Considerations for the Implementation of Massively Parallel Sequencing into Routine Kinship Analysis

<i>Background</i>: Investigating the way in which individuals are genetically related has been a long-standing application of forensic DNA typing. Whilst capillary electrophoresis (CE)-based STR analysis is likely to provide sufficient data to resolve regularly encountered paternity cases, its power to adequately resolve more distant or complex relationships can be limited. Massively parallel sequencing (MPS) has become a popular alternative method to CE for analysing genetic markers for forensic applications, including kinship analysis. Data workflows used in kinship testing are well-characterised for CE-based methodologies but are much less established for MPS. When incorporating this technology into routine relationship casework, modifications to existing procedures will be required to ensure that the full power of MPS can be utilised whilst maintaining the authenticity of results. <i>Methods</i>: Empirical data generated with MPS for forensically relevant STRs and SNPs and real-world case experience have been used to determine the necessary workflow adaptations. <i>Results</i>: The four considerations highlighted in this work revolve around the distinctive properties of sequence-based data and the need to adapt CE-based data analysis workflows to ensure compatibility with existing kinship software. These considerations can be summarised as the need for a suitable sequence-based allele nomenclature; methods to account for mutational events; appropriate population databases; and procedures for dealing with rare allele frequencies. Additionally, a practical outline of the statistical adjustments required to account for genetic linkage between loci, within the expanded marker sets associated with MPS, has been presented. <i>Conclusions</i>: This article provides a framework for laboratories wishing to implement MPS into routine kinship analysis, with guidance on aspects of the data analysis and statistical interpretation processes.

Authors

Institutions

Publication Details

Journal
Genes
Published
2025-02-20
DOI
https://doi.org/10.3390/genes16030238
Citations
5
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
9.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Considerations for the Implementation of Massively Parallel Sequencing into Routine Kinship Analysis

Laurence Devesse, Denise Syndercombe Court, David Ballard, Lucinda Davenport et al.
5 citations
Genes
Forensic and Genetic Research
9.09
article

Considerations for the Implementation of Massively Parallel Sequencing into Routine Kinship Analysis

Laurence Devesse, Denise Syndercombe Court, David Ballard, Lucinda Davenport, Somruetai Satmun
article en
5 citations

Abstract

<i>Background</i>: Investigating the way in which individuals are genetically related has been a long-standing application of forensic DNA typing. Whilst capillary electrophoresis (CE)-based STR analysis is likely to provide sufficient data to resolve regularly encountered paternity cases, its power to adequately resolve more distant or complex relationships can be limited. Massively parallel sequencing (MPS) has become a popular alternative method to CE for analysing genetic markers for forensic applications, including kinship analysis. Data workflows used in kinship testing are well-characterised for CE-based methodologies but are much less established for MPS. When incorporating this technology into routine relationship casework, modifications to existing procedures will be required to ensure that the full power of MPS can be utilised whilst maintaining the authenticity of results. <i>Methods</i>: Empirical data generated with MPS for forensically relevant STRs and SNPs and real-world case experience have been used to determine the necessary workflow adaptations. <i>Results</i>: The four considerations highlighted in this work revolve around the distinctive properties of sequence-based data and the need to adapt CE-based data analysis workflows to ensure compatibility with existing kinship software. These considerations can be summarised as the need for a suitable sequence-based allele nomenclature; methods to account for mutational events; appropriate population databases; and procedures for dealing with rare allele frequencies. Additionally, a practical outline of the statistical adjustments required to account for genetic linkage between loci, within the expanded marker sets associated with MPS, has been presented. <i>Conclusions</i>: This article provides a framework for laboratories wishing to implement MPS into routine kinship analysis, with guidance on aspects of the data analysis and statistical interpretation processes.

GenesVol. 16(3)
King's College London (GB)
Openalex Percentile: Top 2%
Forensic and Genetic Research
9.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.