Related Experiment Video
Updated: May 16, 2026

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
Published on: July 11, 2025
Comparing the van Oosterhout and Chybicki-Burczyk methods of estimating null allele frequencies for inbred
P Campagne1, P E Smouse, G Varouchas
1IRD, UR072-BEI C/O CNRS, Laboratoire Evolution Génomes et Spéciation, Gif sur Yvette Cedex, France. campagne@aesop.rutgers.edu
Abstract:
In spite of the usefulness of codominant markers in population genetics, the existence of null alleles raises challenging estimation issues in natural populations that are characterized by positive inbreeding coefficients (F > 0). Disregarding the possibility of F > 0 in a population will generally lead to overestimates of null allele frequencies. Conversely, estimates of inbreeding coefficients (F) may be strongly biased upwards (excess homozygotes), in the presence of nontrivial frequencies of null alleles. An algorithm has been presented for the estimation of null allele frequencies in inbred populations (van Oosterhout method), using external estimates of the F-statistics. The goal of this study is to introduce a modification of this method and to provide a formal comparison with an alternative likelihood-based method (Chybicki-Burczyk). Using simulated data, we illustrate the strengths and limitations of these competing methods. Under most circumstances, the likelihood method is preferable, but for highly inbred organisms, a modified van Oosterhout method offers some advantages.
Related Concept Videos
Hardy-Weinberg Principle
Chi-square Analysis
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
Test for Homogeneity
Expected Frequencies in Goodness-of-Fit Tests
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
What is Population Genetics?

