Project measure / variable:   Peters2   NEUT

ID, description, units MPD:6511   NEUT   neutrophil differential (percent of total WBC)   [%]  
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 - neutrophil differential (percent of total WBC)

BXA14/PgnJAXB8/PgnJBXA13/PgnJAXB4/PgnJBXA4/PgnJBXA25/PgnJBXA24/PgnJBXA8/PgnJAXB12/PgnJBXA2/PgnJAXB1/PgnJAXB10/PgnJAXB24/PgnJAXB19b/PgnJAXB23/PgnJAXB5/PgnJAXB6/PgnJBXA12/PgnJBXA7/PgnJBXA11/PgnJAXB13/PgnJBXA26/PgnJBXA16/PgnJAXB15/PgnJBXA1/PgnJAXB2/PgnJAXB19a/PgnJAXB19/PgnJ % 4681012141618202224262830femalemale


  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested28 strains28 strains
Mean of the strain means9.09   % 10.2   %
Median of the strain means8.59   % 9.65   %
SD of the strain means± 2.31 ± 3.52
Coefficient of variation (CV)0.254 0.345
Min–max range of strain means5.65   –   14.6   % 5.80   –   21.8   %
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 1 158.2135 158.2135 19.031 < 0.0001
strain 27 2912.7244 107.8787 12.9763 < 0.0001
sex:strain 27 849.4992 31.4629 3.7846 < 0.0001
Residuals 392 3258.8864 8.3135


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 9.94 1.96   7 0.742 0.198 7.1, 12.7 0.37
AXB10/PgnJ m 9.04 1.29   8 0.456 0.143 7.2, 10.6 -0.33
AXB12/PgnJ f 11.2 1.65   9 0.55 0.147 8.8, 13.9 0.91
AXB12/PgnJ m 9.69 1.62   8 0.572 0.167 7.7, 12.6 -0.15
AXB13/PgnJ f 5.93 1.14   8 0.404 0.193 5.0, 8.3 -1.37
AXB13/PgnJ m 10.4 6.87   8 2.43 0.659 4.8, 22.0 0.06
AXB15/PgnJ f 7.51 2.46   8 0.871 0.328 5.2, 12.6 -0.68
AXB15/PgnJ m 6.61 1.54   8 0.544 0.233 4.6, 8.7 -1.02
AXB19a/PgnJ f 5.84 1.61   8 0.571 0.277 3.7, 8.6 -1.41
AXB19a/PgnJ m 6.78 3.22   8 1.14 0.475 3.9, 14.3 -0.97
AXB19b/PgnJ f 7.93 1.45   7 0.547 0.182 5.7, 10.0 -0.5
AXB19b/PgnJ m 10.1 2.58   8 0.914 0.255 7.1, 14.1 -0.03
AXB19/PgnJ f 5.65 1.01   8 0.358 0.179 4.4, 7.1 -1.49
AXB19/PgnJ m 5.84 0.83   8 0.293 0.142 4.9, 6.9 -1.24
AXB1/PgnJ f 10.2 4.65   5 2.08 0.456 5.1, 17.8 0.48
AXB1/PgnJ m 9.85 2.92   8 1.03 0.296 7.2, 15.3 -0.1
AXB23/PgnJ f 8.48 2.63   5 1.17 0.31 5.6, 11.8 -0.26
AXB23/PgnJ m 9.54 2.16   7 0.818 0.227 6.5, 13.1 -0.19
AXB24/PgnJ f 8.07 1.37   8 0.484 0.17 6.9, 11.2 -0.44
AXB24/PgnJ m 10.1 3.49   8 1.23 0.345 7.2, 17.8 -0.03
AXB2/PgnJ f 7.64 1.3   8 0.461 0.171 6.1, 9.6 -0.63
AXB2/PgnJ m 5.8 0.952   8 0.336 0.164 4.8, 7.7 -1.25
AXB4/PgnJ f 13.4 3.08   6 1.26 0.23 11.0, 18.3 1.87
AXB4/PgnJ m 11.7 1.54   9 0.514 0.132 9.0, 13.7 0.43
AXB5/PgnJ f 9.56 1.48   7 0.559 0.155 7.4, 11.7 0.2
AXB5/PgnJ m 8.39 1.65   7 0.625 0.197 6.9, 11.5 -0.51
AXB6/PgnJ f 7.34 0.894   7 0.338 0.122 5.7, 8.3 -0.76
AXB6/PgnJ m 10.0 2.43   6 0.992 0.243 7.4, 13.6 -0.06
AXB8/PgnJ f 14.6 3.32   7 1.25 0.226 11.1, 21.6 2.39
AXB8/PgnJ m 16.1 3.27   8 1.16 0.203 10.7, 20.6 1.67
BXA11/PgnJ f 8.65 2.24   8 0.79 0.258 6.0, 12.7 -0.19
BXA11/PgnJ m 7.95 1.31   8 0.464 0.165 6.3, 10.5 -0.64
BXA12/PgnJ f 8.52 2.21   8 0.78 0.259 6.1, 13.0 -0.25
BXA12/PgnJ m 8.39 1.69   8 0.598 0.202 6.3, 10.9 -0.51
BXA13/PgnJ f 12.4 3.46   8 1.22 0.279 7.6, 16.3 1.43
BXA13/PgnJ m 16.0 4.69   8 1.66 0.294 11.5, 25.1 1.65
BXA14/PgnJ f 10.4 1.77   8 0.626 0.17 6.8, 12.2 0.57
BXA14/PgnJ m 21.8 6.33   8 2.24 0.291 9.5, 28.9 3.29
BXA16/PgnJ f 7.6 1.06   8 0.376 0.14 6.0, 9.5 -0.65
BXA16/PgnJ m 7.08 0.667   8 0.236 0.0943 5.6, 7.8 -0.89
BXA1/PgnJ f 6.99 0.772   8 0.273 0.11 6.1, 8.3 -0.91
BXA1/PgnJ m 7.08 0.56   6 0.229 0.0791 6.0, 7.5 -0.89
BXA24/PgnJ f 11.9 2.96   8 1.05 0.249 7.6, 16.0 1.22
BXA24/PgnJ m 10.6 4.4   8 1.55 0.416 6.6, 20.6 0.11
BXA25/PgnJ f 10.3 1.79   8 0.632 0.173 7.6, 13.1 0.52
BXA25/PgnJ m 12.3 2.2   8 0.779 0.179 8.6, 15.0 0.6
BXA26/PgnJ f 6.14 2.32   9 0.772 0.377 3.4, 9.3 -1.28
BXA26/PgnJ m 9.37 3.59   7 1.36 0.383 6.4, 16.1 -0.24
BXA2/PgnJ f 10.8 6.33   8 2.24 0.587 5.3, 23.2 0.74
BXA2/PgnJ m 9.62 2.19   10 0.692 0.227 7.0, 14.3 -0.17
BXA4/PgnJ f 9.53 3.12   8 1.1 0.328 5.4, 15.9 0.19
BXA4/PgnJ m 15.3 6.47   8 2.29 0.423 9.5, 27.9 1.45
BXA7/PgnJ f 7.5 2.72   8 0.961 0.362 4.4, 13.7 -0.69
BXA7/PgnJ m 9.24 1.94   8 0.686 0.21 6.9, 12.1 -0.27
BXA8/PgnJ f 10.5 2.16   16 0.539 0.206 7.2, 15.2 0.61
BXA8/PgnJ m 11.0 3.48   15 0.9 0.318 8.8, 23.3 0.23


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
AXB10/PgnJ f 9.9429 1.0898 12.0854 7.8003
AXB10/PgnJ m 9.0375 1.0194 11.0417 7.0333
AXB12/PgnJ f 11.2444 0.9611 13.134 9.3549
AXB12/PgnJ m 9.6875 1.0194 11.6917 7.6833
AXB13/PgnJ f 5.925 1.0194 7.9292 3.9208
AXB13/PgnJ m 10.425 1.0194 12.4292 8.4208
AXB15/PgnJ f 7.5125 1.0194 9.5167 5.5083
AXB15/PgnJ m 6.6125 1.0194 8.6167 4.6083
AXB19a/PgnJ f 5.8375 1.0194 7.8417 3.8333
AXB19a/PgnJ m 6.775 1.0194 8.7792 4.7708
AXB19b/PgnJ f 7.9286 1.0898 10.0711 5.786
AXB19b/PgnJ m 10.125 1.0194 12.1292 8.1208
AXB19/PgnJ f 5.65 1.0194 7.6542 3.6458
AXB19/PgnJ m 5.8375 1.0194 7.8417 3.8333
AXB1/PgnJ f 10.2 1.2895 12.7351 7.6649
AXB1/PgnJ m 9.85 1.0194 11.8542 7.8458
AXB23/PgnJ f 8.48 1.2895 11.0151 5.9449
AXB23/PgnJ m 9.5429 1.0898 11.6854 7.4003
AXB24/PgnJ f 8.075 1.0194 10.0792 6.0708
AXB24/PgnJ m 10.1125 1.0194 12.1167 8.1083
AXB2/PgnJ f 7.6375 1.0194 9.6417 5.6333
AXB2/PgnJ m 5.8 1.0194 7.8042 3.7958
AXB4/PgnJ f 13.3833 1.1771 15.6976 11.0691
AXB4/PgnJ m 11.6556 0.9611 13.5451 9.766
AXB5/PgnJ f 9.5571 1.0898 11.6997 7.4146
AXB5/PgnJ m 8.3857 1.0898 10.5283 6.2432
AXB6/PgnJ f 7.3429 1.0898 9.4854 5.2003
AXB6/PgnJ m 10.0 1.1771 12.3142 7.6858
AXB8/PgnJ f 14.6429 1.0898 16.7854 12.5003
AXB8/PgnJ m 16.1125 1.0194 18.1167 14.1083
BXA11/PgnJ f 8.65 1.0194 10.6542 6.6458
BXA11/PgnJ m 7.95 1.0194 9.9542 5.9458
BXA12/PgnJ f 8.525 1.0194 10.5292 6.5208
BXA12/PgnJ m 8.3875 1.0194 10.3917 6.3833
BXA13/PgnJ f 12.425 1.0194 14.4292 10.4208
BXA13/PgnJ m 15.9625 1.0194 17.9667 13.9583
BXA14/PgnJ f 10.45 1.0194 12.4542 8.4458
BXA14/PgnJ m 21.775 1.0194 23.7792 19.7708
BXA16/PgnJ f 7.6 1.0194 9.6042 5.5958
BXA16/PgnJ m 7.075 1.0194 9.0792 5.0708
BXA1/PgnJ f 6.9875 1.0194 8.9917 4.9833
BXA1/PgnJ m 7.0833 1.1771 9.3976 4.7691
BXA24/PgnJ f 11.8875 1.0194 13.8917 9.8833
BXA24/PgnJ m 10.5625 1.0194 12.5667 8.5583
BXA25/PgnJ f 10.35 1.0194 12.3542 8.3458
BXA25/PgnJ m 12.3125 1.0194 14.3167 10.3083
BXA26/PgnJ f 6.1444 0.9611 8.034 4.2549
BXA26/PgnJ m 9.3714 1.0898 11.514 7.2289
BXA2/PgnJ f 10.7875 1.0194 12.7917 8.7833
BXA2/PgnJ m 9.62 0.9118 11.4126 7.8274
BXA4/PgnJ f 9.525 1.0194 11.5292 7.5208
BXA4/PgnJ m 15.3125 1.0194 17.3167 13.3083
BXA7/PgnJ f 7.5 1.0194 9.5042 5.4958
BXA7/PgnJ m 9.2375 1.0194 11.2417 7.2333
BXA8/PgnJ f 10.4938 0.7208 11.9109 9.0766
BXA8/PgnJ m 10.9733 0.7445 12.437 9.5097


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
AXB10/PgnJ both 9.4902 0.7461 10.9571 8.0233
AXB12/PgnJ both 10.466 0.7005 11.8432 9.0887
AXB13/PgnJ both 8.175 0.7208 9.5922 6.7578
AXB15/PgnJ both 7.0625 0.7208 8.4797 5.6453
AXB19a/PgnJ both 6.3063 0.7208 7.7234 4.8891
AXB19b/PgnJ both 9.0268 0.7461 10.4937 7.5599
AXB19/PgnJ both 5.7438 0.7208 7.1609 4.3266
AXB1/PgnJ both 10.025 0.8219 11.6408 8.4092
AXB23/PgnJ both 9.0114 0.8441 10.6711 7.3518
AXB24/PgnJ both 9.0937 0.7208 10.5109 7.6766
AXB2/PgnJ both 6.7187 0.7208 8.1359 5.3016
AXB4/PgnJ both 12.5194 0.7598 14.0133 11.0256
AXB5/PgnJ both 8.9714 0.7706 10.4864 7.4564
AXB6/PgnJ both 8.6714 0.8021 10.2483 7.0945
AXB8/PgnJ both 15.3777 0.7461 16.8446 13.9108
BXA11/PgnJ both 8.3 0.7208 9.7172 6.8828
BXA12/PgnJ both 8.4562 0.7208 9.8734 7.0391
BXA13/PgnJ both 14.1937 0.7208 15.6109 12.7766
BXA14/PgnJ both 16.1125 0.7208 17.5297 14.6953
BXA16/PgnJ both 7.3375 0.7208 8.7547 5.9203
BXA1/PgnJ both 7.0354 0.7786 8.5661 5.5047
BXA24/PgnJ both 11.225 0.7208 12.6422 9.8078
BXA25/PgnJ both 11.3313 0.7208 12.7484 9.9141
BXA26/PgnJ both 7.7579 0.7265 9.1863 6.3296
BXA2/PgnJ both 10.2037 0.6838 11.5482 8.8593
BXA4/PgnJ both 12.4188 0.7208 13.8359 11.0016
BXA7/PgnJ both 8.3687 0.7208 9.7859 6.9516
BXA8/PgnJ both 10.7335 0.5181 11.7522 9.7149




  GWAS USING LINEAR MIXED MODELS

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