Project measure / variable:   Wiltshire4   Bcells_Sel_B


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability dose: 0.137 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means97.9   %
Median of the strain means98.8   %
SD of the strain means± 11.4
Coefficient of variation (CV)0.116
Min–max range of strain means70.0   –   131   %
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 16854.0591 510.7291 1.0817 0.3728
Residuals 99 46741.6474 472.1379


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 9.25   4 4.62 0.0887 95.0, 115.0 0.54
129X1/SvJ m 101.0 14.4   4 7.2 0.143 82.1, 115.0 0.28
A/J m 93.1 0.94   4 0.47 0.0101 92.0, 94.2 -0.42
AKR/J m 105.0 5.07   4 2.53 0.0483 97.6, 109.0 0.63
BALB/cByJ m 100.0 2.25   4 1.12 0.0224 97.0, 102.0 0.19
BTBR T+ Itpr3tf/J m 84.1 8.5   4 4.25 0.101 74.7, 95.0 -1.21
BUB/BnJ m 101.0 12.4   4 6.21 0.123 82.8, 111.0 0.28
C3H/HeJ m 87.5 6.16   4 3.08 0.0704 78.6, 92.3 -0.91
C57BL/6J m 98.7 5.13   4 2.57 0.052 91.1, 102.0 0.07
C57BLKS/J m 87.2 17.5   4 8.73 0.2 69.2, 111.0 -0.94
C58/J m 105.0 11.5   2   8.1 0.109 97.2, 113.0 0.63
CBA/J m 102.0 39.1   4 19.5 0.383 55.8, 139.0 0.36
CZECHII/EiJ m 96.2 21.4   4 10.7 0.222 73.2, 124.0 -0.15
DBA/2J m 95.2 44.1   4 22.0 0.463 56.1, 155.0 -0.24
FVB/NJ m 97.0 10.1   4 5.05 0.104 88.8, 109.0 -0.08
I/LnJ m 108.0 11.8   4 5.9 0.109 92.8, 120.0 0.89
KK/HlJ m 94.4 3.28   4 1.64 0.0347 90.8, 98.2 -0.31
LG/J m 93.3 63.5   4 31.7 0.68 -0.4
LP/J m 107.0 12.5   4 6.27 0.118 91.8, 118.0 0.8
MA/MyJ m 99.1 12.0   4 5.99 0.121 81.3, 107.0 0.11
NOD/ShiLtJ m 109.0 48.6   4 24.3 0.447 66.7, 176.0 0.98
NON/ShiLtJ m 96.2 18.3   4 9.15 0.19 72.8, 114.0 -0.15
NZB/BlNJ m 101.0 3.62   4 1.81 0.0359 95.2, 103.0 0.28
NZO/HlLtJ m 74.8 7.08   4 3.54 0.0947 70.7, 85.3 -2.03
NZW/LacJ m 70.0 18.9   4 9.45 0.27 55.8, 97.8 -2.45
PERA/EiJ m 82.2 18.0   4 9.02 0.219 57.1, 95.7 -1.38
PL/J m 91.4 17.8   4 8.9 0.195 65.8, 105.0 -0.57
PWD/PhJ m 131.0 28.9   4 14.4 0.22 92.7, 163.0 2.92
PWK/PhJ m 98.3 4.56   4 2.28 0.0464 93.6, 104.0 0.04
RIIIS/J m 99.0 0.294   4 0.147 0.00297 98.6, 99.2 0.1
SEA/GnJ m 91.0 9.65   4 4.83 0.106 83.2, 105.0 -0.61
SJL/J m 103.0 35.3   4 17.7 0.343 77.2, 153.0 0.45
SM/J m 120.0 0.907   4 0.453 0.00757 119.0, 121.0 1.95
WSB/EiJ m 102.0 14.9   3 8.59 0.146 85.5, 114.0 0.36


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 104.325 10.8644 125.8823 82.7677
129X1/SvJ m 100.895 10.8644 122.4523 79.3377
A/J m 93.135 10.8644 114.6923 71.5777
AKR/J m 104.89 10.8644 126.4473 83.3327
BALB/cByJ m 100.27 10.8644 121.8273 78.7127
BTBR T+ Itpr3tf/J m 84.0525 10.8644 105.6098 62.4952
BUB/BnJ m 100.9225 10.8644 122.4798 79.3652
C3H/HeJ m 87.55 10.8644 109.1073 65.9927
C57BL/6J m 98.6725 10.8644 120.2298 77.1152
C57BLKS/J m 87.17 10.8644 108.7273 65.6127
C58/J m 105.32 15.3645 135.8066 74.8334
CBA/J m 101.9925 10.8644 123.5498 80.4352
CZECHII/EiJ m 96.225 10.8644 117.7823 74.6677
DBA/2J m 95.17 10.8644 116.7273 73.6127
FVB/NJ m 97.03 10.8644 118.5873 75.4727
I/LnJ m 108.3025 10.8644 129.8598 86.7452
KK/HlJ m 94.425 10.8644 115.9823 72.8677
LG/J m 93.3325 10.8644 114.8898 71.7752
LP/J m 106.5875 10.8644 128.1448 85.0302
MA/MyJ m 99.1025 10.8644 120.6598 77.5452
NOD/ShiLtJ m 108.7275 10.8644 130.2848 87.1702
NON/ShiLtJ m 96.15 10.8644 117.7073 74.5927
NZB/BlNJ m 100.61 10.8644 122.1673 79.0527
NZO/HlLtJ m 74.7575 10.8644 96.3148 53.2002
NZW/LacJ m 69.97 10.8644 91.5273 48.4127
PERA/EiJ m 82.23 10.8644 103.7873 60.6727
PL/J m 91.3775 10.8644 112.9348 69.8202
PWD/PhJ m 131.0025 10.8644 152.5598 109.4452
PWK/PhJ m 98.325 10.8644 119.8823 76.7677
RIIIS/J m 98.955 10.8644 120.5123 77.3977
SEA/GnJ m 90.96 10.8644 112.5173 69.4027
SJL/J m 102.995 10.8644 124.5523 81.4377
SM/J m 119.7025 10.8644 141.2598 98.1452
WSB/EiJ m 101.9367 12.5451 126.8288 77.0445




  GWAS USING LINEAR MIXED MODELS