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Related Experiment Video

Updated: Jun 14, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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It's all relative: A multi-generational study using ForenSeq™ Kintelligence.

R Daniel1, J Raymond2, A Sears2

  • 1Victorian Institute of Forensic Medicine, Victoria, Australia.

Forensic Science International
|September 4, 2024
PubMed
Summary
This summary is machine-generated.

Forensic Investigative Genetic Genealogy (FIGG) can now use the ForenSeq™ Kintelligence kit for low DNA samples. This kit accurately predicts familial relationships up to fifth degree, aiding law enforcement in identifying remains and criminals.

Keywords:
DNA IntelligenceForensic DNA analysisForensic Investigative Genetic GenealogyKinshipKintelligence

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Area of Science:

  • Forensic Science
  • Genetics
  • Genealogy

Background:

  • Forensic Investigative Genetic Genealogy (FIGG) is increasingly used for identifying unknown individuals and criminal suspects.
  • Traditional FIGG methods require high-quality DNA and large datasets, often unsuitable for degraded forensic samples.
  • Existing methods like Whole Genome Array (WGA) and Whole Genome Sequencing (WGS) present challenges with sample input and data management.

Purpose of the Study:

  • To evaluate the ForenSeq™ Kintelligence kit for its ability to predict biological relationships in forensic casework.
  • To compare the performance of the ForenSeq™ Kintelligence kit with a Whole Genome Array (WGA) approach.
  • To assess the suitability of the ForenSeq™ Kintelligence workflow for Australian law enforcement agencies.

Main Methods:

  • A comparative study was conducted using 12 family members with varying degrees of relatedness.
  • DNA samples were analyzed using both the ForenSeq™ Kintelligence kit (targeted amplicon sequencing) and a WGA approach (Illumina Global Screening Array-24 v3.0).
  • The ForenSeq™ Kintelligence kit targets 10,230 SNPs, with 9867 for kinship analysis, designed for low DNA input and degraded samples.

Main Results:

  • The ForenSeq™ Kintelligence kit correctly identified all expected relationships from first to fifth degree.
  • Expected sixth-degree relationships were not detected by the ForenSeq™ Kintelligence kit.
  • Both methods were compared for accuracy in predicting familial links.

Conclusions:

  • The ForenSeq™ Kintelligence kit is effective for predicting close familial relationships (1st-5th degree) in forensic investigations.
  • This targeted sequencing approach offers a viable alternative for FIGG with challenging forensic samples.
  • Findings support Australian agencies in assessing the ForenSeq™ Kintelligence kit's utility for casework.