Project measure / variable:   Brown2   pct_vis_acuit64

ID, description, units MPD:22554   pct_vis_acuit64   visual acuity, percent correct performance   [%]  grating threshold 0.64 (high)  
Data set, strains Brown2   inbred   14 strains     sex: both     age: 10-18wks
Procedure visual water box
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  STRAIN COMPARISON PLOT
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Brown2 - visual acuity, percent correct performance grating threshold 0.64 (high)



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains14 strains
Mean of the strain means44.0   % 41.6   %
Median of the strain means44.0   % 46.0   %
SD of the strain means± 9.40 ± 11.9
Coefficient of variation (CV)0.214 0.285
Min–max range of strain means25.0   –   58.3   % 24.7   –   58.3   %
Mean sample size per strain6.2   mice 7.4   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 223.7348 223.7348 0.7797 0.3788
strain 11 13242.778 1203.8889 4.1957 < 0.0001
sex:strain 11 3456.1487 314.1953 1.095 0.3701
Residuals 133 38162.0413 286.9326


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 50.0 17.7   2   12.5 0.354 37.5, 62.5 0.64
129S1/SvImJ m 27.1 21.5   6 8.79 0.795 -1.22
A/J f 50.0 26.5   5 11.9 0.53 12.5, 87.5 0.64
A/J m 45.0 12.1   10 3.82 0.268 25.0, 62.5 0.28
AKR/J m 48.1 17.6   13 4.87 0.365 25.0, 75.0 0.55
BALB/cByJ f 46.9 21.3   4 10.7 0.455 25.0, 75.0 0.31
BALB/cByJ m 58.3 10.2   6 4.17 0.175 50.0, 75.0 1.4
BALB/cJ f 41.1 20.0   7 7.58 0.488 -0.31
BALB/cJ m 47.9 27.9   6 11.4 0.581 25.0, 87.5 0.53
C3H/HeJ f 41.1 9.45   7 3.57 0.23 25.0, 50.0 -0.31
C3H/HeJ m 46.9 21.9   8 7.75 0.467 25.0, 75.0 0.44
C57BL/6J f 47.9 16.6   6 6.78 0.347 25.0, 75.0 0.42
C57BL/6J m 28.8 20.5   10 6.47 0.711 -1.08
CAST/EiJ f 25.0 10.2   4 5.1 0.408 12.5, 37.5 -2.02
CAST/EiJ m 24.7 20.2   6 8.26 0.819 -1.42
DBA/2J f 36.2 10.9   10 3.46 0.302 25.0, 62.5 -0.83
DBA/2J m 35.4 14.6   6 5.97 0.413 12.5, 50.0 -0.52
FVB/NJ f 37.5 10.2   4 5.1 0.272 25.0, 50.0 -0.69
FVB/NJ m 53.1 12.0   4 5.98 0.225 37.5, 62.5 0.97
MOLF/EiJ f 56.2 14.7   10 4.66 0.262 37.5, 87.5 1.3
MOLF/EiJ m 52.5 13.7   5 6.12 0.261 37.5, 75.0 0.92
SJL/J f 58.3 12.9   6 5.27 0.221 50.0, 75.0 1.52
SJL/J m 55.6 9.75   9 3.25 0.176 37.5, 62.5 1.18
SM/J f 37.5 17.7   9 5.89 0.471 12.5, 62.5 -0.69
SM/J m 30.4 18.9   7 7.14 0.623 -0.94
SPRET/EiJ m 28.8 13.2   10 4.19 0.461 12.5, 50.0 -1.08


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 50.0 11.9777 73.6915 26.3085
129S1/SvImJ m 27.0833 6.9154 40.7616 13.405
A/J f 50.0 7.5754 64.9838 35.0162
A/J m 45.0 5.3566 55.5952 34.4048
BALB/cByJ f 46.875 8.4695 63.6274 30.1226
BALB/cByJ m 58.3333 6.9154 72.0116 44.655
BALB/cJ f 41.0714 6.4024 53.7351 28.4078
BALB/cJ m 47.9167 6.9154 61.595 34.2384
C3H/HeJ f 41.0714 6.4024 53.7351 28.4078
C3H/HeJ m 46.875 5.9889 58.7208 35.0292
C57BL/6J f 47.9167 6.9154 61.595 34.2384
C57BL/6J m 28.75 5.3566 39.3452 18.1548
CAST/EiJ f 25.0 8.4695 41.7524 8.2476
CAST/EiJ m 24.7167 6.9154 38.395 11.0384
DBA/2J f 36.25 5.3566 46.8452 25.6548
DBA/2J m 35.4167 6.9154 49.095 21.7384
FVB/NJ f 37.5 8.4695 54.2524 20.7476
FVB/NJ m 53.125 8.4695 69.8774 36.3726
MOLF/EiJ f 56.25 5.3566 66.8452 45.6548
MOLF/EiJ m 52.5 7.5754 67.4838 37.5162
SJL/J f 58.3333 6.9154 72.0116 44.655
SJL/J m 55.5556 5.6464 66.7238 44.3873
SM/J f 37.5 5.6464 48.6683 26.3317
SM/J m 30.3571 6.4024 43.0208 17.6935


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 38.5417 6.9154 52.22 24.8634
A/J both 47.5 4.639 56.6757 38.3243
BALB/cByJ both 52.6042 5.4671 63.4178 41.7905
BALB/cJ both 44.494 4.712 53.8142 35.1739
C3H/HeJ both 43.9732 4.3834 52.6434 35.303
C57BL/6J both 38.3333 4.3737 46.9843 29.6824
CAST/EiJ both 24.8583 5.4671 35.672 14.0447
DBA/2J both 35.8333 4.3737 44.4843 27.1824
FVB/NJ both 45.3125 5.9889 57.1583 33.4667
MOLF/EiJ both 54.375 4.639 63.5507 45.1993
SJL/J both 56.9444 4.4638 65.7737 48.1151
SM/J both 33.9286 4.2682 42.371 25.4861




  GWAS USING LINEAR MIXED MODELS