Highlights
- •A sequence simplification strategy was introduced.
- •More stutter variants—including N-4, N-3, N-2, N0, N + 1, and N + 2—were studied.
- •One-repeat-unit-longer stutters (or PAs) were better predictors for backward stutters.
- •Co-stuttering patterns were observed between two adjacent continuous motifs.
Abstract
Despite improvements in characterizing stutters of short tandem repeats (STRs), the
relationships among the amounts of stutter variants and the relationships among motifs
are not well understood yet. In the present study, 750 peripheral blood samples from
human subjects were included to characterize the stutters of 58 STRs via the ForenSeq
DNA Signature Prep Kit on a MiSeq FGx instrument. Alleles and corresponding stutter
products were identified with a sequence simplification procedure. After screening,
26,921 alleles were included, that resulted in over 50 million reads, among which
8.69% were stutter products. Among these stutter products, 83.44% were N-1 stutters.
Additionally, N-4, N-3, N-2, N0, N + 1, and N + 2 variants accounted for 0.11%, 0.77%,
6.45%, 3.01%, 5.95%, and 0.25% of the stutter products, respectively. For backward
stutters, stutter products correlated best with the corresponding one-unit-longer
stutter (or parental allele), which may represent a good predictor for backward stutters.
For forward stutters, the N + 2 stutter correlated best with the N + 1 stutter, whereas
the N + 1 stutter correlated best with the N-1 stutter rather than the expected parental
allele, which indicated that the patterns were more complex for forward stutters.
Additionally, some interesting findings were obtained for D21S11. For two adjacent
contiguous motifs, co-stuttering patterns were observed where one motif tended to
increase one repeat unit while the other motif decreased one repeat unit, whereas
the inter-motif dependency was not significant for interrupted motifs. In conclusion,
with massively parallel sequencing technology and our sequence simplification strategy,
sequence variations within alleles and stutter products were identified, which was
useful to determine the origin of stutters, identify more stutter variants, and explore
the relationships among motifs. These findings may be helpful for allele designation,
a deeper understanding of the mechanism of stutter, and improving resolution in forensic
mixture analyses.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Forensic Science International: GeneticsAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Sequence analysis and characterization of stutter products at the tetranucleotide repeat locus vWA.Nucleic Acids Res. 1996; 24: 2807-2812
- Characterising the STR locus D6S1043 and examination of its effect on stutter rates.Forensic Sci. Int. Genet. 2014; 8: 20-23
- Implementation and validation of an improved allele specific stutter filtering method for electropherogram interpretation.Forensic Sci. Int. Genet. 2018; 35: 50-56
- A study of the origin of ‘shadow bands’ seen when typing dinucleotide repeat polymorphisms by the PCR.Hum. Mol. Genet. 1993; 2: 411-415
- Modeling forward stutter: toward increased objectivity in forensic DNA interpretation.Electrophoresis. 2014; 35: 3152-3157
- Characterising stutter in forensic STR multiplexes.Forensic Sci. Int. Genet. 2012; 6: 58-63
- Characterisation of forward stutter in the AmpFlSTR SGM plus PCR.Sci. Justice. 2009; 49: 24-31
- Flanking variation influences rates of stutter in simple repeats.Genes (Basel). 2017; 8: 329
- Compound stutter in D2S1338 and D12S391.Forensic Sci. Int. Genet. 2019; 39: 50-56
- Reduction of stutter ratios in short tandem repeat loci typing of low copy number DNA samples.Forensic Sci. Int. Genet. 2014; 8: 213-218
- Stutter analysis of complex STR MPS data.Forensic Sci. Int. Genet. 2018; 35: 107-112
- Slippage synthesis of simple sequence DNA.Nucleic Acids Res. 1992; 20: 211-215
- Direct comparison of post-28-cycle PCR purification and modified capillary electrophoresis methods with the 34-cycle "low copy number" (LCN) method for analysis of trace forensic DNA samples.Forensic Sci. Int. Genet. 2008; 2: 318-328
- Fast STR allele identification with STRait razor 3.0.Forensic Sci. Int. Genet. 2017; 30: 18-23
- Massively parallel sequencing of forensic STRs: considerations of the DNA commission of the International Society for Forensic Genetics (ISFG) on minimal nomenclature requirements.Forensic Sci. Int. Genet. 2016; 22: 54-63
- R Core Team. R: A language and environment for statistical computing.Environ. Stat. Comput. 2019; https://doi.org/10.1016/j.jssas.2015.06.002
- Population and performance analyses of four major populations with Illumina’s FGx Forensic Genomics System.Forensic Sci. Int. Genet. 2017; 30: 81-92
- Performance and concordance of the ForenSeq™ system for autosomal and Y chromosome short tandem repeat sequencing of reference-type specimens.Forensic Sci. Int. Genet. 2017; 28: 1-9
- A closer look at Verogen’s Forenseq™ DNA Signature Prep kit autosomal and Y-STR data for streamlined analysis of routine reference samples.Electrophoresis. 2018; 39: 2685-2693
- Global patterns of STR sequence variation: sequencing the CEPH human genome diversity panel for 58 forensic STRs using the Illumina ForenSeq DNA Signature Prep Kit.Electrophoresis. 2018; 39: 2708-2724
- Evaluation of the MiSeq FGx system for use in forensic casework.Int. J. Legal Med. 2019; 133: 689-697
- Investigation of the STR loci noise distributions of PowerSeq Auto System.Croat. Med. J. 2017; 58: 214-221
- Investigation into the sequence structure of 23 Y chromosomal STR loci using massively parallel sequencing.Forensic Sci. Int. Genet. 2016; 25: 132-141
Article info
Publication history
Published online: December 09, 2019
Accepted:
December 8,
2019
Received in revised form:
November 19,
2019
Received:
April 8,
2019
Identification
Copyright
© 2019 Elsevier B.V. All rights reserved.