A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using the full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on
Multivariate Extensions of the Mixed Model for Quantitative Traits
β Scribed by J. M. Simpson
- Publisher
- John Wiley and Sons
- Year
- 1985
- Tongue
- English
- Weight
- 489 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
The mixed model for complex eegregation 8nalySiS of quantitative data from three-generational nuclear families is extended to the multivariate case. Likelihood functions for hypothesis testing are derived for two typea of conditional analysis of multiple traita: first when entry to the study depends on the index case's values of 811 the quaiitihtive traita that are of interest, and second when entry depends on only one trait, but other correlated traits are to be studied simultaneously.
Using direct products of covariance matrices, these functions are Been to be direct multivariate equivalence of the univariate functions.
π SIMILAR VOLUMES
Sib-pair linkage studies are widely used to investigate the genetic factors implicated in complex quantitative traits. To analyze these data, we propose a Maximum-Likelihood-Binomial (MLB) approach, which considers the sibship as a whole and relies on the idea of binomial distributions of parental a
We compared several strategies for identifying and estimating effects from a genetic locus in the etiology of a complex trait. For our analyses we used data from simulated trait 1 and chromosome 5. Results from analysis of the first 20 replicates showed that a components of variance test provided co