Prediction of selection response for threshold dichotomous traits.
Author(s) -
J. L. Foulley
Publication year - 1992
Publication title -
genetics.
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
ISSN - 3049-7094
DOI - 10.1093/genetics/132.4.1187
Subject(s) - selection (genetic algorithm) , bivariate analysis , univariate , statistics , mathematics , sire , trait , biology , genetic correlation , truncation (statistics) , inheritance (genetic algorithm) , normality , contrast (vision) , econometrics , genetics , genetic variation , multivariate statistics , computer science , zoology , artificial intelligence , gene , programming language
This paper presents a formula to predict expected response to one generation of truncation selection for a dichotomous trait under polygenic additive inheritance. The derivation relies on the threshold liability concept and on the normality assumption of the joint distribution of additive genetic values and their predictors used as selection criteria. This formula accounts for asymmetry of response when both the prevalence of the trait and the selection rate differ from 1/2 via a bivariate normal integral term. The relationship with the classical formula R = iota rho sigma G is explained with a Taylor expansion about a zero value of the correlation factor. Properties are illustrated with an example of sire selection based on progeny test performance which shows a departure from usual predictions up to 15-20% at low (0.05) or high (0.95) selection rates. Univariate approximations and extensions to several paths of genetic change are also discussed.
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