Project measure / variable:   Wiltshire4   Tcells_BEZ_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 means99.2   %
Median of the strain means99.3   %
SD of the strain means± 2.40
Coefficient of variation (CV)0.0241
Min–max range of strain means92.5   –   107   %
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 33 741.93 22.4827 1.4017 0.1034
Residuals 99 1587.9025 16.0394


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 107.0 2.44   4 1.22 0.0228 104.0, 109.0 3.24
129X1/SvJ m 99.3 5.1   4 2.55 0.0513 95.3, 107.0 0.02
A/J m 99.9 1.08   4 0.542 0.0108 98.7, 101.0 0.27
AKR/J m 100.0 0.05   4 0.025 0.0005 100.0, 100.0 0.31
BALB/cByJ m 99.5 0.823   4 0.411 0.00827 98.4, 100.0 0.11
BTBR T+ Itpr3tf/J m 101.0 2.0   4 1.0 0.0198 98.7, 103.0 0.73
BUB/BnJ m 100.0 1.05   4 0.525 0.0105 99.6, 102.0 0.31
C3H/HeJ m 99.3 1.11   4 0.554 0.0112 98.0, 100.0 0.02
C57BL/6J m 100.0 0.709   4 0.354 0.00709 99.1, 101.0 0.31
C57BLKS/J m 104.0 10.4   4 5.19 0.1 96.5, 119.0 1.98
C58/J m 97.5 3.73   2   2.64 0.0382 94.8, 100.0 -0.73
CBA/J m 99.6 3.01   4 1.51 0.0302 97.0, 103.0 0.15
CZECHII/EiJ m 101.0 1.03   4 0.515 0.0102 99.6, 102.0 0.73
DBA/2J m 99.2 0.966   4 0.483 0.00973 98.5, 101.0 -0.02
FVB/NJ m 99.0 1.18   4 0.589 0.0119 98.0, 100.0 -0.1
I/LnJ m 98.7 1.3   4 0.651 0.0132 96.8, 99.8 -0.23
KK/HlJ m 92.5 4.61   4 2.3 0.0498 88.3, 98.6 -2.82
LG/J m 99.5 8.43   4 4.22 0.0847 90.7, 111.0 0.11
LP/J m 101.0 1.71   4 0.853 0.017 98.7, 103.0 0.73
MA/MyJ m 99.4 1.41   4 0.706 0.0142 97.3, 100.0 0.06
NOD/ShiLtJ m 100.0 4.49   4 2.25 0.0448 95.0, 106.0 0.31
NON/ShiLtJ m 98.8 4.35   4 2.17 0.044 94.3, 104.0 -0.19
NZB/BlNJ m 99.1 1.11   4 0.555 0.0112 97.5, 100.0 -0.06
NZO/HlLtJ m 98.4 3.41   4 1.71 0.0346 94.2, 102.0 -0.35
NZW/LacJ m 95.7 2.41   4 1.2 0.0251 93.5, 98.8 -1.48
PERA/EiJ m 97.4 8.84   4 4.42 0.0908 89.2, 110.0 -0.77
PL/J m 100.0 0.851   4 0.425 0.00847 99.5, 101.0 0.31
PWD/PhJ m 96.9 1.42   4 0.712 0.0147 95.2, 98.6 -0.98
PWK/PhJ m 98.0 5.49   4 2.74 0.056 91.7, 104.0 -0.52
RIIIS/J m 95.5 2.45   4 1.22 0.0256 91.9, 97.5 -1.56
SEA/GnJ m 98.7 1.13   4 0.564 0.0114 97.2, 99.8 -0.23
SJL/J m 97.5 4.13   4 2.06 0.0424 93.0, 102.0 -0.73
SM/J m 100.0 1.78   4 0.892 0.0178 97.8, 102.0 0.31
WSB/EiJ m 101.0 10.1   3 5.86 0.1 90.5, 111.0 0.73


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 107.0175 2.0025 110.9908 103.0442
129X1/SvJ m 99.3275 2.0025 103.3008 95.3542
A/J m 99.9175 2.0025 103.8908 95.9442
AKR/J m 99.975 2.0025 103.9483 96.0017
BALB/cByJ m 99.5375 2.0025 103.5108 95.5642
BTBR T+ Itpr3tf/J m 101.01 2.0025 104.9833 97.0367
BUB/BnJ m 100.3875 2.0025 104.3608 96.4142
C3H/HeJ m 99.265 2.0025 103.2383 95.2917
C57BL/6J m 100.0275 2.0025 104.0008 96.0542
C57BLKS/J m 103.5675 2.0025 107.5408 99.5942
C58/J m 97.475 2.8319 103.0941 91.8559
CBA/J m 99.615 2.0025 103.5883 95.6417
CZECHII/EiJ m 100.6175 2.0025 104.5908 96.6442
DBA/2J m 99.2275 2.0025 103.2008 95.2542
FVB/NJ m 98.9525 2.0025 102.9258 94.9792
I/LnJ m 98.71 2.0025 102.6833 94.7367
KK/HlJ m 92.45 2.0025 96.4233 88.4767
LG/J m 99.5075 2.0025 103.4808 95.5342
LP/J m 100.6125 2.0025 104.5858 96.6392
MA/MyJ m 99.425 2.0025 103.3983 95.4517
NOD/ShiLtJ m 100.3 2.0025 104.2733 96.3267
NON/ShiLtJ m 98.79 2.0025 102.7633 94.8167
NZB/BlNJ m 99.095 2.0025 103.0683 95.1217
NZO/HlLtJ m 98.4375 2.0025 102.4108 94.4642
NZW/LacJ m 95.7475 2.0025 99.7208 91.7742
PERA/EiJ m 97.3675 2.0025 101.3408 93.3942
PL/J m 100.4375 2.0025 104.4108 96.4642
PWD/PhJ m 96.8525 2.0025 100.8258 92.8792
PWK/PhJ m 97.955 2.0025 101.9283 93.9817
RIIIS/J m 95.4725 2.0025 99.4458 91.4992
SEA/GnJ m 98.75 2.0025 102.7233 94.7767
SJL/J m 97.4575 2.0025 101.4308 93.4842
SM/J m 99.9975 2.0025 103.9708 96.0242
WSB/EiJ m 101.37 2.3122 105.958 96.782




  GWAS USING LINEAR MIXED MODELS