Project measure / variable:   Auwerx2   ogtt_gluc_t30_HFD

ID, description, units MPD:114588   ogtt_gluc_t30_HFD   glucose, glucose tolerance test (20% glucose oral gavage, overnight fast), after 30 min   [mg/dL]  HFD  
Data set, strains Auwerx2   inbred w/CC8   8 strains     sex: both     age: 16wks
Procedure glucose tolerance
Ontology mappings

  •   Or, add this measure to your collection.
       
  •     no folder
  •     put it in new folder  

  STRAIN COMPARISON PLOT
Dimensions Width:   px    Height:   px
Download Plot   
Visualization Options

Auwerx2 - glucose, glucose tolerance test (20% glucose oral gavage, overnight fast), after 30 min HFD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means296.9   mg/dL 322.0   mg/dL
Median of the strain means279.1   mg/dL 323.8   mg/dL
SD of the strain means± 74.88 ± 74.31
Coefficient of variation (CV)0.2522 0.2307
Min–max range of strain means195.0   –   422.7   mg/dL 225.2   –   453.0   mg/dL
Mean sample size per strain4.9   mice 4.1   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 4794.549 4794.549 0.7796 0.381
strain 7 320345.7812 45763.683 7.4414 < 0.0001
sex:strain 7 26480.2532 3782.8933 0.6151 0.7411
Residuals 56 344394.9167 6149.9092


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 347.4 39.208   5 17.535 0.1129 303.0, 407.0 0.67
129S1/SvImJ m 366.5 65.76   2   46.5 0.1794 320.0, 413.0 0.6
A/J f 272.0 31.059   4 15.53 0.1142 245.0, 312.0 -0.33
A/J m 327.8 121.4   5 54.27 0.3702 210.0, 468.0 0.08
C57BL/6J f 422.7 29.939   3 17.285 0.0708 402.0, 457.0 1.68
C57BL/6J m 453.0 18.019   4 9.0093 0.0398 434.0, 477.0 1.76
CAST/EiJ f 195.0 33.189   5 14.843 0.1702 157.0, 247.0 -1.36
CAST/EiJ m 291.5 10.607   2   7.5 0.0364 284.0, 299.0 -0.41
DBA/2J f 222.8 42.246   5 18.893 0.1896 156.0, 270.0 -0.99
DBA/2J m 225.2 75.41   5 33.723 0.3348 121.0, 286.0 -1.3
NOD/ShiLtJ f 357.3 135.7   10 42.904 0.3797 193.0, 600.0 0.81
NOD/ShiLtJ m 358.8 75.76   5 33.881 0.2112 274.0, 453.0 0.49
PWK/PhJ f 286.2 35.397   4 17.698 0.1237 243.0, 329.0 -0.14
PWK/PhJ m 233.6 24.491   5 10.953 0.1048 211.0, 273.0 -1.19
WSB/EiJ f 272.0 58.08   3 33.531 0.2135 236.0, 339.0 -0.33
WSB/EiJ m 319.8 91.41   5 40.88 0.2858 174.0, 409.0 -0.03


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 347.4 35.0710970065 417.655849578 277.144150422
129S1/SvImJ m 366.5 55.4522732906 477.5842518084 255.4157481916
A/J f 272.0 39.210678476 350.5484277368 193.4515722632
A/J m 327.8 35.0710970065 398.055849578 257.544150422
C57BL/6J f 422.6666666667 45.2765915464 513.3665784631 331.9667548702
C57BL/6J m 453.0 39.210678476 531.5484277368 374.4515722632
CAST/EiJ f 195.0 35.0710970065 265.255849578 124.744150422
CAST/EiJ m 291.5 55.4522732906 402.5842518084 180.4157481916
DBA/2J f 222.8 35.0710970065 293.055849578 152.544150422
DBA/2J m 225.2 35.0710970065 295.455849578 154.944150422
NOD/ShiLtJ f 357.3 24.7990105169 406.9783876547 307.6216123453
NOD/ShiLtJ m 358.8 35.0710970065 429.055849578 288.544150422
PWK/PhJ f 286.25 39.210678476 364.7984277368 207.7015722632
PWK/PhJ m 233.6 35.0710970065 303.855849578 163.344150422
WSB/EiJ f 272.0 45.2765915464 362.6999117965 181.3000882035
WSB/EiJ m 319.8 35.0710970065 390.055849578 249.544150422


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 356.95 32.8060072941 422.6683296344 291.2316703656
A/J both 299.9 26.3033227549 352.5918871835 247.2081128165
C57BL/6J both 437.8333333333 29.9476503611 497.8256859706 377.8409806961
CAST/EiJ both 243.25 32.8060072941 308.9683296344 177.5316703656
DBA/2J both 224.0 24.7990105169 273.6783876547 174.3216123453
NOD/ShiLtJ both 358.05 21.4765730964 401.072745728 315.027254272
PWK/PhJ both 259.925 26.3033227549 312.6168871835 207.2331128165
WSB/EiJ both 295.9 28.6354307952 353.2636609706 238.5363390294




  GWAS USING LINEAR MIXED MODELS