Related Experiment Videos
Evaluation of candidate gene effects for beef backfat via Bayesian model selection.
Xiao-Lin Wu1, Michael D Macneil, Sachinadan De
1Department of Animal Sciences, Washington State University, Pullman, WA 99164-6351, USA.
Genetica
|September 22, 2005
Summary
Diacyglycerol O-acyltransferase 1 (DGAT1) significantly impacts subcutaneous fat thickness (SFT) in cattle. This study identified DGAT1 as the primary gene influencing SFT, offering insights into beef cattle genetics.
Area of Science:
- Animal Genetics
- Quantitative Trait Loci (QTL) Analysis
- Bioinformatics
Background:
- Candidate gene approaches are crucial for identifying genes controlling quantitative traits.
- Five genes (DGAT1, FABP3, GH1, LEP, TG) were previously linked to subcutaneous fat thickness (SFT) in beef cattle.
Purpose of the Study:
- To evaluate the effects of five candidate genes on SFT in a Wagyu x Limousin F2 population.
- To determine the relative magnitudes of effects of polymorphisms in these candidate genes.
Main Methods:
- Bayesian model selection was employed to compare competing non-nested models.
- Candidate gene effects were analyzed as both random and fixed effects.
- Analyses were performed using SAS software.
Main Results:
- All five candidate genes exhibited significant, yet varying, effects on SFT.
- The Diacyglycerol O-acyltransferase 1 (DGAT1) model demonstrated the highest probability, irrespective of whether gene effects were random or fixed.
- DGAT1 displayed the most substantial additive effect on SFT.
Conclusions:
- DGAT1 is a key genetic determinant of SFT in the studied beef cattle population.
- Bayesian model selection provides a robust framework for evaluating candidate gene effects.
- The developed SAS codes are available for public use to facilitate further research.