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Related Experiment Video

Updated: Jul 17, 2026

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

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Published on: February 3, 2013

Testing Hypotheses about Linkage Disequilibrium with Multiple Alleles.

B S Weir¹, C C Cockerham

¹Department of Statistics, North Carolina State University, P. 0. Box 5457, Raleigh, North Carolina 27607.

|March 1, 1978

Summary

Testing hypotheses about genetic linkage disequilibrium can be affected by how allele data is grouped. Our study shows how collapsing allele data impacts test power using noncentral chi-square distribution properties.

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Area of Science:

Population genetics
Statistical genetics

Background:

Hypotheses on linkage disequilibrium are tested using genetic data.
Data can be analyzed comprehensively or by collapsing alleles at each locus.

Purpose of the Study:

To investigate how collapsing allele data affects statistical tests for linkage disequilibrium.
To determine the factors influencing changes in test power.

Main Methods:

Analysis of the noncentral chi-square distribution properties.
Examination of the impact of allele data collapsing on statistical power.

Main Results:

Collapsing allele data can alter the power of linkage disequilibrium tests.
Changes in power depend on linkage disequilibria levels, allele frequencies, and degrees of freedom.

Conclusions:

The noncentral chi-square distribution provides a framework for understanding how allele data collapsing affects linkage disequilibrium test power.
Understanding these effects is crucial for accurate genetic analyses.