Short hypervariable microhaplotypes: A novel set of very short high discriminating power loci without stutter artefacts

Forensic Sci Int Genet. 2018 Jul:35:169-175. doi: 10.1016/j.fsigen.2018.05.008. Epub 2018 May 22.

Abstract

Since two decades, short tandem repeats (STRs) are the preferred markers for human identification, routinely analysed by fragment length analysis. Here we present a novel set of short hypervariable autosomal microhaplotypes (MH) that have four or more SNPs in a span of less than 70 nucleotides (nt). These MHs display a discriminating power approaching that of STRs and provide a powerful alternative for the analysis;1;is of forensic samples that are problematic when the STR fragment size range exceeds the integrity range of severely degraded DNA or when multiple donors contribute to an evidentiary stain and STR stutter artefacts complicate profile interpretation. MH typing was developed using the power of massively parallel sequencing (MPS) enabling new powerful, fast and efficient SNP-based approaches. MH candidates were obtained from queries in data of the 1000 Genomes, and Genome of the Netherlands (GoNL) projects. Wet-lab analysis of 276 globally dispersed samples and 97 samples of nine large CEPH families assisted locus selection and corroboration of informative value. We infer that MHs represent an alternative marker type with good discriminating power per locus (allowing the use of a limited number of loci), small amplicon sizes and absence of stutter artefacts that can be especially helpful when unbalanced mixed samples are submitted for human identification.

Keywords: Degraded; Dna; Fdstools; Forensic; Gonl; Ion pgm; MPS; Massively parallel sequencing; Microhaplotypes; Miseq; NGS; Next generation sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Artifacts
  • DNA Fingerprinting / methods*
  • Haplotypes*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Multiplex Polymerase Chain Reaction
  • Polymorphism, Single Nucleotide*
  • Sequence Analysis, DNA