Table 3.

Multiple-regression analysis of variance for ACR

Locus (cM)LODVariance (%)FP
Chr 1 @
Chr 4 @ 53.24.546.847.350.0008
Chr 15 @
Chr 17 @
  • Multiple regression was used to fit a QTL model for ACR. The full model explained 24% of the phenotype variance (P = 2.4 × 10−7). Each locus is dropped from the model, one at a time, and compared with the full model with all of the main effect terms included. LOD is the log-likelihood ratio from the comparison of the reduced model and the full model. Variance (%) is the estimated proportion of variance explained by each term (locus).