Skip to main content

Advertisement

Table 6 Sampling correlation between estimated variance components

From: Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits

  Model (f, c) (f, u) (c, u) (f, g) (c, g) (f, snp) (c, snp) (g, snp)
FDC 1 -0.28 -0.02 -0.41 N/A N/A N/A N/A N/A
  2 -0.28 N/A N/A -0.22 -0.01 N/A N/A N/A
  3 -0.28 N/A N/A -0.23 -0.01 -0.01 0 0
  4 -0.29 N/A N/A -0.23 -0.02 0 0 0
REP 1 -0.09 -0.85 -0.01 N/A N/A N/A N/A N/A
  2 -0.24 N/A N/A -0.17 0.01 N/A N/A N/A
  3 -0.25 N/A N/A -0.18 0.01 0 0 0
  4 -0.26 N/A N/A -0.18 0.01 -0.01 0.01 0.01
WT 1 0.11 -0.94 -0.2 N/A N/A N/A N/A N/A
  2 -0.22 N/A N/A -0.1 0.01 N/A N/A N/A
  3 -0.23 N/A N/A -0.11 0.02 0 0 0
  4 -0.23 N/A N/A -0.11 0.02 -0.01 0.01 0
CC 1 -0.09 -0.91 -0.09 N/A N/A N/A N/A N/A
  2 -0.11 N/A N/A -0.11 -0.02 N/A N/A N/A
  3 -0.11 N/A N/A -0.16 -0.05 0 0 0
  4 -0.11 N/A N/A -0.19 -0.09 0 0 0
  1. Correlation between estimated variance components for family (f), cage (c), polygenic effects based on pedigree (u) and realized relationships (g), and specific SNP effects (snp) when using model 1, 2, 3 and 4.