Highlights
- •STRidER is a curated, freely accessible forensic autosomal STR database.
- •STRidER enables reliable allele frequency estimates from high-quality data.
- •STRidER innovatively offers quality control for autosomal STR data.
- •Autosomal STR datasets can be traced and metrics are provided.
- •STRidER can accommodate length-based STR alleles and sequence data.
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.
Keywords
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Article info
Publication history
Published online: June 13, 2016
Accepted:
June 11,
2016
Received:
June 11,
2016
Identification
Copyright
© 2016 Elsevier Ireland Ltd. All rights reserved.
