Publications by authors named "Beatriz Castro Dias Cuyabano"
Article Synopsis
- The environmental factors significantly impact phenotypic expression, and traditional models usually treat different farms as independent units without considering nearby correlations.
- A new method uses GPS coordinates to factor in the physical distances between farms, providing a more accurate correlation of herd effects based on shared environmental factors.
- This approach led to more reliable genomic breeding value predictions in Hanwoo Korean cattle, with increases in prediction reliability ranging from 0.05 to 0.33, suggesting that traditional models might overestimate heritabilities despite minimal gains in phenotypic prediction.
Genomic models that incorporate dense marker information have been widely used for predicting genomic breeding values since they were first introduced, and it is known that the relationship between individuals in the reference population and selection candidates affects the prediction accuracy. When genomic evaluation is performed over generations of the same population, prediction accuracy is expected to decay if the reference population is not updated. Therefore, the reference population must be updated in each generation, but little is known about the optimal way to do it.
View Article and Find Full Text PDFSchizophrenia is a psychiatric disorder with large personal and social costs, and understanding the genetic etiology is important. Such knowledge can be obtained by testing the association between a disease phenotype and individual genetic markers; however, such single-marker methods have limited power to detect genetic markers with small effects. Instead, aggregating genetic markers based on biological information might increase the power to identify sets of genetic markers of etiological significance.
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