Paternity testing using massively parallel sequencing and the PowerSeq™ AUTO/Y system for short tandem repeat sequencing.

Massively parallel sequencing (MPS) is gaining attention as a new technology for routine forensic casework, including paternity testing. Recently released MPS multiplex panels provide many more loci compared to CE methods, plus provide sequence-based alleles that together improve the statistical power of the genetic testing. Here, an MPS system (PowerSeq™ AUTO/Y) was applied for STR sequencing in the study of first-degree STR sequence allele inheritance from families in Southern Brazil. In 29 trios (mother-child-father) analyzed, the paternity index values generally increased when data from sequence-based analysis were used in comparison to length-based data. Further, allele inconsistencies (e.g., single repeat mutation events) between child and parents could be resolved with MPS by assessing the core repeat and flanking region sequences. Lastly, the sequence information allowed for identification of isoalleles (alleles of the same size, but different sequence) to determine specific paternal and maternal inheritances. The results from this study showed advantages of implementing sequence-based analysis, MPS, in paternity testing with improved statistical calculations and a greater resolution for the trios/families tested.

Genetic analysis of Southern Brazil subjects using the PowerSeq™ AUTO/Y system for short tandem repeat sequencing.

With the advent of Next-Generation Sequencing technology, sequencing of short tandem repeats (STRs) allows for a more detailed analysis when compared to size-based fragment methods (capillary electrophoresis-CE). The implementation of high-throughput sequencing can help uncover deeper genetic diversities of different populations. Subjects from the South region of Brazil present a particular and more homogeneous ancestry background when compared to other regions of the country. Both autosomal and Y- STRs have been analyzed in these individuals; however, all analyses published to date encompass data from CE-based fragment analysis. In this study, a genetic analysis of 59 individuals from Southern Brazil was performed on STR sequences. Forensically relevant STRs were PCR-enriched using a prototype of the PowerSeq™ AUTO/Y system (Promega Corp.). Next-generation sequencing was performed on an Illumina MiSeq instrument. The raw data (FASTQ files) were processed using a custom designed sequence processing tool, Altius. Isoalleles, which are sequence-based allelic variants that do not differ in length, were observed in nine autosomal and in six Y- STRs from the core global forensic marker set. The number of distinctive alleles based on sequence was higher when compared to those based on length, 37.3% higher in autosomal STRs and 13.8% higher in Y-STRs. The most polymorphic autosomal locus was D12S391, which presented 38 different sequence-based alleles. Among the loci in the Y chromosome, DYS389II presented the highest number of isoalleles. In comparison to CE analysis, Observed and Expected Heterozygosity, Polymorphic Information Content (PIC) and Genetic Diversity also presented higher values when the alleles were analyzed based on their sequence. For autosomal loci, Polymorphic Information Content (PIC) was 2.6% higher for sequence-based data. Diversity was 9.3% and 6.5% higher for autosomal and Y markers, respectively. In the analysis of the repeat structures for the STR loci, a new allele variant was found for allele 18 in the vWA locus. The STR flanking regions were also further investigated and sixteen variations were observed at nine autosomal STR loci and one Y-STR locus. The results obtained in this study demonstrate the importance of genetic analysis based on sequencing and highlight the diversity of the South Brazilian population when characterized by STR sequencing.

Ewing's sarcoma: analysis of single nucleotide polymorphism in the EWS gene.

We aimed to investigate single nucleotide polymorphisms (SNPs) in the EWS gene breaking region in order to analyze Ewing's sarcoma susceptibility. The SNPs were investigated in a healthy subject population and in Ewing's sarcoma patients from Southern Brazil. Genotyping was performed by TaqMan® assay for allelic discrimination using Real-Time PCR. The analysis of incidence of SNPs or different SNP-arrangements revealed a higher presence of homozygote TT-rs4820804 in Ewing's sarcoma patients (p=0.02; Chi Square Test). About 300 bp from the rs4820804 SNP lies a palindromic hexamer (5'-GCTAGC-3') and three nucleotides (GTC), which were previously identified to be in close vicinity of the breakpoint junction in both EWS and FLI1 genes. This DNA segment surrounding the rs4820804 SNP is likely to indicate a breakpoint region. If the T-rs4820804 allele predisposes a DNA fragment to breakage, homozygotes (TT-rs4820804) would have double the chance of having a chromosome break, increasing the chances for a translocation to occur. In conclusion, the TT-rs4820804 EWS genotype can be associated with Ewing's sarcoma and the SNP rs4820804 can be a candidate marker to understand Ewing's sarcoma susceptibility.