Project measure / variable:   Brown1   activity_EPM


  STRAIN COMPARISON PLOT
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Brown1 - total activity, line crosses plus rearing, 5 min test



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains14 strains
Mean of the strain means41.1   n 38.6   n
Median of the strain means34.5   n 41.0   n
SD of the strain means± 21.5 ± 19.4
Coefficient of variation (CV)0.522 0.502
Min–max range of strain means14.0   –   88.5   n 0   –   68.2   n
Mean sample size per strain10.6   mice 12.4   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 264.3827 264.3827 1.4795 0.2248
strain 12 74741.8283 6228.4857 34.8546 < 0.0001
sex:strain 12 5845.9794 487.165 2.7262 0.0016
Residuals 291 52001.3742 178.6989


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 23.3 11.3   12 3.25 0.483 2.0, 43.0 -0.83
129S1/SvImJ m 24.9 9.38   12 2.71 0.376 14.0, 39.0 -0.71
A/J f 18.0 11.5   12 3.31 0.637 7.0, 47.0 -1.08
A/J m 18.5 8.21   17 1.99 0.443 1.0, 34.0 -1.04
AKR/J f 48.9 17.8   12 5.15 0.365 23.0, 81.0 0.36
AKR/J m 40.3 6.92   19 1.59 0.172 25.0, 53.0 0.09
BALB/cByJ f 29.3 15.4   22 3.28 0.524 8.0, 58.0 -0.55
BALB/cByJ m 28.0 17.9   12 5.16 0.638 5.0, 66.0 -0.55
BALB/cJ f 28.6 12.0   13 3.33 0.419 7.0, 46.0 -0.58
BALB/cJ m 25.8 17.2   12 4.96 0.665 -0.66
C3H/HeJ f 39.7 8.24   15 2.13 0.208 26.0, 52.0 -0.07
C3H/HeJ m 44.4 12.7   16 3.17 0.286 23.0, 70.0 0.3
C57BL/6J f 46.9 10.2   12 2.95 0.218 28.0, 63.0 0.27
C57BL/6J m 41.7 11.9   12 3.45 0.286 21.0, 63.0 0.16
CAST/EiJ f 51.8 10.7   4 5.36 0.207 42.0, 62.0 0.5
CAST/EiJ m 43.6 16.7   10 5.28 0.383 15.0, 62.0 0.26
DBA/2J f 26.4 15.7   12 4.54 0.596 3.0, 64.0 -0.69
DBA/2J m 50.7 14.8   13 4.11 0.292 29.0, 70.0 0.62
FVB/NJ f 65.2 8.83   12 2.55 0.135 53.0, 80.0 1.12
FVB/NJ m 63.6 10.6   12 3.05 0.166 41.0, 78.0 1.29
MOLF/EiJ f 88.5 36.1   2   25.5 0.407 63.0, 114.0 2.21
MOLF/EiJ m 64.2 16.0   10 5.05 0.249 32.0, 95.0 1.32
SJL/J f 67.2 15.9   12 4.59 0.236 40.0, 91.0 1.21
SJL/J m 68.2 14.8   12 4.26 0.216 29.0, 80.0 1.53
SM/J f 28.0 18.0   9 5.99 0.642 6.0, 57.0 -0.61
SM/J m 26.5 12.5   11 3.78 0.472 6.0, 50.0 -0.62
SPRET/EiJ f 14.0 19.8   2   14.0 1.41 -1.26
SPRET/EiJ m 0.0 0.0   1   0.0 0.0 -1.99


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 23.3333 3.859 30.9283 15.7383
129S1/SvImJ m 24.9167 3.859 32.5117 17.3217
A/J f 18.0 3.859 25.595 10.405
A/J m 18.5294 3.2422 24.9105 12.1483
AKR/J f 48.9167 3.859 56.5117 41.3217
AKR/J m 40.3158 3.0668 46.3517 34.2799
BALB/cByJ f 29.3182 2.85 34.9275 23.7089
BALB/cByJ m 28.0 3.859 35.595 20.405
BALB/cJ f 28.6154 3.7076 35.9124 21.3183
BALB/cJ m 25.8333 3.859 33.4283 18.2383
C3H/HeJ f 39.6667 3.4516 46.4599 32.8735
C3H/HeJ m 44.4375 3.342 51.015 37.86
C57BL/6J f 46.9167 3.859 54.5117 39.3217
C57BL/6J m 41.6667 3.859 49.2617 34.0717
CAST/EiJ f 51.75 6.6839 64.9049 38.5951
CAST/EiJ m 43.6 4.2273 51.9199 35.2801
DBA/2J f 26.4167 3.859 34.0117 18.8217
DBA/2J m 50.6923 3.7076 57.9894 43.3953
FVB/NJ f 65.1667 3.859 72.7617 57.5717
FVB/NJ m 63.5833 3.859 71.1783 55.9883
MOLF/EiJ f 88.5 9.4525 107.1039 69.8961
MOLF/EiJ m 64.2 4.2273 72.5199 55.8801
SJL/J f 67.25 3.859 74.845 59.655
SJL/J m 68.1667 3.859 75.7617 60.5717
SM/J f 28.0 4.4559 36.77 19.23
SM/J m 26.5455 4.0306 34.4782 18.6127


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 24.125 2.7287 29.4955 18.7545
A/J both 18.2647 2.5201 23.2246 13.3048
AKR/J both 44.6162 2.4646 49.4669 39.7656
BALB/cByJ both 28.6591 2.3987 33.38 23.9382
BALB/cJ both 27.2244 2.6757 32.4906 21.9582
C3H/HeJ both 42.0521 2.4022 46.7799 37.3242
C57BL/6J both 44.2917 2.7287 49.6622 38.9212
CAST/EiJ both 47.675 3.9543 55.4576 39.8924
DBA/2J both 38.5545 2.6757 43.8207 33.2883
FVB/NJ both 64.375 2.7287 69.7455 59.0045
MOLF/EiJ both 76.35 5.1773 86.5398 66.1602
SJL/J both 67.7083 2.7287 73.0788 62.3378
SM/J both 27.2727 3.0042 33.1854 21.36




  GWAS USING LINEAR MIXED MODELS