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Project measure / variable:   Wiltshire4   monocytes_Dox_ctrl


  STRAIN COMPARISON PLOT
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Wiltshire4 - monocytes, 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 0.0002 0.0 0.0 1.0
Residuals 102 10698.4649 104.8869


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 19.3   4 9.65 0.193 71.8, 115.0 0.0
129X1/SvJ m 100.0 2.53   4 1.27 0.0253 96.4, 102.0 0.0
A/J m 100.0 6.87   4 3.43 0.0687 91.9, 109.0 0.0
AKR/J m 100.0 1.62   4 0.809 0.0162 98.1, 102.0 0.0
BALB/cByJ m 100.0 9.07   4 4.53 0.0907 88.1, 109.0 0.0
BTBR T+ Itpr3tf/J m 100.0 9.95   4 4.97 0.0995 92.0, 113.0 0.0
C3H/HeJ m 100.0 0.94   4 0.47 0.0094 98.7, 101.0 0.0
C57BL/6J m 100.0 1.8   4 0.899 0.018 98.2, 102.0 0.0
C57BLKS/J m 100.0 11.5   4 5.76 0.115 84.2, 110.0 0.0
C57BR/cdJ m 100.0 9.7   4 4.85 0.097 89.5, 112.0 0.0
C58/J m 100.0 3.35   2   2.37 0.0335 97.6, 102.0 0.0
CBA/J m 100.0 6.28   4 3.14 0.0628 94.3, 109.0 0.0
CZECHII/EiJ m 100.0 6.92   4 3.46 0.0692 89.9, 106.0 0.0
DBA/2J m 100.0 9.77   4 4.89 0.0977 91.5, 113.0 0.0
FVB/NJ m 100.0 5.24   4 2.62 0.0524 94.4, 107.0 0.0
I/LnJ m 100.0 3.87   4 1.94 0.0388 96.1, 104.0 0.0
KK/HlJ m 100.0 0.395   4 0.198 0.00395 99.6, 101.0 0.0
LG/J m 100.0 7.87   4 3.94 0.0787 93.5, 111.0 0.0
LP/J m 100.0 2.58   4 1.29 0.0258 96.8, 103.0 0.0
MA/MyJ m 100.0 0.86   4 0.43 0.0086 99.4, 101.0 0.0
NOD/ShiLtJ m 100.0 11.8   4 5.88 0.118 86.4, 114.0 0.0
NON/ShiLtJ m 100.0 19.6   4 9.78 0.196 72.8, 116.0 0.0
NZB/BlNJ m 100.0 7.94   4 3.97 0.0794 88.2, 105.0 0.0
NZO/HlLtJ m 100.0 7.07   4 3.54 0.0707 89.9, 106.0 0.0
NZW/LacJ m 100.0 11.0   4 5.48 0.11 83.9, 108.0 0.0
PERA/EiJ m 100.0 7.41   4 3.7 0.0741 93.2, 110.0 0.0
PL/J m 100.0 1.72   4 0.862 0.0172 98.3, 102.0 0.0
PWD/PhJ m 100.0 8.77   4 4.38 0.0877 88.4, 109.0 0.0
PWK/PhJ m 100.0 8.66   4 4.33 0.0866 90.5, 111.0 0.0
RIIIS/J m 100.0 20.8   4 10.4 0.208 80.2, 129.0 0.0
SEA/GnJ m 100.0 7.12   4 3.56 0.0712 91.5, 109.0 0.0
SJL/J m 100.0 8.9   4 4.45 0.089 90.5, 109.0 0.0
SM/J m 100.0 1.74   4 0.871 0.0174 97.9, 102.0 0.0
SWR/J m 100.0 21.0   4 10.5 0.21 75.0, 126.0 0.0
WSB/EiJ m 100.0 26.1   3 15.1 0.261 76.3, 128.0 0.0


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 99.9975 5.1207 110.1544 89.8406
129X1/SvJ m 100.0025 5.1207 110.1594 89.8456
A/J m 99.9975 5.1207 110.1544 89.8406
AKR/J m 100.0 5.1207 110.1569 89.8431
BALB/cByJ m 100.0 5.1207 110.1569 89.8431
BTBR T+ Itpr3tf/J m 100.0 5.1207 110.1569 89.8431
C3H/HeJ m 100.0 5.1207 110.1569 89.8431
C57BL/6J m 100.0 5.1207 110.1569 89.8431
C57BLKS/J m 100.0 5.1207 110.1569 89.8431
C57BR/cdJ m 100.0 5.1207 110.1569 89.8431
C58/J m 100.0 7.2418 114.364 85.636
CBA/J m 99.9975 5.1207 110.1544 89.8406
CZECHII/EiJ m 100.0 5.1207 110.1569 89.8431
DBA/2J m 100.0 5.1207 110.1569 89.8431
FVB/NJ m 100.0 5.1207 110.1569 89.8431
I/LnJ m 99.9975 5.1207 110.1544 89.8406
KK/HlJ m 100.0 5.1207 110.1569 89.8431
LG/J m 99.9975 5.1207 110.1544 89.8406
LP/J m 100.0 5.1207 110.1569 89.8431
MA/MyJ m 100.0 5.1207 110.1569 89.8431
NOD/ShiLtJ m 100.0 5.1207 110.1569 89.8431
NON/ShiLtJ m 100.0 5.1207 110.1569 89.8431
NZB/BlNJ m 100.0 5.1207 110.1569 89.8431
NZO/HlLtJ m 100.0 5.1207 110.1569 89.8431
NZW/LacJ m 100.0 5.1207 110.1569 89.8431
PERA/EiJ m 100.0 5.1207 110.1569 89.8431
PL/J m 100.0 5.1207 110.1569 89.8431
PWD/PhJ m 100.0 5.1207 110.1569 89.8431
PWK/PhJ m 100.0 5.1207 110.1569 89.8431
RIIIS/J m 100.0 5.1207 110.1569 89.8431
SEA/GnJ m 100.0 5.1207 110.1569 89.8431
SJL/J m 100.0 5.1207 110.1569 89.8431
SM/J m 100.0025 5.1207 110.1594 89.8456
SWR/J m 100.0 5.1207 110.1569 89.8431
WSB/EiJ m 100.0 5.9129 111.7282 88.2718




  GWAS USING LINEAR MIXED MODELS