Project measure / variable:   Brown2   pct_vis_acuit32

ID, description, units MPD:22568   pct_vis_acuit32   visual acuity, percent correct performance   [%]  grating threshold 0.32  
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 0.32



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains14 strains
Mean of the strain means54.5   % 59.6   %
Median of the strain means58.5   % 53.4   %
SD of the strain means± 17.6 ± 13.5
Coefficient of variation (CV)0.323 0.227
Min–max range of strain means25.0   –   81.2   % 36.1   –   84.2   %
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 1 405.5469 405.5469 0.6396 0.4253
strain 11 22839.8914 2076.3538 3.2749 0.0005
sex:strain 11 8032.0758 730.1887 1.1517 0.327
Residuals 133 84324.95 634.0222


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 81.2 8.84   2   6.25 0.109 75.0, 87.5 1.51
129S1/SvImJ m 50.9 30.0   6 12.3 0.59 12.5, 75.0 -0.64
A/J f 45.0 16.8   5 7.5 0.373 25.0, 62.5 -0.54
A/J m 47.5 15.4   10 4.86 0.323 25.0, 75.0 -0.89
AKR/J m 75.0 22.8   13 6.33 0.304 25.0, 100.0 1.14
BALB/cByJ f 65.6 15.7   4 7.86 0.24 50.0, 87.5 0.63
BALB/cByJ m 72.9 20.0   6 8.18 0.275 37.5, 87.5 0.99
BALB/cJ f 33.9 39.3   7 14.9 1.16 -1.17
BALB/cJ m 50.0 26.2   6 10.7 0.524 12.5, 75.0 -0.71
C3H/HeJ f 64.3 16.8   7 6.36 0.262 37.5, 87.5 0.55
C3H/HeJ m 53.1 21.9   8 7.75 0.412 25.0, 87.5 -0.48
C57BL/6J f 66.7 28.1   6 11.5 0.422 12.5, 87.5 0.69
C57BL/6J m 65.0 27.5   10 8.7 0.423 12.5, 100.0 0.4
CAST/EiJ f 71.9 12.0   4 5.98 0.167 62.5, 87.5 0.99
CAST/EiJ m 53.6 22.9   6 9.34 0.427 28.6, 87.5 -0.44
DBA/2J f 67.5 25.8   10 8.16 0.383 25.0, 100.0 0.74
DBA/2J m 84.2 16.3   6 6.66 0.194 57.1, 100.0 1.82
FVB/NJ f 34.4 25.8   4 12.9 0.75 -1.14
FVB/NJ m 75.0 10.2   4 5.1 0.136 62.5, 87.5 1.14
MOLF/EiJ f 46.2 39.6   10 12.5 0.855 -0.47
MOLF/EiJ m 52.5 18.5   5 8.29 0.353 25.0, 75.0 -0.52
SJL/J f 25.0 28.5   6 11.6 1.14 -1.68
SJL/J m 36.1 22.0   9 7.33 0.609 -1.73
SM/J f 52.8 29.8   9 9.94 0.565 -0.1
SM/J m 51.8 18.3   7 6.92 0.353 37.5, 75.0 -0.57
SPRET/EiJ m 66.2 21.3   10 6.73 0.321 25.0, 87.5 0.49


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 81.25 17.8048 116.4672 46.0328
129S1/SvImJ m 50.8833 10.2796 71.216 30.5507
A/J f 45.0 11.2607 67.2733 22.7267
A/J m 47.5 7.9626 63.2496 31.7504
BALB/cByJ f 65.625 12.5899 90.5273 40.7227
BALB/cByJ m 72.9167 10.2796 93.2493 52.584
BALB/cJ f 33.9286 9.5171 52.753 15.1042
BALB/cJ m 50.0 10.2796 70.3327 29.6673
C3H/HeJ f 64.2857 9.5171 83.1101 45.4613
C3H/HeJ m 53.125 8.9024 70.7336 35.5164
C57BL/6J f 66.6667 10.2796 86.9993 46.334
C57BL/6J m 65.0 7.9626 80.7496 49.2504
CAST/EiJ f 71.875 12.5899 96.7773 46.9727
CAST/EiJ m 53.5833 10.2796 73.916 33.2507
DBA/2J f 67.5 7.9626 83.2496 51.7504
DBA/2J m 84.2167 10.2796 104.5493 63.884
FVB/NJ f 34.375 12.5899 59.2773 9.4727
FVB/NJ m 75.0 12.5899 99.9023 50.0977
MOLF/EiJ f 46.25 7.9626 61.9996 30.5004
MOLF/EiJ m 52.5 11.2607 74.7733 30.2267
SJL/J f 25.0 10.2796 45.3327 4.6673
SJL/J m 36.1111 8.3933 52.7127 19.5096
SM/J f 52.7778 8.3933 69.3793 36.1762
SM/J m 51.7857 9.5171 70.6101 32.9613


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 66.0667 10.2796 86.3993 45.734
A/J both 46.25 6.8958 59.8896 32.6104
BALB/cByJ both 69.2708 8.1267 85.3452 53.1964
BALB/cJ both 41.9643 7.0044 55.8187 28.1099
C3H/HeJ both 58.7054 6.5159 71.5935 45.8172
C57BL/6J both 65.8333 6.5014 78.6928 52.9738
CAST/EiJ both 62.7292 8.1267 78.8036 46.6548
DBA/2J both 75.8583 6.5014 88.7178 62.9988
FVB/NJ both 54.6875 8.9024 72.2961 37.0789
MOLF/EiJ both 49.375 6.8958 63.0146 35.7354
SJL/J both 30.5556 6.6355 43.6802 17.4309
SM/J both 52.2817 6.3447 64.8313 39.7322




  GWAS USING LINEAR MIXED MODELS