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Foundation Animal Effects: Difference between revisions

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[[Category: Genetic Evaluation]]
[[Category: Genetic Evaluation]]
Implementing [[Best Linear Unbiased Prediction | BLUP animal models]] without accounting for differences in [[Glossary#F | foundation animals']] genetic merit can result in [[Prediction_Bias | biased EPDs]]. Differences in additive genetic merit between foundation animals can be a result of different breeds of origin or entering the data used for genetic evaluation at different periods of time.  The latter differences are due to genetic trend from selection.
Implementing [[Best Linear Unbiased Prediction | BLUP animal models]] without accounting for differences in [[Glossary#F | foundation animals']] genetic merit can result in [[Prediction_Bias | biased EPDs]]. Differences in additive genetic merit between foundation animals can be a result of different breeds of origin, or founders of the same breed entering the data used for genetic evaluation at different periods of time.  The latter differences are due to genetic trend from selection.


Including ''additive genetic group effects''<ref>Westell, R. A., R. L. Quaas, and L. D. Van Vleck. 1988. Genetic
=Additive genetic groups=
groups in an animal model. J. Dairy Sci. 71:1310.</ref><ref>Quaas, R. L. 1988. Additive genetic model with groups and relationships. J. Dairy Sci. 71:1338. </ref>  in [[Best_Linear_Unbiased_Prediction | BLUP]] animal models used to produce [[BIF_recommends_the_use_of_EPD | EPDs]] is important when the [[Glossary#F | foundation animals]] come from genetically different origins such as distinct breeds.
All foundation animals are modeled as coming from a population with the same average genetic merit when additive genetic group effects are not included. <ref>Westell, R. A., R. L. Quaas, and L. D. Van Vleck. 1988. Genetic
This includes so-called multi-breed analysis and analysis of [[Composite_Breeding | composite breed]] data.
groups in an animal model. J. Dairy Sci. 71:1310.</ref><ref>Quaas, R. L. 1988. Additive genetic model with groups and relationships. J. Dairy Sci. 71:1338. </ref> Including additive genetic groups permit the model to predict genetic differences that occur between the groups. These differences impact the descendants of the foundation animals' EPDs.


Also, genetic groups should be used in BLUP models when foundation animals of the same breed enter the population at different periods of time to account for the effect of [[Glossary#G | genetic trend]] over time. Foundation animals from distinctly different periods of time can have different genetic merit due to selection resulting in genetic trend.
When designating genetic groups by periods of time there is a balance between size of group and amount of time to cluster groups on.  Too short a period results in groups prediction with high prediction errors.  Too long a time period decreases the precision of the prediction. This problem is compounded in multi-breed evaluations where groups are designated with both breed of founder and generation.


All foundation animals are modeled as having the same average genetic merit when additive genetic group effects are not includedIncluding additive genetic groups permit the model to predict if genetic differences occured between the groups.  These differences impact the descendants of the foundation animals' EPDs.
Additive genetic groups are included as fixed effects in all North American national cattle evaluationsWhile computationally easy to set up, including additive genetic groups may cause instability during iteration for the solution of the mixed model equations.
 
=Metafounders=
The use of genomic data allows for the inclusion of an alternative to additive genetic groups.  Metafounder effects can account for relationships between foundation groups even though they may be distinct breeds.<ref>Legarra A, Christensen OF, Vitezica ZG, Aguilar I, Misztal I. Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships. Genetics. 2015 Jun;200(2):455-68. doi: 10.1534/genetics.115.177014. Epub 2015 Apr 14. PMID: 25873631; PMCID: PMC4492372.</ref>
=References=

Revision as of 14:49, 22 June 2024

Implementing BLUP animal models without accounting for differences in foundation animals' genetic merit can result in biased EPDs. Differences in additive genetic merit between foundation animals can be a result of different breeds of origin, or founders of the same breed entering the data used for genetic evaluation at different periods of time. The latter differences are due to genetic trend from selection.

Additive genetic groups

All foundation animals are modeled as coming from a population with the same average genetic merit when additive genetic group effects are not included. [1][2] Including additive genetic groups permit the model to predict genetic differences that occur between the groups. These differences impact the descendants of the foundation animals' EPDs.

When designating genetic groups by periods of time there is a balance between size of group and amount of time to cluster groups on. Too short a period results in groups prediction with high prediction errors. Too long a time period decreases the precision of the prediction. This problem is compounded in multi-breed evaluations where groups are designated with both breed of founder and generation.

Additive genetic groups are included as fixed effects in all North American national cattle evaluations. While computationally easy to set up, including additive genetic groups may cause instability during iteration for the solution of the mixed model equations.

Metafounders

The use of genomic data allows for the inclusion of an alternative to additive genetic groups. Metafounder effects can account for relationships between foundation groups even though they may be distinct breeds.[3]

References

  1. Westell, R. A., R. L. Quaas, and L. D. Van Vleck. 1988. Genetic groups in an animal model. J. Dairy Sci. 71:1310.
  2. Quaas, R. L. 1988. Additive genetic model with groups and relationships. J. Dairy Sci. 71:1338.
  3. Legarra A, Christensen OF, Vitezica ZG, Aguilar I, Misztal I. Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships. Genetics. 2015 Jun;200(2):455-68. doi: 10.1534/genetics.115.177014. Epub 2015 Apr 14. PMID: 25873631; PMCID: PMC4492372.