scholarly journals In the context of forensic casework, are there meaningful metrics of the degree of calibration?

Author(s):  
Geoffrey Stewart Morrison
Keyword(s):  
Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1146
Author(s):  
Angela Zissler ◽  
Walter Stoiber ◽  
Janine Geissenberger ◽  
Peter Steinbacher ◽  
Fabio C. Monticelli ◽  
...  

The present review provides an overview of the current research status on the effects of influencing factors on postmortem protein degradation used to estimate the PMI (postmortem interval). Focus was set on characteristics of internal and external influencing factors and the respective susceptibility and/or robustness of protein degradation. A systematic literature search up to December 2020 was conducted on the effect of influencing factors investigated in the context of postmortem protein degradation in the tissues of animals and humans using the scientific databases PubMed and Google Scholar, as well as the reference lists of eligible articles. We identified ten studies investigating a total of seven different influencing factors in degrading tissues/organs (n = 7) of humans and animals using six different methodological approaches. Although comparison of study outcomes was impeded by the high variety of investigated factors, and by high risk of bias appraisals, it was evident that the majority of the influencing factors concerned affected protein degradation, thus being able to modulate the precision of protein degradation-based PMI estimation. The results clearly highlight the need for a thorough screening for corresponding factors to enable the introduction of appropriate correction factors and exclusion criteria. This seems especially relevant for the protein degradation-based study of human PMI to increase the reliability and precision of the method and to facilitate a broader applicability in routine forensic casework.


2006 ◽  
Vol 1288 ◽  
pp. 750-752 ◽  
Author(s):  
U. Ricci ◽  
C. Marchi ◽  
C. Previderè ◽  
P. Fattorini

2000 ◽  
Vol 113 (1-3) ◽  
pp. 103-107 ◽  
Author(s):  
Klaus Bender ◽  
Peter M. Schneider ◽  
Christian Rittner

2016 ◽  
Vol 264 ◽  
pp. 34-40 ◽  
Author(s):  
Rachel L. McElhone ◽  
Georgina E. Meakin ◽  
James C. French ◽  
Tracy Alexander ◽  
Ruth M. Morgan

2009 ◽  
Vol 11 ◽  
pp. S106-S108 ◽  
Author(s):  
Tomoharu Tokutomi ◽  
Yuzo Takada ◽  
Takako Murayama ◽  
Masahiro Mukaida ◽  
Jun Kanetake

2018 ◽  
Vol 52 (3) ◽  
pp. 282-292
Author(s):  
S. K. Vintiner ◽  
J. S. Veth ◽  
J.-A. Bright

2012 ◽  
Vol 44 (2) ◽  
pp. 135-144 ◽  
Author(s):  
Jo-Anne Bright ◽  
Johanna S. Veth ◽  
Susan K. Vintiner ◽  
Sarah L. Cockerton ◽  
Nicholas Curnow ◽  
...  

Biologija ◽  
2015 ◽  
Vol 61 (2) ◽  
Author(s):  
Giedrė Ruzgaitė ◽  
Marija Čaplinskienė ◽  
Rima Baranovienė ◽  
Jūratė Jankauskienė ◽  
Jolanta Kukienė ◽  
...  

This paper presents a comprehensive Y-chromosomal STR haplotype analysis in the Lithuanian population in order to evaluate Lithuanians’ Y chromosome diversity, to infer genetic relations between Lithuanian and other European neighbouring populations and to introduce population reference data for generation of reliable Y-STR haplotype frequency estimates to be used in the quantitative assessment of Y-STR haplotype match in the forensic casework. Data were collected from the peripheral blood samples of 194 unrelated males throughout various regions of Lithuania. The amplification of 17 Y-STRs was carried out in one multiplex PCR using an  AmpFlSTR® Yfiler<sup>TM</sup> PCR Amplication Kit according to the supplier’s protocol. The results indicated that the Y-chromosomal haplotype diversity in the Lithuanian population rises as the  number of the  analyzed Y-STRs is increased. However, all additional Y-STR loci are not hypervariable and only their whole makes a large diversity of Y-STR haplotypes in Lithuanian males. The  analysis of molecular variance revealed low but significant interpopulation differences except the pair of Lithuanian and Latvian populations. The  phylogenetic analysis showed that the  clustered Y chromosome gene pool of Lithuanians and Latvians has a closer phylogenetic relation to Russian and Estonian populations and is less genetically related to other neighbouring populations of Belarus and Poland. Yet Y-STRs alleles and haplotypes differentiate effectively inside the  Lithuanian population and between Lithuanians and its geographical neighbours excluding the  Latvian population. Comparison of the Y-STR data suggests that Lithuanian and Latvian populations are closely related not only by geography and language but also by the Y chromosome gene pool represented by forensic Y-STR markers. Consequently, more forensic Y-STR markers should be included in the Y-STR haplotype in order to achieve a resolution between the  Y chromosomes of Lithuanian and Latvian males. Lithuanian Y-STR haplotype data were submitted to the 34th release of the Y-STR Haplotype Reference Database 3.0 for match probability calculations in the forensic casework.


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