Estimations of Mutation Rates Depend on Population Allele Frequency Distribution: The Case of Autosomal Microsatellites

Mutational analysis of 23 autosomal short tandem repeats based on trio paternity testing in the Korean population

This study aimed to estimate A-STR mutation rates in 2,317 Korean parent-child trios by examining 20 Combined DNA Index System (CODIS) core loci (D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, CSF1PO, FGA, TH01, TPOX, vWA, D1S1656, D2S441, D2S1338, D10S1248, D12S391, D19S433, and D22S1045) and three non-CODIS loci (Penta E, Penta D, and SE33). Locus-specific mutation rate estimates varied from 0.00 to 8.63 × 10-3 per generation, with an average mutation rate of 1.62 × 10-3 (95 % CI, 1.39-1.88 × 10-3). We also combined data from previous studies to obtain comprehensive genetic values for the Korean population, and the average mutation rate was 1.59 × 10-3 (95 % CI, 1.38-1.82 × 10-3). Single-step mutations (95.69 %) and double-step mutations (3.35 %) were observed in the mutation pattern analysis, and cases expected to have multi-step mutations (0.96 %) were also observed. Large-sized alleles exhibited more loss mutations than gain mutations, and paternal mutations (62.68 %) were more frequently observed than maternal mutations (19.62 %). The calculated values and features of the 23 A-STRs explored in this study are expected to play a crucial role in establishing criteria for forensic genetic interpretation.

Microsatellites' mutation modeling through the analysis of the Y-chromosomal transmission: Results of a GHEP-ISFG collaborative study

The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) organized a collaborative study on mutations of Y-chromosomal short tandem repeats (Y-STRs). New data from 2225 father-son duos and data from 44 previously published reports, corresponding to 25,729 duos, were collected and analyzed. Marker-specific mutation rates were estimated for 33 Y-STRs. Although highly dependent on the analyzed marker, mutations compatible with the gain or loss of a single repeat were 23.2 times more likely than those involving a greater number of repeats. Longer alleles (relatively to the modal one) showed to be nearly twice more mutable than the shorter ones. Within the subset of longer alleles, the loss of repeats showed to be nearly twice more likely than the gain. Conversely, shorter alleles showed a symmetrical trend, with repeat gains being twofold more frequent than reductions. A positive correlation between the paternal age and the mutation rate was observed, strengthening previous findings. The results of a machine learning approach, via logistic regression analyses, allowed the establishment of algebraic formulas for estimating the probability of mutation depending on paternal age and allele length for DYS389I, DYS393 and DYS627. Algebraic formulas could also be established considering only the allele length as predictor for DYS19, DYS389I, DYS389II-I, DYS390, DYS391, DYS393, DYS437, DYS439, DYS449, DYS456, DYS458, DYS460, DYS481, DYS518, DYS533, DYS576, DYS626 and DYS627 loci. For the remaining Y-STRs, a lack of statistical significance was observed, probably as a consequence of the small effective size of the subsets available, a common difficulty in the modeling of rare events as is the case of mutations. The amount of data used in the different analyses varied widely, depending on how the data were reported in the publications analyzed. This shows a regrettable waste of produced data, due to inadequate communication of the results, supporting an urgent need of publication guidelines for mutation studies.