Project measure / variable:   Wiltshire4   Bcells_Sel_C


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability dose: 1.235 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means97.5   %
Median of the strain means97.8   %
SD of the strain means± 17.3
Coefficient of variation (CV)0.177
Min–max range of strain means55.6   –   158   %
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 38903.1476 1178.8833 2.7446 0.0001
Residuals 99 42523.9934 429.5353


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 106.0 5.81   4 2.91 0.055 97.7, 111.0 0.49
129X1/SvJ m 103.0 9.6   4 4.8 0.0931 91.2, 114.0 0.32
A/J m 96.5 8.33   4 4.16 0.0863 86.2, 105.0 -0.06
AKR/J m 104.0 7.79   4 3.9 0.0751 92.2, 109.0 0.38
BALB/cByJ m 102.0 4.16   4 2.08 0.0409 95.5, 104.0 0.26
BTBR T+ Itpr3tf/J m 79.9 17.9   4 8.95 0.224 59.3, 101.0 -1.02
BUB/BnJ m 97.7 11.5   4 5.77 0.118 83.1, 111.0 0.01
C3H/HeJ m 93.5 2.52   4 1.26 0.0269 90.3, 95.9 -0.23
C57BL/6J m 97.3 5.48   4 2.74 0.0563 89.4, 102.0 -0.01
C57BLKS/J m 88.0 10.8   4 5.4 0.123 72.6, 95.8 -0.55
C58/J m 84.0 5.98   2   4.23 0.0712 79.8, 88.3 -0.78
CBA/J m 79.1 16.9   4 8.47 0.214 61.8, 102.0 -1.06
CZECHII/EiJ m 88.5 21.7   4 10.8 0.245 63.9, 114.0 -0.52
DBA/2J m 94.2 40.5   4 20.3 0.43 57.6, 142.0 -0.19
FVB/NJ m 104.0 3.1   4 1.55 0.0299 100.0, 108.0 0.38
I/LnJ m 112.0 13.8   4 6.88 0.123 93.0, 123.0 0.84
KK/HlJ m 97.9 4.01   4 2.0 0.0409 94.5, 103.0 0.03
LG/J m 55.6 66.7   4 33.3 1.2 -2.42
LP/J m 106.0 10.3   4 5.13 0.0966 93.2, 116.0 0.49
MA/MyJ m 93.3 5.46   4 2.73 0.0585 88.0, 100.0 -0.24
NOD/ShiLtJ m 110.0 15.0   4 7.48 0.136 89.2, 123.0 0.73
NON/ShiLtJ m 94.4 22.0   4 11.0 0.233 64.9, 115.0 -0.18
NZB/BlNJ m 99.5 1.96   4 0.978 0.0197 97.1, 102.0 0.12
NZO/HlLtJ m 82.9 21.2   4 10.6 0.256 67.0, 114.0 -0.84
NZW/LacJ m 63.8 9.54   4 4.77 0.15 55.2, 77.4 -1.95
PERA/EiJ m 94.1 33.3   4 16.6 0.354 61.4, 138.0 -0.19
PL/J m 85.5 22.7   4 11.4 0.266 59.4, 109.0 -0.69
PWD/PhJ m 130.0 24.8   4 12.4 0.191 102.0, 157.0 1.88
PWK/PhJ m 98.8 5.7   4 2.85 0.0577 92.5, 106.0 0.08
RIIIS/J m 101.0 2.92   4 1.46 0.0288 98.8, 105.0 0.2
SEA/GnJ m 103.0 4.98   4 2.49 0.0481 98.2, 110.0 0.32
SJL/J m 158.0 48.0   4 24.0 0.304 91.6, 201.0 3.5
SM/J m 109.0 9.17   4 4.59 0.0844 101.0, 119.0 0.67
WSB/EiJ m 101.0 15.0   3 8.66 0.149 85.2, 115.0 0.2


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 105.6675 10.3626 126.2292 85.1058
129X1/SvJ m 103.075 10.3626 123.6367 82.5133
A/J m 96.5225 10.3626 117.0842 75.9608
AKR/J m 103.7725 10.3626 124.3342 83.2108
BALB/cByJ m 101.685 10.3626 122.2467 81.1233
BTBR T+ Itpr3tf/J m 79.9175 10.3626 100.4792 59.3558
BUB/BnJ m 97.68 10.3626 118.2417 77.1183
C3H/HeJ m 93.5175 10.3626 114.0792 72.9558
C57BL/6J m 97.345 10.3626 117.9067 76.7833
C57BLKS/J m 87.96 10.3626 108.5217 67.3983
C58/J m 84.04 14.655 113.1186 54.9614
CBA/J m 79.07 10.3626 99.6317 58.5083
CZECHII/EiJ m 88.5175 10.3626 109.0792 67.9558
DBA/2J m 94.225 10.3626 114.7867 73.6633
FVB/NJ m 103.88 10.3626 124.4417 83.3183
I/LnJ m 112.0175 10.3626 132.5792 91.4558
KK/HlJ m 97.88 10.3626 118.4417 77.3183
LG/J m 55.565 10.3626 76.1267 35.0033
LP/J m 106.175 10.3626 126.7367 85.6133
MA/MyJ m 93.3075 10.3626 113.8692 72.7458
NOD/ShiLtJ m 109.9425 10.3626 130.5042 89.3808
NON/ShiLtJ m 94.4325 10.3626 114.9942 73.8708
NZB/BlNJ m 99.4975 10.3626 120.0592 78.9358
NZO/HlLtJ m 82.9425 10.3626 103.5042 62.3808
NZW/LacJ m 63.8075 10.3626 84.3692 43.2458
PERA/EiJ m 94.11 10.3626 114.6717 73.5483
PL/J m 85.53 10.3626 106.0917 64.9683
PWD/PhJ m 129.91 10.3626 150.4717 109.3483
PWK/PhJ m 98.8 10.3626 119.3617 78.2383
RIIIS/J m 101.1 10.3626 121.6617 80.5383
SEA/GnJ m 103.36 10.3626 123.9217 82.7983
SJL/J m 157.73 10.3626 178.2917 137.1683
SM/J m 108.69 10.3626 129.2517 88.1283
WSB/EiJ m 100.6467 11.9657 124.3892 76.9041




  GWAS USING LINEAR MIXED MODELS