Project measure / variable:   Morgan1   bwchg_12_ctrl

ID, description, units MPD:52615   bwchg_12_ctrl   percent change in body weight, age 12wks vs. 8wks   [%]  control  
high-fat diet and olanzapine study
Data set, strains Morgan1   inbred w/CC8   9 strains     sex: f     age: 12wks
Procedure body weight
Ontology mappings

  STRAIN COMPARISON PLOT
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Morgan1 - percent change in body weight, age 12wks vs. 8wks control



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested9 strains
Mean of the strain means117   %
Median of the strain means112   %
SD of the strain means± 13.8
Coefficient of variation (CV)0.118
Min–max range of strain means100   –   146   %
Mean sample size per strain4.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 8 6066.2173 758.2772 10.6991 < 0.0001
Residuals 26 1842.6942 70.8729


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
129S1/SvImJ f 107.0 6.84   4 3.42 0.0637 100.0, 113.0 -0.71
A/J f 113.0 2.91   4 1.45 0.0257 110.0, 117.0 -0.27
C57BL/6J f 112.0 9.19   4 4.59 0.0822 98.4, 119.0 -0.35
CAST/EiJ f 110.0 3.67   4 1.84 0.0334 106.0, 115.0 -0.49
MRL/MpJ f 124.0 4.97   3 2.87 0.04 121.0, 130.0 0.52
NOD/ShiLtJ f 100.0 11.7   4 5.86 0.117 89.6, 117.0 -1.21
NZO/HlLtJ f 146.0 7.76   4 3.88 0.053 138.0, 155.0 2.12
PWK/PhJ f 128.0 15.2   4 7.61 0.119 119.0, 150.0 0.81
WSB/EiJ f 111.0 3.89   4 1.95 0.035 106.0, 115.0 -0.42


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 107.425 4.2093 116.0773 98.7727
A/J f 113.1 4.2093 121.7523 104.4477
C57BL/6J f 111.75 4.2093 120.4023 103.0977
CAST/EiJ f 110.175 4.2093 118.8273 101.5227
MRL/MpJ f 124.0667 4.8605 134.0575 114.0758
NOD/ShiLtJ f 100.2 4.2093 108.8523 91.5477
NZO/HlLtJ f 146.475 4.2093 155.1273 137.8227
PWK/PhJ f 127.625 4.2093 136.2773 118.9727
WSB/EiJ f 111.075 4.2093 119.7273 102.4227




  GWAS USING LINEAR MIXED MODELS