Recombination analysis of autosomal short tandem repeats in Chinese Han families

Development and validation of novel 8-dye short tandem repeat multiplex system for forensic applications

DNA profiling of short tandem repeats (STRs) is the primary method for genotyping forensic samples. However, degraded DNA and trace samples are still major problems for commercial 5- or 6-dye STR kits. In order to improve the performance of this method, we developed a novel 8-dye STR multiplex system containing 18 autosomal loci (D3S1358, D1S1656, TPOX, D16S539, vWA, D6S1043, D2S1338, CSF1PO, D19S433, D7S820, FGA, D8S1179, D5S818, D13S317, TH01, D21S11, D12S391, and PentaD) and the sex-determining locus Amelogenin, with all fragments smaller than 330 bases. Validation was carried out as recommended by the Scientific Working Group on DNA Analysis Methods. The results showed that complete profiles were obtainable when the input DNA was as low as 0.0625 ng. Full profiles were obtained even in the presence of inhibitors such as humic acid (< 300 ng/μl), hematin (< 100 μM), and indigo (0.01%). The 8-dye STR multiplex system also showed good performance in the detection degraded DNA samples. These results indicate that the 8-dye STR multiplex system is suitable for human DNA genotyping, including for difficult forensic materials.

An evaluation of the SureID 23comp Human Identification Kit for kinship testing

Short tandem repeat (STR) profiling has been routinely used in kinship testing since the introduction of commercial kits in the mid-1990s. While 15 to 23 STR loci normally give definitive results in simple kinship testing, additional loci are sometimes required to resolve complex cases. The SureID 23comp Human Identification Kit, recently released by Health Gene Technologies (China), multiplexes amelogenin and 22 autosomal STRs, 17 of which are non-CODIS STRs. This enables the profiling of 38–40 loci when used in conjunction with widely used commercial kits. In this study, the kit was evaluated for kinship applications as a supplementary STR kit following the minimum criteria for validation recommended by the European Network of Forensic Science Institutes (ENFSI) and the Scientific Working Group on DNA Analysis Methods (SWGDAM) using 500 samples. Performance was comparable with other commercial kits demonstrating: repeatability and reproducibility; precision (maximum s.d. 0.1048 nt); accuracy, all alleles were within ±0.41 nt compared to the actual sizes; heterozygous peak balances at all loci >68%; stutter ratios ranged from 3.8% to 16.15%; full profiles were generated with 125 pg DNA (95.12% of alleles at 62 pg),; and we found 100% concordance over 5 common STRs with the GlobalFiler kit.

Analysis of linkage and linkage disequilibrium for syntenic STRs on 12 chromosomes

The purpose of this study is to evaluate allelic association and linkage of 18 adjacent syntenic short tandem repeat (STR) pairs form out of 30 markers located on 12 different autosomes. Linkage disequilibrium was tested by using the unknown gametic phase genotypes and phased haplotypes from 290 unrelated individuals from Chinese Han population. Genetic linkage analysis between syntenic STRs was performed based on 145 two-generation families which involved 628 meioses. The results showed no significant linkage disequilibrium at any STR pairs and independent inheritance between syntenic STR pairs was indicated. Significant linkage (maximum logarithm of odd (LOD) scores >3.0) was found in 6 out of the 18 adjacent syntenic STR pairs (D1S1627-D1S1677, CSF1PO-D5S818, D6S1017-D6S1043, D6S1043-D6S474, D12S391-vWA, and D19S253-D19S433). These significant linkage marker pairs had a genetic distance ranged from 11.94 to 41.33 cM deduced from HapMap. When recombination fractions determined in families were compared to those derived from Kosambi mapping function based on HapMap data, the latter may have an overestimation. In summary, our results demonstrated that product rule included syntenic STRs can be used for unrelated individual profile probability and the recombination fraction based on family data was superior to the estimation from HapMap for kinship analysis.