Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 9, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

New York State TrueAllele ® casework validation study.

Mark W Perlin1, Jamie L Belrose, Barry W Duceman

  • 1Cybergenetics Corp, 160 North Craig Street, Suite 210, Pittsburgh, PA, 15213.

Journal of Forensic Sciences
|July 20, 2013
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bayesian intelligence for medical diagnosis: a pilot study on patient disposition for emergency medicine chest pain.

Diagnosis (Berlin, Germany)·2024
Same author

Commentary on: Thompson WC. Uncertainty in probabilistic genotyping of low template DNA: A case study comparing STRmix™ and TrueAllele®. J Forensic Sci. 2023;68(3):1049-63.

Journal of forensic sciences·2024
Same author

Developmental and Injury-induced Changes in DNA Methylation in Regenerative versus Non-regenerative Regions of the Vertebrate Central Nervous System.

BMC genomics·2022
Same author

Comparative gene expression profiling between optic nerve and spinal cord injury in Xenopus laevis reveals a core set of genes inherent in successful regeneration of vertebrate central nervous system axons.

BMC genomics·2020
Same author

Validating TrueAllele<sup>®</sup> Interpretation of DNA Mixtures Containing up to Ten Unknown Contributors.

Journal of forensic sciences·2019
Same author

Efficient construction of match strength distributions for uncertain multi-locus genotypes.

Heliyon·2018
Same journal

GenoEye: A machine learning-based framework for the prediction of intermediate eye color phenotypes.

Journal of forensic sciences·2026
Same journal

Sharp force trauma analysis without animal bones: A proposal for sustainable and ethical bone proxies.

Journal of forensic sciences·2026
Same journal

Absolute dating of modern paper using <sup>14</sup>C bomb peak data of the paper fibers.

Journal of forensic sciences·2026
Same journal

Forensic timeline investigation of Apple Health app on iOS.

Journal of forensic sciences·2026
Same journal

Help v. harm: How a "lookup table" for evaluating DNA evidence given activity-level propositions could lead to wrongful convictions.

Journal of forensic sciences·2026
Same journal

Correction to "Development and Evaluation of an Iodoplatinate-Based Strip-Type Kit for On-Site Drug Screening in Beverages".

Journal of forensic sciences·2026
See all related articles

Probabilistic genotyping software reliably interprets complex DNA evidence, including low-level and mixed samples. This objective approach ensures accurate and reproducible DNA match results, preserving crucial identification information.

Area of Science:

  • Forensic Science
  • Genetics
  • Computational Biology

Background:

  • DNA evidence interpretation presents challenges, especially with low-level or mixed samples.
  • Current methods may not fully utilize quantitative data or explore all genotype possibilities.
  • Objective and reproducible DNA match results are highly desirable in forensic analysis.

Purpose of the Study:

  • To validate the TrueAllele® probabilistic genotyping computer interpretation system.
  • To compare computer-generated results with human review for accuracy and reproducibility.
  • To assess the system's ability to produce match statistics for complex DNA samples.

Main Methods:

  • Validation study involving 368 evidence items across 41 test cases.
  • Comparison of TrueAllele® probabilistic computer interpretation with human review.
Keywords:
DNA evidencedevelopmental validationforensic scienceidentification informationlikelihood ratiomixture interpretationprobabilistic genotype

More Related Videos

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

Related Experiment Videos

Last Updated: May 9, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
05:51

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia

Published on: June 15, 2011

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

  • Analysis of concordance and match statistic generation for mixture items.
  • Main Results:

    • Computer-generated genotypes were concordant with human results whenever a human result was available.
    • The computer produced match statistics for 81 mixture items, compared to 25 by human review.
    • Probabilistic genotyping demonstrated sensitivity, specificity, and reproducibility using match statistics.

    Conclusions:

    • Objective probabilistic genotyping reliably preserves DNA identification information.
    • The TrueAllele® system offers an accurate and reproducible method for interpreting complex DNA evidence.
    • Probabilistic genotyping enhances the utilization of quantitative DNA data in forensic casework.