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Project measure / variable:   Wiltshire4   monocytes_Dox_B


  STRAIN COMPARISON PLOT
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Wiltshire4 - monocytes, percent viability dose: 0.137 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested35 strains
Mean of the strain means79.4   %
Median of the strain means80.0   %
SD of the strain means± 12.8
Coefficient of variation (CV)0.161
Min–max range of strain means54.9   –   104   %
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 22135.6092 651.0473 5.8813 < 0.0001
Residuals 102 11291.1752 110.6978


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 104.0 20.9   4 10.4 0.201 87.8, 134.0 1.92
129X1/SvJ m 80.5 8.58   4 4.29 0.107 71.8, 89.4 0.08
A/J m 68.4 10.7   4 5.34 0.156 59.0, 77.8 -0.86
AKR/J m 77.9 9.25   4 4.63 0.119 66.7, 88.7 -0.12
BALB/cByJ m 102.0 11.5   4 5.75 0.113 88.7, 117.0 1.76
BTBR T+ Itpr3tf/J m 75.3 7.84   4 3.92 0.104 68.1, 86.0 -0.32
C3H/HeJ m 79.2 4.46   4 2.23 0.0562 73.9, 82.9 -0.02
C57BL/6J m 80.8 6.98   4 3.49 0.0864 73.9, 89.8 0.11
C57BLKS/J m 55.9 6.4   4 3.2 0.115 49.8, 63.8 -1.84
C57BR/cdJ m 65.1 4.33   4 2.17 0.0665 58.9, 68.4 -1.12
C58/J m 80.0 22.2   2   15.7 0.278 64.3, 95.7 0.04
CBA/J m 71.4 8.36   4 4.18 0.117 64.9, 82.8 -0.63
CZECHII/EiJ m 75.1 2.91   4 1.45 0.0387 71.8, 78.9 -0.34
DBA/2J m 54.9 9.33   4 4.66 0.17 45.1, 66.3 -1.92
FVB/NJ m 70.3 9.77   4 4.89 0.139 61.4, 84.0 -0.71
I/LnJ m 95.7 4.37   4 2.19 0.0457 90.0, 99.4 1.27
KK/HlJ m 77.5 8.22   4 4.11 0.106 65.2, 83.0 -0.15
LG/J m 90.0 6.28   4 3.14 0.0699 81.1, 94.6 0.83
LP/J m 65.2 3.47   4 1.73 0.0532 60.2, 68.2 -1.11
MA/MyJ m 90.1 4.41   4 2.2 0.0489 85.3, 94.2 0.83
NOD/ShiLtJ m 81.0 2.85   4 1.42 0.0352 77.0, 83.8 0.12
NON/ShiLtJ m 57.4 3.87   4 1.93 0.0675 52.4, 61.5 -1.72
NZB/BlNJ m 74.4 7.44   4 3.72 0.1 63.6, 80.0 -0.39
NZO/HlLtJ m 93.5 3.22   4 1.61 0.0345 89.1, 96.0 1.1
NZW/LacJ m 85.7 6.97   4 3.48 0.0812 77.3, 93.5 0.49
PERA/EiJ m 90.0 8.2   4 4.1 0.0911 79.6, 97.7 0.83
PL/J m 90.4 3.92   4 1.96 0.0434 84.6, 93.1 0.86
PWD/PhJ m 78.3 12.5   4 6.23 0.159 65.9, 91.7 -0.09
PWK/PhJ m 69.6 23.3   4 11.7 0.335 50.6, 101.0 -0.77
RIIIS/J m 91.4 16.0   4 8.02 0.175 77.4, 114.0 0.94
SEA/GnJ m 80.0 1.49   4 0.745 0.0186 78.2, 81.6 0.04
SJL/J m 57.8 6.33   4 3.17 0.11 49.5, 64.5 -1.69
SM/J m 92.5 7.23   4 3.61 0.0782 81.9, 98.2 1.02
SWR/J m 91.7 12.0   4 6.0 0.131 76.2, 102.0 0.96
WSB/EiJ m 87.3 33.2   3 19.2 0.38 50.8, 116.0 0.62


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 103.7625 5.2607 114.197 93.328
129X1/SvJ m 80.465 5.2607 90.8995 70.0305
A/J m 68.395 5.2607 78.8295 57.9605
AKR/J m 77.86 5.2607 88.2945 67.4255
BALB/cByJ m 102.0925 5.2607 112.527 91.658
BTBR T+ Itpr3tf/J m 75.3275 5.2607 85.762 64.893
C3H/HeJ m 79.245 5.2607 89.6795 68.8105
C57BL/6J m 80.84 5.2607 91.2745 70.4055
C57BLKS/J m 55.9025 5.2607 66.337 45.468
C57BR/cdJ m 65.0875 5.2607 75.522 54.653
C58/J m 80.015 7.4397 94.7716 65.2584
CBA/J m 71.4425 5.2607 81.877 61.008
CZECHII/EiJ m 75.1425 5.2607 85.577 64.708
DBA/2J m 54.8625 5.2607 65.297 44.428
FVB/NJ m 70.2775 5.2607 80.712 59.843
I/LnJ m 95.68 5.2607 106.1145 85.2455
KK/HlJ m 77.47 5.2607 87.9045 67.0355
LG/J m 89.9675 5.2607 100.402 79.533
LP/J m 65.1675 5.2607 75.602 54.733
MA/MyJ m 90.0525 5.2607 100.487 79.618
NOD/ShiLtJ m 80.9875 5.2607 91.422 70.553
NON/ShiLtJ m 57.365 5.2607 67.7995 46.9305
NZB/BlNJ m 74.365 5.2607 84.7995 63.9305
NZO/HlLtJ m 93.475 5.2607 103.9095 83.0405
NZW/LacJ m 85.73 5.2607 96.1645 75.2955
PERA/EiJ m 90.0275 5.2607 100.462 79.593
PL/J m 90.3675 5.2607 100.802 79.933
PWD/PhJ m 78.345 5.2607 88.7795 67.9105
PWK/PhJ m 69.6175 5.2607 80.052 59.183
RIIIS/J m 91.4 5.2607 101.8345 80.9655
SEA/GnJ m 80.0 5.2607 90.4345 69.5655
SJL/J m 57.7825 5.2607 68.217 47.348
SM/J m 92.4525 5.2607 102.887 82.018
SWR/J m 91.6775 5.2607 102.112 81.243
WSB/EiJ m 87.3467 6.0745 99.3954 75.298




  GWAS USING LINEAR MIXED MODELS