Project measure / variable:   Wiltshire4   Tcells_BEZ_D


  STRAIN COMPARISON PLOT
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Wiltshire4 - T cells, percent viability dose: 11.1 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means98.3   %
Median of the strain means97.8   %
SD of the strain means± 4.82
Coefficient of variation (CV)0.0491
Min–max range of strain means90.0   –   117   %
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 33 2768.3456 83.8893 3.2232 < 0.0001
Residuals 99 2576.6802 26.0271


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 105.0 3.64   4 1.82 0.0347 99.9, 108.0 1.39
129X1/SvJ m 97.9 5.74   4 2.87 0.0587 91.1, 105.0 -0.08
A/J m 99.3 2.02   4 1.01 0.0203 97.1, 102.0 0.21
AKR/J m 99.3 0.87   4 0.435 0.00876 98.1, 100.0 0.21
BALB/cByJ m 98.3 1.59   4 0.796 0.0162 96.8, 100.0 0.0
BTBR T+ Itpr3tf/J m 99.1 2.1   4 1.05 0.0212 96.6, 101.0 0.16
BUB/BnJ m 97.6 2.77   4 1.38 0.0284 94.5, 101.0 -0.15
C3H/HeJ m 97.3 0.739   4 0.37 0.0076 96.5, 98.2 -0.21
C57BL/6J m 94.9 7.17   4 3.59 0.0756 84.2, 99.1 -0.71
C57BLKS/J m 101.0 5.3   4 2.65 0.0523 95.7, 108.0 0.56
C58/J m 99.9 0.544   2   0.385 0.00545 99.6, 100.0 0.33
CBA/J m 104.0 3.09   4 1.54 0.0298 100.0, 107.0 1.18
CZECHII/EiJ m 97.0 9.49   4 4.75 0.0978 83.7, 104.0 -0.27
DBA/2J m 98.0 2.49   4 1.24 0.0254 94.4, 100.0 -0.06
FVB/NJ m 99.1 1.55   4 0.777 0.0157 97.1, 100.0 0.16
I/LnJ m 97.4 2.03   4 1.02 0.0209 95.1, 99.8 -0.19
KK/HlJ m 96.4 3.83   4 1.91 0.0397 91.2, 100.0 -0.4
LG/J m 107.0 9.32   4 4.66 0.0871 95.6, 115.0 1.8
LP/J m 93.3 5.55   4 2.77 0.0594 86.5, 100.0 -1.04
MA/MyJ m 98.4 1.46   4 0.731 0.0149 96.8, 100.0 0.02
NOD/ShiLtJ m 102.0 4.46   4 2.23 0.0435 98.1, 109.0 0.77
NON/ShiLtJ m 90.0 3.55   4 1.78 0.0395 85.8, 94.5 -1.72
NZB/BlNJ m 98.4 0.573   4 0.286 0.00582 97.5, 98.7 0.02
NZO/HlLtJ m 95.6 3.46   4 1.73 0.0362 91.5, 100.0 -0.56
NZW/LacJ m 96.3 1.84   4 0.921 0.0191 94.4, 98.4 -0.42
PERA/EiJ m 98.5 8.81   4 4.41 0.0895 90.2, 109.0 0.04
PL/J m 97.5 4.14   4 2.07 0.0425 91.8, 102.0 -0.17
PWD/PhJ m 94.6 1.46   4 0.732 0.0155 92.6, 96.0 -0.77
PWK/PhJ m 90.8 14.7   4 7.34 0.162 69.8, 103.0 -1.56
RIIIS/J m 96.1 7.18   4 3.59 0.0747 89.4, 104.0 -0.46
SEA/GnJ m 94.3 1.2   4 0.598 0.0127 93.0, 95.7 -0.83
SJL/J m 97.4 5.5   4 2.75 0.0564 92.3, 105.0 -0.19
SM/J m 93.7 3.9   4 1.95 0.0417 88.6, 98.0 -0.95
WSB/EiJ m 117.0 3.27   3 1.89 0.0278 115.0, 121.0 3.88


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 104.8075 2.5508 109.8689 99.7461
129X1/SvJ m 97.875 2.5508 102.9364 92.8136
A/J m 99.3375 2.5508 104.3989 94.2761
AKR/J m 99.3225 2.5508 104.3839 94.2611
BALB/cByJ m 98.2825 2.5508 103.3439 93.2211
BTBR T+ Itpr3tf/J m 99.07 2.5508 104.1314 94.0086
BUB/BnJ m 97.5975 2.5508 102.6589 92.5361
C3H/HeJ m 97.3475 2.5508 102.4089 92.2861
C57BL/6J m 94.8775 2.5508 99.9389 89.8161
C57BLKS/J m 101.3375 2.5508 106.3989 96.2761
C58/J m 99.945 3.6074 107.1029 92.7871
CBA/J m 103.7525 2.5508 108.8139 98.6911
CZECHII/EiJ m 97.035 2.5508 102.0964 91.9736
DBA/2J m 97.9625 2.5508 103.0239 92.9011
FVB/NJ m 99.1 2.5508 104.1614 94.0386
I/LnJ m 97.3875 2.5508 102.4489 92.3261
KK/HlJ m 96.3675 2.5508 101.4289 91.3061
LG/J m 106.9625 2.5508 112.0239 101.9011
LP/J m 93.3325 2.5508 98.3939 88.2711
MA/MyJ m 98.365 2.5508 103.4264 93.3036
NOD/ShiLtJ m 102.4275 2.5508 107.4889 97.3661
NON/ShiLtJ m 89.9625 2.5508 95.0239 84.9011
NZB/BlNJ m 98.3625 2.5508 103.4239 93.3011
NZO/HlLtJ m 95.5675 2.5508 100.6289 90.5061
NZW/LacJ m 96.29 2.5508 101.3514 91.2286
PERA/EiJ m 98.4625 2.5508 103.5239 93.4011
PL/J m 97.46 2.5508 102.5214 92.3986
PWD/PhJ m 94.565 2.5508 99.6264 89.5036
PWK/PhJ m 90.7575 2.5508 95.8189 85.6961
RIIIS/J m 96.0775 2.5508 101.1389 91.0161
SEA/GnJ m 94.325 2.5508 99.3864 89.2636
SJL/J m 97.4 2.5508 102.4614 92.3386
SM/J m 93.74 2.5508 98.8014 88.6786
WSB/EiJ m 117.4667 2.9455 123.3111 111.6222




  GWAS USING LINEAR MIXED MODELS