Compound regressive models for family data
GE Bonney - Human heredity, 1992 - karger.com
The regressive models for the analysis of family data are extended to include cases in which
the within-sibship covariation may exceed that implied by the class A regressive model, but …
the within-sibship covariation may exceed that implied by the class A regressive model, but …
[HTML][HTML] Powerful regression-based quantitative-trait linkage analysis of general pedigrees
We present a new method of quantitative-trait linkage analysis that combines the simplicity
and robustness of regression-based methods and the generality and greater power of …
and robustness of regression-based methods and the generality and greater power of …
Theory and practice in quantitative genetics
D Posthuma, AL Beem, EJC De Geus… - Twin Research and …, 2003 - cambridge.org
With the rapid advances in molecular biology, the near completion of the human genome,
the development of appropriate statistical genetic methods and the availability of the …
the development of appropriate statistical genetic methods and the availability of the …
[HTML][HTML] Estimation of variance components of quantitative traits in inbred populations
M Abney, MS McPeek, C Ober - The American Journal of Human Genetics, 2000 - cell.com
Use of variance-component estimation for mapping of quantitative-trait loci in humans is a
subject of great current interest. When only trait values, not genotypic information, are …
subject of great current interest. When only trait values, not genotypic information, are …
A Monte Carlo method for combined segregation and linkage analysis.
SW Guo, EA Thompson - American journal of human genetics, 1992 - ncbi.nlm.nih.gov
Abstract We introduce a Monte Carlo approach to combined segregation and linkage
analysis of a quantitative trait observed in an extended pedigree. In conjunction with the …
analysis of a quantitative trait observed in an extended pedigree. In conjunction with the …
A mixed-model likelihood approximation on large pedigrees
SJ Hasstedt - Computers and biomedical research, 1982 - Elsevier
The mixed model is an independent combination of major loci and polygenes. A method of
approximating the likelihood of the mixed model on quantitative data is presented. The …
approximating the likelihood of the mixed model on quantitative data is presented. The …
Multibreed analysis by splitting the breeding values
LA García-Cortés, MÁ Toro - Genetics Selection Evolution, 2006 - Springer
An equivalent model for multibreed variance covariance estimation is presented. It considers
the additive case including or not the segregation variances. The model is based on splitting …
the additive case including or not the segregation variances. The model is based on splitting …
[图书][B] A dictionary of statistical terms.
FHC Marriott - 1990 - cabidigitallibrary.org
Abstract Kendall and Buckland's Dictionary of statistical terms first appeared in 1957, and
came out in four editions. During this time, it has been the standard statistical dictionary, and …
came out in four editions. During this time, it has been the standard statistical dictionary, and …
Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations
LLG Janss, R Thompson, AM Van Arendonk - Theoretical and Applied …, 1995 - Springer
The application of Gibbs sampling is considered for inference in a mixed inheritance model
in animal populations. Implementation of the Gibbs sampler on scalar components, as used …
in animal populations. Implementation of the Gibbs sampler on scalar components, as used …
The finite polygenic mixed model: an alternative formulation for the mixed model of inheritance
RL Fernando, C Stricker, RC Elston - Theoretical and Applied Genetics, 1994 - Springer
This paper presents a mixed model of inheritance with a finite number of polygenic loci. This
model leads to a likelihood that can be calculated using efficient algorithms developed for …
model leads to a likelihood that can be calculated using efficient algorithms developed for …