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 Concept Videos

Probability Laws01:49

Probability Laws

Overview
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase01:11

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase

Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

You might also read

Related Articles

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

Sort by
Same author

Early kangaroo care in preterm ≤32 weeks and very low birth weight infants: a systematic review and meta-analysis.

Journal of perinatal medicine·2026
Same author

Navigating population-level coancestry in forensic mixture analysis.

Scientific reports·2026
Same author

Topical Ozone as an Adjuvant Therapy in Wound Management: An Integrative Review.

Nursing reports (Pavia, Italy)·2025
Same author

MHappaMundi: A custom AmpliSeq microhaplotype panel for ancestry inference.

Forensic science international. Genetics·2025
Same author

Statistical interpretation of cases involving mixtures: A Spanish and Portuguese-Speaking Working Group (GHEP-ISFG) collaborative exercise.

Forensic science international. Genetics·2025
Same author

Average fold-change of genetic pathways in biological transitions.

Computers in biology and medicine·2025

Related Experiment Video

Updated: Jun 16, 2026

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

16.6K

Stutter Modeling in Probabilistic Genotyping for Forensic DNA Analysis: A Casework-Driven Assessment.

Camila Costa1,2, Érica Pereira3, Sandra Costa4

  • 1Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4169-007 Porto, Portugal.

Genes
|September 27, 2025
PubMed
Summary

Different EuroForMix software versions impact DNA mixture interpretation. Model selection is crucial, especially for complex forensic samples, affecting evidence quantification and statistical evaluation.

Keywords:
DNA mixturesEuroForMixback stutterforward stutterprobabilistic genotyping softwareweight-of-evidence

More Related Videos

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.6K
Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

22.9K

Related Experiment Videos

Last Updated: Jun 16, 2026

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence
11:49

Enhanced Genetic Analysis of Single Human Bioparticles Recovered by Simplified Micromanipulation from Forensic ‘Touch DNA’ Evidence

Published on: March 9, 2015

16.6K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.6K
Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

22.9K

Area of Science:

  • Forensic Genetics
  • Computational Biology
  • Statistical Modeling

Background:

  • Probabilistic genotyping software is vital for forensic DNA mixture interpretation.
  • Previous research assessed inter- and intra-software model impacts on evidence quantification.
  • This study examines how distinct models within different versions of the same tool, EuroForMix, affect results.

Purpose of the Study:

  • To evaluate the impact of different EuroForMix software versions (1.9.3 vs. 3.4.0) on forensic DNA mixture analysis.
  • To compare statistical measurements derived from distinct modeling capabilities, including stutter peak analysis.
  • To understand how software updates influence the quantification of forensic evidence.

Main Methods:

  • Analysis of 156 real casework sample pairs (2-3 contributors) from the Portuguese Scientific Police Laboratory.
  • Utilized identical input data (alleles, artefactual peaks) for both EuroForMix versions 1.9.3 and 3.4.0.
  • Compared Likelihood Ratio values and statistical measurements obtained from each software version.

Main Results:

  • Most Likelihood Ratio values showed minor differences (< 1 order of magnitude) between EuroForMix versions.
  • Significant variations were observed in complex samples, including those with multiple contributors, unbalanced profiles, or degradation.
  • The updated stutter modeling (forward and back) in version 3.4.0 influenced results compared to version 1.9.3 (back stutter only).

Conclusions:

  • Model selection within probabilistic genotyping software significantly impacts forensic evidence quantification, even between versions of the same tool.
  • The influence of different models is contingent upon sample complexity, technical conditions, and genotypic profiles.
  • This highlights the importance of consistent and validated methodologies in forensic DNA analysis.