## Abstract In this paper, bivariate/multivariate variance component models are proposed for highβresolution combined linkage and association mapping of quantitative trait loci (QTL), based on combinations of pedigree and population data. Suppose that a quantitative trait locus is located in a chro
Association and linkage with quantitative traits
β Scribed by Dr. Terri M. King; Dakai Zhu; Christopher I. Amos
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 313 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0741-0395
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β¦ Synopsis
This paper examines two approaches for the analysis of quantitative traits: (1) association studies and (2) linkage studies. The trait studied was Q1 from simulated Problem 2 data set in Genetic Analysis Workshop 9. Our purpose was to evaluate associations present in the data, to identify nongenetic and genetic predictors of the trait, and to explore the simulated genome for linkage. Through the association study, we found evidence for the primary major gene associated with this trait. The linkage study found evidence of residual genetic effect acting through other traits. Adjustments of Q1 for 4 2 and 4 3 led to a failure to find significant effects of MG2 and MG3. This supports the suggestion that adjustment for genetically influenced traits for effects of other genetic traits can reduce the power to detect major gene effects. In summary, we detected the major gene directly associated with the trait of interest through association studies. Linkage analysis detected evidence for two other genes associated to a lesser degree with the trait. ' 1995 Wiley-Liss, Inc.
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## Abstract The two most popular methods to detect linkage of a quantitative trait to a marker are the HasemanβElston regression method and the variance components likelihoodβratio test. In the literature, these methods are frequently compared and the relative advantages and disadvantages of each m