Project measure / variable:   Schughart1   pctBW_d3

ID, description, units MPD:39302   pctBW_d3   body weight as percent of baseline   [%]  post-infection day 3  
influenza A (H1N1) virus study
Data set, strains Schughart1   inbred   9 strains     sex: both     age: 10-12wks
Procedure body weight
Ontology mappings

  STRAIN COMPARISON PLOT
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Schughart1 - body weight as percent of baseline post-infection day 3



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested9 strains
Mean of the strain means91.6   %
Median of the strain means92.9   %
SD of the strain means± 5.49
Coefficient of variation (CV)0.0599
Min–max range of strain means81.6   –   98.0   %
Mean sample size per strain10.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 1.8455 1.8455 0.1646 0.6864
strain 1 4187.9391 4187.9391 373.466 < 0.0001
sex:strain 1 2.2941 2.2941 0.2046 0.6526
Residuals 62 695.2499 11.2137


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
A/JOlaHsd f 89.3 2.04   9 0.681 0.0229 87.0, 93.4 -0.42
B6D2F1/J f 92.9 2.68   11 0.807 0.0288 86.4, 97.2 0.23
BALB/cByJ f 92.8 2.72   10 0.86 0.0293 88.0, 96.1 0.22
C57BL/6J f 97.8 2.98   22 0.636 0.0305 91.4, 105.0 1.13
CBA/J f 93.3 3.43   9 1.14 0.0367 88.2, 97.3 0.31
DBA/2J f 81.6 4.61   20 1.03 0.0565 74.6, 89.9 -1.82
DBA/2NHsd f 84.9 1.98   7 0.747 0.0233 82.1, 87.2 -1.22
FVB/NJ f 98.0 3.81   10 1.21 0.0389 93.8, 105.0 1.16
SJL/JOrlCrl f 93.9 3.12   7 1.18 0.0333 89.0, 98.5 0.42


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
C57BL/6J f 97.7955 0.7139 99.2226 96.3683
C57BL/6J m 98.1417 0.9667 100.074 96.2093
DBA/2J f 81.57 0.7488 83.0668 80.0732
DBA/2J m 82.6917 0.9667 84.624 80.7593


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
C57BL/6J both 97.9686 0.6009 99.1697 96.7674
DBA/2J both 82.1308 0.6114 83.353 80.9087




  GWAS USING LINEAR MIXED MODELS