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Updated: May 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
The effect of linkage on sample size determination for multiple trait selection.
S J Schwager1, M A Mutschler, W T Federer
1Department of Plant Breeding and Biometry, Cornell University, 14853, Ithaca, NY, USA.
Plant breeding requires adequate sample sizes to ensure desired genotypes are found. This study presents a method to calculate the minimum sample size for achieving a specific number of desired genotypes, considering genetic factors like linkage and selection.
Area of Science:
- Plant breeding
- Quantitative genetics
- Population genetics
Background:
- Achieving desired genotypes in plant breeding relies on sufficient sample sizes from segregating populations.
- Confidence in obtaining a specific number of desired genotypes is linked to probability (α) and sample size (n).
Purpose of the Study:
- To develop a method for determining the minimum sample size (n) required to achieve at least 'm' individuals with a desired genotype.
- To account for factors influencing genotype frequency, including gamete selection, single-locus segregation, and linkage.
Main Methods:
- The study models allele frequency changes at linked loci in the gametophyte (haploid level) considering fitness and linkage.
- A binomial distribution-based formula calculates the probability of obtaining 'm' desired alleles among 'n' gametes.
- The approach is extended to the sporophyte (diploid level) to assess desired genotype formation from gamete pairs.
Main Results:
- The probability of obtaining desired alleles is influenced by fitness and linkage, which affect the frequency of the desired allele in a gamete.
- Altered allelic frequencies due to these factors impact the likelihood of achieving the desired genotype in offspring.
- A table and figure illustrate the minimum sample size needed for a 0.95 probability of obtaining 'm' desired genotypes.
Conclusions:
- The developed method provides a robust framework for calculating sample sizes in plant breeding.
- Accurate sample size determination is crucial for efficiently identifying and selecting desired genotypes.
- The findings aid breeders in optimizing population sizes for genetic gain.
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