tirana, Albania.,Culture and Patrimony Department, University of Avignon, F-84029 Avignon, France
| | - Gilles Touchais
- Department of the History of Art and Archaeology, Université Paris 1 Panthéon-Sorbonne, 75006 Paris, France
| | - Sevi Triantaphyllou
- Faculty of Philosophy, School of History and Archaeology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Atila Türker
- Department of Archaeology, Faculty of Science and Letters, Ondokuz Mayıs University, 55139 Atakum-Samsun, Turkey
| | | | - Todor Valchev
- Yambol Regional Historical Museum, 8600 Yambol, Bulgaria
| | | | - Zlatko Videvski
- Archaeology Museum of North Macedonia, 1000 Skopje, North Macedonia
| | | | - Anna Wagner
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Sam Walsh
- School of Natural Sciences, University of Central Lancashire, Preston PR1 2HE, UK
| | - Piotr Włodarczak
- Institute of Archaeology and Ethnology, Polish Academy of Sciences, 31-016 Kraków, Poland
| | - J Noah Workman
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Aram Yardumian
- Department of History and Social Sciences, Bryn Athyn College, Bryn Athyn, PA 19009, USA.,Penn Museum, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Evgenii Yarovoy
- History of the Ancient World and Middle Ages Department, Moscow Region State University, Moscow Region, 141014 Mytishi, Russia
| | - Alper Yener Yavuz
- Department of Anthropology, Burdur Mehmet Akif Ersoy University, Istiklal Campus, 15100 Burdur, Turkey
| | - Hakan Yılmaz
- Department of Archaeology, Faculty of Humanities, Van Yüzüncü Yıl University, 65090 Tuşba, Van, Turkey
| | - Fatma Zalzala
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Anna Zettl
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria
| | - Zhao Zhang
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Rafet Çavuşoğlu
- Department of Archaeology, Faculty of Humanities, Van Yüzüncü Yıl University, 65090 Tuşba, Van, Turkey
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, 1030 Vienna, Austria.,Human Evolution and Archaeological Sciences, University of Vienna, 1030 Vienna, Austria
| | - David Reich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.,Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.,Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA.,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| |
Collapse
|
40
|
Zupanič Pajnič I, Zupanc T, Leskovar T, Črešnar M, Fattorini P. Eye and Hair Color Prediction of Ancient and Second World War Skeletal Remains Using a Forensic PCR-MPS Approach. Genes (Basel) 2022; 13:genes13081432. [PMID: 36011343 PMCID: PMC9407562 DOI: 10.3390/genes13081432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/01/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
To test the usefulness of the forensic PCR-MPS approach to eye and hair color prediction for aged skeletons, a customized version of the PCR-MPS HIrisPlex panel was used on two sets of samples. The first set contained 11 skeletons dated from the 3rd to the 18th centuries AD, and for each of them at least four bone types were analyzed (for a total of 47 samples). In the second set, 24 skeletons from the Second World War were analyzed, and only petrous bones from the skulls were tested. Good-quality libraries were achieved in 83.3% of the cases for the ancient skeletons and in all Second World War petrous bones, with 94.7% and 100% of the markers, respectively, suitable for SNP typing. Consensus typing was achieved for about 91.7% of the markers in 10 out of 11 ancient skeletons, and the HIrisPlex-S webtool was then used to generate phenotypic predictions. Full predictions were achieved for 3 (27.3%) ancient skeletons and 12 (50%) Second World War petrous bones. In the remaining cases, different levels of AUC (area under the receiver operating curve) loss were computed because of no available data (NA) for 8.3% of markers in ancient skeletons and 4.2% of markers in Second World War petrous bones. Although the PCR-based approach has been replaced with new techniques in ancient DNA studies, the results show that customized forensic technologies can be successfully applied to aged bone remains, highlighting the role of the template in the success of PCR-MPS analysis. However, because several typical errors of ancient DNA sequencing were scored, replicate tests and accurate evaluation by an expert remain indispensable tools.
Collapse
Affiliation(s)
- Irena Zupanič Pajnič
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| | - Tomaž Zupanc
- Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia
| | - Tamara Leskovar
- Department of Archaeology, Faculty of Arts, University of Ljubljana, Zavetiška 5, 1000 Ljubljana, Slovenia
| | - Matija Črešnar
- Department of Archaeology, Faculty of Arts, University of Ljubljana, Zavetiška 5, 1000 Ljubljana, Slovenia
| | - Paolo Fattorini
- Department of Medicine, Surgery and Health, University of Trieste, Strada per Fiume 447, 34149 Trieste, Italy
- Correspondence: ; Tel.: +39-040-399-3265
| |
Collapse
|
41
|
Hohl DM, González R, Di Santo Meztler GP, Patiño-Rico J, Dejean C, Avena S, Gutiérrez MDLÁ, Catanesi CI. Applicability of the IrisPlex system for eye color prediction in an admixed population from Argentina. Ann Hum Genet 2022; 86:297-327. [PMID: 35946314 DOI: 10.1111/ahg.12480] [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: 10/12/2021] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 11/29/2022]
Abstract
Eye color prediction based on an individual's genetic information is of interest in the field of forensic genetics. In recent years, researchers have studied different genes and markers associated with this externally visible characteristic and have developed methods for its prediction. The IrisPlex represents a validated tool for homogeneous populations, though its applicability in populations of mixed ancestry is limited, mainly regarding the prediction of intermediate eye colors. With the aim of validating the applicability of this system in an admixed population from Argentina (n = 302), we analyzed the six single nucleotide variants used in that multiplex for eye color and four additional SNPs, and evaluated its prediction ability. We also performed a genotype-phenotype association analysis. This system proved to be useful when dealing with the extreme ends of the eye color spectrum (blue and brown) but presented difficulties in determining the intermediate phenotypes (green), which were found in a large proportion of our population. We concluded that these genetic tools should be used with caution in admixed populations and that more studies are required in order to improve the prediction of intermediate phenotypes.
Collapse
Affiliation(s)
- Diana María Hohl
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina
| | - Rebeca González
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina
| | - Gabriela Paula Di Santo Meztler
- Centro de Investigación de Proteínas Vegetales (CIPROVE-Centro Asociado CICPBA-UNLP), Depto. de Cs. Biológicas, Facultad de Cs. Exactas, Universidad Nacional de La Plata (UNLP), La Plata, Buenos Aires, Argentina
| | - Jessica Patiño-Rico
- Centro de Ciencias Naturales, Ambientales y Antropológicas, Universidad Maimónides, Buenos Aires, Argentina
| | - Cristina Dejean
- Centro de Ciencias Naturales, Ambientales y Antropológicas, Universidad Maimónides, Buenos Aires, Argentina.,Universidad de Buenos Aires, Facultad de Filosofía y Letras, Instituto de Ciencias Antropológicas (ICA), Sección Antropología Biológica, Buenos Aires, Argentina
| | - Sergio Avena
- Centro de Ciencias Naturales, Ambientales y Antropológicas, Universidad Maimónides, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Buenos Aires, Argentina
| | - María De Los Ángeles Gutiérrez
- Centro de Investigaciones del Medioambiente CIM, Facultad de Ciencias Exactas-CONICET, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
| | - Cecilia Inés Catanesi
- Laboratorio de Diversidad Genética, Instituto Multidisciplinario de Biología Celular IMBICE (CONICET-UNLP-CIC), La Plata, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Buenos Aires, Argentina.,Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
| |
Collapse
|
42
|
Jobling MA. Forensic genetics through the lens of Lewontin: population structure, ancestry and race. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200422. [PMID: 35430883 PMCID: PMC9014189 DOI: 10.1098/rstb.2020.0422] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/28/2022] [Indexed: 12/13/2022] Open
Abstract
In his famous 1972 paper, Richard Lewontin used 'classical' protein-based markers to show that greater than 85% of human genetic diversity was contained within, rather than between, populations. At that time, these same markers also formed the basis of forensic technology aiming to identify individuals. This review describes the evolution of forensic genetic methods into DNA profiling, and how the field has accounted for the apportionment of genetic diversity in considering the weight of forensic evidence. When investigative databases fail to provide a match to a crime-scene profile, specific markers can be used to seek intelligence about a suspect: these include inferences on population of origin (biogeographic ancestry) and externally visible characteristics, chiefly pigmentation of skin, hair and eyes. In this endeavour, ancestry and phenotypic variation are closely entangled. The markers used show patterns of inter- and intrapopulation diversity that are very atypical compared to the genome as a whole, and reinforce an apparent link between ancestry and racial divergence that is not systematically present otherwise. Despite the legacy of Lewontin's result, therefore, in a major area in which genetics coincides with issues of public interest, methods tend to exaggerate human differences and could thereby contribute to the reification of biological race. This article is part of the theme issue 'Celebrating 50 years since Lewontin's apportionment of human diversity'.
Collapse
Affiliation(s)
- Mark A. Jobling
- Department of Genetics and Genome Biology, University of Leicester, University Road, Leicester LE1 7RH, UK
| |
Collapse
|
43
|
The genomic origins of the world's first farmers. Cell 2022; 185:1842-1859.e18. [PMID: 35561686 PMCID: PMC9166250 DOI: 10.1016/j.cell.2022.04.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/04/2022] [Accepted: 04/06/2022] [Indexed: 11/24/2022]
Abstract
The precise genetic origins of the first Neolithic farming populations in Europe and Southwest Asia, as well as the processes and the timing of their differentiation, remain largely unknown. Demogenomic modeling of high-quality ancient genomes reveals that the early farmers of Anatolia and Europe emerged from a multiphase mixing of a Southwest Asian population with a strongly bottlenecked western hunter-gatherer population after the last glacial maximum. Moreover, the ancestors of the first farmers of Europe and Anatolia went through a period of extreme genetic drift during their westward range expansion, contributing highly to their genetic distinctiveness. This modeling elucidates the demographic processes at the root of the Neolithic transition and leads to a spatial interpretation of the population history of Southwest Asia and Europe during the late Pleistocene and early Holocene.
Collapse
|
44
|
Lan Q, Zhao C, Chen C, Xu H, Fang Y, Yao H, Zhu B. Forensic Feature Exploration and Comprehensive Genetic Insights Into Yugu Ethnic Minority and Northern Han Population via a Novel NGS-Based Marker Set. Front Genet 2022; 13:816737. [PMID: 35601485 PMCID: PMC9121381 DOI: 10.3389/fgene.2022.816737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/08/2022] [Indexed: 12/02/2022] Open
Abstract
The MPS technology has expanded the potential applications of DNA markers and increased the discrimination power of the targeted loci by taking variations in their flanking regions into consideration. Here, a collection of nuclear and extranuclear DNA markers (totally six kinds of nuclear genetic markers and mtDNA hypervariable region variations) were comprehensively and systematically assessed for polymorphism detections, further employed to dissect the population backgrounds in the Yugu ethnic group from Gansu province (Yugu) and Han population from the Inner Mongolia Autonomous Region (NMH) of China. The elevated efficiencies of the marker set in separating full sibling and challenging half sibling determination cases in parentage tests (iiSNPs), as well as predicting ancestry origins of unknown individuals from at least four continental populations (aiSNPs) and providing informative characteristic-related clues for Chinese populations (piSNPs) are highlighted in the present study. To sum up, different sets of DNA markers revealed sufficient effciencies to serve as promising tools in forensic applications. Genetic insights from the perspectives of autosomal DNA, Y chromosomal DNA, and mtDNA variations yielded that the Yugu ethnic group was genetically close related to the Han populations of the northern region. But we admit that more reference populations (like Mongolian, Tibetan, Hui, and Tu) should be incorporated to gain a refined genetic background landscape of the Yugu group in future studies.
Collapse
Affiliation(s)
- Qiong Lan
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Congying Zhao
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Chong Chen
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Hui Xu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Yating Fang
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
| | - Hongbing Yao
- Belt and Road Research Center for Forensic Molecular Anthropology Gansu University of Political Science and Law, Lanzhou, China
| | - Bofeng Zhu
- Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China
- Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Clinical Research Center of Shaanxi Province for Dental and Maxillofacial Diseases, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Bofeng Zhu,
| |
Collapse
|
45
|
Dabas P, Jain S, Khajuria H, Nayak BP. Forensic DNA phenotyping: Inferring phenotypic traits from crime scene DNA. J Forensic Leg Med 2022; 88:102351. [DOI: 10.1016/j.jflm.2022.102351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/01/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
|
46
|
Rauf S, Austin JJ, Higgins D, Khan MR. Unveiling forensically relevant biogeographic, phenotype and Y-chromosome SNP variation in Pakistani ethnic groups using a customized hybridisation enrichment forensic intelligence panel. PLoS One 2022; 17:e0264125. [PMID: 35176104 PMCID: PMC8853543 DOI: 10.1371/journal.pone.0264125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 02/03/2022] [Indexed: 11/19/2022] Open
Abstract
Massively parallel sequencing following hybridisation enrichment provides new opportunities to obtain genetic data for various types of forensic testing and has proven successful on modern as well as degraded and ancient DNA. A customisable forensic intelligence panel that targeted 124 SNP markers (67 ancestry informative markers, 23 phenotype markers from the HIrisplex panel, and 35 Y-chromosome SNPs) was used to examine biogeographic ancestry, phenotype and sex and Y-lineage in samples from different ethnic populations of Pakistan including Pothwari, Gilgit, Baloach, Pathan, Kashmiri and Siraiki. Targeted sequencing and computational data analysis pipeline allowed filtering of variants across the targeted loci. Study samples showed an admixture between East Asian and European ancestry. Eye colour was predicted accurately based on the highest p-value giving overall prediction accuracy of 92.8%. Predictions were consistent with reported hair colour for all samples, using the combined highest p-value approach and step-wise model incorporating probability thresholds for light or dark shade. Y-SNPs were successfully recovered only from male samples which indicates the ability of this method to identify biological sex and allow inference of Y-haplogroup. Our results demonstrate practicality of using hybridisation enrichment and MPS to aid in human intelligence gathering and will open many insights into forensic research in South Asia.
Collapse
Affiliation(s)
- Sobiah Rauf
- Genome Editing & Sequencing Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan
| | - Jeremy J. Austin
- Australian Centre for Ancient DNA (ACAD), School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Denice Higgins
- Australian Centre for Ancient DNA (ACAD), School of Biological Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- School of Dentistry, Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Muhammad Ramzan Khan
- Genome Editing & Sequencing Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan
| |
Collapse
|
47
|
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]
|
48
|
Pośpiech E, Teisseyre P, Mielniczuk J, Branicki W. Predicting Physical Appearance from DNA Data-Towards Genomic Solutions. Genes (Basel) 2022; 13:genes13010121. [PMID: 35052461 PMCID: PMC8774670 DOI: 10.3390/genes13010121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 02/04/2023] Open
Abstract
The idea of forensic DNA intelligence is to extract from genomic data any information that can help guide the investigation. The clues to the externally visible phenotype are of particular practical importance. The high heritability of the physical phenotype suggests that genetic data can be easily predicted, but this has only become possible with less polygenic traits. The forensic community has developed DNA-based predictive tools by employing a limited number of the most important markers analysed with targeted massive parallel sequencing. The complexity of the genetics of many other appearance phenotypes requires big data coupled with sophisticated machine learning methods to develop accurate genomic predictors. A significant challenge in developing universal genomic predictive methods will be the collection of sufficiently large data sets. These should be created using whole-genome sequencing technology to enable the identification of rare DNA variants implicated in phenotype determination. It is worth noting that the correctness of the forensic sketch generated from the DNA data depends on the inclusion of an age factor. This, however, can be predicted by analysing epigenetic data. An important limitation preventing whole-genome approaches from being commonly used in forensics is the slow progress in the development and implementation of high-throughput, low DNA input sequencing technologies. The example of palaeoanthropology suggests that such methods may possibly be developed in forensics.
Collapse
Affiliation(s)
- Ewelina Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland;
| | - Paweł Teisseyre
- Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland; (P.T.); (J.M.)
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
| | - Jan Mielniczuk
- Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland; (P.T.); (J.M.)
- Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Kraków, Poland;
- Central Forensic Laboratory of the Police, 00-583 Warsaw, Poland
- Correspondence: ; Tel.: +48-126-645-024
| |
Collapse
|
49
|
Frégeau CJ. A multiple predictive tool approach for phenotypic and biogeographical ancestry inferences. CANADIAN SOCIETY OF FORENSIC SCIENCE JOURNAL 2021. [DOI: 10.1080/00085030.2021.2016206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Chantal J. Frégeau
- Royal Canadian Mounted Police, Forensic Science & Identification Services, Biology Policy & Program Support, Ottawa, ON, Canada
| |
Collapse
|
50
|
Tyazhelova TV, Kuznetsova IL, Andreeva TV, Kunizheva SS, Rogaev EI. Application of Massive Parallel Sequencing Technology in Forensics: Comparative Analysis of Sequencing Platforms. RUSS J GENET+ 2021. [DOI: 10.1134/s1022795421120127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
|