Project measure / variable:   Brown2   vis_acuit_ave_d8

ID, description, units MPD:22559   vis_acuit_ave_d8   latency to reach cued platform   [s]  grating threshold overall mean  
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 - latency to reach cued platform grating threshold overall mean



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains14 strains
Mean of the strain means17.2   s 16.2   s
Median of the strain means13.5   s 15.4   s
SD of the strain means± 11.2 ± 6.11
Coefficient of variation (CV)0.654 0.378
Min–max range of strain means5.30   –   38.8   s 7.53   –   24.4   s
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 31.8521 31.8521 0.4017 0.5273
strain 11 8526.7786 775.1617 9.7752 < 0.0001
sex:strain 11 2141.3288 194.6663 2.4548 0.008
Residuals 133 10546.7686 79.299


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 10.9 6.37   2   4.51 0.585 6.39, 15.4 -0.56
129S1/SvImJ m 21.7 15.3   6 6.23 0.704 10.2, 51.1 0.9
A/J f 32.6 17.7   5 7.91 0.543 15.2, 60.0 1.37
A/J m 21.6 14.1   10 4.44 0.651 8.84, 51.2 0.89
AKR/J m 9.17 2.72   13 0.755 0.297 5.75, 14.7 -1.15
BALB/cByJ f 38.8 16.6   4 8.32 0.429 24.8, 59.6 1.92
BALB/cByJ m 24.4 6.76   6 2.76 0.278 16.3, 33.3 1.35
BALB/cJ f 33.7 10.6   7 4.0 0.314 14.6, 47.1 1.47
BALB/cJ m 23.5 5.88   6 2.4 0.25 15.3, 32.8 1.2
C3H/HeJ f 16.0 8.41   7 3.18 0.525 9.27, 33.9 -0.11
C3H/HeJ m 21.1 7.27   8 2.57 0.345 12.0, 33.5 0.81
C57BL/6J f 8.54 2.24   6 0.913 0.262 6.62, 11.5 -0.77
C57BL/6J m 8.67 5.12   10 1.62 0.59 5.0, 22.9 -1.23
CAST/EiJ f 9.91 2.7   4 1.35 0.272 6.3, 12.8 -0.65
CAST/EiJ m 12.0 4.07   6 1.66 0.339 7.91, 17.6 -0.68
DBA/2J f 5.3 1.04   10 0.329 0.196 3.87, 7.04 -1.06
DBA/2J m 15.1 12.0   6 4.9 0.794 5.37, 36.3 -0.17
FVB/NJ f 14.8 9.24   4 4.62 0.623 7.46, 27.6 -0.21
FVB/NJ m 12.8 6.96   4 3.48 0.543 6.76, 21.8 -0.55
MOLF/EiJ f 14.4 6.96   10 2.2 0.485 9.15, 32.0 -0.25
MOLF/EiJ m 22.4 14.2   5 6.37 0.637 9.54, 41.2 1.02
SJL/J f 12.6 2.7   6 1.1 0.214 9.88, 15.6 -0.41
SJL/J m 15.8 9.52   9 3.17 0.604 8.24, 37.7 -0.06
SM/J f 8.81 3.29   9 1.1 0.374 4.55, 14.3 -0.75
SM/J m 7.53 1.99   7 0.751 0.264 5.09, 10.7 -1.41
SPRET/EiJ m 10.6 3.46   10 1.09 0.328 6.76, 17.6 -0.91


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 10.895 6.2968 23.3498 0.0
129S1/SvImJ m 21.6833 3.6355 28.8741 14.4926
A/J f 32.56 3.9824 40.4371 24.6829
A/J m 21.584 2.816 27.154 16.014
BALB/cByJ f 38.75 4.4525 47.5569 29.9431
BALB/cByJ m 24.3667 3.6355 31.5574 17.1759
BALB/cJ f 33.7429 3.3658 40.4002 27.0855
BALB/cJ m 23.5333 3.6355 30.7241 16.3426
C3H/HeJ f 16.01 3.3658 22.6674 9.3526
C3H/HeJ m 21.1 3.1484 27.3274 14.8726
C57BL/6J f 8.54 3.6355 15.7308 1.3492
C57BL/6J m 8.673 2.816 14.243 3.103
CAST/EiJ f 9.9075 4.4525 18.7144 1.1006
CAST/EiJ m 12.0 3.6355 19.1908 4.8092
DBA/2J f 5.3 2.816 10.87 0.0
DBA/2J m 15.11 3.6355 22.3008 7.9192
FVB/NJ f 14.8325 4.4525 23.6394 6.0256
FVB/NJ m 12.8225 4.4525 21.6294 4.0156
MOLF/EiJ f 14.357 2.816 19.927 8.787
MOLF/EiJ m 22.368 3.9824 30.2451 14.4909
SJL/J f 12.6383 3.6355 19.8291 5.4476
SJL/J m 15.7744 2.9683 21.6457 9.9032
SM/J f 8.8078 2.9683 14.679 2.9365
SM/J m 7.5271 3.3658 14.1845 0.8698


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 16.2892 3.6355 23.4799 9.0984
A/J both 27.072 2.4387 31.8957 22.2483
BALB/cByJ both 31.5583 2.8741 37.2431 25.8735
BALB/cJ both 28.6381 2.4771 33.5378 23.7384
C3H/HeJ both 18.555 2.3044 23.113 13.997
C57BL/6J both 8.6065 2.2993 13.1543 4.0587
CAST/EiJ both 10.9538 2.8741 16.6386 5.2689
DBA/2J both 10.205 2.2993 14.7528 5.6572
FVB/NJ both 13.8275 3.1484 20.0549 7.6001
MOLF/EiJ both 18.3625 2.4387 23.1862 13.5388
SJL/J both 14.2064 2.3467 18.848 9.5648
SM/J both 8.1675 2.2438 12.6057 3.7292




  GWAS USING LINEAR MIXED MODELS