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French

Study statistics

Loci
27 Autosomal STRs
Allele type
Length-based alleles
Sample size
169

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Bibliographic information

Date published
July 1, 2020
Title
Sequenced-Based French Population Data from 169 Unrelated Individuals with Verogen’s ForenSeq DNA Signature Prep Kit
Authors
Anna Delest, Dominique Godfrin, Yann Chantrel, Ayhan Ulus, Julien Vannier, Magalie Faivre, Clémence Hollard, and François-Xavier Laurent
Journal
Forensic Science International: Genetics
Abstract

Massively Parallel Sequencing (MPS) applied to forensic genetics allows the simultaneous analysis of hundreds of genetic markers and the access to full amplicon sequences which help to increase available allele diversity. Meanwhile, sequence variation within the repeat regions represents the majority of the allele diversity, flanking regions adjacent to the repeat core provide an additional degree of variation. The forensic genetics community needs access to population data, from relevant parts of the world that contain this new sequence diversity in order to perform statistical calculations. In this study, we report sequence-based Short Tandem Repeat (STR) and identity Single Nucleotide Polymorphism (iSNPs) allele data for 169 French individuals across 58 STRs and 92 SNPs included in the Verogen ForenSeq DNA Signature Prep kit. 42 STRs out of 58 showed an increased number of alleles due to sequence variation in the repeat motif and/or the flanking regions. D9S1122 showed the largest overall gain with an increase of observed heterozygosities of almost 25 %. The combined match probability combining 27 autosomal STRs and 91 identity SNPs was 1.11E-69. Sequence-based allele frequencies included in this publication will help forensic laboratories to increase the power of discrimination for identification, kinship analysis and mixture interpretation.

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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
CSF1PO 156 0.142 2.438 0.795 0.734 0.684 0.858 0.590 0.092
D10S1248 169 0.104 2.561 0.805 0.763 0.723 0.896 0.608 0.921
D12S391 164 0.027 3.727 0.866 0.891 0.878 0.973 0.726 0.631
D13S317 169 0.102 2.817 0.823 0.764 0.727 0.898 0.641 0.905
D16S539 169 0.097 2.284 0.781 0.765 0.725 0.903 0.564 0.860
D17S1301 163 0.189 1.852 0.730 0.662 0.595 0.811 0.476 0.474
D18S51 169 0.033 4.225 0.882 0.875 0.859 0.967 0.758 0.717
D19S433 167 0.076 2.197 0.773 0.787 0.756 0.924 0.549 0.703
D1S1656 145 0.028 6.042 0.917 0.897 0.884 0.972 0.831 0.149
D20S482 169 0.127 2.347 0.787 0.728 0.688 0.873 0.575 0.116
D21S11 163 0.050 2.397 0.791 0.838 0.817 0.950 0.583 0.130
D22S1045 157 0.126 2.181 0.771 0.735 0.689 0.874 0.546 0.126
D2S1338 169 0.033 5.281 0.905 0.880 0.866 0.967 0.806 0.279
D2S441 169 0.098 2.284 0.781 0.769 0.730 0.902 0.564 0.280
D3S1358 169 0.073 1.921 0.740 0.798 0.764 0.927 0.492 0.201
D4S2408 169 0.111 1.921 0.740 0.740 0.693 0.889 0.492 0.958
D5S818 125 0.161 3.290 0.848 0.726 0.676 0.839 0.691 0.077
D6S1043 168 0.072 2.800 0.821 0.808 0.782 0.928 0.639 0.146
D7S820 163 0.065 3.396 0.853 0.820 0.791 0.935 0.700 0.641
D8S1179 167 0.063 2.694 0.814 0.816 0.790 0.937 0.626 0.341
D9S1122 167 0.154 1.815 0.725 0.695 0.637 0.846 0.467 0.886
FGA 166 0.040 2.677 0.813 0.857 0.838 0.960 0.624 0.348
PentaD 126 0.064 7.000 0.929 0.837 0.812 0.936 0.854 0.166
PentaE 103 0.030 7.357 0.932 0.893 0.878 0.970 0.861 0.947
TH01 169 0.089 2.224 0.775 0.782 0.744 0.911 0.554 0.225
TPOX 169 0.227 1.174 0.574 0.584 0.533 0.773 0.261 0.101
vWA 168 0.073 3.360 0.851 0.812 0.782 0.927 0.697 0.225

Allele frequencies

CSF1PO D10S1248 D12S391 D13S317 D16S539 D17S1301 D18S51 D19S433 D1S1656 D20S482 D21S11 D22S1045 D2S1338 D2S441 D3S1358 D4S2408 D5S818 D6S1043 D7S820 D8S1179 D9S1122 FGA PentaD PentaE TH01 TPOX vWA
5 0.0777 0.003
6 0.2604
7 0.004 0.0123 0.1553 0.1361
8 0.0032 0.1302 0.0207 0.2426 0.1626 0.006 0.0278 0.0097 0.1065 0.5917
9 0.0288 0.003 0.0651 0.1243 0.0207 0.3609 0.056 0.1994 0.021 0.009 0.1786 0.0097 0.2101 0.1036
9.3 0.2811
10 0.266 0.0444 0.0355 0.0184 0.0118 0.003 0.003 0.2219 0.2367 0.044 0.0238 0.2362 0.1108 0.024 0.1389 0.0583 0.003 0.0355
11 0.2756 0.003 0.3491 0.3077 0.4049 0.0059 0.003 0.0793 0.0325 0.1465 0.2899 0.1272 0.34 0.3065 0.1871 0.1018 0.2006 0.1865 0.1505 0.2337
11.3 0.068
12 0.3397 0.0473 0.2929 0.3047 0.3896 0.1893 0.0958 0.1172 0.0355 0.0064 0.0473 0.003 0.0325 0.352 0.2708 0.1534 0.1407 0.4072 0.1786 0.1699 0.0355
13 0.0737 0.284 0.0828 0.1805 0.1503 0.1361 0.2575 0.0483 0.1864 0.0127 0.0325 0.003 0.18 0.0625 0.046 0.3174 0.3144 0.2024 0.1165 0.003
13.2 0.012
14 0.0096 0.3314 0.0325 0.0237 0.0337 0.1095 0.3383 0.1034 0.432 0.0541 0.3018 0.1183 0.016 0.0506 0.0031 0.1856 0.0419 0.0794 0.0583 0.0893
14.2 0.0299
14.3 0.0069
15 0.0032 0.1598 0.0579 0.003 0.003 0.0031 0.1538 0.1437 0.1828 0.213 0.3471 0.0296 0.2308 0.008 0.0089 0.0898 0.003 0.004 0.0534 0.1012
15.2 0.0419
15.3 0.0862 0.003
16 0.142 0.0305 0.1272 0.0449 0.1241 0.071 0.3408 0.0355 0.0059 0.2663 0.0149 0.024 0.004 0.0728 0.2381
16.2 0.012
16.3 0.0448
17 0.0296 0.1402 0.1124 0.009 0.0483 0.003 0.0796 0.1923 0.1982 0.0476 0.003 0.0291 0.244
17.2 0.006
17.3 0.0152 0.0966
18 0.186 0.0828 0.003 0.0096 0.0769 0.1627 0.0744 0.003 0.0146 0.2202
18.2 0.003
18.3 0.0274 0.0586
19 0.0945 0.0207 0.0032 0.142 0.0178 0.1071 0.0843 0.0194 0.0863
19.3 0.0061 0.0034
20 0.122 0.0296 0.142 0.0268 0.1024 0.0049 0.0149
20.3 0.0061
21 0.1067 0.0089 0.0385 0.006 0.1657 0.003
21.1 0.003
21.2 0.003
22 0.1098 0.003 0.0207 0.2319
22.2 0.003
23 0.0671 0.0059 0.1006 0.1657
23.2 0.003
24 0.0244 0.1213 0.1145
24.2 0.003
25 0.0061 0.1006 0.0723
25.2 0.003
26 0.0031 0.0296 0.0331
27 0.0307 0.012
28 0.1074
29 0.2331
30 0.2699
30.2 0.046
31 0.0828
31.2 0.0828
32 0.0184
32.2 0.089
33.2 0.0276
34 0.0031
34.2 0.0061

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