Project measure / variable:   Brown1   close_ent_EPM

ID, description, units MPD:9422   close_ent_EPM   closed arms entries   [n]  
Data set, strains Brown1   inbred   14 strains     sex: both     age: 10wks
Procedure elevated plus maze
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  STRAIN COMPARISON PLOT
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Brown1 - closed arms entries



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means10.2   n 10.1   n
Median of the strain means10.1   n 11.1   n
SD of the strain means± 4.03 ± 3.56
Coefficient of variation (CV)0.396 0.351
Min–max range of strain means4.32   –   17.3   n 4.67   –   15.8   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 8.6431 8.6431 0.5423 0.462
strain 12 4462.4363 371.8697 23.3334 < 0.0001
sex:strain 12 285.0065 23.7505 1.4903 0.1265
Residuals 302 4813.036 15.9372


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 7.42 3.53   12 1.02 0.476 2.0, 15.0 -0.69
129S1/SvImJ m 8.33 2.64   12 0.762 0.317 4.0, 12.0 -0.51
A/J f 4.75 2.93   12 0.845 0.616 -1.35
A/J m 6.35 2.62   17 0.636 0.413 -1.06
AKR/J f 15.7 7.25   12 2.09 0.463 2.0, 27.0 1.36
AKR/J m 12.5 4.07   19 0.935 0.327 5.0, 20.0 0.67
BALB/cByJ f 4.32 3.91   22 0.833 0.905 -1.46
BALB/cByJ m 4.67 4.03   12 1.16 0.864 -1.53
BALB/cJ f 5.85 2.82   13 0.783 0.483 2.0, 11.0 -1.08
BALB/cJ m 5.17 4.69   12 1.35 0.907 -1.39
C3H/HeJ f 7.87 4.75   15 1.23 0.604 3.0, 18.0 -0.58
C3H/HeJ m 8.12 5.29   16 1.32 0.651 1.0, 20.0 -0.56
C57BL/6J f 13.7 3.8   12 1.1 0.278 9.0, 21.0 0.87
C57BL/6J m 11.1 3.5   12 1.01 0.316 5.0, 17.0 0.27
CAST/EiJ f 10.8 3.49   5 1.56 0.323 5.0, 14.0 0.15
CAST/EiJ m 11.8 1.93   10 0.611 0.164 8.0, 14.0 0.47
DBA/2J f 8.42 3.75   12 1.08 0.446 3.0, 16.0 -0.44
DBA/2J m 11.4 2.75   13 0.764 0.242 6.0, 16.0 0.36
FVB/NJ f 13.3 2.27   12 0.655 0.17 9.0, 16.0 0.77
FVB/NJ m 15.8 4.2   12 1.21 0.265 10.0, 23.0 1.59
MOLF/EiJ f 17.3 4.88   11 1.47 0.283 11.0, 28.0 1.76
MOLF/EiJ m 14.7 2.83   11 0.854 0.192 10.0, 19.0 1.28
SJL/J f 13.2 3.53   13 0.98 0.269 6.0, 19.0 0.75
SJL/J m 13.2 3.88   12 1.12 0.295 7.0, 19.0 0.86
SM/J f 10.1 5.28   8 1.87 0.521 3.0, 17.0 -0.02
SM/J m 8.55 4.95   11 1.49 0.579 3.0, 20.0 -0.44
SPRET/EiJ f 10.0 0.0   1   0.0 0.0 10.0, 10.0 -0.05


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 7.4167 1.1524 9.6845 5.1489
129S1/SvImJ m 8.3333 1.1524 10.6011 6.0655
A/J f 4.75 1.1524 7.0178 2.4822
A/J m 6.3529 0.9682 8.2583 4.4476
AKR/J f 15.6667 1.1524 17.9345 13.3989
AKR/J m 12.4737 0.9159 14.276 10.6714
BALB/cByJ f 4.3182 0.8511 5.9931 2.6433
BALB/cByJ m 4.6667 1.1524 6.9345 2.3989
BALB/cJ f 5.8462 1.1072 8.025 3.6673
BALB/cJ m 5.1667 1.1524 7.4345 2.8989
C3H/HeJ f 7.8667 1.0308 9.8951 5.8383
C3H/HeJ m 8.125 0.998 10.089 6.161
C57BL/6J f 13.6667 1.1524 15.9345 11.3989
C57BL/6J m 11.0833 1.1524 13.3511 8.8155
CAST/EiJ f 10.8 1.7853 14.3133 7.2867
CAST/EiJ m 11.8 1.2624 14.2843 9.3157
DBA/2J f 8.4167 1.1524 10.6845 6.1489
DBA/2J m 11.3846 1.1072 13.5635 9.2058
FVB/NJ f 13.3333 1.1524 15.6011 11.0655
FVB/NJ m 15.8333 1.1524 18.1011 13.5655
MOLF/EiJ f 17.2727 1.2037 19.6414 14.9041
MOLF/EiJ m 14.7273 1.2037 17.0959 12.3586
SJL/J f 13.1538 1.1072 15.3327 10.975
SJL/J m 13.1667 1.1524 15.4345 10.8989
SM/J f 10.125 1.4114 12.9025 7.3475
SM/J m 8.5455 1.2037 10.9141 6.1768


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 7.875 0.8149 9.4786 6.2714
A/J both 5.5515 0.7526 7.0325 4.0705
AKR/J both 14.0702 0.736 15.5186 12.6218
BALB/cByJ both 4.4924 0.7163 5.9021 3.0828
BALB/cJ both 5.5064 0.7991 7.0789 3.934
C3H/HeJ both 7.9958 0.7174 9.4075 6.5841
C57BL/6J both 12.375 0.8149 13.9786 10.7714
CAST/EiJ both 11.3 1.0933 13.4514 9.1486
DBA/2J both 9.9006 0.7991 11.4731 8.3282
FVB/NJ both 14.5833 0.8149 16.1869 12.9797
MOLF/EiJ both 16.0 0.8511 17.6749 14.3251
SJL/J both 13.1603 0.7991 14.7327 11.5878
SM/J both 9.3352 0.9275 11.1604 7.5101




  GWAS USING LINEAR MIXED MODELS