Optimal number of repeated measurements for linkage analysis with parental phenotypes
The program calculates the optimal number of repeated measurements for variance components models for nuclear families with parental phenotypes.
BestRepeat(Vm, cost.pheno, Va, Vg, Ve, s)
Measurement error variance |
Ratio of phenotyping cost to genotyping and subject recruitment cost |
Major gene effect, the additive genetic variance due to the major gene |
Polygenic variance which is the genetic variance due to all residual additive effects not explained by the QTL|
Subject-specific environmental variance|
Number of offspring per family |
The model assums the total trait variance = Va + Vg + Ve + Vm
The function returns the optimal number of repeated measures.
Wei-Min Chen and Liming Liang
Liang L, Chen WM, Sham PC and Abecasis GR. Variance Components Linkage Analysis with Repeated Measurements (2008)
#Suppose that the genotyping plus recruitment cost per subject is 5 times the phenotyping cost per measure.
#The measurement error variance is 40.
#Major gene effect is 20, the polygene effect is 40 and the environmental variance is 40.
#There are 4 offspring per nuclear family with parental phenotypes available.
#The optimal number of repeated measures is given by
version 1.0 Index]