Project measure / variable:   Auwerx2   bw_15wks_HFD

ID, description, units MPD:114546   bw_15wks_HFD   body weight at 15 wks of age   [g]  HFD  
Data set, strains Auwerx2   inbred w/CC8   9 strains     sex: both     age: 15wks
Procedure body weight
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 - body weight at 15 wks of age HFD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains9 strains
Mean of the strain means27.701   g 33.507   g
Median of the strain means23.273   g 32.186   g
SD of the strain means± 16.519 ± 15.509
Coefficient of variation (CV)0.5963 0.4629
Min–max range of strain means13.253   –   68.22   g 16.042   –   68.75   g
Mean sample size per strain4.4   mice 3.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 670.854 670.854 164.7052 < 0.0001
strain 7 3455.5037 493.6434 121.1972 < 0.0001
sex:strain 7 203.4879 29.0697 7.1371 < 0.0001
Residuals 52 211.7991 4.0731


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 22.486 0.66067   5 0.29546 0.0294 21.74, 23.4 -0.32
129S1/SvImJ m 32.565 2.0435   2   1.445 0.0628 31.12, 34.01 -0.06
A/J f 22.337 1.4307   4 0.71535 0.064 21.4, 24.47 -0.32
A/J m 27.9 1.0009   5 0.44763 0.0359 26.5, 29.1 -0.36
C57BL/6J f 23.273 1.9111   3 1.1034 0.0821 21.79, 25.43 -0.27
C57BL/6J m 36.76 2.2027   4 1.1014 0.0599 34.21, 39.02 0.21
CAST/EiJ f 13.284 0.92942   5 0.41565 0.07 12.28, 14.69 -0.87
CAST/EiJ m 17.32 0.89095   2   0.63 0.0514 16.69, 17.95 -1.04
DBA/2J f 32.626 2.5605   5 1.1451 0.0785 30.38, 35.42 0.3
DBA/2J m 40.762 2.1406   5 0.95732 0.0525 38.39, 44.19 0.47
NOD/ShiLtJ f 30.347 3.6604   6 1.4944 0.1206 25.93, 36.11 0.16
NOD/ShiLtJ m 32.186 1.488   5 0.66546 0.0462 30.8, 34.52 -0.09
NZO/HlLtJ f 68.22 3.2619   5 1.4588 0.0478 65.0, 73.01 2.45
NZO/HlLtJ m 68.75 0.0   1   0.0 0.0 68.75, 68.75 2.27
PWK/PhJ f 23.485 2.2493   4 1.1247 0.0958 20.74, 26.17 -0.26
PWK/PhJ m 29.276 2.7063   5 1.2103 0.0924 25.63, 33.25 -0.27
WSB/EiJ f 13.253 0.81525   3 0.47069 0.0615 12.45, 14.08 -0.87
WSB/EiJ m 16.042 0.92348   5 0.41299 0.0576 15.12, 17.18 -1.13


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 22.486 0.9025584398 24.2971160095 20.6748839905
129S1/SvImJ m 32.565 1.4270701955 35.4286258484 29.7013741516
A/J f 22.3375 1.0090910125 24.3623892562 20.3126107438
A/J m 27.9 0.9025584398 29.7111160095 26.0888839905
C57BL/6J f 23.2733333333 1.1651979354 25.6114740476 20.935192619
C57BL/6J m 36.76 1.0090910125 38.7848892562 34.7351107438
CAST/EiJ f 13.284 0.9025584398 15.0951160095 11.4728839905
CAST/EiJ m 17.32 1.4270701955 20.1836258484 14.4563741516
DBA/2J f 32.626 0.9025584398 34.4371160095 30.8148839905
DBA/2J m 40.762 0.9025584398 42.5731160095 38.9508839905
NOD/ShiLtJ f 30.3466666667 0.8239193615 31.9999818211 28.6933515122
NOD/ShiLtJ m 32.186 0.9025584398 33.9971160095 30.3748839905
PWK/PhJ f 23.485 1.0090910125 25.5098892562 21.4601107438
PWK/PhJ m 29.276 0.9025584398 31.0871160095 27.4648839905
WSB/EiJ f 13.2533333333 1.1651979354 15.5914740476 10.915192619
WSB/EiJ m 16.042 0.9025584398 17.8531160095 14.2308839905


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 27.5255 0.8442661133 29.2196438988 25.8313561012
A/J both 25.11875 0.6769188298 26.4770870071 23.7604129929
C57BL/6J both 30.0166666667 0.7707059913 31.5632013818 28.4701319516
CAST/EiJ both 15.302 0.8442661133 16.9961438988 13.6078561012
DBA/2J both 36.694 0.6382051932 37.9746524118 35.4133475882
NOD/ShiLtJ both 31.2663333333 0.6110349523 32.4924646681 30.0402019986
PWK/PhJ both 26.3805 0.6769188298 27.7388370071 25.0221629929
WSB/EiJ both 14.6476666667 0.7369358802 16.1264366961 13.1688966372




  GWAS USING LINEAR MIXED MODELS