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Testing for segregation distortion in genetic scoring data from backcross or doubled haploid populations
1Molecular Genetics, Agriculture and Agri-Food Canada, Saskatoon Research Centre, 107 Science Place, Saskatoon, SK, Canada S7N 0X2. nixonj@agr.gc.ca
Heredity
|March 2, 2006
Summary
Assessing genetic data for segregation distortion is key for breeding strategies. A new single locus test is more powerful than the overall test for detecting selection effects in genetic linkage groups.
Area of Science:
- Quantitative genetics
- Statistical genetics
Background:
- Segregation distortion in genetic data can impact breeding strategies.
- Current methods using chi-squared tests at individual loci do not provide a holistic assessment of selection across a linkage group.
Purpose of the Study:
- To develop and compare statistical tests for assessing segregation distortion.
- To evaluate the power of these tests in detecting selection effects.
Main Methods:
- Developed a 'single locus test' based on the most significant P-value from locus-specific tests.
- Derived a new 'overall test' that incorporates genetic linkage within a single linkage group.
- Conducted simulations varying marker density and population size to compare test power.
Main Results:
- The single locus test demonstrated higher power in detecting selection at one or two loci compared to the overall test.
- The overall test accounts for genetic linkage but was less powerful.
- The single locus test requires more complex P-value corrections, for which approximate factors are provided.
Conclusions:
- The single locus test is a more powerful tool for detecting segregation distortion due to selection.
- Appropriate P-value corrections are necessary for the single locus test, with provided factors for different genetic marker densities and lengths.
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