Phenotype measure:   Brown1   avoid_index_EPM


  STRAIN COMPARISON PLOT
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Brown1 - open arms avoidance index



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means0.680   n 0.625   n
Median of the strain means0.694   n 0.627   n
SD of the strain means± 0.118 ± 0.0909
Coefficient of variation (CV)0.174 0.145
Min–max range of strain means0.460   –   0.912   n 0.478   –   0.721   n
Mean sample size per strain11.4   mice 12.7   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0592 0.0592 4.4695 0.0353
strain 12 2.6936 0.2245 16.9492 < 0.0001
sex:strain 12 0.4228 0.0352 2.6606 0.0021
Residuals 302 3.9995 0.0132


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 0.617 0.114   12 0.033 0.185 0.364, 0.751 -0.53
129S1/SvImJ m 0.698 0.162   12 0.0468 0.232 0.364, 0.963 0.8
A/J f 0.71 0.195   12 0.0562 0.274 0.339, 1.0 0.26
A/J m 0.582 0.169   17 0.041 0.29 0.26, 0.921 -0.47
AKR/J f 0.859 0.0574   12 0.0166 0.0668 0.785, 1.0 1.52
AKR/J m 0.717 0.0982   19 0.0225 0.137 0.571, 0.926 1.01
BALB/cByJ f 0.46 0.125   22 0.0267 0.272 0.27, 0.645 -1.86
BALB/cByJ m 0.483 0.16   12 0.0463 0.332 0.259, 0.831 -1.56
BALB/cJ f 0.651 0.18   13 0.0499 0.276 0.423, 1.0 -0.24
BALB/cJ m 0.478 0.118   12 0.0341 0.247 0.263, 0.72 -1.62
C3H/HeJ f 0.562 0.0929   15 0.024 0.165 0.445, 0.784 -0.99
C3H/HeJ m 0.531 0.0939   16 0.0235 0.177 0.329, 0.676 -1.03
C57BL/6J f 0.746 0.0918   12 0.0265 0.123 0.605, 0.904 0.56
C57BL/6J m 0.707 0.0747   12 0.0216 0.106 0.581, 0.844 0.9
CAST/EiJ f 0.578 0.0976   5 0.0437 0.169 0.442, 0.671 -0.86
CAST/EiJ m 0.593 0.0716   10 0.0226 0.121 0.502, 0.732 -0.35
DBA/2J f 0.741 0.159   12 0.046 0.215 0.501, 1.0 0.52
DBA/2J m 0.704 0.0872   13 0.0242 0.124 0.552, 0.84 0.87
FVB/NJ f 0.686 0.0794   12 0.0229 0.116 0.574, 0.783 0.05
FVB/NJ m 0.71 0.0775   12 0.0224 0.109 0.568, 0.8 0.93
MOLF/EiJ f 0.703 0.0758   11 0.0229 0.108 0.578, 0.843 0.2
MOLF/EiJ m 0.721 0.075   11 0.0226 0.104 0.54, 0.86 1.06
SJL/J f 0.702 0.0608   13 0.0169 0.0866 0.599, 0.799 0.19
SJL/J m 0.627 0.0637   12 0.0184 0.102 0.511, 0.724 0.02
SM/J f 0.588 0.0642   8 0.0227 0.109 0.494, 0.715 -0.77
SM/J m 0.575 0.0996   11 0.03 0.173 0.46, 0.8 -0.55
SPRET/EiJ f 0.912 0.0   1   0.0 0.0 0.912, 0.912 1.96


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.6172 0.0332 0.6825 0.5518
129S1/SvImJ m 0.698 0.0332 0.7634 0.6326
A/J f 0.7095 0.0332 0.7749 0.6441
A/J m 0.5821 0.0279 0.637 0.5272
AKR/J f 0.8589 0.0332 0.9243 0.7935
AKR/J m 0.7167 0.0264 0.7686 0.6647
BALB/cByJ f 0.4604 0.0245 0.5086 0.4121
BALB/cByJ m 0.4828 0.0332 0.5481 0.4174
BALB/cJ f 0.6512 0.0319 0.714 0.5883
BALB/cJ m 0.4779 0.0332 0.5433 0.4125
C3H/HeJ f 0.562 0.0297 0.6205 0.5035
C3H/HeJ m 0.5312 0.0288 0.5879 0.4746
C57BL/6J f 0.7457 0.0332 0.811 0.6803
C57BL/6J m 0.7069 0.0332 0.7723 0.6415
CAST/EiJ f 0.5784 0.0515 0.6797 0.4771
CAST/EiJ m 0.593 0.0364 0.6646 0.5214
DBA/2J f 0.7414 0.0332 0.8068 0.676
DBA/2J m 0.7035 0.0319 0.7663 0.6407
FVB/NJ f 0.6864 0.0332 0.7518 0.621
FVB/NJ m 0.7096 0.0332 0.775 0.6442
MOLF/EiJ f 0.7032 0.0347 0.7715 0.6349
MOLF/EiJ m 0.7206 0.0347 0.7889 0.6524
SJL/J f 0.7021 0.0319 0.7649 0.6393
SJL/J m 0.6273 0.0332 0.6926 0.5619
SM/J f 0.588 0.0407 0.6681 0.5079
SM/J m 0.5755 0.0347 0.6437 0.5072


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.6576 0.0235 0.7038 0.6114
A/J both 0.6458 0.0217 0.6885 0.6031
AKR/J both 0.7878 0.0212 0.8296 0.746
BALB/cByJ both 0.4716 0.0206 0.5122 0.4309
BALB/cJ both 0.5645 0.023 0.6099 0.5192
C3H/HeJ both 0.5466 0.0207 0.5873 0.5059
C57BL/6J both 0.7263 0.0235 0.7725 0.6801
CAST/EiJ both 0.5857 0.0315 0.6477 0.5237
DBA/2J both 0.7225 0.023 0.7678 0.6771
FVB/NJ both 0.698 0.0235 0.7442 0.6518
MOLF/EiJ both 0.7119 0.0245 0.7602 0.6636
SJL/J both 0.6647 0.023 0.71 0.6193
SM/J both 0.5817 0.0267 0.6343 0.5291




  GWAS USING LINEAR MIXED MODELS