Project measure / variable:   Wiltshire4   Bcells_Dox_ctrl


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability control



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested35 strains
Mean of the strain means100   %
Median of the strain means100   %
SD of the strain means± 0
Coefficient of variation (CV)0
Min–max range of strain means100   –   100   %
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 34 0.0003 0.0 0.0 1.0
Residuals 102 53240.3857 521.9646


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 100.0 35.8   4 17.9 0.358 57.7, 145.0 0.0
129X1/SvJ m 100.0 5.44   4 2.72 0.0544 95.4, 106.0 0.0
A/J m 100.0 17.4   4 8.7 0.174 78.7, 121.0 0.0
AKR/J m 100.0 3.12   4 1.56 0.0312 96.4, 104.0 0.0
BALB/cByJ m 100.0 8.18   4 4.09 0.0818 88.9, 106.0 0.0
BTBR T+ Itpr3tf/J m 100.0 7.59   4 3.79 0.0759 92.6, 109.0 0.0
C3H/HeJ m 100.0 3.14   4 1.57 0.0314 95.5, 102.0 0.0
C57BL/6J m 100.0 7.72   4 3.86 0.0772 94.1, 111.0 0.0
C57BLKS/J m 100.0 23.8   4 11.9 0.238 72.9, 122.0 0.0
C57BR/cdJ m 100.0 15.8   4 7.88 0.158 84.7, 122.0 0.0
C58/J m 100.0 5.84   2   4.13 0.0584 95.9, 104.0 0.0
CBA/J m 100.0 24.3   4 12.1 0.243 73.4, 132.0 0.0
CZECHII/EiJ m 100.0 36.4   4 18.2 0.364 62.5, 144.0 0.0
DBA/2J m 100.0 27.4   4 13.7 0.274 70.2, 135.0 0.0
FVB/NJ m 100.0 15.7   4 7.83 0.157 87.1, 121.0 0.0
I/LnJ m 100.0 22.5   4 11.3 0.225 73.5, 124.0 0.0
KK/HlJ m 100.0 1.13   4 0.567 0.0113 98.3, 101.0 0.0
LG/J m 100.0 33.6   4 16.8 0.336 63.5, 141.0 0.0
LP/J m 100.0 7.08   4 3.54 0.0708 90.2, 107.0 0.0
MA/MyJ m 100.0 0.416   4 0.208 0.00416 99.5, 101.0 0.0
NOD/ShiLtJ m 100.0 12.5   4 6.26 0.125 86.8, 117.0 0.0
NON/ShiLtJ m 100.0 26.9   4 13.5 0.269 65.5, 129.0 0.0
NZB/BlNJ m 100.0 5.65   4 2.83 0.0565 93.6, 106.0 0.0
NZO/HlLtJ m 100.0 19.5   4 9.74 0.195 78.1, 125.0 0.0
NZW/LacJ m 100.0 19.1   4 9.53 0.191 77.0, 119.0 0.0
PERA/EiJ m 100.0 19.6   4 9.8 0.196 73.4, 121.0 0.0
PL/J m 100.0 2.93   4 1.46 0.0293 95.7, 102.0 0.0
PWD/PhJ m 100.0 11.5   4 5.73 0.115 91.9, 117.0 0.0
PWK/PhJ m 100.0 1.57   4 0.787 0.0157 97.7, 101.0 0.0
RIIIS/J m 100.0 48.4   4 24.2 0.484 60.0, 168.0 0.0
SEA/GnJ m 100.0 7.88   4 3.94 0.0788 94.0, 111.0 0.0
SJL/J m 100.0 48.9   4 24.4 0.489 57.1, 152.0 0.0
SM/J m 100.0 14.9   4 7.46 0.149 81.4, 115.0 0.0
SWR/J m 100.0 51.1   4 25.6 0.511 37.0, 162.0 0.0
WSB/EiJ m 100.0 32.3   3 18.7 0.323 63.1, 123.0 0.0


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 100.0 11.4233 122.658 77.342
129X1/SvJ m 100.0 11.4233 122.658 77.342
A/J m 100.0 11.4233 122.658 77.342
AKR/J m 100.0 11.4233 122.658 77.342
BALB/cByJ m 99.9975 11.4233 122.6555 77.3395
BTBR T+ Itpr3tf/J m 99.9975 11.4233 122.6555 77.3395
C3H/HeJ m 100.0 11.4233 122.658 77.342
C57BL/6J m 100.0 11.4233 122.658 77.342
C57BLKS/J m 100.0 11.4233 122.658 77.342
C57BR/cdJ m 100.0 11.4233 122.658 77.342
C58/J m 100.0 16.1549 132.0433 67.9567
CBA/J m 100.0025 11.4233 122.6605 77.3445
CZECHII/EiJ m 100.0 11.4233 122.658 77.342
DBA/2J m 100.0 11.4233 122.658 77.342
FVB/NJ m 100.0 11.4233 122.658 77.342
I/LnJ m 100.0 11.4233 122.658 77.342
KK/HlJ m 99.9975 11.4233 122.6555 77.3395
LG/J m 100.0 11.4233 122.658 77.342
LP/J m 100.0 11.4233 122.658 77.342
MA/MyJ m 100.0 11.4233 122.658 77.342
NOD/ShiLtJ m 99.9975 11.4233 122.6555 77.3395
NON/ShiLtJ m 100.0 11.4233 122.658 77.342
NZB/BlNJ m 100.0025 11.4233 122.6605 77.3445
NZO/HlLtJ m 100.0025 11.4233 122.6605 77.3445
NZW/LacJ m 99.9975 11.4233 122.6555 77.3395
PERA/EiJ m 100.0 11.4233 122.658 77.342
PL/J m 100.0 11.4233 122.658 77.342
PWD/PhJ m 100.0 11.4233 122.658 77.342
PWK/PhJ m 100.0 11.4233 122.658 77.342
RIIIS/J m 100.0025 11.4233 122.6605 77.3445
SEA/GnJ m 100.0025 11.4233 122.6605 77.3445
SJL/J m 100.0025 11.4233 122.6605 77.3445
SM/J m 100.0 11.4233 122.658 77.342
SWR/J m 100.0025 11.4233 122.6605 77.3445
WSB/EiJ m 100.0 13.1905 126.1632 73.8368




  GWAS USING LINEAR MIXED MODELS