title: Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle.
abstract: A Bayesian analysis of longitudinal mastitis records obtained in the course of lactation was undertaken. Data were 3341 test-day binary records from 329 first lactation Holstein cows scored for mastitis at 14 and 30 days of lactation and every 30 days thereafter. First, the conditional probability of a sequence for a given cow was the product of the probabilities at each test-day. The probability of infection at time t for a cow was a normal integral, with its argument being a function of "fixed" and "random" effects and of time. Models for the latent normal variable included effects of: (1) year-month of test + a five-parameter linear regression function ("fixed", within age-season of calving) + genetic value of the cow + environmental effect peculiar to all records of the same cow + residual. (2) As in (1), but with five parameter random genetic regressions for each cow. (3) A hierarchical structure, where each of three parameters of the regression function for each cow followed a mixed effects linear model. Model 1 posterior mean of heritability was 0.05. Model 2 heritabilities were: 0.27, 0.05, 0.03 and 0.07 at days 14, 60, 120 and 305, respectively. Model 3 heritabilities were 0.57, 0.16, 0.06 and 0.18 at days 14, 60, 120 and 305, respectively. Bayes factors were: 0.011 (Model 1/Model 2), 0.017 (Model 1/Model 3) and 1.535 (Model 2/Model 3). The probability of mastitis for an "average" cow, using Model 2, was: 0.06, 0.05, 0.06 and 0.07 at days 14, 60, 120 and 305, respectively. Relaxing the conditional independence assumption via an autoregressive process (Model 2) improved the results slightly.
authors.affiliation: Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA. rrekaya@arches.uga.edu
authors.forename: Romdhane
authors.initials: R
authors.lastname: Rekaya
authors.forename: Daniel
authors.initials: D
authors.lastname: Gianola
authors.forename: Kent
authors.initials: K
authors.lastname: Weigel
authors.forename: George
authors.initials: G
authors.lastname: Shook
mesh_terms: D000818:Animals; D002417:Cattle; D003627:Data Interpretation, Statistical; D005260:Female; D020022:Genetic Predisposition to Disease; D008414:Mastitis, Bovine / Q000235:genetics*; D008957:Models, Genetic