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STRidER: Germany

Study statistics

Loci
16 Autosomal STRs
Allele type
Length-based alleles
Sample size
662
Population
Unknown

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Bibliographic information

Date published
2016
Title
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)
Authors
Martin Bodner, Ingo Bastisch, John M. Butler, Rolf Fimmers, Peter Gill, Leonor Gusmão, Niels Morling, Christopher Phillips, Mechthild Prinz, Peter M. Schneider, and Walther Parson
Journal
Forensic Science International: Genetics
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.

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Normalized frequencies
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Forensic parameters

Forensic parameters for each locus as reported by the authors.
Locus # MP PI Hobs Hexp PIC PD PE HWE
D10S1248 662 - - - - - - - -
D12S391 662 - - - - - - - -
D16S539 662 - - - - - - - -
D18S51 662 - - - - - - - -
D19S433 662 - - - - - - - -
D1S1656 662 - - - - - - - -
D21S11 662 - - - - - - - -
D22S1045 662 - - - - - - - -
D2S1338 662 - - - - - - - -
D2S441 662 - - - - - - - -
D3S1358 662 - - - - - - - -
D8S1179 662 - - - - - - - -
FGA 662 - - - - - - - -
SE33 662 - - - - - - - -
TH01 662 - - - - - - - -
VWA 662 - - - - - - - -

Allele frequencies

D10S1248 D12S391 D16S539 D18S51 D19S433 D1S1656 D21S11 D22S1045 D2S1338 D2S441 D3S1358 D8S1179 FGA SE33 TH01 VWA
1 0.000755287 0.000755287 0.000755287
5 0.00151057
6 0.226586
7 0.148036
8 0.021148 0.00151057 0.0128399 0.138973
8.3 0.000755287
9 0.111782 0.0128399 0.000755287 0.175227
9.3 0.293051
10 0.0641994 0.0128399 0.00226586 0.000755287 0.185045 0.0876133 0.015861
11 0.0060423 0.290785 0.00906344 0.00528701 0.0936556 0.126133 0.349698 0.000755287 0.0777946 0.000755287
11.2 0.000755287
11.3 0.0528701
12 0.0279456 0.28852 0.14426 0.0717523 0.123112 0.0113293 0.0445619 0.000755287 0.141994 0.00377644
12.2 0.00226586
12.3 0.00151057 0.000755287
13 0.265861 0.193353 0.132931 0.233384 0.0725076 0.00830816 0.0234139 0.00377644 0.312689 0.00981873 0.00226586
13.2 0.0173716 0.000755287
14 0.304381 0.0302115 0.151813 0.359517 0.0830816 0.0506042 0.293807 0.115559 0.19864 0.0287009 0.097432
14.2 0.0226586 0.000755287
14.3 0.00226586 0.00151057
15 0.201662 0.0362538 0.164653 0.156344 0.140483 0.372356 0.000755287 0.0460725 0.231118 0.119335 0.0377644 0.103474
15.2 0.0460725 0.000755287
15.3 0.0574018 0.000755287
16 0.154079 0.0347432 0.121601 0.0490937 0.104985 0.337613 0.0438066 0.00151057 0.246224 0.0302115 0.0460725 0.221299
16.2 0.0256798
16.3 0.000755287 0.060423 0.00226586
17 0.0354985 0.100453 0.120091 0.00302115 0.0566465 0.0845921 0.22432 0.228097 0.0060423 0.00226586 0.070997 0.254532
17.1 0.00151057
17.2 0.00377644
17.3 0.0166163 0.132175 0.00226586
18 0.00377644 0.172961 0.0717523 0.0060423 0.00679758 0.0853474 0.155589 0.015861 0.06571 0.220544
18.2 0.00226586
18.3 0.0173716 0.0483384 0.00151057
19 0.103474 0.0354985 0.000755287 0.00151057 0.102719 0.0181269 0.0777946 0.0770393 0.0861027
19.2 0.00302115
19.3 0.00906344 0.0135952
20 0.139728 0.0173716 0.14426 0.139728 0.0506042 0.0128399
20.2 0.00302115 0.0143505
20.3 0.00302115 0.000755287
21 0.110272 0.010574 0.0354985 0.182024 0.0226586 0.000755287
21.2 0.00226586 0.0135952
22 0.120091 0.00679758 0.0241692 0.182024 0.00981873
22.1 0.000755287
22.2 0.00679758 0.0302115
23 0.0808157 0.000755287 0.115559 0.14577 0.00302115
23.2 0.00528701 0.0400302
24 0.0377644 0.092145 0.129154
24.2 0.000755287 0.000755287 0.0256798
25 0.0143505 0.000755287 0.109517 0.0785498
25.2 0.000755287 0.00151057 0.0422961
26 0.00151057 0.000755287 0.0203927 0.0219033
26.2 0.0664653
26.3 0.00151057
27 0.0385196 0.000755287 0.00377644
27.2 0.0861027
28 0.151057 0.000755287
28.2 0.000755287 0.076284
29 0.207704 0.000755287
29.2 0.000755287 0.0543807
30 0.223565 0.000755287
30.2 0.0407855 0.0521148
31 0.0777946
31.2 0.0898792 0.026435
32 0.0173716
32.2 0.106495 0.0128399
33 0.000755287 0.00302115
33.1 0.000755287
33.2 0.0324773 0.0060423
34 0.00151057
34.2 0.00755287 0.000755287
35 0.00226586
35.2 0.000755287
36 0.000755287
36.2 0.000755287
99 0.000755287

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