Project measure / variable:   Wiltshire4   monocytes_Dox_C


  STRAIN COMPARISON PLOT
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Wiltshire4 - monocytes, percent viability dose: 1.235 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested35 strains
Mean of the strain means57.0   %
Median of the strain means56.2   %
SD of the strain means± 16.7
Coefficient of variation (CV)0.294
Min–max range of strain means23.3   –   95.3   %
Mean sample size per strain4.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 34 38012.3558 1118.0105 7.5899 < 0.0001
Residuals 102 15024.7923 147.3019


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ m 77.5 29.7   4 14.9 0.384 45.9, 118.0 1.22
129X1/SvJ m 66.0 4.97   4 2.48 0.0753 60.9, 72.5 0.53
A/J m 41.3 2.23   4 1.11 0.054 39.3, 44.4 -0.94
AKR/J m 50.3 9.68   4 4.84 0.192 40.9, 61.4 -0.4
BALB/cByJ m 87.0 11.1   4 5.57 0.128 74.6, 97.3 1.79
BTBR T+ Itpr3tf/J m 53.9 12.0   4 6.02 0.223 37.4, 63.2 -0.19
C3H/HeJ m 45.0 3.19   4 1.6 0.0708 41.3, 48.9 -0.72
C57BL/6J m 23.3 9.05   4 4.53 0.389 15.2, 36.1 -2.02
C57BLKS/J m 33.4 11.4   4 5.71 0.342 19.0, 44.4 -1.41
C57BR/cdJ m 46.0 7.22   4 3.61 0.157 36.3, 51.5 -0.66
C58/J m 56.2 10.9   2   7.74 0.195 48.5, 64.0 -0.05
CBA/J m 48.9 12.2   4 6.11 0.25 35.2, 64.9 -0.49
CZECHII/EiJ m 53.9 1.87   4 0.933 0.0346 52.8, 56.7 -0.19
DBA/2J m 27.7 8.46   4 4.23 0.306 17.9, 37.0 -1.75
FVB/NJ m 56.8 6.92   4 3.46 0.122 47.9, 62.5 -0.01
I/LnJ m 71.6 12.7   4 6.35 0.177 60.5, 87.5 0.87
KK/HlJ m 95.3 5.19   4 2.6 0.0545 91.0, 102.0 2.28
LG/J m 72.3 8.04   4 4.02 0.111 62.8, 81.0 0.91
LP/J m 49.6 1.75   4 0.877 0.0354 47.9, 51.2 -0.44
MA/MyJ m 56.5 7.65   4 3.82 0.135 45.5, 63.0 -0.03
NOD/ShiLtJ m 45.5 2.95   4 1.48 0.0649 42.0, 48.4 -0.69
NON/ShiLtJ m 50.9 7.93   4 3.96 0.156 42.3, 61.3 -0.37
NZB/BlNJ m 33.5 8.69   4 4.34 0.259 21.4, 42.0 -1.41
NZO/HlLtJ m 73.7 5.09   4 2.54 0.069 66.3, 77.9 0.99
NZW/LacJ m 70.4 14.7   4 7.34 0.208 59.8, 92.1 0.8
PERA/EiJ m 51.5 7.02   4 3.51 0.136 41.7, 57.6 -0.33
PL/J m 65.4 12.5   4 6.26 0.192 54.5, 83.1 0.5
PWD/PhJ m 59.2 18.9   4 9.44 0.319 39.1, 82.4 0.13
PWK/PhJ m 43.3 11.0   4 5.5 0.255 28.6, 54.1 -0.82
RIIIS/J m 85.9 11.0   4 5.52 0.128 77.2, 102.0 1.72
SEA/GnJ m 68.8 13.9   4 6.95 0.202 52.3, 85.4 0.7
SJL/J m 40.2 10.9   4 5.47 0.272 31.2, 55.6 -1.01
SM/J m 64.6 8.34   4 4.17 0.129 54.9, 73.1 0.45
SWR/J m 61.5 11.7   4 5.83 0.19 48.6, 76.5 0.27
WSB/EiJ m 69.8 40.9   3 23.6 0.587 45.8, 117.0 0.76


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 77.47 6.0684 89.5066 65.4334
129X1/SvJ m 65.96 6.0684 77.9966 53.9234
A/J m 41.265 6.0684 53.3016 29.2284
AKR/J m 50.335 6.0684 62.3716 38.2984
BALB/cByJ m 87.0325 6.0684 99.0691 74.9959
BTBR T+ Itpr3tf/J m 53.9125 6.0684 65.9491 41.8759
C3H/HeJ m 45.035 6.0684 57.0716 32.9984
C57BL/6J m 23.255 6.0684 35.2916 11.2184
C57BLKS/J m 33.3675 6.0684 45.4041 21.3309
C57BR/cdJ m 46.0225 6.0684 58.0591 33.9859
C58/J m 56.24 8.582 73.2624 39.2176
CBA/J m 48.855 6.0684 60.8916 36.8184
CZECHII/EiJ m 53.89 6.0684 65.9266 41.8534
DBA/2J m 27.7025 6.0684 39.7391 15.6659
FVB/NJ m 56.8375 6.0684 68.8741 44.8009
I/LnJ m 71.625 6.0684 83.6616 59.5884
KK/HlJ m 95.315 6.0684 107.3516 83.2784
LG/J m 72.335 6.0684 84.3716 60.2984
LP/J m 49.555 6.0684 61.5916 37.5184
MA/MyJ m 56.4925 6.0684 68.5291 44.4559
NOD/ShiLtJ m 45.475 6.0684 57.5116 33.4384
NON/ShiLtJ m 50.8825 6.0684 62.9191 38.8459
NZB/BlNJ m 33.52 6.0684 45.5566 21.4834
NZO/HlLtJ m 73.74 6.0684 85.7766 61.7034
NZW/LacJ m 70.4225 6.0684 82.4591 58.3859
PERA/EiJ m 51.475 6.0684 63.5116 39.4384
PL/J m 65.36 6.0684 77.3966 53.3234
PWD/PhJ m 59.155 6.0684 71.1916 47.1184
PWK/PhJ m 43.255 6.0684 55.2916 31.2184
RIIIS/J m 85.8875 6.0684 97.9241 73.8509
SEA/GnJ m 68.85 6.0684 80.8866 56.8134
SJL/J m 40.25 6.0684 52.2866 28.2134
SM/J m 64.6 6.0684 76.6366 52.5634
SWR/J m 61.4875 6.0684 73.5241 49.4509
WSB/EiJ m 69.79 7.0072 83.6887 55.8913




  GWAS USING LINEAR MIXED MODELS