Universität zu Köln

Bodner, Martin ORCID: 0000-0002-3870-9862, Bastisch, Ingo, Butler, John M., Fimmers, Rolf, Gill, Peter, Gusmao, Leonor ORCID: 0000-0003-0432-6481, Morling, Niels ORCID: 0000-0002-9463-5087, Phillips, Christopher ORCID: 0000-0002-9601-0128, Prinz, Mechthild, Schneider, Peter M. ORCID: 0000-0003-0744-2349 and Parson, Walther ORCID: 0000-0002-5692-2392 (2016). Recommendations of the DNA Commission of the International Society for Forensic Genetics (ISFG) on quality control of autosomal Short Tandem Repeat allele frequency databasing (STRidER). Forensic Sci. Int.-Genet., 24. S. 97 - 103. CLARE: ELSEVIER IRELAND LTD. ISSN 1878-0326

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Abstract

The statistical evaluation of autosomal Short Tandem Repeat (STR) genotypes is based on allele frequencies. These are empirically determined from sets of randomly selected human samples, compiled into STR databases that have been established in the course of population genetic studies. There is currently no agreed procedure of performing quality control of STR allele frequency databases, and the reliability and accuracy of the data are largely based on the responsibility of the individual contributing research groups. It has been demonstrated with databases of haploid markers (EMPOP for mitochondrial mtDNA, and YHRD for Y-chromosomal loci) that centralized quality control and data curation is essential to minimize error. The concepts employed for quality control involve software-aided likelihood-of-genotype, phylogenetic, and population genetic checks that allow the researchers to compare novel data to established datasets and, thus, maintain the high quality required in forensic genetics. Here, we present STRidER (http://strider.online), a publicly available, centrally curated online allele frequency database and quality control platform for autosomal STRs. STRidER expands on the previously established ENFSI DNA WG STRbASE and applies standard concepts established for haploid and autosomal markers as well as novel tools to reduce error and increase the quality of autosomal STR data. The platform constitutes a significant improvement and innovation for the scientific community, offering autosomal STR data quality control and reliable STR genotype estimates. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Bodner, Martin UNSPECIFIED orcid.org/0000-0002-3870-9862 UNSPECIFIED Bastisch, Ingo UNSPECIFIED UNSPECIFIED UNSPECIFIED Butler, John M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Fimmers, Rolf UNSPECIFIED UNSPECIFIED UNSPECIFIED Gill, Peter UNSPECIFIED UNSPECIFIED UNSPECIFIED Gusmao, Leonor UNSPECIFIED orcid.org/0000-0003-0432-6481 UNSPECIFIED Morling, Niels UNSPECIFIED orcid.org/0000-0002-9463-5087 UNSPECIFIED Phillips, Christopher UNSPECIFIED orcid.org/0000-0002-9601-0128 UNSPECIFIED Prinz, Mechthild UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, Peter M. UNSPECIFIED orcid.org/0000-0003-0744-2349 UNSPECIFIED Parson, Walther UNSPECIFIED orcid.org/0000-0002-5692-2392 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-265201
DOI:	10.1016/j.fsigen.2016.06.008
Journal or Publication Title:	Forensic Sci. Int.-Genet.
Volume:	24
Page Range:	S. 97 - 103
Date:	2016
Publisher:	ELSEVIER IRELAND LTD
Place of Publication:	CLARE
ISSN:	1878-0326
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language POPULATION-DATA; MTDNA DATA; STR; MARKERS; NOMENCLATURE; GUIDELINES; PUBLICATION; FINGERPRINT; MULTIPLEXES; MUTATIONS Multiple languages Genetics & Heredity; Medicine, Legal Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/26520