The sequence identifier (SID): Nomenclature for mixed-DNA casework using MPS

Young, Brian; Faris, Tom; Armogida, Luigi; Meles, Victor

doi:10.1016/j.fsigss.2019.10.125

Cited by 1 publication

(2 citation statements)

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“…These nomenclatures achieve compactness and human readability by encoding STR polymorphisms as differences from reference sequences. Just and Irwin [5] and Young et al [24] describe nomenclatures that are reference‐independent and do not use difference encoding. The LUS+ nomenclature [5] encodes patterns of STR motifs but does not encode other variants such as SNPs and INDELS.…”

Section: Introductionmentioning

confidence: 99%

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Match statistics for sequence‐based alleles in profiles from forensic PCR‐mps kits

Young¹,

Marciano

Crenshaw

et al. 2021

Electrophoresis

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The first autosomal sequence‐based allele (aka SNP‐STR haplotype) frequency database for forensic massively parallel sequencing (MPS) has been published, thereby removing one of the remaining barriers to implementing MPS in casework. The database was developed using a specific set of flank trim sites. If different trim sites or different kits with different primers are used for casework, then SNP‐STR haplotypes may be detected that do not have frequencies in the database. We describe a procedure to address calculation of match probabilities when casework samples are generated using an MPS kit with different trim sites than those present in the relevant population frequency database. The procedure provides a framework for comparison of any MPS kit or database combination while also accommodating comparison of MPS and CE profiles.

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Section: Introductionmentioning

confidence: 99%

“…The LUS+ nomenclature [5] encodes patterns of STR motifs but does not encode other variants such as SNPs and INDELS. The SID nomenclature [24] encodes sequence strings as hash digests using a modification of the SHA‐256 algorithm [25]. The SHA‐256 algorithm generates a distinct 256‐bit string (hash digest) of input strings.…”

Section: Introductionmentioning

confidence: 99%