Project measure / variable:   Peters2   WBC

ID, description, units MPD:6501   WBC   white blood cell count (WBC; per volume x 103)   [n/µL]  
Data set, strains Peters2   AXB BXA   28 strains     sex: both     age: 11wks
Procedure complete blood count
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  STRAIN COMPARISON PLOT
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Peters2 - white blood cell count (WBC; per volume x 103)

BXA12/PgnJBXA2/PgnJBXA25/PgnJBXA13/PgnJAXB6/PgnJBXA1/PgnJAXB2/PgnJAXB24/PgnJAXB15/PgnJAXB19/PgnJBXA26/PgnJAXB12/PgnJAXB19a/PgnJBXA4/PgnJBXA24/PgnJBXA7/PgnJAXB23/PgnJAXB19b/PgnJBXA8/PgnJAXB5/PgnJAXB1/PgnJAXB13/PgnJBXA16/PgnJBXA11/PgnJAXB10/PgnJAXB4/PgnJBXA14/PgnJAXB8/PgnJ n/µL x 103 4681012141618femalemale


  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested28 strains28 strains
Mean of the strain means8.18   n/µL 8.69   n/µL
Median of the strain means8.09   n/µL 8.67   n/µL
SD of the strain means± 1.96 ± 1.68
Coefficient of variation (CV)0.240 0.194
Min–max range of strain means4.52   –   12.1   n/µL 4.68   –   11.7   n/µL
Mean sample size per strain7.7   mice 7.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 24.787 24.787 6.696 0.01
strain 27 1220.928 45.2196 12.2157 < 0.0001
sex:strain 27 179.9576 6.6651 1.8005 0.0093
Residuals 393 1454.7926 3.7018


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page: 1 - 10 / 56 (56)
Strain
Sex
Mean
SD
N mice
SEM
CV
Min, Max
Z score
AXB10/PgnJ f 5.57 0.694   7 0.262 0.125 4.91, 6.81 -1.33
AXB10/PgnJ m 7.0 1.12   8 0.395 0.16 4.55, 7.83 -1.0
AXB12/PgnJ f 8.1 1.21   10 0.383 0.15 6.47, 10.4 -0.04
AXB12/PgnJ m 9.7 1.52   8 0.539 0.157 7.06, 11.2 0.6
AXB13/PgnJ f 6.83 1.19   8 0.421 0.174 4.42, 8.01 -0.69
AXB13/PgnJ m 7.34 1.69   8 0.598 0.23 5.39, 10.3 -0.8
AXB15/PgnJ f 9.41 1.64   8 0.581 0.175 5.87, 11.4 0.63
AXB15/PgnJ m 9.49 2.09   8 0.738 0.22 6.12, 12.1 0.47
AXB19a/PgnJ f 9.41 1.25   8 0.44 0.132 7.53, 11.0 0.63
AXB19a/PgnJ m 8.22 2.09   8 0.737 0.254 5.77, 11.8 -0.28
AXB19b/PgnJ f 8.07 1.57   7 0.594 0.195 6.26, 9.68 -0.05
AXB19b/PgnJ m 8.1 2.23   8 0.788 0.275 5.51, 11.3 -0.35
AXB19/PgnJ f 9.74 1.48   8 0.524 0.152 8.06, 12.5 0.8
AXB19/PgnJ m 8.73 1.3   8 0.46 0.149 6.64, 10.4 0.02
AXB1/PgnJ f 7.2 1.0   5 0.448 0.139 6.05, 8.55 -0.5
AXB1/PgnJ m 7.44 2.61   8 0.923 0.351 3.4, 10.0 -0.74
AXB23/PgnJ f 9.2 3.91   5 1.75 0.424 5.12, 14.3 0.52
AXB23/PgnJ m 7.0 1.92   7 0.724 0.274 4.31, 10.1 -1.0
AXB24/PgnJ f 9.48 2.07   8 0.732 0.218 6.57, 11.9 0.67
AXB24/PgnJ m 9.79 3.26   8 1.15 0.333 4.41, 13.5 0.65
AXB2/PgnJ f 8.52 2.57   8 0.909 0.301 5.15, 13.0 0.18
AXB2/PgnJ m 11.0 2.2   8 0.778 0.2 7.22, 13.4 1.37
AXB4/PgnJ f 4.64 1.36   6 0.555 0.293 3.23, 6.49 -1.8
AXB4/PgnJ m 6.63 2.0   9 0.666 0.301 4.33, 9.97 -1.22
AXB5/PgnJ f 6.88 1.37   7 0.519 0.2 4.64, 9.01 -0.66
AXB5/PgnJ m 8.72 1.44   7 0.545 0.165 6.57, 11.0 0.02
AXB6/PgnJ f 9.15 1.45   7 0.549 0.159 6.29, 10.4 0.5
AXB6/PgnJ m 10.7 1.1   6 0.451 0.103 9.5, 11.9 1.19
AXB8/PgnJ f 5.11 1.74   7 0.656 0.34 2.93, 7.23 -1.56
AXB8/PgnJ m 4.68 0.987   8 0.349 0.211 3.97, 6.96 -2.38
BXA11/PgnJ f 6.66 1.42   8 0.504 0.214 4.64, 8.9 -0.77
BXA11/PgnJ m 6.89 2.0   8 0.709 0.291 4.52, 10.0 -1.07
BXA12/PgnJ f 11.6 2.84   8 1.01 0.246 9.11, 17.3 1.75
BXA12/PgnJ m 11.6 2.13   8 0.755 0.185 7.78, 15.0 1.73
BXA13/PgnJ f 10.1 1.23   8 0.436 0.123 8.69, 12.2 0.98
BXA13/PgnJ m 10.9 1.95   8 0.691 0.18 8.42, 15.0 1.31
BXA14/PgnJ f 4.52 1.38   8 0.489 0.306 3.33, 7.74 -1.87
BXA14/PgnJ m 6.49 2.08   8 0.734 0.32 3.15, 9.07 -1.31
BXA16/PgnJ f 6.12 0.806   8 0.285 0.132 4.77, 7.4 -1.05
BXA16/PgnJ m 7.67 1.23   8 0.435 0.16 5.92, 9.35 -0.61
BXA1/PgnJ f 9.85 1.5   8 0.529 0.152 6.97, 12.1 0.85
BXA1/PgnJ m 9.94 1.09   6 0.446 0.11 8.91, 11.6 0.74
BXA24/PgnJ f 7.29 1.51   8 0.532 0.206 5.66, 10.0 -0.45
BXA24/PgnJ m 9.49 1.66   8 0.585 0.174 6.02, 11.1 0.47
BXA25/PgnJ f 12.1 2.64   8 0.932 0.219 9.26, 16.2 2.0
BXA25/PgnJ m 9.31 2.68   8 0.949 0.288 6.25, 13.6 0.37
BXA26/PgnJ f 9.81 2.4   9 0.801 0.245 6.54, 14.1 0.83
BXA26/PgnJ m 8.61 4.28   7 1.62 0.497 3.03, 15.7 -0.05
BXA2/PgnJ f 10.1 2.67   8 0.944 0.264 6.54, 13.1 0.98
BXA2/PgnJ m 11.7 1.41   10 0.445 0.12 9.3, 14.2 1.79
BXA4/PgnJ f 7.9 2.6   8 0.921 0.33 5.07, 13.8 -0.14
BXA4/PgnJ m 9.12 1.03   8 0.364 0.113 7.19, 10.6 0.25
BXA7/PgnJ f 8.05 1.92   8 0.678 0.238 4.9, 11.5 -0.06
BXA7/PgnJ m 8.49 1.54   8 0.544 0.181 5.57, 10.2 -0.12
BXA8/PgnJ f 7.51 1.53   16 0.383 0.204 4.99, 10.0 -0.34
BXA8/PgnJ m 8.62 1.88   15 0.485 0.218 4.07, 11.5 -0.04


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
AXB10/PgnJ f 5.5686 0.7272 6.9983 4.1389
AXB10/PgnJ m 7.0025 0.6802 8.3399 5.6651
AXB12/PgnJ f 8.096 0.6084 9.2922 6.8998
AXB12/PgnJ m 9.6962 0.6802 11.0336 8.3589
AXB13/PgnJ f 6.8338 0.6802 8.1711 5.4964
AXB13/PgnJ m 7.34 0.6802 8.6774 6.0026
AXB15/PgnJ f 9.415 0.6802 10.7524 8.0776
AXB15/PgnJ m 9.49 0.6802 10.8274 8.1526
AXB19a/PgnJ f 9.405 0.6802 10.7424 8.0676
AXB19a/PgnJ m 8.2175 0.6802 9.5549 6.8801
AXB19b/PgnJ f 8.0657 0.7272 9.4954 6.636
AXB19b/PgnJ m 8.1 0.6802 9.4374 6.7626
AXB19/PgnJ f 9.7438 0.6802 11.0811 8.4064
AXB19/PgnJ m 8.7337 0.6802 10.0711 7.3964
AXB1/PgnJ f 7.198 0.8604 8.8896 5.5064
AXB1/PgnJ m 7.4388 0.6802 8.7761 6.1014
AXB23/PgnJ f 9.204 0.8604 10.8956 7.5124
AXB23/PgnJ m 6.9971 0.7272 8.4268 5.5674
AXB24/PgnJ f 9.48 0.6802 10.8174 8.1426
AXB24/PgnJ m 9.7863 0.6802 11.1236 8.4489
AXB2/PgnJ f 8.5238 0.6802 9.8611 7.1864
AXB2/PgnJ m 11.0337 0.6802 12.3711 9.6964
AXB4/PgnJ f 4.6433 0.7855 6.1876 3.0991
AXB4/PgnJ m 6.6333 0.6413 7.8942 5.3725
AXB5/PgnJ f 6.88 0.7272 8.3097 5.4503
AXB5/PgnJ m 8.7243 0.7272 10.154 7.2946
AXB6/PgnJ f 9.1529 0.7272 10.5826 7.7232
AXB6/PgnJ m 10.6867 0.7855 12.2309 9.1424
AXB8/PgnJ f 5.1071 0.7272 6.5368 3.6774
AXB8/PgnJ m 4.6787 0.6802 6.0161 3.3414
BXA11/PgnJ f 6.6575 0.6802 7.9949 5.3201
BXA11/PgnJ m 6.8863 0.6802 8.2236 5.5489
BXA12/PgnJ f 11.5825 0.6802 12.9199 10.2451
BXA12/PgnJ m 11.5513 0.6802 12.8886 10.2139
BXA13/PgnJ f 10.065 0.6802 11.4024 8.7276
BXA13/PgnJ m 10.8875 0.6802 12.2249 9.5501
BXA14/PgnJ f 4.5175 0.6802 5.8549 3.1801
BXA14/PgnJ m 6.49 0.6802 7.8274 5.1526
BXA16/PgnJ f 6.1238 0.6802 7.4611 4.7864
BXA16/PgnJ m 7.665 0.6802 9.0024 6.3276
BXA1/PgnJ f 9.8475 0.6802 11.1849 8.5101
BXA1/PgnJ m 9.94 0.7855 11.4842 8.3958
BXA24/PgnJ f 7.295 0.6802 8.6324 5.9576
BXA24/PgnJ m 9.4925 0.6802 10.8299 8.1551
BXA25/PgnJ f 12.0625 0.6802 13.3999 10.7251
BXA25/PgnJ m 9.3112 0.6802 10.6486 7.9739
BXA26/PgnJ f 9.8089 0.6413 11.0698 8.548
BXA26/PgnJ m 8.6086 0.7272 10.0383 7.1789
BXA2/PgnJ f 10.1138 0.6802 11.4511 8.7764
BXA2/PgnJ m 11.698 0.6084 12.8942 10.5018
BXA4/PgnJ f 7.9038 0.6802 9.2411 6.5664
BXA4/PgnJ m 9.1188 0.6802 10.4561 7.7814
BXA7/PgnJ f 8.0475 0.6802 9.3849 6.7101
BXA7/PgnJ m 8.49 0.6802 9.8274 7.1526
BXA8/PgnJ f 7.51 0.481 8.4557 6.5643
BXA8/PgnJ m 8.6233 0.4968 9.6 7.6467


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
AXB10/PgnJ both 6.2855 0.4979 7.2644 5.3067
AXB12/PgnJ both 8.8961 0.4563 9.7933 7.999
AXB13/PgnJ both 7.0869 0.481 8.0325 6.1412
AXB15/PgnJ both 9.4525 0.481 10.3982 8.5068
AXB19a/PgnJ both 8.8112 0.481 9.7569 7.8656
AXB19b/PgnJ both 8.0829 0.4979 9.0617 7.104
AXB19/PgnJ both 9.2387 0.481 10.1844 8.2931
AXB1/PgnJ both 7.3184 0.5484 8.3966 6.2402
AXB23/PgnJ both 8.1006 0.5633 9.208 6.9931
AXB24/PgnJ both 9.6331 0.481 10.5788 8.6875
AXB2/PgnJ both 9.7788 0.481 10.7244 8.8331
AXB4/PgnJ both 5.6383 0.507 6.6351 4.6415
AXB5/PgnJ both 7.8021 0.5142 8.8131 6.7912
AXB6/PgnJ both 9.9198 0.5352 10.972 8.8675
AXB8/PgnJ both 4.8929 0.4979 5.8718 3.9141
BXA11/PgnJ both 6.7719 0.481 7.7175 5.8262
BXA12/PgnJ both 11.5669 0.481 12.5125 10.6212
BXA13/PgnJ both 10.4763 0.481 11.4219 9.5306
BXA14/PgnJ both 5.5038 0.481 6.4494 4.5581
BXA16/PgnJ both 6.8944 0.481 7.84 5.9487
BXA1/PgnJ both 9.8938 0.5195 10.9152 8.8723
BXA24/PgnJ both 8.3938 0.481 9.3394 7.4481
BXA25/PgnJ both 10.6869 0.481 11.6325 9.7412
BXA26/PgnJ both 9.2087 0.4848 10.1619 8.2556
BXA2/PgnJ both 10.9059 0.4563 11.803 10.0087
BXA4/PgnJ both 8.5113 0.481 9.4569 7.5656
BXA7/PgnJ both 8.2688 0.481 9.2144 7.3231
BXA8/PgnJ both 8.0667 0.3457 8.7464 7.3869




  GWAS USING LINEAR MIXED MODELS

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