Irina Perepechina, Professor of Department of Criminalistics of Legal faculty of Lomonosov Moscow State University. She has both medical and legal education, Ph.D. degree (1990) and Doctor of Medicine degree (2003) in forensic medicine (genetic identification). Her scientific interests focus on fo¬rensic DNA analysis, DNA evidence interpretation, DNA database, DNA phenotyping, forensic serology; legal aspects, theory and methodology of forensic science/medical law. She has more than 120 scientific publications and manuals. A member of ISFG; in 1995-1999 - representative of Russian Federation in DNA WG of ENFSI. At the University Dr. Irina Perepechina lectures forensic medicine, forensic genetics, criminalistics, forensic science.
Interpretation of probability values is a difficult phase of the DNA research, especially in cases when one can not achieve very convincing figures. The base calculated value - match probability, as well as its derivative value-LR, being considered by itself, carry limited information on these quantities in terms of the reliability of establishing the identity. However, if we express this values through a series of mathematical equivalents describing its content and evaluate all the data in the complex, it is possible to get extra information which can be useful for the assessing the risk of the identification mistake. It is also important that these equivalents may include new parameters that can deliberately be set. They may include such values as probability of uniqueness of the DNA profile in a specific population; probability that in the specific general population there is at least one more person, another than the suspect, whose genotype may also match the DNA profile of the object under examination; the probability that for a given level of reliability the accuracy of at least a certain number of identification studies is ensured, and so on. As the equivalent probability values describe different aspects of the same statistical model, the evaluation of their complex can be useful for the investigator and the court. The range of equivalent values may also be used to develop the standard of the determination of genetic identity.
Anna Barbaro, BSc in Biological Sciences, Diploma of postgraduate school of specialization in Applied Genetics (University of Rome “La Sapienza”), MSc in Psychological and Behavioural Techniques of Criminal Investigation, (University of Rome “La Sapienza”) European PhD in Forensic Generics, University of Santiago de Compostela (Spain). Director of Forensic Genetics Dept. (certified 17025) at Studio Indagini Mediche e Forensi (SIMEF) Italy. Teacher of Forensic Genetics at the 2nd level Master in Forensic Sciences,University of Rome "La Sapienza" . Forensic Genetics Expert of Italian Court of Justice. President of Worldwide Association of Women Forensic Experts (WAWFE). Past General Secretary of the Mediterranean Academy of Forensic Sciences (MAFS). Author of more than 100 papers and serving as an editorial board member of WAWFE Journal. Lecturer in national/international conferences. Expert Consultant for Italian Court of Justice and for the Defense
The SE33 (ACTP2—human actin beta-actin-related pseudogene H-beta-Ac-psi-2) is one of the most informative STR systems for biological identification. Variability of SE33 was studied in 2 Mediterranean populations (Calabria and Malta) using the AmpFlSTR NGM SElect™ PCR Amplification Kit (Applied Biosystems) and the PowerPlex ESI 17 (Promega). A total of 41 different alleles were observed in the 2 examined populations with no allele being more frequent than 10, 5%. In the Maltese population more intermediate alleles than in Calabria were found; moreover 6 out of ladder alleles were present. Allelic frequencies and statistical parameters of forensic interest (Dp, PE, RMP) were calculated using PowerStats v.1.2 software. Hardy-Weinberg equilibrium and other population parameters were calculated using Arlequin v.3.1 and TFPGA v1.3 softwares. No significant deviations from Hardy–Weinberg equilibrium were found. Allelic frequencies were compared to previously published population data and no significant differences were found. When comparing with Sicily no overall significant genetic distances were found, while comparison to other populations showed significant ones. Moreover comparison with non-European population showed no big distances between Germany and Morocco and between Hungary and Turkey. Results confirmed the usefulness of SE33 for forensic identification, which should be added to the set of STRs loci routinely studied in caseworks and in paternity cases.