Project measure / variable:   Bodnar1   chow0

ID, description, units MPD:22601   chow0   daily chow intake with sucrose in drinking water   [g]  baseline  
sucrose study
Data set, strains Bodnar1   inbred   11 strains     sex: m     age: 13-17wks
Procedure intake monitoring
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  STRAIN COMPARISON PLOT
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Bodnar1 - daily chow intake with sucrose in drinking water baseline



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested11 strains
Mean of the strain means4.40   g
Median of the strain means4.38   g
SD of the strain means± 0.675
Coefficient of variation (CV)0.153
Min–max range of strain means3.54   –   5.79   g
Mean sample size per strain10.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 10 62.2761 6.2276 13.4615 < 0.0001
Residuals 108 49.9632 0.4626


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/J m 4.38 0.818   10 0.259 0.187 2.6, 5.3 -0.03
AKR/J m 4.55 0.384   10 0.121 0.0843 3.8, 5.3 0.22
BALB/cJ m 5.36 0.677   10 0.214 0.126 4.1, 6.4 1.42
C3H/HeJ m 4.19 0.441   10 0.139 0.105 3.6, 5.2 -0.31
C57BL/10J m 3.74 0.43   10 0.136 0.115 2.7, 4.2 -0.98
C57BL/6J m 4.08 0.355   10 0.112 0.0871 3.3, 4.5 -0.47
CBA/J m 3.82 0.329   10 0.104 0.0862 3.3, 4.3 -0.86
Crl:CD-1(ICR) m 5.79 1.13   20 0.252 0.195 4.0, 7.3 2.06
DBA/2J m 4.39 0.601   10 0.19 0.137 3.6, 5.3 -0.01
SJL/J m 3.54 0.637   9 0.212 0.18 2.4, 4.3 -1.27
SWR/J m 4.56 0.515   10 0.163 0.113 4.1, 5.3 0.24


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
A/J m 4.38 0.2151 4.8063 3.9537
AKR/J m 4.55 0.2151 4.9763 4.1237
BALB/cJ m 5.36 0.2151 5.7863 4.9337
C3H/HeJ m 4.19 0.2151 4.6163 3.7637
C57BL/10J m 3.74 0.2151 4.1663 3.3137
C57BL/6J m 4.08 0.2151 4.5063 3.6537
CBA/J m 3.82 0.2151 4.2463 3.3937
Crl:CD-1(ICR) m 5.79 0.1521 6.0915 5.4885
DBA/2J m 4.39 0.2151 4.8163 3.9637
SJL/J m 3.5444 0.2267 3.9938 3.095
SWR/J m 4.56 0.2151 4.9863 4.1337




  GWAS USING LINEAR MIXED MODELS