Literature DB >> 25716572

Forensic DNA Phenotyping: Predicting human appearance from crime scene material for investigative purposes.

Manfred Kayser1.   

Abstract

Forensic DNA Phenotyping refers to the prediction of appearance traits of unknown sample donors, or unknown deceased (missing) persons, directly from biological materials found at the scene. "Biological witness" outcomes of Forensic DNA Phenotyping can provide investigative leads to trace unknown persons, who are unidentifiable with current comparative DNA profiling. This intelligence application of DNA marks a substantially different forensic use of genetic material rather than that of current DNA profiling presented in the courtroom. Currently, group-specific pigmentation traits are already predictable from DNA with reasonably high accuracies, while several other externally visible characteristics are under genetic investigation. Until individual-specific appearance becomes accurately predictable from DNA, conventional DNA profiling needs to be performed subsequent to appearance DNA prediction. Notably, and where Forensic DNA Phenotyping shows great promise, this is on a (much) smaller group of potential suspects, who match the appearance characteristics DNA-predicted from the crime scene stain or from the deceased person's remains. Provided sufficient funding being made available, future research to better understand the genetic basis of human appearance will expectedly lead to a substantially more detailed description of an unknown person's appearance from DNA, delivering increased value for police investigations in criminal and missing person cases involving unknowns.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Appearance; DNA intelligence; Externally visible traits; FDP; Forensic DNA Phenotyping; Physical traits

Mesh:

Substances:

Year:  2015        PMID: 25716572     DOI: 10.1016/j.fsigen.2015.02.003

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


  46 in total

1.  Prediction of male-pattern baldness from genotypes.

Authors:  Fan Liu; Merel A Hamer; Stefanie Heilmann; Christine Herold; Susanne Moebus; Albert Hofman; André G Uitterlinden; Markus M Nöthen; Cornelia M van Duijn; Tamar Ec Nijsten; Manfred Kayser
Journal:  Eur J Hum Genet       Date:  2015-10-28       Impact factor: 4.246

2.  DNA-based eyelid trait prediction in Chinese Han population.

Authors:  Qian Wang; Bo Jin; Fan Liu; Zhilong Li; Yu Tan; Weibo Liang; Feijun Huang
Journal:  Int J Legal Med       Date:  2021-05-10       Impact factor: 2.686

3.  Validation of BMI genetic risk score and DNA methylation in a Korean population.

Authors:  Sohee Cho; Eun Hee Lee; Haein Kim; Jeong Min Lee; Moon Hyun So; Jae Joon Ahn; Hwan Young Lee
Journal:  Int J Legal Med       Date:  2021-02-16       Impact factor: 2.686

4.  Comparison between magnetic bead and qPCR library normalisation methods for forensic MPS genotyping.

Authors:  Bhavik Mehta; Samantha Venables; Paul Roffey
Journal:  Int J Legal Med       Date:  2017-04-18       Impact factor: 2.686

5.  Genotyping DNA isolated from UV irradiated human bloodstains using whole genome amplification.

Authors:  Seisaku Uchigasaki; Jian Tie; Erina Sobashima; Naomi Shimada
Journal:  Mol Biol Rep       Date:  2018-07-07       Impact factor: 2.316

6.  Case report: on the use of the HID-Ion AmpliSeq™ Ancestry Panel in a real forensic case.

Authors:  C Hollard; C Keyser; T Delabarde; A Gonzalez; C Vilela Lamego; V Zvénigorosky; B Ludes
Journal:  Int J Legal Med       Date:  2016-07-28       Impact factor: 2.686

7.  The MASTiFF panel-a versatile multiple-allele SNP test for forensics.

Authors:  C Phillips; L Manzo; M de la Puente; M Fondevila; M V Lareu
Journal:  Int J Legal Med       Date:  2019-12-21       Impact factor: 2.686

8.  The Use of Forensic DNA Phenotyping in Predicting Appearance and Biogeographic Ancestry.

Authors:  Peter M Schneider; Barbara Prainsack; Manfred Kayser
Journal:  Dtsch Arztebl Int       Date:  2019-12-23       Impact factor: 5.594

9.  Identification of individuals by trait prediction using whole-genome sequencing data.

Authors:  Christoph Lippert; Riccardo Sabatini; M Cyrus Maher; Eun Yong Kang; Seunghak Lee; Okan Arikan; Alena Harley; Axel Bernal; Peter Garst; Victor Lavrenko; Ken Yocum; Theodore Wong; Mingfu Zhu; Wen-Yun Yang; Chris Chang; Tim Lu; Charlie W H Lee; Barry Hicks; Smriti Ramakrishnan; Haibao Tang; Chao Xie; Jason Piper; Suzanne Brewerton; Yaron Turpaz; Amalio Telenti; Rhonda K Roby; Franz J Och; J Craig Venter
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

10.  Exploration of SNP variants affecting hair colour prediction in Europeans.

Authors:  Jens Söchtig; Chris Phillips; Olalla Maroñas; Antonio Gómez-Tato; Raquel Cruz; Jose Alvarez-Dios; María-Ángeles Casares de Cal; Yarimar Ruiz; Kristian Reich; Manuel Fondevila; Ángel Carracedo; María V Lareu
Journal:  Int J Legal Med       Date:  2015-07-11       Impact factor: 2.686

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