Project measure / variable:   Wiltshire4   Bcells_Dox_A


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability dose: 0.046 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested35 strains
Mean of the strain means86.5   %
Median of the strain means86.4   %
SD of the strain means± 12.8
Coefficient of variation (CV)0.148
Min–max range of strain means54.2   –   109   %
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 20991.0656 617.3843 1.8435 0.0101
Residuals 102 34159.7071 334.8991


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 108.0 38.9   4 19.5 0.361 60.9, 153.0 1.67
129X1/SvJ m 88.3 7.4   4 3.7 0.0837 77.6, 94.1 0.14
A/J m 91.4 13.3   4 6.66 0.146 75.0, 107.0 0.38
AKR/J m 80.1 12.3   4 6.15 0.154 63.9, 93.0 -0.5
BALB/cByJ m 97.5 7.96   4 3.98 0.0817 86.2, 105.0 0.85
BTBR T+ Itpr3tf/J m 103.0 18.9   4 9.43 0.182 85.0, 130.0 1.28
C3H/HeJ m 74.1 2.89   4 1.45 0.039 70.6, 77.7 -0.97
C57BL/6J m 85.9 11.8   4 5.9 0.137 74.2, 102.0 -0.05
C57BLKS/J m 76.3 9.44   4 4.72 0.124 67.6, 87.4 -0.8
C57BR/cdJ m 80.0 18.7   4 9.34 0.234 60.0, 104.0 -0.51
C58/J m 109.0 0.0   2   0.0 0.0 109.0, 109.0 1.75
CBA/J m 82.3 20.6   4 10.3 0.25 65.3, 112.0 -0.33
CZECHII/EiJ m 78.5 17.4   4 8.68 0.221 59.8, 102.0 -0.62
DBA/2J m 54.2 14.8   4 7.39 0.272 42.3, 74.1 -2.52
FVB/NJ m 72.9 10.8   4 5.38 0.148 60.4, 85.2 -1.06
I/LnJ m 96.8 32.3   4 16.2 0.334 52.9, 125.0 0.8
KK/HlJ m 75.5 3.13   4 1.56 0.0414 70.9, 77.9 -0.86
LG/J m 90.1 5.52   4 2.76 0.0613 84.9, 97.9 0.28
LP/J m 63.6 10.9   4 5.44 0.171 54.0, 78.9 -1.78
MA/MyJ m 92.2 11.7   4 5.83 0.126 75.2, 100.0 0.44
NOD/ShiLtJ m 101.0 20.1   4 10.1 0.2 83.8, 124.0 1.13
NON/ShiLtJ m 75.2 12.6   4 6.3 0.168 56.8, 84.3 -0.88
NZB/BlNJ m 78.5 2.73   4 1.37 0.0348 76.2, 82.3 -0.62
NZO/HlLtJ m 100.0 13.9   4 6.93 0.138 85.6, 119.0 1.05
NZW/LacJ m 95.7 24.2   4 12.1 0.253 73.8, 119.0 0.71
PERA/EiJ m 82.9 20.1   4 10.0 0.242 68.8, 112.0 -0.28
PL/J m 99.4 2.0   4 1.0 0.0201 96.8, 102.0 1.0
PWD/PhJ m 90.7 13.9   4 6.94 0.153 70.9, 102.0 0.33
PWK/PhJ m 95.9 4.54   4 2.27 0.0474 89.8, 100.0 0.73
RIIIS/J m 82.7 18.4   4 9.21 0.223 55.9, 96.5 -0.3
SEA/GnJ m 86.4 13.3   4 6.65 0.154 71.8, 103.0 -0.01
SJL/J m 65.8 52.1   4 26.0 0.791 28.0, 142.0 -1.61
SM/J m 88.2 13.9   4 6.96 0.158 73.7, 107.0 0.13
SWR/J m 81.2 20.3   4 10.2 0.251 57.1, 107.0 -0.41
WSB/EiJ m 105.0 20.4   3 11.8 0.195 81.4, 120.0 1.44


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 107.805 9.1501 125.9542 89.6558
129X1/SvJ m 88.35 9.1501 106.4992 70.2008
A/J m 91.42 9.1501 109.5692 73.2708
AKR/J m 80.055 9.1501 98.2042 61.9058
BALB/cByJ m 97.46 9.1501 115.6092 79.3108
BTBR T+ Itpr3tf/J m 103.39 9.1501 121.5392 85.2408
C3H/HeJ m 74.0575 9.1501 92.2067 55.9083
C57BL/6J m 85.905 9.1501 104.0542 67.7558
C57BLKS/J m 76.255 9.1501 94.4042 58.1058
C57BR/cdJ m 79.9875 9.1501 98.1367 61.8383
C58/J m 109.09 12.9402 134.7569 83.4231
CBA/J m 82.3 9.1501 100.4492 64.1508
CZECHII/EiJ m 78.535 9.1501 96.6842 60.3858
DBA/2J m 54.235 9.1501 72.3842 36.0858
FVB/NJ m 72.87 9.1501 91.0192 54.7208
I/LnJ m 96.845 9.1501 114.9942 78.6958
KK/HlJ m 75.54 9.1501 93.6892 57.3908
LG/J m 90.085 9.1501 108.2342 71.9358
LP/J m 63.6275 9.1501 81.7767 45.4783
MA/MyJ m 92.2075 9.1501 110.3567 74.0583
NOD/ShiLtJ m 100.6425 9.1501 118.7917 82.4933
NON/ShiLtJ m 75.16 9.1501 93.3092 57.0108
NZB/BlNJ m 78.52 9.1501 96.6692 60.3708
NZO/HlLtJ m 100.1275 9.1501 118.2767 81.9783
NZW/LacJ m 95.725 9.1501 113.8742 77.5758
PERA/EiJ m 82.8825 9.1501 101.0317 64.7333
PL/J m 99.4025 9.1501 117.5517 81.2533
PWD/PhJ m 90.7075 9.1501 108.8567 72.5583
PWK/PhJ m 95.8575 9.1501 114.0067 77.7083
RIIIS/J m 82.6625 9.1501 100.8117 64.5133
SEA/GnJ m 86.425 9.1501 104.5742 68.2758
SJL/J m 65.8375 9.1501 83.9867 47.6883
SM/J m 88.21 9.1501 106.3592 70.0608
SWR/J m 81.225 9.1501 99.3742 63.0758
WSB/EiJ m 104.5567 10.5657 125.5136 83.5997




  GWAS USING LINEAR MIXED MODELS