Literature DB >> 33592389

Investigative genetic genealogy: Current methods, knowledge and practice.

Daniel Kling1, Christopher Phillips2, Debbie Kennett3, Andreas Tillmar4.   

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.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Crime investigation; Familial searching; Forensic DNA analysis; Genetic genealogy; Identity by descent; SNP microarrays; Whole-genome-sequencing

Mesh:

Year:  2021        PMID: 33592389     DOI: 10.1016/j.fsigen.2021.102474

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  8 in total

Review 1.  An Introductory Overview of Open-Source and Commercial Software Options for the Analysis of Forensic Sequencing Data.

Authors:  Tunde I Huszar; Katherine B Gettings; Peter M Vallone
Journal:  Genes (Basel)       Date:  2021-10-29       Impact factor: 4.096

Review 2.  Bridging Disciplines to Form a New One: The Emergence of Forensic Genetic Genealogy.

Authors:  Claire L Glynn
Journal:  Genes (Basel)       Date:  2022-08-01       Impact factor: 4.141

3.  Polygenic risk score for embryo selection-not ready for prime time.

Authors:  Alex Polyakov; David J Amor; Julian Savulescu; Christopher Gyngell; Ektoras X Georgiou; Vanessa Ross; Yossi Mizrachi; Genia Rozen
Journal:  Hum Reprod       Date:  2022-09-30       Impact factor: 6.353

4.  Applications of massively parallel sequencing in forensic genetics.

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

Review 5.  Predicting Physical Appearance from DNA Data-Towards Genomic Solutions.

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

6.  Ethics as Lived Practice. Anticipatory Capacity and Ethical Decision-Making in Forensic Genetics.

Authors:  Matthias Wienroth; Rafaela Granja; Veronika Lipphardt; Emmanuel Nsiah Amoako; Carole McCartney
Journal:  Genes (Basel)       Date:  2021-11-24       Impact factor: 4.096

7.  The FORCE Panel: An All-in-One SNP Marker Set for Confirming Investigative Genetic Genealogy Leads and for General Forensic Applications.

Authors:  Andreas Tillmar; Kimberly Sturk-Andreaggi; Jennifer Daniels-Higginbotham; Jacqueline Tyler Thomas; Charla Marshall
Journal:  Genes (Basel)       Date:  2021-12-10       Impact factor: 4.096

8.  Commercial DNA tests and police investigations: a broad bioethical perspective.

Authors:  Nina F de Groot; Britta C van Beers; Gerben Meynen
Journal:  J Med Ethics       Date:  2021-09-11       Impact factor: 2.903

  8 in total

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