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 Videos

Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.

Steven T Kalinowski1, Mark L Taper, Tristan C Marshall

  • 1Department of Ecology, Montana State University, Bozeman, MT 59717, USA. skalinowski@montana.edu

Molecular Ecology
|February 20, 2007
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

Evidential Analysis: An Alternative to Hypothesis Testing in Normal Linear Models.

Entropy (Basel, Switzerland)·2024
Same author

Evidence of an Absence of Inbreeding Depression in a Wild Population of Weddell Seals (<i>Leptonychotes weddellii</i>).

Entropy (Basel, Switzerland)·2023
Same author

Entropy, Statistical Evidence, and Scientific Inference: Evidence Functions in Theory and Applications.

Entropy (Basel, Switzerland)·2022
Same author

Relationship of Effective to Census Size in Fluctuating Populations.

Conservation biology : the journal of the Society for Conservation Biology·2022
Same author

Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC.

Frontiers in ecology and evolution·2021
Same author

Model Projections in Model Space: A Geometric Interpretation of the AIC Allows Estimating the Distance Between Truth and Approximating Models.

Frontiers in ecology and evolution·2021
Same journal

Demography and Environment Shapes Genetic Variation: Spatiotemporal Genetic Dynamics in Cyclic Voles at Low Latitudes.

Molecular ecology·2026
Same journal

Gut Microbiome-Metabolome Reconfiguration Associates With Phenotypic Plasticity of Daphnia Under Predation Risk.

Molecular ecology·2026
Same journal

Population Genomics Highlight the Vulnerability of Coral-Dwelling Gobies to Ecological Losses due to Climatic Disturbances.

Molecular ecology·2026
Same journal

Ancient Divergences of the Maritime Alpine Tree Larix lyallii (Pinaceae) Contrasts With Patterns in Other Pacific Northwest Coastal Disjuncts.

Molecular ecology·2026
Same journal

Ontogenetic Sequence of Differential Gene Expression in Predator-Induced Daphnia pulex.

Molecular ecology·2026
Same journal

Disentangling Environmental and Within-Host Drivers of Parasite Dynamics in Natural Populations.

Molecular ecology·2026
See all related articles

Genotyping error in parentage analysis can be problematic. This study corrects errors in the CERVUS software, improving parentage assignment accuracy for genetic analysis.

Area of Science:

  • Population Genetics
  • Bioinformatics
  • Conservation Genetics

Background:

  • Parentage analysis using genotypes is crucial in various biological studies.
  • Genotyping errors pose a significant challenge, impacting the reliability of parentage assignment.
  • The CERVUS software is widely used for parentage estimation, with options to account for genotyping errors.

Purpose of the Study:

  • To identify and correct miscalculations in the likelihood equations used by CERVUS (versions 1.0 and 2.0) for accommodating genotyping error.
  • To evaluate the impact of corrected equations on the accuracy of parentage assignment.
  • To demonstrate the benefits of accurately accounting for genotyping errors in paternity analysis.

Main Methods:

  • Computer simulations were employed to assess the probability of observing erroneous genotypes under the original and corrected likelihood equations.

Related Experiment Videos

  • Reanalysis of existing paternity data from a Rum red deer population was conducted using the corrected methods.
  • Comparison of parentage assignment success rates between the original and corrected CERVUS versions.

    • Main Results:

    • The likelihood equations in CERVUS versions 1.0 and 2.0 were found to miscalculate the probability of erroneous genotypes.
    • Correcting these likelihood equations led to a significant increase in the success rate of paternity assignment in the red deer study.
    • The study confirmed a clear advantage in accommodating genotyping errors when such errors are present in the data.

    Conclusions:

    • The accurate calculation of genotyping error probabilities is essential for reliable parentage analysis.
    • The corrected likelihood equations implemented in the new CERVUS version (3.0) enhance the accuracy of genetic parentage assignment.
    • Accurate handling of genotyping errors is critical for robust genetic analyses in population and conservation studies.