Project measure / variable:   Wiltshire4   Bcells_Ida_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 0.0004 0.0 0.0 1.0
Residuals 102 51450.9871 504.4214


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 37.4   4 18.7 0.374 59.2, 144.0 0.0
129X1/SvJ m 100.0 10.6   4 5.3 0.106 90.9, 113.0 0.0
A/J m 100.0 5.18   4 2.59 0.0518 96.5, 108.0 0.0
AKR/J m 100.0 14.5   4 7.26 0.145 78.9, 112.0 0.0
BALB/cByJ m 100.0 7.09   4 3.55 0.0709 89.8, 105.0 0.0
BTBR T+ Itpr3tf/J m 100.0 36.6   4 18.3 0.366 55.6, 137.0 0.0
C3H/HeJ m 100.0 2.77   4 1.38 0.0277 96.2, 103.0 0.0
C57BL/6J m 100.0 2.47   4 1.24 0.0247 96.9, 102.0 0.0
C57BLKS/J m 100.0 25.7   4 12.9 0.257 73.0, 133.0 0.0
C57BR/cdJ m 100.0 8.92   4 4.46 0.0892 89.6, 111.0 0.0
C58/J m 100.0 17.8   2   12.6 0.178 87.4, 113.0 0.0
CBA/J m 100.0 13.5   4 6.73 0.135 80.0, 109.0 0.0
CZECHII/EiJ m 100.0 17.1   4 8.56 0.171 85.5, 124.0 0.0
DBA/2J m 100.0 16.3   4 8.15 0.163 77.7, 114.0 0.0
FVB/NJ m 100.0 8.21   4 4.11 0.0821 87.9, 106.0 0.0
I/LnJ m 100.0 26.8   4 13.4 0.268 65.5, 125.0 0.0
KK/HlJ m 100.0 11.4   4 5.72 0.114 84.6, 112.0 0.0
LG/J m 100.0 22.5   4 11.2 0.225 76.9, 131.0 0.0
LP/J m 100.0 9.82   4 4.91 0.0982 90.8, 113.0 0.0
MA/MyJ m 100.0 0.786   4 0.393 0.00786 99.3, 101.0 0.0
NOD/ShiLtJ m 100.0 14.0   4 6.98 0.14 87.8, 119.0 0.0
NON/ShiLtJ m 100.0 34.5   4 17.2 0.345 63.3, 139.0 0.0
NZB/BlNJ m 100.0 1.8   4 0.9 0.018 97.4, 102.0 0.0
NZO/HlLtJ m 100.0 23.3   4 11.7 0.233 76.9, 120.0 0.0
NZW/LacJ m 100.0 23.0   4 11.5 0.23 66.2, 116.0 0.0
PERA/EiJ m 100.0 10.8   4 5.42 0.108 88.5, 114.0 0.0
PL/J m 100.0 4.49   4 2.25 0.0449 93.6, 104.0 0.0
PWD/PhJ m 100.0 36.8   4 18.4 0.368 53.2, 132.0 0.0
PWK/PhJ m 100.0 6.9   4 3.45 0.069 91.7, 107.0 0.0
RIIIS/J m 100.0 30.8   4 15.4 0.308 57.6, 129.0 0.0
SEA/GnJ m 100.0 21.5   4 10.8 0.215 67.7, 111.0 0.0
SJL/J m 100.0 50.9   4 25.4 0.509 49.4, 159.0 0.0
SM/J m 100.0 46.2   4 23.1 0.462 35.1, 133.0 0.0
SWR/J m 100.0 20.1   4 10.0 0.201 73.1, 122.0 0.0
WSB/EiJ m 100.0 22.9   3 13.2 0.229 73.5, 114.0 0.0


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 100.0 11.2297 122.274 77.726
129X1/SvJ m 100.0025 11.2297 122.2765 77.7285
A/J m 100.0025 11.2297 122.2765 77.7285
AKR/J m 99.9975 11.2297 122.2715 77.7235
BALB/cByJ m 100.0 11.2297 122.274 77.726
BTBR T+ Itpr3tf/J m 100.0 11.2297 122.274 77.726
C3H/HeJ m 100.0 11.2297 122.274 77.726
C57BL/6J m 100.0 11.2297 122.274 77.726
C57BLKS/J m 99.9975 11.2297 122.2715 77.7235
C57BR/cdJ m 100.0 11.2297 122.274 77.726
C58/J m 100.0 15.8811 131.5002 68.4998
CBA/J m 100.0 11.2297 122.274 77.726
CZECHII/EiJ m 100.0 11.2297 122.274 77.726
DBA/2J m 100.0 11.2297 122.274 77.726
FVB/NJ m 100.0 11.2297 122.274 77.726
I/LnJ m 100.0025 11.2297 122.2765 77.7285
KK/HlJ m 100.0 11.2297 122.274 77.726
LG/J m 100.0 11.2297 122.274 77.726
LP/J m 100.0025 11.2297 122.2765 77.7285
MA/MyJ m 100.0 11.2297 122.274 77.726
NOD/ShiLtJ m 99.9975 11.2297 122.2715 77.7235
NON/ShiLtJ m 100.0 11.2297 122.274 77.726
NZB/BlNJ m 99.9975 11.2297 122.2715 77.7235
NZO/HlLtJ m 100.0 11.2297 122.274 77.726
NZW/LacJ m 100.0 11.2297 122.274 77.726
PERA/EiJ m 100.0025 11.2297 122.2765 77.7285
PL/J m 99.9975 11.2297 122.2715 77.7235
PWD/PhJ m 99.9975 11.2297 122.2715 77.7235
PWK/PhJ m 100.0025 11.2297 122.2765 77.7285
RIIIS/J m 100.0 11.2297 122.274 77.726
SEA/GnJ m 99.9975 11.2297 122.2715 77.7235
SJL/J m 100.0 11.2297 122.274 77.726
SM/J m 100.0025 11.2297 122.2765 77.7285
SWR/J m 100.0025 11.2297 122.2765 77.7285
WSB/EiJ m 100.0 12.9669 125.7198 74.2802




  GWAS USING LINEAR MIXED MODELS