Project measure / variable:   Shin1   EPM_open

ID, description, units MPD:54506   EPM_open   percent time spent in open arms for 5 min   [%]  
Data set, strains Shin1   inbred   11 strains     sex: m     age: 12-14wks
Procedure elevated plus maze
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  STRAIN COMPARISON PLOT
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Shin1 - percent time spent in open arms for 5 min



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested11 strains
Mean of the strain means21.5   %
Median of the strain means19.3   %
SD of the strain means± 8.94
Coefficient of variation (CV)0.416
Min–max range of strain means8.37   –   41.8   %
Mean sample size per strain12.6   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 10 9835.3309 983.5331 3.1703 0.0012
Residuals 127 39399.7333 310.2341


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ m 13.0 28.8   12 8.3 2.22 -0.95
129S4/SvJaeJ m 8.37 13.8   15 3.56 1.65 -1.47
AKR/J m 18.2 7.34   13 2.04 0.404 6.39, 29.0 -0.37
BALB/cByJ m 20.5 22.9   12 6.62 1.12 0.37, 76.3 -0.11
BTBR T+ Itpr3tf/J m 28.8 20.3   12 5.86 0.704 1.08, 57.7 0.82
C3H/HeJ m 17.8 9.41   13 2.61 0.528 4.16, 38.6 -0.41
C57BL/6J m 23.3 12.3   10 3.88 0.527 7.29, 44.6 0.2
C57BL/6NTac m 27.9 26.7   14 7.13 0.956 2.71, 89.4 0.71
DBA/2J m 17.6 13.0   13 3.6 0.739 1.13, 41.4 -0.44
FVB/NJ m 41.8 12.5   11 3.78 0.3 22.2, 59.9 2.27
NOD/ShiLtJ m 19.3 10.9   13 3.02 0.565 0.93, 42.4 -0.25


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 12.9583 5.0846 23.0198 2.8969
129S4/SvJaeJ m 8.37 4.5478 17.3692 0.0
AKR/J m 18.1608 4.8851 27.8275 8.494
BALB/cByJ m 20.5217 5.0846 30.5831 10.4602
BTBR T+ Itpr3tf/J m 28.8425 5.0846 38.9039 18.7811
C3H/HeJ m 17.81 4.8851 27.4767 8.1433
C57BL/6J m 23.311 5.5699 34.3328 12.2892
C57BL/6NTac m 27.8843 4.7074 37.1994 18.5692
DBA/2J m 17.5723 4.8851 27.239 7.9056
FVB/NJ m 41.8464 5.3107 52.3552 31.3375
NOD/ShiLtJ m 19.2685 4.8851 28.9352 9.6017




  GWAS USING LINEAR MIXED MODELS