Project measure / variable:   Wiltshire4   Tcells_Sel_C


  STRAIN COMPARISON PLOT
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Wiltshire4 - T cells, percent viability dose: 1.235 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means100   %
Median of the strain means100.0   %
SD of the strain means± 3.07
Coefficient of variation (CV)0.0307
Min–max range of strain means95.3   –   113   %
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 1164.4485 35.2863 3.1862 < 0.0001
Residuals 99 1096.398 11.0747


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 1.95   4 0.973 0.0187 102.0, 106.0 1.24
129X1/SvJ m 102.0 5.1   4 2.55 0.0502 95.8, 108.0 0.59
A/J m 100.0 2.0   4 0.999 0.0199 97.2, 102.0 -0.06
AKR/J m 101.0 1.0   4 0.5 0.00995 99.0, 101.0 0.27
BALB/cByJ m 100.0 1.16   4 0.582 0.0116 98.7, 101.0 -0.06
BTBR T+ Itpr3tf/J m 97.3 1.64   4 0.822 0.0169 95.7, 98.9 -0.94
BUB/BnJ m 98.5 1.82   4 0.909 0.0184 96.2, 100.0 -0.55
C3H/HeJ m 99.1 0.392   4 0.196 0.00396 98.6, 99.5 -0.35
C57BL/6J m 99.9 0.723   4 0.362 0.00724 99.1, 101.0 -0.09
C57BLKS/J m 98.4 1.25   4 0.627 0.0127 96.8, 99.7 -0.58
C58/J m 96.0 0.0   2   0.0 0.0 96.0, 96.0 -1.36
CBA/J m 97.7 2.79   4 1.39 0.0286 95.2, 101.0 -0.81
CZECHII/EiJ m 101.0 7.26   4 3.63 0.0715 91.6, 107.0 0.27
DBA/2J m 99.5 4.89   4 2.44 0.0491 93.3, 105.0 -0.22
FVB/NJ m 100.0 0.395   4 0.198 0.00394 99.9, 101.0 -0.06
I/LnJ m 102.0 0.849   4 0.425 0.00837 100.0, 102.0 0.59
KK/HlJ m 99.3 1.55   4 0.774 0.0156 97.5, 101.0 -0.29
LG/J m 113.0 6.11   4 3.06 0.0543 105.0, 120.0 4.18
LP/J m 99.9 0.368   4 0.184 0.00368 99.5, 100.0 -0.09
MA/MyJ m 99.1 0.784   4 0.392 0.00791 98.2, 100.0 -0.35
NOD/ShiLtJ m 101.0 2.39   4 1.19 0.0236 97.7, 103.0 0.27
NON/ShiLtJ m 98.5 5.37   4 2.69 0.0545 91.0, 104.0 -0.55
NZB/BlNJ m 100.0 0.504   4 0.252 0.00503 99.8, 101.0 -0.06
NZO/HlLtJ m 96.6 4.29   4 2.14 0.0444 92.7, 102.0 -1.16
NZW/LacJ m 95.3 2.42   4 1.21 0.0253 92.0, 97.6 -1.59
PERA/EiJ m 98.9 3.1   4 1.55 0.0313 94.4, 101.0 -0.42
PL/J m 99.5 2.5   4 1.25 0.0252 97.0, 102.0 -0.22
PWD/PhJ m 100.0 1.92   4 0.962 0.0192 98.4, 103.0 -0.06
PWK/PhJ m 101.0 4.43   4 2.22 0.044 94.9, 106.0 0.27
RIIIS/J m 103.0 3.34   4 1.67 0.0324 100.0, 108.0 0.92
SEA/GnJ m 101.0 0.876   4 0.438 0.00863 100.0, 102.0 0.27
SJL/J m 105.0 2.58   4 1.29 0.0246 101.0, 107.0 1.57
SM/J m 101.0 2.18   4 1.09 0.0216 97.9, 103.0 0.27
WSB/EiJ m 97.5 10.5   3 6.07 0.108 86.8, 108.0 -0.87


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 104.22 1.6639 107.5216 100.9184
129X1/SvJ m 101.63 1.6639 104.9316 98.3284
A/J m 100.16 1.6639 103.4616 96.8584
AKR/J m 100.5325 1.6639 103.8341 97.2309
BALB/cByJ m 100.4325 1.6639 103.7341 97.1309
BTBR T+ Itpr3tf/J m 97.345 1.6639 100.6466 94.0434
BUB/BnJ m 98.53 1.6639 101.8316 95.2284
C3H/HeJ m 99.1175 1.6639 102.4191 95.8159
C57BL/6J m 99.8975 1.6639 103.1991 96.5959
C57BLKS/J m 98.355 1.6639 101.6566 95.0534
C58/J m 95.98 2.3532 100.6492 91.3108
CBA/J m 97.705 1.6639 101.0066 94.4034
CZECHII/EiJ m 101.43 1.6639 104.7316 98.1284
DBA/2J m 99.5025 1.6639 102.8041 96.2009
FVB/NJ m 100.23 1.6639 103.5316 96.9284
I/LnJ m 101.51 1.6639 104.8116 98.2084
KK/HlJ m 99.26 1.6639 102.5616 95.9584
LG/J m 112.6175 1.6639 115.9191 109.3159
LP/J m 99.895 1.6639 103.1966 96.5934
MA/MyJ m 99.0625 1.6639 102.3641 95.7609
NOD/ShiLtJ m 101.0525 1.6639 104.3541 97.7509
NON/ShiLtJ m 98.55 1.6639 101.8516 95.2484
NZB/BlNJ m 100.1775 1.6639 103.4791 96.8759
NZO/HlLtJ m 96.5825 1.6639 99.8841 93.2809
NZW/LacJ m 95.35 1.6639 98.6516 92.0484
PERA/EiJ m 98.9175 1.6639 102.2191 95.6159
PL/J m 99.515 1.6639 102.8166 96.2134
PWD/PhJ m 100.0 1.6639 103.3016 96.6984
PWK/PhJ m 100.87 1.6639 104.1716 97.5684
RIIIS/J m 103.1475 1.6639 106.4491 99.8459
SEA/GnJ m 101.4525 1.6639 104.7541 98.1509
SJL/J m 105.025 1.6639 108.3266 101.7234
SM/J m 100.94 1.6639 104.2416 97.6384
WSB/EiJ m 97.55 1.9213 101.3624 93.7376




  GWAS USING LINEAR MIXED MODELS