2019
DOI: 10.1016/j.fsigen.2019.06.001
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A nomenclature for sequence-based forensic DNA analysis

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Cited by 20 publications
(12 citation statements)
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“…It is urgent to know how the MPS data should be analysed and reported, what connections do these data have with LB alleles, and how to record and search such datasets in a database 4 . Some researchers have tried to answer these questions 19,20 but a perfect nomenclature is still under development. A unified minimal nomenclature of the complex sequences obtained by MPS technologies was recommended by the International Society for Forensic Genetics (ISFG) in 2016 21,22 to facilitate communication between laboratories and to make this data backward compatible with LB data produced on CE platform.…”
mentioning
confidence: 99%
“…It is urgent to know how the MPS data should be analysed and reported, what connections do these data have with LB alleles, and how to record and search such datasets in a database 4 . Some researchers have tried to answer these questions 19,20 but a perfect nomenclature is still under development. A unified minimal nomenclature of the complex sequences obtained by MPS technologies was recommended by the International Society for Forensic Genetics (ISFG) in 2016 21,22 to facilitate communication between laboratories and to make this data backward compatible with LB data produced on CE platform.…”
mentioning
confidence: 99%
“…There are a number of barriers to widespread adoption of MPS for forensic applications, including variable performance of some markers in terms of coverage and locus imbalance [11], and susceptibility to PCR inhibitors when compared with standard STR typing kits [25,26], but these are rapidly being overcome. Development of a standardised nomenclature system, which captures sequence variation in MPS-generated STR alleles whilst maintaining compatibility with existing CE-based STR data in national DNA databases, is a particular challenge, but recommendations are now in place to address this [27][28][29][30]. The availability of frequency data for alleles detected using MPS is also increasing with the publication of datasets from populations worldwide [31][32][33][34][35].…”
Section: Massively Parallel Sequencingmentioning
confidence: 99%
“…This study identified several novel identity SNPS were identified. The novel variants were compared to the human genome reference sequence (GRCh38) (Supplementary Materials Table 1) (8,10). The repeat pattern variants were compared to the existing database published literature and the database STRBase (strbase.nist.gov) [Accessed Date: 13-09-2019].…”
Section: Softwarementioning
confidence: 99%