Literature DB >> 26392194

Logical Framework of Forensic Identification: Ability to Resist Fabricated DNA.

Zheng Wang1,2, Di Zhou3, Suhua Zhang1,2, Yingnan Bian1, Zhen Hu1, Ruxin Zhu1, Daru Lu2, Chengtao Li4.   

Abstract

Over the past 30 years, DNA analysis has revolutionized forensic science and has become the most useful single tool in the multifaceted fight against crime. Today, DNA profiling with sets of highly polymorphic autosomal short tandem repeat markers is widely employed and accepted in the courts due to its high discriminating power and reliability. However, an artificial bloodstain purposefully created using molecular biology techniques succeeded in tricking a leading forensic DNA laboratory. The disturbing possibility that a forensic DNA profile can be faked shocked the general public and the mass media, and generated serious discussion about the credibility of DNA evidence. Herein, we present two exemplary assays based on tissue-specific methylation patterns and cell-specific mRNA expression, respectively. These two assays can be integrated into the DNA analysis pipelines without consumption of additional samples. We show that the two assays can not only distinguish between artificial and genuine samples, but also provide information on tissue origin. The two assays were tested on natural and artificial bloodstains (generated by polymerase chain reaction and whole genome amplification technique) and the results illustrated that the logical framework of forensic identification is still useful for forensic identification with the high credibility.

Keywords:  Artificial DNA; Body fluid identification; Forensic identification; Methylation; mRNA

Mesh:

Substances:

Year:  2015        PMID: 26392194     DOI: 10.1007/s12033-015-9893-y

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  18 in total

1.  Authentication of forensic DNA samples [Forensic Sci. Int. Genet. (2009)].

Authors:  Mark Barash
Journal:  Forensic Sci Int Genet       Date:  2010-02-02       Impact factor: 4.882

2.  The development of a mRNA multiplex RT-PCR assay for the definitive identification of body fluids.

Authors:  Rachel I Fleming; SallyAnn Harbison
Journal:  Forensic Sci Int Genet       Date:  2009-12-14       Impact factor: 4.882

3.  Authentication of forensic DNA samples.

Authors:  Niels Morling; Peter M Schneider; Wolfgang Mayr; Leonor Gusmao; Mechthild Prinz
Journal:  Forensic Sci Int Genet       Date:  2010-01-19       Impact factor: 4.882

4.  DNA methylation-based forensic tissue identification.

Authors:  Dan Frumkin; Adam Wasserstrom; Bruce Budowle; Ariane Davidson
Journal:  Forensic Sci Int Genet       Date:  2010-12-31       Impact factor: 4.882

Review 5.  DNA methylation: the nuts and bolts of repression.

Authors:  Tina Branscombe Miranda; Peter A Jones
Journal:  J Cell Physiol       Date:  2007-11       Impact factor: 6.384

6.  Identification of forensically relevant body fluids using a panel of differentially expressed microRNAs.

Authors:  Erin K Hanson; Helge Lubenow; Jack Ballantyne
Journal:  Anal Biochem       Date:  2009-02-03       Impact factor: 3.365

7.  Potential forensic application of DNA methylation profiling to body fluid identification.

Authors:  Hwan Young Lee; Myung Jin Park; Ajin Choi; Ja Hyun An; Woo Ick Yang; Kyoung-Jin Shin
Journal:  Int J Legal Med       Date:  2011-04-06       Impact factor: 2.686

8.  Authentication of forensic DNA samples.

Authors:  Dan Frumkin; Adam Wasserstrom; Ariane Davidson; Arnon Grafit
Journal:  Forensic Sci Int Genet       Date:  2009-07-16       Impact factor: 4.882

9.  Development of a 20-locus fluorescent multiplex system as a valuable tool for national DNA database.

Authors:  Xianhua Jiang; Fei Guo; Fei Jia; Ping Jin; Zhu Sun
Journal:  Forensic Sci Int Genet       Date:  2012-12-21       Impact factor: 4.882

10.  Screening and confirmation of microRNA markers for forensic body fluid identification.

Authors:  Zheng Wang; Ji Zhang; Haibo Luo; Yi Ye; Jing Yan; Yiping Hou
Journal:  Forensic Sci Int Genet       Date:  2012-08-19       Impact factor: 4.882

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