Project measure / variable:   Schughart2   survival_days

ID, description, units MPD:49606   survival_days   survival, post-infection   [d]  
influenza A (H1N1) virus study
Data set, strains Schughart2   BXD w/par   56 strains     sex: f     age: 9-18wks
Procedure health assessment
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  STRAIN COMPARISON PLOT
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Schughart2 - survival, post-infection



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested56 strains
Mean of the strain means9.69   d
Median of the strain means10.4   d
SD of the strain means± 2.24
Coefficient of variation (CV)0.232
Min–max range of strain means5.75   –   12.0   d
Mean sample size per strain6.4   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 55 2193.1083 39.8747 22.5111 < 0.0001
Residuals 355 628.8236 1.7713


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
B6D2F1/J f 11.1 2.1   29 0.391 0.19 6.0, 12.0 0.63
BXD100/RwwJ f 12.0 0.0   5 0.0 0.0 12.0, 12.0 1.03
BXD102/RwwJ f 9.2 2.59   5 1.16 0.281 7.0, 12.0 -0.22
BXD11/TyJ f 12.0 0.0   8 0.0 0.0 12.0, 12.0 1.03
BXD12/TyJ f 7.0 0.0   3 0.0 0.0 7.0, 7.0 -1.2
BXD13/TyJ f 12.0 0.0   6 0.0 0.0 12.0, 12.0 1.03
BXD14/TyJ f 8.2 0.447   5 0.2 0.0545 8.0, 9.0 -0.66
BXD15/TyJ f 7.0 0.0   5 0.0 0.0 7.0, 7.0 -1.2
BXD16/TyJ f 7.8 0.837   5 0.374 0.107 7.0, 9.0 -0.84
BXD18/TyJ f 6.4 0.894   5 0.4 0.14 5.0, 7.0 -1.47
BXD19/TyJ f 9.8 1.48   5 0.663 0.151 8.0, 12.0 0.05
BXD1/TyJ f 12.0 0.0   5 0.0 0.0 12.0, 12.0 1.03
BXD20/TyJ f 11.8 0.447   5 0.2 0.0379 11.0, 12.0 0.94
BXD21/TyJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD23/TyJ f 11.6 1.33   9 0.444 0.115 8.0, 12.0 0.85
BXD28/TyJ f 5.75 0.957   4 0.479 0.167 5.0, 7.0 -1.76
BXD2/TyJ f 10.0 2.74   5 1.22 0.274 7.0, 12.0 0.14
BXD31/TyJ f 8.0 0.577   7 0.218 0.0722 7.0, 9.0 -0.75
BXD32/TyJ f 10.4 1.99   7 0.751 0.191 8.0, 12.0 0.32
BXD34/TyJ f 6.67 0.577   3 0.333 0.0866 6.0, 7.0 -1.35
BXD36/TyJ f 6.8 0.447   5 0.2 0.0658 6.0, 7.0 -1.29
BXD38/TyJ f 6.8 0.447   5 0.2 0.0658 6.0, 7.0 -1.29
BXD39/TyJ f 12.0 0.0   8 0.0 0.0 12.0, 12.0 1.03
BXD40/TyJ f 8.33 2.39   12 0.689 0.286 6.0, 12.0 -0.61
BXD42/TyJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD43/RwwJ f 12.0 0.0   7 0.0 0.0 12.0, 12.0 1.03
BXD44/RwwJ f 7.2 0.447   5 0.2 0.0621 7.0, 8.0 -1.11
BXD48a/RwwJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD51/RwwJ f 6.5 0.837   6 0.342 0.129 6.0, 8.0 -1.42
BXD55/RwwJ f 9.6 1.34   5 0.6 0.14 9.0, 12.0 -0.04
BXD56/RwwJ f 8.0 2.24   5 1.0 0.28 7.0, 12.0 -0.75
BXD5/TyJ f 9.75 2.63   4 1.31 0.27 7.0, 12.0 0.03
BXD60/RwwJ f 11.2 1.79   5 0.8 0.16 8.0, 12.0 0.67
BXD61/RwwJ f 11.3 1.63   6 0.667 0.144 8.0, 12.0 0.72
BXD62/RwwJ f 7.2 2.68   5 1.2 0.373 6.0, 12.0 -1.11
BXD65a/RwwJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD65b/RwwJ f 11.4 1.34   5 0.6 0.118 9.0, 12.0 0.76
BXD65/RwwJ f 10.4 1.85   8 0.653 0.178 8.0, 12.0 0.32
BXD67/RwwJ f 11.2 1.79   5 0.8 0.16 8.0, 12.0 0.67
BXD69/RwwJ f 11.2 1.79   5 0.8 0.16 8.0, 12.0 0.67
BXD70/RwwJ f 6.6 0.548   5 0.245 0.083 6.0, 7.0 -1.38
BXD71/RwwJ f 11.2 1.79   5 0.8 0.16 8.0, 12.0 0.67
BXD73a/RwwJ f 6.5 0.577   4 0.289 0.0888 6.0, 7.0 -1.42
BXD73b/RwwJ f 6.4 0.548   5 0.245 0.0856 6.0, 7.0 -1.47
BXD73/RwwJ f 8.2 2.17   5 0.97 0.264 7.0, 12.0 -0.66
BXD74/RwwJ f 7.8 0.447   5 0.2 0.0573 7.0, 8.0 -0.84
BXD75/RwwJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD79/RwwJ f 12.0 0.0   5 0.0 0.0 12.0, 12.0 1.03
BXD84/RwwJ f 11.2 1.79   5 0.8 0.16 8.0, 12.0 0.67
BXD87/RwwJ f 12.0 0.0   5 0.0 0.0 12.0, 12.0 1.03
BXD89/RwwJ f 6.75 0.5   4 0.25 0.0741 6.0, 7.0 -1.31
BXD8/TyJ f 12.0 0.0   8 0.0 0.0 12.0, 12.0 1.03
BXD98/RwwJ f 12.0 0.0   4 0.0 0.0 12.0, 12.0 1.03
BXD9/TyJ f 12.0 0.0   5 0.0 0.0 12.0, 12.0 1.03
C57BL/6J f 12.0 0.0   39 0.0 0.0 12.0, 12.0 1.03
DBA/2J f 6.47 1.37   60 0.177 0.212 4.0, 12.0 -1.44


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
B6D2F1/J f 11.069 0.2471 11.555 10.5829
BXD100/RwwJ f 12.0 0.5952 13.1706 10.8294
BXD102/RwwJ f 9.2 0.5952 10.3706 8.0294
BXD11/TyJ f 12.0 0.4705 12.9254 11.0746
BXD12/TyJ f 7.0 0.7684 8.5112 5.4888
BXD13/TyJ f 12.0 0.5433 13.0686 10.9314
BXD14/TyJ f 8.2 0.5952 9.3706 7.0294
BXD15/TyJ f 7.0 0.5952 8.1706 5.8294
BXD16/TyJ f 7.8 0.5952 8.9706 6.6294
BXD18/TyJ f 6.4 0.5952 7.5706 5.2294
BXD19/TyJ f 9.8 0.5952 10.9706 8.6294
BXD1/TyJ f 12.0 0.5952 13.1706 10.8294
BXD20/TyJ f 11.8 0.5952 12.9706 10.6294
BXD21/TyJ f 12.0 0.6655 13.3087 10.6913
BXD23/TyJ f 11.5556 0.4436 12.428 10.6831
BXD28/TyJ f 5.75 0.6655 7.0587 4.4413
BXD2/TyJ f 10.0 0.5952 11.1706 8.8294
BXD31/TyJ f 8.0 0.503 8.9893 7.0107
BXD32/TyJ f 10.4286 0.503 11.4179 9.4393
BXD34/TyJ f 6.6667 0.7684 8.1779 5.1555
BXD36/TyJ f 6.8 0.5952 7.9706 5.6294
BXD38/TyJ f 6.8 0.5952 7.9706 5.6294
BXD39/TyJ f 12.0 0.4705 12.9254 11.0746
BXD40/TyJ f 8.3333 0.3842 9.0889 7.5777
BXD42/TyJ f 12.0 0.6655 13.3087 10.6913
BXD43/RwwJ f 12.0 0.503 12.9893 11.0107
BXD44/RwwJ f 7.2 0.5952 8.3706 6.0294
BXD48a/RwwJ f 12.0 0.6655 13.3087 10.6913
BXD51/RwwJ f 6.5 0.5433 7.5686 5.4314
BXD55/RwwJ f 9.6 0.5952 10.7706 8.4294
BXD56/RwwJ f 8.0 0.5952 9.1706 6.8294
BXD5/TyJ f 9.75 0.6655 11.0587 8.4413
BXD60/RwwJ f 11.2 0.5952 12.3706 10.0294
BXD61/RwwJ f 11.3333 0.5433 12.4019 10.2648
BXD62/RwwJ f 7.2 0.5952 8.3706 6.0294
BXD65a/RwwJ f 12.0 0.6655 13.3087 10.6913
BXD65b/RwwJ f 11.4 0.5952 12.5706 10.2294
BXD65/RwwJ f 10.375 0.4705 11.3004 9.4496
BXD67/RwwJ f 11.2 0.5952 12.3706 10.0294
BXD69/RwwJ f 11.2 0.5952 12.3706 10.0294
BXD70/RwwJ f 6.6 0.5952 7.7706 5.4294
BXD71/RwwJ f 11.2 0.5952 12.3706 10.0294
BXD73a/RwwJ f 6.5 0.6655 7.8087 5.1913
BXD73b/RwwJ f 6.4 0.5952 7.5706 5.2294
BXD73/RwwJ f 8.2 0.5952 9.3706 7.0294
BXD74/RwwJ f 7.8 0.5952 8.9706 6.6294
BXD75/RwwJ f 12.0 0.6655 13.3087 10.6913
BXD79/RwwJ f 12.0 0.5952 13.1706 10.8294
BXD84/RwwJ f 11.2 0.5952 12.3706 10.0294
BXD87/RwwJ f 12.0 0.5952 13.1706 10.8294
BXD89/RwwJ f 6.75 0.6655 8.0587 5.4413
BXD8/TyJ f 12.0 0.4705 12.9254 11.0746
BXD98/RwwJ f 12.0 0.6655 13.3087 10.6913
BXD9/TyJ f 12.0 0.5952 13.1706 10.8294
C57BL/6J f 12.0 0.2131 12.4191 11.5809
DBA/2J f 6.4667 0.1718 6.8046 6.1288




  GWAS USING LINEAR MIXED MODELS