Literature DB >> 19414162

DNA-based prediction of human externally visible characteristics in forensics: motivations, scientific challenges, and ethical considerations.

Manfred Kayser1, Peter M Schneider.   

Abstract

There will always be criminal cases, where the evidence DNA sample will not match either a suspect's DNA profile, or any in a criminal DNA database. In the absence of DNA-based mass intelligence screenings, including familial searching (both of which may be restricted by legislation), there is only one option to potentially avoid or retrospectively solve "cold cases": the DNA-based prediction of human externally visible characteristics of an unknown person based on the crime scene sample left behind. Predictive DNA markers are expected to be available for some group-specific appearance traits in the near future; although it is unlikely that we will soon be able to understand the biological complexity of individual-specific appearance. In suspect-less cases reliable DNA-based prediction of broader externally visible characteristics from crime scene samples are expected to reduce the potential pool of suspects by allowing police investigations to concentrate on specific groups of people. Here, we aim to describe the forensic motivations for DNA-based prediction of human externally visible traits as well as the scientific challenges of finding predictive DNA markers, and will discuss examples with promising (e.g. sex, eye color and hair color), as well as less promising expectations (e.g. adult body height), in the foreseen future. Despite the complex ethical and legal implications arising from DNA-based prediction of externally visible characteristics, we argue that their use does not lead to a violation of privacy. We suggest that likelihood-based results, rather than DNA data itself, should be provided to the police for investigative purposes avoiding data protection issues. Furthermore, we note that the risk of exacerbating social pressure on minority groups due to DNA-based prediction of externally visible traits in crime cases may be reduced rather than increased compared to a conventional eyewitness testimony. A firm legal basis will need to be established for the application of these promising qualitative techniques. To gain the attention of legislative bodies, we invite the forensic community to participate in a public discourse of these issues.

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Year:  2009        PMID: 19414162     DOI: 10.1016/j.fsigen.2009.01.012

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


  40 in total

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2.  The more the merrier? How a few SNPs predict pigmentation phenotypes in the Northern German population.

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3.  Common DNA variants predict tall stature in Europeans.

Authors:  Fan Liu; A Emile J Hendriks; Arwin Ralf; Annemieke M Boot; Emelie Benyi; Lars Sävendahl; Ben A Oostra; Cornelia van Duijn; Albert Hofman; Fernando Rivadeneira; André G Uitterlinden; Stenvert L S Drop; Manfred Kayser
Journal:  Hum Genet       Date:  2013-11-20       Impact factor: 4.132

Review 4.  The future of forensic DNA analysis.

Authors:  John M Butler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-05       Impact factor: 6.237

5.  Potential relationship between single nucleotide polymorphisms used in forensic genetics and diseases or other traits in European population.

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Journal:  Int J Legal Med       Date:  2015-03-13       Impact factor: 2.686

Review 6.  Forensic Epigenetic Analysis: The Path Ahead.

Authors:  Seyed E Hasnain
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7.  A panel of 130 autosomal single-nucleotide polymorphisms for ancestry assignment in five Asian populations and in Caucasians.

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Review 8.  Identifiability in biobanks: models, measures, and mitigation strategies.

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9.  Comprehensive candidate gene study highlights UGT1A and BNC2 as new genes determining continuous skin color variation in Europeans.

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Journal:  Hum Genet       Date:  2012-10-11       Impact factor: 4.132

10.  Digital quantification of human eye color highlights genetic association of three new loci.

Authors:  Fan Liu; Andreas Wollstein; Pirro G Hysi; Georgina A Ankra-Badu; Timothy D Spector; Daniel Park; Gu Zhu; Mats Larsson; David L Duffy; Grant W Montgomery; David A Mackey; Susan Walsh; Oscar Lao; Albert Hofman; Fernando Rivadeneira; Johannes R Vingerling; André G Uitterlinden; Nicholas G Martin; Christopher J Hammond; Manfred Kayser
Journal:  PLoS Genet       Date:  2010-05-06       Impact factor: 5.917

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