Zabaneh, D and Mackay, IJ (2003) Genome-wide linkage scan on estimated breeding values for a quantitative trait. BMC GENETICS , 4 , Article S61. 10.1186/1471-2156-4-S1-S61.
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Abstract
Background: A genome-wide linkage scan was performed on Replicate 1 of the simulated data for fasting triglyceride levels. The aim of this study was to implement mixed-model methodology to estimate breeding values for each individual for this trait and to assess the merit of these breeding values in linkage analysis. These breeding values utilize all the pedigree information, and the genetic and phenotypic correlations with other measured traits across the two cohorts. A genome-wide linkage scan was run on both the new breeding value traits and the original traits.Results: Using breeding values, a maximum LOD of 7.78 was found on chromosome 5 at a position very close to a gene underlying the triglyceride levels. This effect was not detected using the original trait.Conclusion: The results imply that estimating breeding values may be a suitable method of deriving traits for use in genome-wide scans.
| Type: | Article |
|---|---|
| Title: | Genome-wide linkage scan on estimated breeding values for a quantitative trait |
| Location: | NEW ORLEANS, LOUISIANA |
| Open access status: | An open access publication. A version is also available from UCL Discovery. |
| DOI: | 10.1186/1471-2156-4-S1-S61 |
| Publisher version: | http://dx.doi.org/10.1186/1471-2156-4-S1-S61 |
| Language: | English |
| Additional information: | © 2003 Zabaneh and Mackay; licensee BioMed Central Ltd |
| Keywords: | Chromosome Mapping, Chromosomes, Human, Pair 18, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 7, Cohort Studies, Computer Simulation, Fasting, Female, Genetic Linkage, Genetic Testing, Genome, Human, Humans, Lod Score, Longitudinal Studies, Male, Models, Genetic, Pedigree, Phenotype, Quantitative Trait, Heritable, Triglycerides |
| UCL classification: | UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Biosciences (Division of) > Genetics, Evolution and Environment > UCL Genetics Institute |
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