Literature DB >> 10978611

Mitochondrial DNA in the Central European population. Human identification with the help of the forensic mt-DNA D-loop-base database.

H Wittig1, C Augustin, A Baasner, U Bulnheim, N Dimo-Simonin, J Edelmann, S Hering, S Jung, S Lutz, M Michael, W Parson, M Poetsch, P M Schneider, G Weichhold, D Krause.   

Abstract

Sequencing of mtDNA is an advanced method for the individualisation of traces. Disadvantages of this method are expensive and time-consuming analysis and evaluation procedures as well as the necessary stock of population-genetic data which is still insufficient. Central European institutes of forensic medicine from Germany, Austria, and Switzerland have been working together since the beginning of 1998 to establish a mtDNA database. The aim is to build up a large stock of forensically established data and provide population-genetic data for frequency investigations, which will serve as a basis for expert opinions and scientific research. Good data quality is ensured by using original sequences only. Ring tests, which have been conducted to enhance analytical reliability, revealed a high correspondence rate of the analytical results obtained by the individual member institutes. Today 1410 sequences are available for comparison, of which 1285 sequences in the HV1 and HV2 regions cover the full ranges from 16051 to 16365 and from 73 to 340 (according to Anderson). The major part is formed by Central European sequences comprising 1256 data sets from Germany, Austria, and Switzerland. Today the database contains sequences from a total of 12 European, six African and three Asian countries including 100 sequences from Japan. This paper is aimed at discussing the individualisation potentials of mtDNA as well as the possibilities and limits of ethnic differentiation by means of pairwise sequence differences on the basis of the data stock available.

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Year:  2000        PMID: 10978611     DOI: 10.1016/s0379-0738(00)00250-4

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


  8 in total

1.  Identification of the minor component of a mixed stain by using mismatch primer-induced restriction sites in amplified mtDNA.

Authors:  R Szibor; M Michael; I Plate; H Wittig; D Krause
Journal:  Int J Legal Med       Date:  2003-04-09       Impact factor: 2.686

2.  Continental and subcontinental distributions of mtDNA control region types.

Authors:  Peter Forster; Francesco Calì; Arne Röhl; Ene Metspalu; Rosalba D'Anna; Mario Mirisola; Giacomo De Leo; Anna Flugy; Alfredo Salerno; Giovanni Ayala; Anastasia Kouvatsi; Richard Villems; Valentino Romano
Journal:  Int J Legal Med       Date:  2002-04       Impact factor: 2.686

3.  Sequence polymorphisms within the human mitochondrial genes MTATP6, MTATP8 and MTND4.

Authors:  Sabine Lutz-Bonengel; Ulrike Schmidt; Tanja Schmitt; Stefan Pollak
Journal:  Int J Legal Med       Date:  2003-05-06       Impact factor: 2.686

4.  Mitochondrial DNA D-loop hypervariable regions: Czech population data.

Authors:  T Vanecek; F Vorel; M Sip
Journal:  Int J Legal Med       Date:  2003-10-31       Impact factor: 2.686

5.  Typing of 24 mtDNA SNPs in a Chinese population using SNaPshot minisequencing.

Authors:  Daixin Huang; Cheng Gui; Shaohua Yi; Qingen Yang; Rongzhi Yang; Kun Mei
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2010-06-17

6.  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

7.  Genetic polymorphism analysis of mitochondrial DNA from Chinese Xinjiang Kazak ethnic group by a novel mitochondrial DNA genotyping panel.

Authors:  Tong Xie; Li Hu; Yu-Xin Guo; Yu-Chun Li; Feng Chen; Bo-Feng Zhu
Journal:  Mol Biol Rep       Date:  2018-11-17       Impact factor: 2.316

8.  The genome profiling method can be applied for species identification of biological materials collected at crime scenes.

Authors:  Takako Kinebuchi; Nozomi Idota; Hajime Tsuboi; Marin Takaso; Risa Bando; Hiroshi Ikegaya
Journal:  BMC Genet       Date:  2019-06-10       Impact factor: 2.797

  8 in total

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