Literature DB >> 15040920

The EDNAP mitochondrial DNA population database (EMPOP) collaborative exercises: organisation, results and perspectives.

Walther Parson1, Anita Brandstätter, Antonio Alonso, Nathalie Brandt, Bernd Brinkmann, Angel Carracedo, Daniel Corach, Olivier Froment, Ivana Furac, Tomasz Grzybowski, Karin Hedberg, Christine Keyser-Tracqui, Tomasz Kupiec, Sabine Lutz-Bonengel, Bente Mevag, Rafal Ploski, Hermann Schmitter, Peter Schneider, Denise Syndercombe-Court, Eric Sørensen, Heather Thew, Gillian Tully, Richard Scheithauer.   

Abstract

This paper presents an overview of the organisation and the results of the collaborative exercises (CE) of the European DNA Profiling (EDNAP) Group's mitochondrial DNA population database project (EMPOP). The aim of the collaborative exercises was to determine whether uniformity of mtDNA sequencing results could be achieved among different laboratories. These were asked to sequence either the complete mtDNA control region or the two hypervariable regions HVI (16024-16365) and HVII (73-340) from DNA extracts, buccal swabs or bloodstains, proceeding in accordance with the protocol and strategies used in each individual laboratory. The results of the collaborative exercises were employed to identify possible sources of errors that could arise during the analysis and interpretation of mtDNA profiles. These findings were taken as a basis to tentatively make suitable arrangements for the construction of a high quality mtDNA database. One hundred fifty mtDNA profiles were submitted to the evaluating laboratory, and disaccording profiles were classified into four groups corresponding to the source of error: clerical errors, sample mix-ups, contaminations and discrepancies with respect to the mtDNA nomenclature. Overall, 14 disaccording haplotypes (16 individual errors) were observed. The errors included 10 clerical errors, 3 interpretation problems, 2 cases of sample mix-up and 1 case of point heteroplasmic mixture, where the 2 sequencing reactions brought inconsistent base calls. This corresponds to an error rate of 10.7% in a virtual mtDNA database consisting of the collaborative exercise results. However, this estimate is still conservative compared to conclusions drawn by authors of meanwhile numerous publications critically reviewing published mtDNA population databases. Our results and earlier published concerns strongly emphasize the need for appropriate safety regulations when mtDNA profiles are compiled for database purposes in order to accomplish the high standard required for mtDNA databases that are used in the forensic context.

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Year:  2004        PMID: 15040920     DOI: 10.1016/j.forsciint.2003.11.008

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  20 in total

1.  Mitochondrial DNA control region sequences from Nairobi (Kenya): inferring phylogenetic parameters for the establishment of a forensic database.

Authors:  Anita Brandstätter; Christine T Peterson; Jodi A Irwin; Solomon Mpoke; Davy K Koech; Walther Parson; Thomas J Parsons
Journal:  Int J Legal Med       Date:  2004-10       Impact factor: 2.686

2.  Publication of population data of linearly inherited DNA markers in the International Journal of Legal Medicine.

Authors:  Walther Parson; Lutz Roewer
Journal:  Int J Legal Med       Date:  2010-07-22       Impact factor: 2.686

3.  Subtyping mtDNA haplogroup H by SNaPshot minisequencing and its application in forensic individual identification.

Authors:  P Grignani; G Peloso; A Achilli; C Turchi; A Tagliabracci; M Alù; G Beduschi; U Ricci; L Giunti; C Robino; S Gino; C Previderè
Journal:  Int J Legal Med       Date:  2005-12-07       Impact factor: 2.686

4.  Application of a quasi-median network analysis for the visualization of character conflicts to a population sample of mitochondrial DNA control region sequences from southern Germany (Ulm).

Authors:  Anita Brandstätter; Rachel Klein; Nina Duftner; Peter Wiegand; Walther Parson
Journal:  Int J Legal Med       Date:  2006-07-27       Impact factor: 2.686

5.  Forensic mass screening using mtDNA.

Authors:  Reinhard Szibor; Ines Plate; Herrmann Schmitter; Holger Wittig; Dieter Krause
Journal:  Int J Legal Med       Date:  2006-04-01       Impact factor: 2.686

6.  Italian mitochondrial DNA database: results of a collaborative exercise and proficiency testing.

Authors:  Chiara Turchi; Loredana Buscemi; Carlo Previderè; Pierangela Grignani; Anita Brandstätter; Alessandro Achilli; Walther Parson; Adriano Tagliabracci
Journal:  Int J Legal Med       Date:  2007-10-20       Impact factor: 2.686

7.  The SNPforID browser: an online tool for query and display of frequency data from the SNPforID project.

Authors:  Jorge Amigo; Christopher Phillips; Maviky Lareu; Angel Carracedo
Journal:  Int J Legal Med       Date:  2008-05-20       Impact factor: 2.686

8.  Single lymphocytes from two healthy individuals with mitochondrial point heteroplasmy are mainly homoplasmic.

Authors:  Sabine Lutz-Bonengel; Timo Sänger; Walther Parson; Helena Müller; Joachim W Ellwart; Marie Follo; Bernhard Bonengel; Harald Niederstätter; Marielle Heinrich; Ulrike Schmidt
Journal:  Int J Legal Med       Date:  2007-10-06       Impact factor: 2.686

9.  Detection of hepatitis B virus (HBV) genotype E carried--even in the presence of high titers of anti-HBs antibodies--by an Argentinean patient of African descent who had received vaccination against HBV.

Authors:  Verónica L Mathet; María L Cuestas; Vanesa Ruiz; María L Minassian; Cintia Rivero; Julieta Trinks; Graciela Daleoso; Liliana M León; Andrea Sala; Beatriz Libellara; Daniel Corach; José R Oubiña
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

10.  Massively parallel sequencing of human skeletal remains in Vietnam using the precision ID mtDNA control region panel on the Ion S5™ system.

Authors:  May Thi Anh Ta; Nam Ngoc Nguyen; Duc Minh Tran; Trang Hong Nguyen; Tuan Anh Vu; Dung Thi Le; Phuong Thi Le; Thu Thi Hong Do; Ha Hoang; Hoang Ha Chu
Journal:  Int J Legal Med       Date:  2021-07-01       Impact factor: 2.686

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