Project measure / variable:   Wiltshire4   Tcells_Sel_A


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



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means100   %
Median of the strain means100   %
SD of the strain means± 3.02
Coefficient of variation (CV)0.0302
Min–max range of strain means94.2   –   112   %
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 1175.3626 35.617 2.4072 0.0005
Residuals 99 1464.8074 14.796


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 m 103.0 1.63   4 0.815 0.0159 101.0, 105.0 0.96
129X1/SvJ m 101.0 4.22   4 2.11 0.0417 97.4, 107.0 0.29
A/J m 101.0 3.66   4 1.83 0.0362 97.7, 106.0 0.29
AKR/J m 100.0 1.37   4 0.686 0.0137 98.1, 101.0 -0.04
BALB/cByJ m 99.5 0.416   4 0.208 0.00418 99.0, 100.0 -0.2
BTBR T+ Itpr3tf/J m 99.5 0.918   4 0.459 0.00923 98.2, 100.0 -0.2
BUB/BnJ m 99.3 1.22   4 0.611 0.0123 97.9, 101.0 -0.27
C3H/HeJ m 99.2 0.553   4 0.276 0.00557 98.6, 99.9 -0.3
C57BL/6J m 100.0 0.829   4 0.414 0.00825 99.2, 101.0 -0.04
C57BLKS/J m 96.7 6.22   4 3.11 0.0644 88.8, 102.0 -1.13
C58/J m 96.9 3.46   2   2.44 0.0357 94.5, 99.3 -1.06
CBA/J m 99.2 3.93   4 1.96 0.0396 95.6, 103.0 -0.3
CZECHII/EiJ m 100.0 7.62   4 3.81 0.0759 91.5, 108.0 -0.04
DBA/2J m 97.5 3.56   4 1.78 0.0365 94.6, 103.0 -0.86
FVB/NJ m 100.0 0.615   4 0.308 0.00616 99.6, 101.0 -0.04
I/LnJ m 101.0 0.673   4 0.337 0.00666 100.0, 102.0 0.29
KK/HlJ m 94.2 7.45   4 3.72 0.0791 85.2, 101.0 -1.96
LG/J m 112.0 4.84   4 2.42 0.0433 108.0, 118.0 3.94
LP/J m 100.0 1.08   4 0.539 0.0108 98.8, 101.0 -0.04
MA/MyJ m 99.9 1.11   4 0.554 0.0111 98.3, 101.0 -0.07
NOD/ShiLtJ m 100.0 5.58   4 2.79 0.0555 96.3, 109.0 -0.04
NON/ShiLtJ m 103.0 2.91   4 1.45 0.0281 99.5, 106.0 0.96
NZB/BlNJ m 100.0 1.66   4 0.832 0.0166 97.6, 101.0 -0.04
NZO/HlLtJ m 96.6 3.38   4 1.69 0.035 92.7, 99.9 -1.16
NZW/LacJ m 96.0 3.32   4 1.66 0.0346 92.2, 100.0 -1.36
PERA/EiJ m 96.5 5.93   4 2.96 0.0614 88.9, 103.0 -1.19
PL/J m 101.0 0.967   4 0.484 0.00955 100.0, 102.0 0.29
PWD/PhJ m 100.0 1.71   4 0.853 0.017 97.8, 102.0 -0.04
PWK/PhJ m 102.0 5.72   4 2.86 0.056 94.4, 107.0 0.63
RIIIS/J m 100.0 3.95   4 1.98 0.0394 95.5, 104.0 -0.04
SEA/GnJ m 99.7 0.724   4 0.362 0.00726 98.8, 101.0 -0.14
SJL/J m 104.0 2.29   4 1.14 0.0219 101.0, 106.0 1.29
SM/J m 102.0 3.74   4 1.87 0.0368 96.0, 104.0 0.63
WSB/EiJ m 103.0 9.97   3 5.76 0.0966 97.3, 115.0 0.96


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 102.6625 1.9233 106.4787 98.8463
129X1/SvJ m 101.275 1.9233 105.0912 97.4588
A/J m 100.855 1.9233 104.6712 97.0388
AKR/J m 100.175 1.9233 103.9912 96.3588
BALB/cByJ m 99.54 1.9233 103.3562 95.7238
BTBR T+ Itpr3tf/J m 99.52 1.9233 103.3362 95.7038
BUB/BnJ m 99.3325 1.9233 103.1487 95.5163
C3H/HeJ m 99.165 1.9233 102.9812 95.3488
C57BL/6J m 100.4575 1.9233 104.2737 96.6413
C57BLKS/J m 96.6775 1.9233 100.4937 92.8613
C58/J m 96.905 2.7199 102.3019 91.5081
CBA/J m 99.18 1.9233 102.9962 95.3638
CZECHII/EiJ m 100.3575 1.9233 104.1737 96.5413
DBA/2J m 97.55 1.9233 101.3662 93.7338
FVB/NJ m 99.975 1.9233 103.7912 96.1588
I/LnJ m 101.025 1.9233 104.8412 97.2088
KK/HlJ m 94.1825 1.9233 97.9987 90.3663
LG/J m 111.82 1.9233 115.6362 108.0038
LP/J m 100.025 1.9233 103.8412 96.2088
MA/MyJ m 99.95 1.9233 103.7662 96.1338
NOD/ShiLtJ m 100.4675 1.9233 104.2837 96.6513
NON/ShiLtJ m 103.28 1.9233 107.0962 99.4638
NZB/BlNJ m 100.075 1.9233 103.8912 96.2588
NZO/HlLtJ m 96.61 1.9233 100.4262 92.7938
NZW/LacJ m 95.965 1.9233 99.7812 92.1488
PERA/EiJ m 96.55 1.9233 100.3662 92.7338
PL/J m 101.305 1.9233 105.1212 97.4888
PWD/PhJ m 100.355 1.9233 104.1712 96.5388
PWK/PhJ m 102.145 1.9233 105.9612 98.3288
RIIIS/J m 100.4325 1.9233 104.2487 96.6163
SEA/GnJ m 99.71 1.9233 103.5262 95.8938
SJL/J m 104.4225 1.9233 108.2387 100.6063
SM/J m 101.565 1.9233 105.3812 97.7488
WSB/EiJ m 103.19 2.2208 107.5966 98.7834




  GWAS USING LINEAR MIXED MODELS