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Wang M, Chen H, Luo L, Huang Y, Duan S, Yuan H, Tang R, Liu C, He G. Forensic investigative genetic genealogy: expanding pedigree tracing and genetic inquiry in the genomic era. J Genet Genomics 2024:S1673-8527(24)00158-9. [PMID: 38969261 DOI: 10.1016/j.jgg.2024.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 06/23/2024] [Accepted: 06/24/2024] [Indexed: 07/07/2024]
Abstract
Genetic genealogy provides crucial insights into the complex biological relationships within contemporary and ancient human populations by analyzing shared alleles and chromosomal segments that are identical by descent, to understand kinship, migration patterns, and population dynamics. Within forensic science, forensic investigative genetic genealogy (FIGG) has gained prominence by leveraging next-generation sequencing technologies and population-specific genomic resources, opening new investigative avenues. In this review, we synthesize current knowledge, underscore recent advancements, and discuss the growing role of FIGG in forensic genomics. FIGG has been pivotal in revitalizing dormant inquiries and offering new genetic leads in numerous cold cases. Its effectiveness relies on the extensive SNP profiles contributed by individuals from diverse populations to specialized genomic databases. Advances in computational genomics and the growth of human genomic databases have spurred a profound shift in the application of genetic genealogy across forensics, anthropology, and ancient DNA studies. As the field progresses, FIGG is evolving from a nascent practice into a more sophisticated and specialized discipline, shaping the future of forensic investigations.
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Affiliation(s)
- Mengge Wang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China; Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong, 510000, China.
| | - Hongyu Chen
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Lintao Luo
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China; Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Yuguo Huang
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Shuhan Duan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Huijun Yuan
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China.
| | - Renkuan Tang
- Department of Forensic Medicine, College of Basic Medicine, Chongqing Medical University, Chongqing, 400016, China.
| | - Chao Liu
- Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong, 510000, China.
| | - Guanglin He
- Institute of Rare Diseases, West China Hospital of Sichuan University, Sichuan University, Chengdu, Sichuan, 610041, China; Center for Archaeological Science, Sichuan University, Chengdu, Sichuan, 610041, China; Anti-Drug Technology Center of Guangdong Province, Guangzhou, Guangdong, 510000, China.
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2
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Dahlquist J, Robinson JO, Daoud A, Bash-Brooks W, McGuire AL, Guerrini CJ, Fullerton SM. Public Perspectives on Investigative Genetic Genealogy: Findings from a National Focus Group Study. AJOB Empir Bioeth 2024:1-11. [PMID: 38588389 DOI: 10.1080/23294515.2024.2336904] [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] [Indexed: 04/10/2024]
Abstract
BACKGROUND Investigative genetic genealogy (IGG) is a technique that involves uploading genotypes developed from perpetrator DNA left at a crime scene, or DNA from unidentified remains, to public genetic genealogy databases to identify genetic relatives and, through the creation of a family tree, the individual who was the source of the DNA. As policymakers demonstrate interest in regulating IGG, it is important to understand public perspectives on IGG to determine whether proposed policies are aligned with public attitudes. METHODS We conducted eight focus groups with members of the public (N = 72), sampled from four geographically diverse US regions, to explore general attitudes and perspectives regarding aspects of IGG practices, applications, and policies. Five major topics were explored in each focus group: when IGG should be used; who should perform IGG; how to approach consent for genetic database users; what systems of oversight should govern IGG practitioners; and whether to notify database users if their data are involved in law enforcement (LE) matching. RESULTS Participants were supportive of IGG in most scenarios, especially for cold and violent cases. The favorable attitudes toward IGG were, however, tempered by distrust of law enforcement among some participants. All participants agreed that databases must inform users if IGG is allowed, but they did not agree on how individual database users should be allowed to opt out or whether to notify them if their data are involved in specific investigations. All participants agreed that IGG should be subject to some prescriptive guidelines, regulations, or accountability mechanisms. CONCLUSIONS These findings suggest broad public support for IGG, and interest in developing systems of accountability for its practice. Our study provides useful insight for policy makers, genomic database stewards, law enforcement, and other stakeholders in IGG's practice, and suggests multiple directions for future research.
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Affiliation(s)
- Jacklyn Dahlquist
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, Washington, USA
| | - Jill O Robinson
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Amira Daoud
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Whitney Bash-Brooks
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Amy L McGuire
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Christi J Guerrini
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, Texas, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, Washington, USA
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Guardado M, Perez C, Jackson S, Magaña J, Campana S, Samperio E, Rojas BC, Hernandez S, Syas K, Hernandez R, Zavala EI, Rohlfs R. py_ped_sim - A flexible forward genetic simulator for complex family pedigree analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.25.586501. [PMID: 38585824 PMCID: PMC10996500 DOI: 10.1101/2024.03.25.586501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Background Large-scale family pedigrees are commonly used across medical, evolutionary, and forensic genetics. These pedigrees are tools for identifying genetic disorders, tracking evolutionary patterns, and establishing familial relationships via forensic genetic identification. However, there is a lack of software to accurately simulate different pedigree structures along with genomes corresponding to those individuals in a family pedigree. This limits simulation-based evaluations of methods that use pedigrees. Results We have developed a python command-line-based tool called py_ped_sim that facilitates the simulation of pedigree structures and the genomes of individuals in a pedigree. py_ped_sim represents pedigrees as directed acyclic graphs, enabling conversion between standard pedigree formats and integration with the forward population genetic simulator, SLiM. Notably, py_ped_sim allows the simulation of varying numbers of offspring for a set of parents, with the capacity to shift the distribution of sibship sizes over generations. We additionally add simulations for events of misattributed paternity, which offers a way to simulate half-sibling relationships. We validated the accuracy of our software by simulating genomes onto diverse family pedigree structures, showing that the estimated kinship coefficients closely approximated expected values. Conclusions py_ped_sim is a user-friendly and open-source solution for simulating pedigree structures and conducting pedigree genome simulations. It empowers medical, forensic, and evolutionary genetics researchers to gain deeper insights into the dynamics of genetic inheritance and relatedness within families.
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Affiliation(s)
- Miguel Guardado
- San Francisco State University, Department of Mathematics, San Francisco CA, 94132, USA
- University of California San Francisco, Biological and Medical Informatics Graduate Program. San Francisco CA, 94158
- Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA; San Francisco, 94134, CA, USA
- University of Oregon; Department of Data Science; Eugene, OR, 97403, USA
| | - Cynthia Perez
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | - Shalom Jackson
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | - Joaquín Magaña
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | - Sthen Campana
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | - Emily Samperio
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | | | - Selena Hernandez
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
| | - Kaela Syas
- San Francisco State University, Department of Mathematics, San Francisco CA, 94132, USA
| | - Ryan Hernandez
- Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA; San Francisco, 94134, CA, USA
| | - Elena I. Zavala
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
- University of California, Berkeley, Department of Molecular and Cell Biology, Berkeley, CA, 94720, USA
| | - Rori Rohlfs
- San Francisco State University, Department of Biology, San Francisco CA, 94132, USA
- University of Oregon; Department of Data Science; Eugene, OR, 97403, USA
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4
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Ji Q, Yao Y, Li Z, Zhou Z, Qian J, Tang Q, Xie J. Characterizing identity by descent segments in Chinese interpopulation unrelated individual pairs. Mol Genet Genomics 2024; 299:37. [PMID: 38494535 DOI: 10.1007/s00438-024-02132-7] [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: 08/05/2023] [Accepted: 02/22/2024] [Indexed: 03/19/2024]
Abstract
Identity by descent (IBD) segments, uninterrupted DNA segments derived from the same ancestral chromosomes, are widely used as indicators of relationships in genetics. A great deal of research focuses on IBD segments between related pairs, while the statistical analyses of segments in irrelevant individuals are rare. In this study, we investigated the basic informative features of IBD segments in unrelated pairs in Chinese populations from the 1000 Genome Project. A total of 5922 IBD segments in Chinese interpopulation unrelated individual pairs were detected via IBIS and the average length of IBD was 3.71 Mb in length. It was found that 17.86% of unrelated pairs shared at least one IBD segment in the Chinese cohort. Furthermore, a total of 49 chromosomal regions where IBD segments clustered in high abundance were identified, which might be sharing hotspots in the human genome. Such regions could also be observed in other ancestry populations, which implies that similar IBD backgrounds also exist. Altogether, these results demonstrated the distribution of common background IBD segments, which helps improve the accuracy in pedigree studies based on IBD analysis.
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Affiliation(s)
- Qiqi Ji
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Yining Yao
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Zhimin Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Zhihan Zhou
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Jinglei Qian
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Qiqun Tang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Jianhui Xie
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
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5
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Guerrini CJ, Bash Brooks W, Robinson JO, Fullerton SM, Zoorob E, McGuire AL. IGG in the trenches: Results of an in-depth interview study on the practice, politics, and future of investigative genetic genealogy. Forensic Sci Int 2024; 356:111946. [PMID: 38422559 PMCID: PMC10984250 DOI: 10.1016/j.forsciint.2024.111946] [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: 09/17/2023] [Revised: 01/04/2024] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
Investigative genetic genealogy (IGG) is a new technique for identifying criminal suspects and unidentified deceased and living persons that has sparked controversy. In a criminal case, the technique involves uploading genetic information left by a putative perpetrator at the crime scene to one or more direct-to-consumer genetic genealogy databases with the intention of identifying the perpetrator's genetic relatives and, eventually, locating the perpetrator on the family tree. In 2018, IGG helped to identify the Golden State Killer, and it has since been used in hundreds of investigations in the United States. Here, we report findings from in-depth interviews with 24 U.S.-based individuals involved in IGG that are relevant to the technique's current practice and predicted future. Key findings include: an emphasis on restricting IGG as a conceptual and technical matter to lead generation; the rapid growth of a private and largely self-regulating industry to support IGG; general recognition of three categories of cases associated with distinct practical, ethical, and policy questions, as well as varying degrees of controversy; and the significant influence of perceived public opinion on IGG practice. The experiences and perspectives of individuals in the IGG trenches related to these and other issues are potentially useful inputs to ongoing efforts to regulate the technique.
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Affiliation(s)
- Christi J Guerrini
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
| | - Whitney Bash Brooks
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Jill O Robinson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Stephanie M Fullerton
- Department of Bioethics and Humanities, University of Washington School of Medicine, Seattle, WA, USA
| | - Emily Zoorob
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Amy L McGuire
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA
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6
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Tuazon OM, Wickenheiser RA, Ansell R, Guerrini CJ, Zwenne GJ, Custers B. Law enforcement use of genetic genealogy databases in criminal investigations: Nomenclature, definition and scope. Forensic Sci Int Synerg 2024; 8:100460. [PMID: 38380276 PMCID: PMC10876674 DOI: 10.1016/j.fsisyn.2024.100460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/07/2024] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
Although law enforcement use of commercial genetic genealogy databases has gained prominence since the arrest of the Golden State Killer in 2018, and it has been used in hundreds of cases in the United States and more recently in Europe and Australia, it does not have a standard nomenclature and scope. We analyzed the more common terms currently being used and propose a common nomenclature: investigative forensic genetic genealogy (iFGG). We define iFGG as the use by law enforcement of genetic genealogy combined with traditional genealogy to generate suspect investigational leads from forensic samples in criminal investigations. We describe iFGG as a proper subset of forensic genetic genealogy, that is, FGG as applied by law enforcement to criminal investigations; hence, investigative FGG or iFGG. We delineate its steps, compare and contrast it with other investigative techniques involving genetic evidence, and contextualize its use within criminal investigations. This characterization is a critical input to future studies regarding the legal status of iFGG and its implications on the right to genetic privacy.
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Affiliation(s)
- Oliver M. Tuazon
- Center for Law and Digital Technologies (eLaw), Institute for the Interdisciplinary Study of the Law, Leiden Law School, Leiden University, Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden, the Netherlands
| | - Ray A. Wickenheiser
- New York State Police Crime Laboratory System, Forensic Investigation Center, 1220 Washington Avenue, Building #30, Albany, NY, 12226-3000, USA
| | - Ricky Ansell
- Swedish Police Authority, National Forensic Centre, SE-581 94, Linköping, Sweden
- Department of Physics, Chemistry and Biology, Linköping University, Sweden
| | - Christi J. Guerrini
- Baylor College of Medicine, Center for Medical Ethics and Health Policy, Houston, TX, 77030, USA
| | - Gerrit-Jan Zwenne
- Center for Law and Digital Technologies (eLaw), Institute for the Interdisciplinary Study of the Law, Leiden Law School, Leiden University, Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden, the Netherlands
| | - Bart Custers
- Center for Law and Digital Technologies (eLaw), Institute for the Interdisciplinary Study of the Law, Leiden Law School, Leiden University, Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden, the Netherlands
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Kim J, Rosenberg NA. Record-matching of STR profiles with fragmentary genomic SNP data. Eur J Hum Genet 2023; 31:1283-1290. [PMID: 37567955 PMCID: PMC10620386 DOI: 10.1038/s41431-023-01430-9] [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: 09/19/2022] [Revised: 05/30/2023] [Accepted: 07/03/2023] [Indexed: 08/13/2023] Open
Abstract
In many forensic settings, identity of a DNA sample is sought from poor-quality DNA, for which the typical STR loci tabulated in forensic databases are not possible to reliably genotype. Genome-wide SNPs, however, can potentially be genotyped from such samples via next-generation sequencing, so that queries can in principle compare SNP genotypes from DNA samples of interest to STR genotype profiles that represent proposed matches. We use genetic record-matching to evaluate the possibility of testing SNP profiles obtained from poor-quality DNA samples to identify exact and relatedness matches to STR profiles. Using simulations based on whole-genome sequences, we show that in some settings, similar match accuracies to those seen with full coverage of the genome are obtained by genetic record-matching for SNP data that represent 5-10% genomic coverage. Thus, if even a fraction of random genomic SNPs can be genotyped by next-generation sequencing, then the potential may exist to test the resulting genotype profiles for matches to profiles consisting exclusively of nonoverlapping STR loci. The result has implications in relation to criminal justice, mass disasters, missing-person cases, studies of ancient DNA, and genomic privacy.
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Affiliation(s)
- Jaehee Kim
- Department of Computational Biology, Cornell University, Ithaca, NY, 14853, USA
| | - Noah A Rosenberg
- Department of Biology, Stanford University, Stanford, CA, 94305, USA.
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8
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Wagner JK, Yu JH, Fullwiley D, Moore C, Wilson JF, Bamshad MJ, Royal CD. Guidelines for genetic ancestry inference created through roundtable discussions. HGG ADVANCES 2023; 4:100178. [PMID: 36798092 PMCID: PMC9926022 DOI: 10.1016/j.xhgg.2023.100178] [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: 09/02/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023] Open
Abstract
The use of genetic and genomic technology to infer ancestry is commonplace in a variety of contexts, particularly in biomedical research and for direct-to-consumer genetic testing. In 2013 and 2015, two roundtables engaged a diverse group of stakeholders toward the development of guidelines for inferring genetic ancestry in academia and industry. This report shares the stakeholder groups' work and provides an analysis of, commentary on, and views from the groundbreaking and sustained dialogue. We describe the engagement processes and the stakeholder groups' resulting statements and proposed guidelines. The guidelines focus on five key areas: application of genetic ancestry inference, assumptions and confidence/laboratory and statistical methods, terminology and population identifiers, impact on individuals and groups, and communication or translation of genetic ancestry inferences. We delineate the terms and limitations of the guidelines and discuss their critical role in advancing the development and implementation of best practices for inferring genetic ancestry and reporting the results. These efforts should inform both governmental regulation and self-regulation.
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Affiliation(s)
- Jennifer K. Wagner
- School of Engineering Design and Innovation, Pennsylvania State University, University Park, PA 16802, USA
- Institute for Computational and Data Science, Pennsylvania State University, University Park, PA 16802, USA
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Rock Ethics Institute, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Law, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
| | - Joon-Ho Yu
- Department of Pediatrics and Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital and Research Institute, Seattle, WA 98101, USA
| | - Duana Fullwiley
- Department of Anthropology, Stanford University, Stanford, CA 94305, USA
| | | | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland
| | - Michael J. Bamshad
- Department of Pediatrics and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Seattle Children’s Hospital, Seattle, WA 98101, USA
| | - Charmaine D. Royal
- Departments of African and African American Studies, Biology, Global Health, and Family Medicine and Community Health, Duke University, Durham, NC 27708, USA
| | - Genetic Ancestry Inference Roundtable Participants
- School of Engineering Design and Innovation, Pennsylvania State University, University Park, PA 16802, USA
- Institute for Computational and Data Science, Pennsylvania State University, University Park, PA 16802, USA
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
- Rock Ethics Institute, Pennsylvania State University, University Park, PA 16802, USA
- Penn State Law, University Park, PA 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA
- Department of Pediatrics and Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Treuman Katz Center for Pediatric Bioethics, Seattle Children’s Hospital and Research Institute, Seattle, WA 98101, USA
- Department of Anthropology, Stanford University, Stanford, CA 94305, USA
- The DNA Detectives, Dana Point, CA, USA
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, Scotland
- Department of Pediatrics and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Seattle Children’s Hospital, Seattle, WA 98101, USA
- Departments of African and African American Studies, Biology, Global Health, and Family Medicine and Community Health, Duke University, Durham, NC 27708, USA
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Abstract
This review paper covers the forensic-relevant literature in biological sciences from 2019 to 2022 as a part of the 20th INTERPOL International Forensic Science Managers Symposium. Topics reviewed include rapid DNA testing, using law enforcement DNA databases plus investigative genetic genealogy DNA databases along with privacy/ethical issues, forensic biology and body fluid identification, DNA extraction and typing methods, mixture interpretation involving probabilistic genotyping software (PGS), DNA transfer and activity-level evaluations, next-generation sequencing (NGS), DNA phenotyping, lineage markers (Y-chromosome, mitochondrial DNA, X-chromosome), new markers and approaches (microhaplotypes, proteomics, and microbial DNA), kinship analysis and human identification with disaster victim identification (DVI), and non-human DNA testing including wildlife forensics. Available books and review articles are summarized as well as 70 guidance documents to assist in quality control that were published in the past three years by various groups within the United States and around the world.
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10
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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.
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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
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11
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Yanes-Rodríguez M, Cruz-Cánovas MC, Gamero-de-Luna EJ. Genograma y árbol genealógico. Semergen 2022; 48:200-207. [DOI: 10.1016/j.semerg.2021.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 10/19/2022]
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12
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Michael AR, Blatt SH, Isa M, Redgrave A, Ubelaker DH. Identification of a decedent in a 103-year-old homicide case using forensic anthropology and genetic genealogy. Forensic Sci Res 2022; 7:412-426. [DOI: 10.1080/20961790.2022.2034717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Amy R. Michael
- Department of Anthropology, University of New Hampshire, Durham, NC, USA
| | - Samantha H. Blatt
- Department of Anthropology, Idaho State University, Pocatello, ID, USA
| | - Mariyam Isa
- Department of Anthropology, Texas Tech University, Lubbock, TX, USA
| | | | - Douglas H. Ubelaker
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
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13
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Forensic Genetic Genealogy: A Profile of Cases Solved. Forensic Sci Int Genet 2022; 58:102679. [DOI: 10.1016/j.fsigen.2022.102679] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 11/21/2022]
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14
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Forensic Genetic Genealogy using microarrays for the identification of human remains: the need for good quality samples – a pilot study. Forensic Sci Int 2022; 334:111242. [DOI: 10.1016/j.forsciint.2022.111242] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/31/2022] [Accepted: 02/23/2022] [Indexed: 11/20/2022]
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Wienroth M, Granja R, Lipphardt V, Nsiah Amoako E, McCartney C. Ethics as Lived Practice. Anticipatory Capacity and Ethical Decision-Making in Forensic Genetics. Genes (Basel) 2021; 12:1868. [PMID: 34946816 PMCID: PMC8701090 DOI: 10.3390/genes12121868] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 11/19/2021] [Accepted: 11/23/2021] [Indexed: 01/12/2023] Open
Abstract
Greater scrutiny and demands for innovation and increased productivity place pressures on scientists. Forensic genetics is advancing at a rapid pace but can only do so responsibly, usefully, and acceptably within ethical and legal boundaries. We argue that such boundaries require that forensic scientists embrace 'ethics as lived practice'. As a starting point, we critically discuss 'thin' ethics in forensic genetics, which lead to a myopic focus on procedures, and to seeing 'privacy' as the sole ethical concern and technology as a mere tool. To overcome 'thin' ethics in forensic genetics, we instead propose understanding ethics as an intrinsic part of the lived practice of a scientist. Therefore, we explore, within the context of three case studies of emerging forensic genetics technologies, ethical aspects of decision-making in forensic genetics research and in technology use. We discuss the creation, curation, and use of databases, and the need to engage with societal and policing contexts of forensic practice. We argue that open communication is a vital ethical aspect. Adoption of 'ethics as lived practice' supports the development of anticipatory capacity-empowering scientists to understand, and act within ethical and legal boundaries, incorporating the operational and societal impacts of their daily decisions, and making visible ethical decision making in scientific practice.
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Affiliation(s)
- Matthias Wienroth
- Centre for Crime and Policing, Department of Social Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
| | - Rafaela Granja
- Communication and Society Research Centre, University of Minho, 4710-057 Braga, Portugal
| | - Veronika Lipphardt
- University College Freiburg, Albert-Ludwigs-Universität, 79098 Freiburg, Germany
| | - Emmanuel Nsiah Amoako
- Department of Applied Sciences, University of the West of England, Bristol BS16 1QY, UK
| | - Carole McCartney
- Science & Justice Research Interest Group, Law School, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
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16
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de Vries JH, Kling D, Vidaki A, Arp P, Kalamara V, Verbiest MMPJ, Piniewska-Róg D, Parsons TJ, Uitterlinden AG, Kayser M. Impact of SNP microarray analysis of compromised DNA on kinship classification success in the context of investigative genetic genealogy. Forensic Sci Int Genet 2021; 56:102625. [PMID: 34753062 DOI: 10.1016/j.fsigen.2021.102625] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 11/04/2022]
Abstract
Single nucleotide polymorphism (SNP) data generated with microarray technologies have been used to solve murder cases via investigative leads obtained from identifying relatives of the unknown perpetrator included in accessible genomic databases, an approach referred to as investigative genetic genealogy (IGG). However, SNP microarrays were developed for relatively high input DNA quantity and quality, while DNA typically obtainable from crime scene stains is of low DNA quantity and quality, and SNP microarray data obtained from compromised DNA are largely missing. By applying the Illumina Global Screening Array (GSA) to 264 DNA samples with systematically altered quantity and quality, we empirically tested the impact of SNP microarray analysis of compromised DNA on kinship classification success, as relevant in IGG. Reference data from manufacturer-recommended input DNA quality and quantity were used to estimate genotype accuracy in the compromised DNA samples and for simulating data of different degree relatives. Although stepwise decrease of input DNA amount from 200 ng to 6.25 pg led to decreased SNP call rates and increased genotyping errors, kinship classification success did not decrease down to 250 pg for siblings and 1st cousins, 1 ng for 2nd cousins, while at 25 pg and below kinship classification success was zero. Stepwise decrease of input DNA quality via increased DNA fragmentation resulted in the decrease of genotyping accuracy as well as kinship classification success, which went down to zero at the average DNA fragment size of 150 base pairs. Combining decreased DNA quantity and quality in mock casework and skeletal samples further highlighted possibilities and limitations. Overall, GSA analysis achieved maximal kinship classification success from 800 to 200 times lower input DNA quantities than manufacturer-recommended, although DNA quality plays a key role too, while compromised DNA produced false negative kinship classifications rather than false positive ones.
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Affiliation(s)
- Jard H de Vries
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Daniel Kling
- Department of Forensic Genetics and Toxicology, National Board of Forensic Medicine, Artillerigatan 12, 587 58 Linköping, Sweden
| | - Athina Vidaki
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Pascal Arp
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Vivian Kalamara
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Michael M P J Verbiest
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Danuta Piniewska-Róg
- Malopolska Centre of Biotechnology, Jagiellonian University, 30-387 Krakow, Poland; Department of Forensic Medicine, Jagiellonian University Medical College, 31-531 Krakow, Poland
| | - Thomas J Parsons
- International Commission on Missing Persons, Koninginnegracht 12a, 2514 AA Den Haag, the Netherlands
| | - André G Uitterlinden
- Erasmus MC, University Medical Center Rotterdam, Department of Internal Medicine, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands; Erasmus MC, University Medical Center Rotterdam, Department of Epidemiology, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Manfred Kayser
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
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17
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de Groot NF, van Beers BC, Meynen G. Commercial DNA tests and police investigations: a broad bioethical perspective. JOURNAL OF MEDICAL ETHICS 2021; 47:medethics-2021-107568. [PMID: 34509983 PMCID: PMC8639940 DOI: 10.1136/medethics-2021-107568] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/20/2021] [Indexed: 06/13/2023]
Abstract
Over 30 million people worldwide have taken a commercial at-home DNA test, because they were interested in their genetic ancestry, disease predisposition or inherited traits. Yet, these consumer DNA data are also increasingly used for a very different purpose: to identify suspects in criminal investigations. By matching a suspect's DNA with DNA from a suspect's distant relatives who have taken a commercial at-home DNA test, law enforcement can zero in on a perpetrator. Such forensic use of consumer DNA data has been performed in over 200 criminal investigations. However, this practice of so-called investigative genetic genealogy (IGG) raises ethical concerns. In this paper, we aim to broaden the bioethical analysis on IGG by showing the limitations of an individual-based model. We discuss two concerns central in the debate: privacy and informed consent. However, we argue that IGG raises pressing ethical concerns that extend beyond these individual-focused issues. The very nature of the genetic information entails that relatives may also be affected by the individual customer's choices. In this respect, we explore to what extent the ethical approach in the biomedical genetic context on consent and consequences for relatives can be helpful for the debate on IGG. We argue that an individual-based model has significant limitations in an IGG context. The ethical debate is further complicated by the international, transgenerational and commercial nature of IGG. We conclude that IGG should not only be approached as an individual but also-and perhaps primarily-as a collective issue.
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Affiliation(s)
- Nina F de Groot
- Philosophy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Britta C van Beers
- Legal Theory and Legal History, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gerben Meynen
- Philosophy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Willem Pompe Institute for Criminal Law and Criminology, Utrecht University, Utrecht, The Netherlands
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18
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Hofreiter M, Sneberger J, Pospisek M, Vanek D. Progress in forensic bone DNA analysis: Lessons learned from ancient DNA. Forensic Sci Int Genet 2021; 54:102538. [PMID: 34265517 DOI: 10.1016/j.fsigen.2021.102538] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 03/07/2021] [Accepted: 05/25/2021] [Indexed: 01/18/2023]
Abstract
Research on ancient and forensic DNA is related in many ways, and the two fields must deal with similar obstacles. Therefore, communication between these two communities has the potential to improve results in both research fields. Here, we present the insights gained in the ancient DNA community with regard to analyzing DNA from aged skeletal material and the potential use of the developed protocols in forensic work. We discuss the various steps, from choosing samples for DNA extraction to deciding between classical PCR amplification and massively parallel sequencing approaches. Based on the progress made in ancient DNA analyses combined with the requirements of forensic work, we suggest that there is substantial potential for incorporating ancient DNA approaches into forensic protocols, a process that has already begun to a considerable extent. However, taking full advantage of the experiences gained from ancient DNA work will require comparative studies by the forensic DNA community to tailor the methods developed for ancient samples to the specific needs of forensic studies and case work. If successful, in our view, the benefits for both communities would be considerable.
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Affiliation(s)
- Michael Hofreiter
- Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany.
| | - Jiri Sneberger
- Department of Genetics and Microbiology, Faculty of Science, Charles University in Prague, Vinicna 5, Prague 2 12843, Czech Republic; Department of the History of the Middle Ages of Museum of West Bohemia, Kopeckeho sady 2, Pilsen 30100, Czech Republic; Nuclear Physics Institute of the CAS, Na Truhlarce 39/64, Prague 18086, Czech Republic
| | - Martin Pospisek
- Department of Genetics and Microbiology, Faculty of Science, Charles University in Prague, Vinicna 5, Prague 2 12843, Czech Republic; Biologicals s.r.o., Sramkova 315, Ricany 25101, Czech Republic
| | - Daniel Vanek
- Forensic DNA Service, Janovskeho 18, Prague 7 17000, Czech Republic; Institute of Legal Medicine, Bulovka Hospital, Prague, Czech Republic; Charles University in Prague, 2nd Faculty of Medicine, Prague, Czech Republic.
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19
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Tillmar A, Fagerholm SA, Staaf J, Sjölund P, Ansell R. Getting the conclusive lead with investigative genetic genealogy - A successful case study of a 16 year old double murder in Sweden. Forensic Sci Int Genet 2021; 53:102525. [PMID: 33991867 DOI: 10.1016/j.fsigen.2021.102525] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 12/13/2022]
Abstract
On the morning of October 19, 2004, an eight-year-old boy and a 56-year-old woman were stabbed to death on an open street in the city of Linköping, Sweden. The perpetrator left his DNA at the crime scene, and after 15 years of various investigation efforts, including more than 9000 interrogations and mass DNA screening of more than 6000 men, there were still no clues about the identity of the unknown murderer. The successful application of investigative genetic genealogy (IGG) in the US raised the interest for this tool within the Swedish Police Authority. After legal consultations it was decided that IGG could be applied in this double murder case as a pilot case study. From extensive DNA analysis, including whole-genome sequencing and genotype imputation, DNA data sets were established and searched within both GEDmatch and FamilyTree DNA genealogy databases. A number of fairly distant relatives were found from which family trees were created. The genealogy work resulted in two candidates, two brothers, one of whom matched the crime scene samples by routine STR profiling. The suspect confessed the murders at the initial police hearing and was later convicted of the murders. In this paper we describe the successful application of an emerging technology. We disclose details of the DNA analyses which, due to the poor quality and low quantity of the DNA, required reiterative sequencing and genotype imputation efforts. The successful application of IGG in this double murder case exemplifies its applicability not only in the US but also in Europe. The pressure is now high on the involved authorities to establish IGG as a tool for cold case criminal investigations and for missing person identifications. There is, however, a continuous need to accommodate legal, social and ethical aspects as well.
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Affiliation(s)
- Andreas Tillmar
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden; Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.
| | | | - Jan Staaf
- Polisregion Öst, Swedish Police Authority, Linköping, Sweden
| | | | - Ricky Ansell
- National Forensic Centre, Swedish Police Authority, Linköping, Sweden; Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden.
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20
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Kling D, Phillips C, Kennett D, Tillmar A. Investigative genetic genealogy: Current methods, knowledge and practice. Forensic Sci Int Genet 2021; 52:102474. [PMID: 33592389 DOI: 10.1016/j.fsigen.2021.102474] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/12/2021] [Accepted: 01/27/2021] [Indexed: 12/15/2022]
Abstract
Investigative genetic genealogy (IGG) has emerged as a new, rapidly growing field of forensic science. We describe the process whereby dense SNP data, commonly comprising more than half a million markers, are employed to infer distant relationships. By distant we refer to degrees of relatedness exceeding that of first cousins. We review how methods of relationship matching and SNP analysis on an enlarged scale are used in a forensic setting to identify a suspect in a criminal investigation or a missing person. There is currently a strong need in forensic genetics not only to understand the underlying models to infer relatedness but also to fully explore the DNA technologies and data used in IGG. This review brings together many of the topics and examines their effectiveness and operational limits, while suggesting future directions for their forensic validation. We further investigated the methods used by the major direct-to-consumer (DTC) genetic ancestry testing companies as well as submitting a questionnaire where providers of forensic genetic genealogy summarized their operation/services. Although most of the DTC market, and genetic genealogy in general, has undisclosed, proprietary algorithms we review the current knowledge where information has been discussed and published more openly.
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Affiliation(s)
- Daniel Kling
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden; Department of Forensic Sciences, Oslo University Hospital, Oslo, Norway.
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.
| | - Debbie Kennett
- Research Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Andreas Tillmar
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden; Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
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21
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Ge J, Budowle B. Forensic investigation approaches of searching relatives in DNA databases. J Forensic Sci 2020; 66:430-443. [PMID: 33136341 DOI: 10.1111/1556-4029.14615] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 09/11/2020] [Accepted: 10/05/2020] [Indexed: 11/29/2022]
Abstract
There are several indirect database searching approaches to identify the potential source of a forensic biological sample. These DNA-based approaches are familial searching, Y-STR database searching, and investigative genetic genealogy (IGG). The first two strategies use forensic DNA databases managed by the government, and the latter uses databases managed by private citizens or companies. Each of these search strategies relies on DNA testing to identify relatives of the donor of the crime scene sample, provided such profiles reside in the DNA database(s). All three approaches have been successfully used to identify the donor of biological evidence, which assisted in solving criminal cases or identifying unknown human remains. This paper describes and compares these approaches in terms of genotyping technologies, searching methods, database structures, searching efficiency, data quality, data security, and costs, and raises some potential privacy and legal considerations for further discussion by stakeholders and scientists. Y-STR database searching and IGG are advantageous since they are able to assist in more cases than familial searching readily identifying distant relatives. In contrast, familial searching can be performed more readily with existing laboratory systems. Every country or state may have its own unique economic, technical, cultural, and legal considerations and should decide the best approach(es) to fit those circumstances. Regardless of the approach, the ultimate goal should be the same: generate investigative leads and solve active and cold criminal cases to public safety, under stringent policies and security practices designed to protect the privacy of its citizenry.
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Affiliation(s)
- Jianye Ge
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.,Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Bruce Budowle
- Center for Human Identification, University of North Texas Health Science Center, Fort Worth, TX, USA.,Department of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA
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22
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Samuel G, Kennett D. The impact of investigative genetic genealogy: perceptions of UK professional and public stakeholders. Forensic Sci Int Genet 2020; 48:102366. [DOI: 10.1016/j.fsigen.2020.102366] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 07/10/2020] [Accepted: 07/28/2020] [Indexed: 10/23/2022]
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23
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Fortier AL, Kim J, Rosenberg NA. Human-Genetic Ancestry Inference and False Positives in Forensic Familial Searching. G3 (BETHESDA, MD.) 2020; 10:2893-2902. [PMID: 32586848 PMCID: PMC7407470 DOI: 10.1534/g3.120.401473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 06/20/2020] [Indexed: 11/18/2022]
Abstract
In forensic familial search methods, a query DNA profile is tested against a database to determine if the query profile represents a close relative of a database entrant. One challenge for familial search is that the calculations may require specification of allele frequencies for the unknown population from which the query profile has originated. The choice of allele frequencies affects the rate at which non-relatives are erroneously classified as relatives, and allele-frequency misspecification can substantially inflate false positive rates compared to use of allele frequencies drawn from the same population as the query profile. Here, we use ancestry inference on the query profile to circumvent the high false positive rates that result from highly misspecified allele frequencies. In particular, we perform ancestry inference on the query profile and make use of allele frequencies based on its inferred genetic ancestry. In a test for sibling matches on profiles that represent unrelated individuals, we demonstrate that false positive rates for familial search with use of ancestry inference to specify the allele frequencies are similar to those seen when allele frequencies align with the population of origin of a profile. Because ancestry inference is possible to perform on query profiles, the extreme allele-frequency misspecifications that produce the highest false positive rates can be avoided. We discuss the implications of the results in the context of concerns about the forensic use of familial searching.
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Affiliation(s)
| | - Jaehee Kim
- Department of Biology, Stanford University, CA 94305
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