Recent Advances in Forensic Genetics

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 1702

Special Issue Editor


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Guest Editor
Forensic Genetics Unit, Institute of Forensic Sciences, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
Interests: epigenetics; DNA methylation; DNA phenotyping; human identification

Special Issue Information

Dear Colleagues,

Forensic genetics is a discipline that has largely evolved in recent years. DNA extracted from biological traces can be used for human identification, criminalistic investigations or kindship analyses. In addition, in cases where no reference samples are available, forensic DNA phenotyping plays a pivotal role. Furthermore, additional applications in forensic analyses, such as the assessment of the human and soil microbiome, among others, begin to shed light. These aims and applications have been strengthened by the discovery of novel markers, the development of new DNA technologies and the improvement of bioinformatic analyses, and they will be covered in our Special Issue, entitled “Recent Advances in Forensic Genetics”, in order to provide a general overview of the current progress in this field. In this way, we will focus on advancements that have broadened the range of molecular tools that can be applied in complex forensic casework analyses.

Dr. Ana Freire-Aradas
Guest Editor

Manuscript Submission Information

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Keywords

  • investigative genetic genealogy
  • DNA mixtures
  • kindship analysis
  • disaster victim identification
  • human body identification
  • lineage markers
  • forensic DNA phenotyping (biogeographic ancestry; externally visible characteristics; age estimation)
  • human and soil microbiome

Published Papers (1 paper)

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Research

15 pages, 4262 KiB  
Article
Male Pedigree Toolbox: A Versatile Software for Y-STR Data Analyses
by Arwin Ralf, Bram van Wersch, Diego Montiel González and Manfred Kayser
Genes 2024, 15(2), 227; https://doi.org/10.3390/genes15020227 - 10 Feb 2024
Viewed by 1384
Abstract
Y-chromosomal short tandem repeats (Y-STRs) are widely used in forensic, genealogical, and population genetics. With the recent increase in the number of rapidly mutating (RM) Y-STRs, an unprecedented level of male differentiation can be achieved, widening and improving the applications of Y-STRs in [...] Read more.
Y-chromosomal short tandem repeats (Y-STRs) are widely used in forensic, genealogical, and population genetics. With the recent increase in the number of rapidly mutating (RM) Y-STRs, an unprecedented level of male differentiation can be achieved, widening and improving the applications of Y-STRs in various fields, including forensics. The growing complexity of Y-STR data increases the need for automated data analyses, but dedicated software tools are scarce. To address this, we present the Male Pedigree Toolbox (MPT), a software tool for the automated analysis of Y-STR data in the context of patrilineal genealogical relationships. The MPT can estimate mutation rates and male relative differentiation rates from input Y-STR pedigree data. It can aid in determining ancestral haplotypes within a pedigree and visualize the genetic variation within pedigrees in all branches of family trees. Additionally, it can provide probabilistic classifications using machine learning, helping to establish or prove the structure of the pedigree and the level of relatedness between males, even for closely related individuals with highly similar haplotypes. The tool is flexible and easy to use and can be adjusted to any set of Y-STR markers by modifying the intuitive input file formats. We introduce the MPT software tool v1.0 and make it publicly available with the goal of encouraging and supporting forensic, genealogical, and other geneticists in utilizing the full potential of Y-STRs for both research purposes and practical applications, including criminal casework. Full article
(This article belongs to the Special Issue Recent Advances in Forensic Genetics)
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