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Uncertain paternity in primate quantitative genetic studies
Lyle W Konigsberg1, James M Cheverud2
1Department of Anthropology, University of Tennessee, Knoxville.
American Journal of Primatology
|January 18, 2020
Summary
Including probabilistic paternal data in primate quantitative genetics studies, specifically craniometric data from macaques, minimally impacts heritability estimates. Significant power gains require a very small number of potential sires per offspring.
Area of Science:
- Quantitative genetics
- Primate evolutionary biology
- Animal breeding
Background:
- Quantitative genetic studies in primates typically rely on varying levels of known genealogical information.
- Paternal relationships are often unknown or only partially inferred in wild or semi-wild primate populations.
Purpose of the Study:
- To evaluate the impact of incorporating probabilistic paternal information on heritability estimates in primate quantitative genetics.
- To determine the conditions under which including incomplete paternal data significantly enhances the power to detect heritability.
Main Methods:
- Utilized Henderson's average numerator relationship matrix method.
- Analyzed craniometric data from the Cayo Santiago macaque colony.
- Conducted simulation studies to assess the effect of varying numbers of potential sires on heritability detection power.
Main Results:
- Heritability estimates for craniometric traits were not substantially affected by the addition of incomplete paternal information.
- A significant increase in the power to detect heritability requires a very small number of equally likely sires per offspring.
Conclusions:
- The current practice of omitting probabilistic paternal relationships in primate quantitative genetics studies is likely adequate for many scenarios.
- Substantial improvements in the precision of heritability estimates would necessitate considerable effort in performing paternal exclusions.
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