Project measure / variable:   Wiltshire4   Tcells_Sel_E


  STRAIN COMPARISON PLOT
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Wiltshire4 - T cells, percent viability dose: 100 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means99.5   %
Median of the strain means99.7   %
SD of the strain means± 3.57
Coefficient of variation (CV)0.0359
Min–max range of strain means92.8   –   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 1627.8387 49.3284 3.3653 < 0.0001
Residuals 99 1451.1194 14.6578


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 104.0 0.668   4 0.334 0.00642 103.0, 105.0 1.25
129X1/SvJ m 97.6 7.92   4 3.96 0.0812 88.8, 108.0 -0.54
A/J m 99.8 2.86   4 1.43 0.0286 97.0, 103.0 0.08
AKR/J m 101.0 0.726   4 0.363 0.00722 99.5, 101.0 0.41
BALB/cByJ m 100.0 0.564   4 0.282 0.00564 99.4, 101.0 0.13
BTBR T+ Itpr3tf/J m 94.7 3.16   4 1.58 0.0333 91.6, 97.8 -1.35
BUB/BnJ m 98.3 2.83   4 1.41 0.0287 95.7, 102.0 -0.34
C3H/HeJ m 98.6 1.11   4 0.554 0.0112 96.9, 99.4 -0.26
C57BL/6J m 99.5 0.478   4 0.239 0.0048 98.9, 100.0 -0.01
C57BLKS/J m 97.7 1.98   4 0.99 0.0203 96.1, 100.0 -0.51
C58/J m 97.9 1.46   2   1.03 0.0149 96.8, 98.9 -0.46
CBA/J m 98.1 4.01   4 2.01 0.0409 95.1, 104.0 -0.4
CZECHII/EiJ m 97.3 3.58   4 1.79 0.0368 93.6, 102.0 -0.62
DBA/2J m 93.1 6.49   4 3.24 0.0697 85.7, 101.0 -1.8
FVB/NJ m 101.0 0.421   4 0.21 0.00417 100.0, 101.0 0.41
I/LnJ m 100.0 1.77   4 0.883 0.0177 98.0, 102.0 0.13
KK/HlJ m 96.9 2.14   4 1.07 0.0221 94.6, 99.2 -0.74
LG/J m 112.0 7.8   4 3.9 0.0697 104.0, 120.0 3.5
LP/J m 101.0 0.489   4 0.244 0.00486 100.0, 101.0 0.41
MA/MyJ m 95.0 1.34   4 0.669 0.0141 93.1, 96.1 -1.27
NOD/ShiLtJ m 100.0 2.1   4 1.05 0.0209 98.0, 103.0 0.13
NON/ShiLtJ m 99.2 3.72   4 1.86 0.0375 94.2, 102.0 -0.09
NZB/BlNJ m 100.0 0.455   4 0.228 0.00455 99.8, 101.0 0.13
NZO/HlLtJ m 92.8 6.83   4 3.42 0.0736 87.6, 103.0 -1.89
NZW/LacJ m 96.8 2.61   4 1.31 0.027 93.7, 99.4 -0.76
PERA/EiJ m 103.0 4.87   4 2.44 0.0474 97.4, 109.0 0.97
PL/J m 101.0 1.08   4 0.538 0.0107 99.5, 102.0 0.41
PWD/PhJ m 103.0 5.52   4 2.76 0.0538 96.5, 110.0 0.97
PWK/PhJ m 103.0 4.98   4 2.49 0.0484 96.0, 108.0 0.97
RIIIS/J m 103.0 5.44   4 2.72 0.0528 95.9, 107.0 0.97
SEA/GnJ m 96.7 0.901   4 0.451 0.00932 95.7, 97.8 -0.79
SJL/J m 97.9 1.17   4 0.586 0.012 96.9, 99.5 -0.46
SM/J m 102.0 0.715   4 0.357 0.00703 101.0, 102.0 0.69
WSB/EiJ m 102.0 9.59   3 5.53 0.0941 92.7, 112.0 0.69


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 103.98 1.9143 107.7783 100.1817
129X1/SvJ m 97.6125 1.9143 101.4108 93.8142
A/J m 99.7875 1.9143 103.5858 95.9892
AKR/J m 100.5325 1.9143 104.3308 96.7342
BALB/cByJ m 99.975 1.9143 103.7733 96.1767
BTBR T+ Itpr3tf/J m 94.74 1.9143 98.5383 90.9417
BUB/BnJ m 98.325 1.9143 102.1233 94.5267
C3H/HeJ m 98.5825 1.9143 102.3808 94.7842
C57BL/6J m 99.5425 1.9143 103.3408 95.7442
C57BLKS/J m 97.705 1.9143 101.5033 93.9067
C58/J m 97.88 2.7072 103.2517 92.5083
CBA/J m 98.0575 1.9143 101.8558 94.2592
CZECHII/EiJ m 97.2925 1.9143 101.0908 93.4942
DBA/2J m 93.07 1.9143 96.8683 89.2717
FVB/NJ m 101.0175 1.9143 104.8158 97.2192
I/LnJ m 100.025 1.9143 103.8233 96.2267
KK/HlJ m 96.935 1.9143 100.7333 93.1367
LG/J m 111.9125 1.9143 115.7108 108.1142
LP/J m 100.65 1.9143 104.4483 96.8517
MA/MyJ m 95.04 1.9143 98.8383 91.2417
NOD/ShiLtJ m 100.495 1.9143 104.2933 96.6967
NON/ShiLtJ m 99.2075 1.9143 103.0058 95.4092
NZB/BlNJ m 99.9775 1.9143 103.7758 96.1792
NZO/HlLtJ m 92.8075 1.9143 96.6058 89.0092
NZW/LacJ m 96.83 1.9143 100.6283 93.0317
PERA/EiJ m 102.74 1.9143 106.5383 98.9417
PL/J m 101.025 1.9143 104.8233 97.2267
PWD/PhJ m 102.7375 1.9143 106.5358 98.9392
PWK/PhJ m 102.7925 1.9143 106.5908 98.9942
RIIIS/J m 103.0625 1.9143 106.8608 99.2642
SEA/GnJ m 96.67 1.9143 100.4683 92.8717
SJL/J m 97.86 1.9143 101.6583 94.0617
SM/J m 101.6675 1.9143 105.4658 97.8692
WSB/EiJ m 101.9067 2.2104 106.2926 97.5207




  GWAS USING LINEAR MIXED MODELS