Project measure / variable:   Wiltshire4   Bcells_BEZ_E


  STRAIN COMPARISON PLOT
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Wiltshire4 - B cells, percent viability dose: 100 µM



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested34 strains
Mean of the strain means108   %
Median of the strain means96.0   %
SD of the strain means± 42.8
Coefficient of variation (CV)0.395
Min–max range of strain means58.1   –   265   %
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 240720.039 7294.5466 3.8386 < 0.0001
Residuals 99 188131.8906 1900.3221


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 92.8 10.1   4 5.07 0.109 86.6, 108.0 -0.36
129X1/SvJ m 83.2 9.4   4 4.7 0.113 76.8, 97.1 -0.59
A/J m 80.4 15.7   4 7.86 0.195 63.4, 101.0 -0.65
AKR/J m 99.0 0.938   4 0.469 0.00948 97.8, 99.9 -0.22
BALB/cByJ m 101.0 4.35   4 2.18 0.043 96.8, 106.0 -0.17
BTBR T+ Itpr3tf/J m 119.0 44.6   4 22.3 0.375 76.1, 169.0 0.25
BUB/BnJ m 73.3 9.2   4 4.6 0.125 62.5, 82.5 -0.82
C3H/HeJ m 89.2 10.3   4 5.16 0.116 77.0, 102.0 -0.45
C57BL/6J m 93.0 10.5   4 5.24 0.113 82.2, 103.0 -0.36
C57BLKS/J m 139.0 10.8   4 5.39 0.0774 126.0, 149.0 0.72
C58/J m 130.0 68.4   2   48.4 0.526 81.6, 178.0 0.51
CBA/J m 199.0 38.4   4 19.2 0.193 161.0, 249.0 2.12
CZECHII/EiJ m 102.0 29.7   4 14.8 0.29 60.4, 130.0 -0.15
DBA/2J m 192.0 89.6   4 44.8 0.466 125.0, 325.0 1.95
FVB/NJ m 114.0 2.66   4 1.33 0.0232 111.0, 117.0 0.13
I/LnJ m 94.1 8.92   4 4.46 0.0948 81.0, 101.0 -0.33
KK/HlJ m 58.1 2.86   4 1.43 0.0492 54.5, 60.9 -1.17
LG/J m 88.7 61.1   4 30.5 0.688 -0.46
LP/J m 83.5 9.07   4 4.54 0.109 72.5, 94.7 -0.58
MA/MyJ m 61.4 28.6   4 14.3 0.466 30.0, 99.2 -1.1
NOD/ShiLtJ m 167.0 69.7   4 34.8 0.419 102.0, 264.0 1.37
NON/ShiLtJ m 106.0 15.9   4 7.97 0.151 92.8, 126.0 -0.05
NZB/BlNJ m 97.6 4.52   4 2.26 0.0463 90.8, 101.0 -0.25
NZO/HlLtJ m 68.4 38.3   4 19.1 0.56 29.7, 102.0 -0.93
NZW/LacJ m 75.0 36.3   4 18.1 0.484 43.9, 126.0 -0.78
PERA/EiJ m 117.0 48.4   4 24.2 0.414 69.8, 176.0 0.2
PL/J m 97.8 28.9   4 14.4 0.295 54.6, 115.0 -0.25
PWD/PhJ m 265.0 174.0   4 87.1 0.659 153.0, 524.0 3.66
PWK/PhJ m 94.4 8.56   4 4.28 0.0907 81.9, 101.0 -0.33
RIIIS/J m 83.4 9.75   4 4.87 0.117 73.5, 96.8 -0.58
SEA/GnJ m 93.3 11.5   4 5.77 0.124 79.0, 107.0 -0.35
SJL/J m 139.0 29.3   4 14.6 0.21 105.0, 174.0 0.72
SM/J m 74.3 23.1   4 11.6 0.311 55.2, 106.0 -0.8
WSB/EiJ m 113.0 7.32   3 4.23 0.0646 105.0, 118.0 0.11


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 92.76 21.7963 136.0087 49.5113
129X1/SvJ m 83.2 21.7963 126.4487 39.9513
A/J m 80.4125 21.7963 123.6612 37.1638
AKR/J m 98.9875 21.7963 142.2362 55.7388
BALB/cByJ m 101.2075 21.7963 144.4562 57.9588
BTBR T+ Itpr3tf/J m 118.735 21.7963 161.9837 75.4863
BUB/BnJ m 73.335 21.7963 116.5837 30.0863
C3H/HeJ m 89.235 21.7963 132.4837 45.9863
C57BL/6J m 92.9925 21.7963 136.2412 49.7438
C57BLKS/J m 139.38 21.7963 182.6287 96.1313
C58/J m 129.95 30.8247 191.1129 68.7871
CBA/J m 198.8075 21.7963 242.0562 155.5588
CZECHII/EiJ m 102.1125 21.7963 145.3612 58.8638
DBA/2J m 192.4875 21.7963 235.7362 149.2388
FVB/NJ m 114.345 21.7963 157.5937 71.0963
I/LnJ m 94.1 21.7963 137.3487 50.8513
KK/HlJ m 58.0725 21.7963 101.3212 14.8238
LG/J m 88.7075 21.7963 131.9562 45.4588
LP/J m 83.515 21.7963 126.7637 40.2663
MA/MyJ m 61.4125 21.7963 104.6612 18.1638
NOD/ShiLtJ m 166.515 21.7963 209.7637 123.2663
NON/ShiLtJ m 105.7175 21.7963 148.9662 62.4688
NZB/BlNJ m 97.5575 21.7963 140.8062 54.3088
NZO/HlLtJ m 68.35 21.7963 111.5987 25.1013
NZW/LacJ m 75.03 21.7963 118.2787 31.7813
PERA/EiJ m 116.78 21.7963 160.0287 73.5313
PL/J m 97.785 21.7963 141.0337 54.5363
PWD/PhJ m 264.555 21.7963 307.8037 221.3063
PWK/PhJ m 94.3575 21.7963 137.6062 51.1088
RIIIS/J m 83.36 21.7963 126.6087 40.1113
SEA/GnJ m 93.325 21.7963 136.5737 50.0763
SJL/J m 139.3475 21.7963 182.5962 96.0988
SM/J m 74.28 21.7963 117.5287 31.0313
WSB/EiJ m 113.25 25.1682 163.1893 63.3107




  GWAS USING LINEAR MIXED MODELS