Project measure / variable:   Evsikova1   food_adj_start

ID, description, units MPD:24766   food_adj_start   food intake adjusted for body weight   [g/kg]  test start  
Data set, strains Evsikova1   inbred   14 strains     sex: both     age: 26wks
Procedure intake monitoring
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

Evsikova1 - food intake adjusted for body weight test start



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains12 strains
Mean of the strain means112   g/kg 98.3   g/kg
Median of the strain means106   g/kg 105   g/kg
SD of the strain means± 34.7 ± 26.0
Coefficient of variation (CV)0.311 0.265
Min–max range of strain means55.9   –   191   g/kg 45.4   –   126   g/kg
Mean sample size per strain6.3   mice 5.7   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 500.6629 500.6629 0.4052 0.526
strain 8 20960.7325 2620.0916 2.1203 0.0412
sex:strain 8 17164.3888 2145.5486 1.7363 0.1
Residuals 94 116155.0955 1235.6925


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 99.3 12.1   7 4.56 0.121 84.4, 120.0 -0.35
129S1/SvImJ m 106.0 39.1   8 13.8 0.37 60.3, 154.0 0.3
A/J f 119.0 75.4   7 28.5 0.633 54.6, 270.0 0.21
A/J m 112.0 36.6   2   25.8 0.326 86.3, 138.0 0.53
AKR/J f 55.9 24.3   4 12.1 0.434 23.4, 75.5 -1.61
AKR/J m 45.4 0.0   1   0.0 0.0 45.4, 45.4 -2.03
BALB/cByJ f 144.0 34.0   8 12.0 0.236 115.0, 223.0 0.93
BALB/cByJ m 121.0 34.4   6 14.0 0.284 52.9, 147.0 0.87
BTBR T+ Itpr3tf/J f 87.9 25.0   3 14.5 0.285 64.1, 114.0 -0.68
BTBR T+ Itpr3tf/J m 104.0 34.5   4 17.2 0.333 55.0, 133.0 0.22
BUB/BnJ f 108.0 49.1   7 18.6 0.456 41.6, 175.0 -0.1
BUB/BnJ m 126.0 21.6   6 8.82 0.171 91.5, 143.0 1.06
C3H/HeJ m 94.5 19.1   8 6.74 0.202 80.0, 139.0 -0.15
C57BL/10J f 108.0 19.0   7 7.19 0.176 85.6, 141.0 -0.1
C57BL/6J f 98.1 29.8   8 10.6 0.304 58.9, 145.0 -0.39
C57BL/6J m 125.0 35.6   6 14.5 0.284 70.7, 165.0 1.03
C57BLKS/J f 105.0 25.6   5 11.5 0.243 81.0, 138.0 -0.19
C57BLKS/J m 120.0 20.1   12 5.8 0.167 79.6, 147.0 0.83
C57BR/cdJ f 141.0 20.9   8 7.38 0.148 107.0, 161.0 0.85
C57BR/cdJ m 88.5 36.4   7 13.8 0.412 30.2, 133.0 -0.38
C57L/J f 82.0 19.2   3 11.1 0.234 68.3, 104.0 -0.85
C57L/J m 72.4 23.2   5 10.4 0.32 48.8, 103.0 -1.0
CAST/EiJ f 191.0 41.7   7 15.8 0.218 129.0, 240.0 2.29
CBA/J m 64.8 19.6   5 8.77 0.303 38.3, 91.9 -1.29


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 99.3143 13.2864 125.6947 72.9339
129S1/SvImJ m 105.575 12.4283 130.2516 80.8984
A/J f 119.1 13.2864 145.4804 92.7196
A/J m 112.15 24.8565 161.5032 62.7968
BALB/cByJ f 144.125 12.4283 168.8016 119.4484
BALB/cByJ m 121.3167 14.3509 149.8107 92.8226
BTBR T+ Itpr3tf/J f 87.9 20.2953 128.1967 47.6033
BTBR T+ Itpr3tf/J m 103.5 17.5762 138.398 68.602
BUB/BnJ f 107.5714 13.2864 133.9518 81.191
BUB/BnJ m 126.0833 14.3509 154.5774 97.5893
C57BL/6J f 98.075 12.4283 122.7516 73.3984
C57BL/6J m 125.2833 14.3509 153.7774 96.7893
C57BLKS/J f 105.32 15.7206 136.5337 74.1063
C57BLKS/J m 120.3833 10.1476 140.5317 100.235
C57BR/cdJ f 140.75 12.4283 165.4266 116.0734
C57BR/cdJ m 88.4714 13.2864 114.8518 62.091
C57L/J f 82.0333 20.2953 122.33 41.7366
C57L/J m 72.44 15.7206 103.6537 41.2263


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 102.4446 9.0966 120.5061 84.3832
A/J both 115.625 14.0923 143.6056 87.6444
BALB/cByJ both 132.7208 9.4922 151.5679 113.8738
BTBR T+ Itpr3tf/J both 95.7 13.4241 122.3538 69.0462
BUB/BnJ both 116.8274 9.7785 136.2428 97.4119
C57BL/6J both 111.6792 9.4922 130.5262 92.8321
C57BLKS/J both 112.8517 9.3557 131.4275 94.2758
C57BR/cdJ both 114.6107 9.0966 132.6721 96.5493
C57L/J both 77.2367 12.8358 102.7225 51.7508




  GWAS USING LINEAR MIXED MODELS