Detection and utilization of single genes without DNA assays

被引:3
作者
Fernando, RL
Stricker, C
Wang, T
机构
[1] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
[2] Swiss Fed Inst Technol, Inst Anim Sci, ETH Zentrum, CLU, CH-8092 Zurich, Switzerland
[3] Univ Illinois, Dept Anim Sci, Urbana, IL 61801 USA
关键词
quantitative trait loci; genetic evaluation; maximum likelihood estimation; Elston-Stewart algorithm;
D O I
10.3168/jds.S0022-0302(98)70155-9
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Quantitative traits are often assumed to be controlled by a large number of loci that each have a small effect. Under this assumption, the distribution of genotypic and phenotypic values can be adequately modeled by a multivariate normal distribution. Thus, most genetic analyses are based on mixed linear models. Evidence is accumulating, however, for the presence of loci that have large effects on traits of economic importance. If the genotypes for such loci can be observed without error, then-conditional on these observed genotypes-genotypic and phenotypic values follow a multivariate normal distribution, and data from very large pedigrees can be analyzed using a mixed linear model that includes the genotypic effects for these loci as fixed effects. However, when the major genotype is not observed, the genotypic and phenotypic values follow a mixture of multivariate normal distributions, and analyses based on fitting a mixed linear model may not be optimum, especially for populations undergoing selection and nonrandom mating. Several approaches are discussed for the genetic analysis of data when the major genotypes are not known.
引用
收藏
页码:64 / 75
页数:12
相关论文
共 61 条
[1]  
[Anonymous], 1990, ADV STAT METHODGEN
[2]  
BEEVER JE, 1990, J ANIM SCI, V68, P337
[3]   COMPOUND REGRESSIVE MODELS FOR FAMILY DATA [J].
BONNEY, GE .
HUMAN HEREDITY, 1992, 42 (01) :28-41
[4]   PROBABILITY FUNCTIONS ON COMPLEX PEDIGREES [J].
CANNINGS, C ;
THOMPSON, EA ;
SKOLNICK, MH .
ADVANCES IN APPLIED PROBABILITY, 1978, 10 (01) :26-61
[5]   BAYESIAN-INFERENCE ABOUT DISPERSION PARAMETERS OF UNIVARIATE MIXED MODELS WITH MATERNAL EFFECTS - THEORETICAL CONSIDERATIONS [J].
CANTET, RJC ;
FERNANDO, RL ;
GIANOLA, D .
GENETICS SELECTION EVOLUTION, 1992, 24 (02) :107-135
[6]   STRUCTURAL VARIATION AROUND PROLACTIN GENE LINKED TO QUANTITATIVE TRAITS IN AN ELITE HOLSTEIN SIRE FAMILY [J].
COWAN, CM ;
DENTINE, MR ;
AX, RL ;
SCHULER, LA .
THEORETICAL AND APPLIED GENETICS, 1990, 79 (05) :577-582
[7]   MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM [J].
DEMPSTER, AP ;
LAIRD, NM ;
RUBIN, DB .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01) :1-38
[8]  
Elston R. C., 1990, Advances in statistical methods for genetic improvement of livestock.., P41
[9]   GENERAL MODEL FOR GENETIC ANALYSIS OF PEDIGREE DATA [J].
ELSTON, RC ;
STEWART, J .
HUMAN HEREDITY, 1971, 21 (06) :523-&
[10]   THE ELSTON-STEWART ALGORITHM FOR CONTINUOUS GENOTYPES AND ENVIRONMENTAL-FACTORS [J].
ELSTON, RC ;
GEORGE, VT ;
SEVERTSON, F .
HUMAN HEREDITY, 1992, 42 (01) :16-27