Project measure / variable:   Wiltshire4   Bcells_BEZ_A


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability dose: 0.046 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means102   %
Median of the strain means99.8   %
SD of the strain means± 15.8
Coefficient of variation (CV)0.155
Min–max range of strain means58.1   –   144   %
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 32523.8408 985.5709 1.6946 0.0244
Residuals 99 57578.2059 581.598


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ m 115.0 9.13   4 4.56 0.0792 102.0, 124.0 0.82
129X1/SvJ m 90.4 8.68   4 4.34 0.0961 79.5, 101.0 -0.74
A/J m 105.0 3.27   4 1.64 0.0311 103.0, 110.0 0.19
AKR/J m 100.0 0.171   4 0.0854 0.0017 100.0, 100.0 -0.13
BALB/cByJ m 99.9 2.01   4 1.01 0.0202 97.9, 102.0 -0.14
BTBR T+ Itpr3tf/J m 107.0 7.96   4 3.98 0.0746 98.3, 114.0 0.31
BUB/BnJ m 103.0 10.8   4 5.42 0.105 89.4, 114.0 0.06
C3H/HeJ m 94.0 10.6   4 5.29 0.112 82.4, 104.0 -0.51
C57BL/6J m 101.0 2.35   4 1.18 0.0232 98.8, 104.0 -0.07
C57BLKS/J m 117.0 35.3   4 17.6 0.301 92.0, 169.0 0.95
C58/J m 89.8 14.6   2   10.3 0.163 79.4, 100.0 -0.78
CBA/J m 104.0 20.1   4 10.1 0.193 82.7, 128.0 0.12
CZECHII/EiJ m 99.8 26.7   4 13.4 0.268 68.5, 130.0 -0.14
DBA/2J m 140.0 77.8   4 38.9 0.555 75.4, 253.0 2.41
FVB/NJ m 96.7 6.74   4 3.37 0.0697 89.8, 103.0 -0.34
I/LnJ m 91.6 17.6   4 8.82 0.192 65.9, 103.0 -0.66
KK/HlJ m 96.7 7.31   4 3.66 0.0756 88.5, 106.0 -0.34
LG/J m 58.1 67.9   4 33.9 1.17 -2.79
LP/J m 115.0 19.5   4 9.76 0.169 88.0, 133.0 0.82
MA/MyJ m 95.2 8.05   4 4.03 0.0846 83.2, 100.0 -0.43
NOD/ShiLtJ m 115.0 20.1   4 10.0 0.174 88.6, 137.0 0.82
NON/ShiLtJ m 113.0 11.3   4 5.63 0.0996 101.0, 123.0 0.69
NZB/BlNJ m 95.9 4.95   4 2.48 0.0516 89.4, 101.0 -0.39
NZO/HlLtJ m 89.5 16.2   4 8.12 0.182 70.5, 109.0 -0.8
NZW/LacJ m 79.5 13.5   4 6.74 0.17 66.9, 98.6 -1.43
PERA/EiJ m 144.0 50.2   4 25.1 0.349 103.0, 216.0 2.66
PL/J m 101.0 8.52   4 4.26 0.0845 90.6, 111.0 -0.07
PWD/PhJ m 129.0 22.5   4 11.3 0.175 110.0, 157.0 1.71
PWK/PhJ m 94.0 8.25   4 4.13 0.0878 84.2, 104.0 -0.51
RIIIS/J m 96.8 1.87   4 0.935 0.0193 94.4, 98.3 -0.33
SEA/GnJ m 97.8 7.4   4 3.7 0.0757 88.5, 104.0 -0.27
SJL/J m 103.0 10.4   4 5.18 0.101 89.5, 113.0 0.06
SM/J m 94.8 18.3   4 9.16 0.193 72.8, 118.0 -0.46
WSB/EiJ m 97.0 11.8   3 6.82 0.122 88.8, 111.0 -0.32


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 115.2375 12.0582 139.1635 91.3115
129X1/SvJ m 90.365 12.0582 114.291 66.439
A/J m 105.315 12.0582 129.241 81.389
AKR/J m 100.255 12.0582 124.181 76.329
BALB/cByJ m 99.89 12.0582 123.816 75.964
BTBR T+ Itpr3tf/J m 106.6275 12.0582 130.5535 82.7015
BUB/BnJ m 103.145 12.0582 127.071 79.219
C3H/HeJ m 94.0425 12.0582 117.9685 70.1165
C57BL/6J m 101.455 12.0582 125.381 77.529
C57BLKS/J m 117.29 12.0582 141.216 93.364
C58/J m 89.75 17.0528 123.5865 55.9135
CBA/J m 104.4375 12.0582 128.3635 80.5115
CZECHII/EiJ m 99.775 12.0582 123.701 75.849
DBA/2J m 140.1475 12.0582 164.0735 116.2215
FVB/NJ m 96.7175 12.0582 120.6435 72.7915
I/LnJ m 91.6225 12.0582 115.5485 67.6965
KK/HlJ m 96.7125 12.0582 120.6385 72.7865
LG/J m 58.065 12.0582 81.991 34.139
LP/J m 115.125 12.0582 139.051 91.199
MA/MyJ m 95.21 12.0582 119.136 71.284
NOD/ShiLtJ m 115.005 12.0582 138.931 91.079
NON/ShiLtJ m 113.0725 12.0582 136.9985 89.1465
NZB/BlNJ m 95.9375 12.0582 119.8635 72.0115
NZO/HlLtJ m 89.45 12.0582 113.376 65.524
NZW/LacJ m 79.5425 12.0582 103.4685 55.6165
PERA/EiJ m 143.76 12.0582 167.686 119.834
PL/J m 100.8725 12.0582 124.7985 76.9465
PWD/PhJ m 128.77 12.0582 152.696 104.844
PWK/PhJ m 94.035 12.0582 117.961 70.109
RIIIS/J m 96.8125 12.0582 120.7385 72.8865
SEA/GnJ m 97.775 12.0582 121.701 73.849
SJL/J m 103.1125 12.0582 127.0385 79.1865
SM/J m 94.8325 12.0582 118.7585 70.9065
WSB/EiJ m 96.9967 13.9236 124.6241 69.3693




  GWAS USING LINEAR MIXED MODELS