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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Bodner, Martin Bastisch, Ingo Butler, John M. Fimmers, Rolf Gill, Peter Gusmão, Leonor Morling, Niels Phillips, Christopher Prinz, Mechthild Schneider, Peter M. Parson, Walther |
| Description | Country affiliation: Austria Author Affiliation: Bodner M ( Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.); Bastisch I ( Bundeskriminalamt, Wiesbaden, Germany.); Butler JM ( National Institute of Standards and Technology, Gaithersburg, MD, USA.); Fimmers R ( Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.); Gill P ( Norwegian Institute of Public Health, Department of Forensic Biology, Oslo, Norway); Gusmão L ( DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Brazil); Morling N ( Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.); Phillips C ( Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Galicia, Spain.); Prinz M ( Department of Sciences, John Jay College for Criminal Justice, New York, NY, USA.); Schneider PM ( Institute of Legal Medicine, Medical Faculty, University of Cologne, Cologne, Germany.); Parson W ( Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria) |
| 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. |
| File Format | HTM / HTML |
| ISSN | 18724973 |
| Journal | Forensic Science International: Genetics |
| Volume Number | 24 |
| e-ISSN | 18780326 |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2016-09-01 |
| Publisher Place | Netherlands |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Forensic Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics Pathology and Forensic Medicine |
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