Project measure / variable:   Rhodes1   BW_end_control

ID, description, units MPD:34609   BW_end_control   final body weight   [g]  control  
exercise study
Data set, strains Rhodes1   inbred   12 strains     sex: both     age: 15wks
Procedure body weight
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  STRAIN COMPARISON PLOT
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Rhodes1 - final body weight control



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains12 strains
Mean of the strain means21.5   g 25.8   g
Median of the strain means21.6   g 26.4   g
SD of the strain means± 4.03 ± 4.55
Coefficient of variation (CV)0.187 0.176
Min–max range of strain means12.4   –   27.5   g 14.0   –   32.5   g
Mean sample size per strain4.0   mice 4.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 447.2067 447.2067 93.7076 < 0.0001
strain 11 1577.5083 143.4098 30.0501 < 0.0001
sex:strain 11 42.2933 3.8448 0.8056 0.6341
Residuals 72 343.61 4.7724


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 20.8 2.19   4 1.09 0.105 18.9, 23.9 -0.18
129S1/SvImJ m 26.0 0.891   4 0.445 0.0343 25.3, 27.3 0.03
AKR/J f 25.6 2.94   4 1.47 0.115 22.0, 28.8 1.01
AKR/J m 28.8 3.29   4 1.65 0.114 26.6, 33.7 0.65
B6129SF1/J f 22.0 0.906   4 0.453 0.0412 21.0, 23.2 0.11
B6129SF1/J m 27.0 1.59   4 0.796 0.0589 26.0, 29.4 0.25
B6D2F1/J f 22.6 0.933   4 0.466 0.0414 21.7, 23.5 0.26
B6D2F1/J m 28.1 2.68   4 1.34 0.0953 25.4, 30.5 0.49
BALB/cByJ f 22.6 0.663   4 0.332 0.0294 21.7, 23.1 0.26
BALB/cByJ m 26.5 2.52   4 1.26 0.0951 22.7, 28.1 0.14
BTBR T+ Itpr3tf/J f 27.5 1.42   4 0.712 0.0519 25.7, 28.8 1.48
BTBR T+ Itpr3tf/J m 32.5 1.49   4 0.744 0.0458 30.8, 34.3 1.46
C57BL/10J f 20.2 3.37   4 1.68 0.167 16.9, 23.8 -0.33
C57BL/10J m 26.1 2.11   4 1.06 0.0812 24.3, 28.9 0.05
C57BL/6J f 20.7 0.997   4 0.498 0.0481 19.4, 21.7 -0.21
C57BL/6J m 26.4 0.843   4 0.421 0.0319 25.5, 27.3 0.12
CAST/EiJ f 12.4 0.1   4 0.05 0.00803 12.4, 12.6 -2.27
CAST/EiJ m 14.0 1.07   4 0.537 0.0767 13.3, 15.6 -2.6
DBA/2J f 21.2 4.26   4 2.13 0.201 17.8, 27.3 -0.08
DBA/2J m 24.1 3.58   4 1.79 0.149 20.2, 28.8 -0.38
NOD/ShiLtJ f 25.8 3.76   4 1.88 0.146 21.3, 30.1 1.06
NOD/ShiLtJ m 28.8 1.23   4 0.616 0.0428 27.0, 29.6 0.65
SM/J f 17.1 0.907   4 0.453 0.053 16.0, 18.0 -1.1
SM/J m 21.9 0.918   4 0.459 0.0418 21.0, 23.2 -0.87


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 20.75 1.0923 22.9274 18.5726
129S1/SvImJ m 26.0 1.0923 28.1774 23.8226
AKR/J f 25.575 1.0923 27.7524 23.3976
AKR/J m 28.825 1.0923 31.0024 26.6476
B6129SF1/J f 22.0 1.0923 24.1774 19.8226
B6129SF1/J m 27.025 1.0923 29.2024 24.8476
B6D2F1/J f 22.55 1.0923 24.7274 20.3726
B6D2F1/J m 28.15 1.0923 30.3274 25.9726
BALB/cByJ f 22.6 1.0923 24.7774 20.4226
BALB/cByJ m 26.45 1.0923 28.6274 24.2726
BTBR T+ Itpr3tf/J f 27.45 1.0923 29.6274 25.2726
BTBR T+ Itpr3tf/J m 32.475 1.0923 34.6524 30.2976
C57BL/10J f 20.2 1.0923 22.3774 18.0226
C57BL/10J m 26.05 1.0923 28.2274 23.8726
C57BL/6J f 20.7 1.0923 22.8774 18.5226
C57BL/6J m 26.45 1.0923 28.6274 24.2726
CAST/EiJ f 12.45 1.0923 14.6274 10.2726
CAST/EiJ m 14.0 1.0923 16.1774 11.8226
DBA/2J f 21.225 1.0923 23.4024 19.0476
DBA/2J m 24.075 1.0923 26.2524 21.8976
NOD/ShiLtJ f 25.825 1.0923 28.0024 23.6476
NOD/ShiLtJ m 28.8 1.0923 30.9774 26.6226
SM/J f 17.125 1.0923 19.3024 14.9476
SM/J m 21.95 1.0923 24.1274 19.7726


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 23.375 0.7724 24.9147 21.8353
AKR/J both 27.2 0.7724 28.7397 25.6603
B6129SF1/J both 24.5125 0.7724 26.0522 22.9728
B6D2F1/J both 25.35 0.7724 26.8897 23.8103
BALB/cByJ both 24.525 0.7724 26.0647 22.9853
BTBR T+ Itpr3tf/J both 29.9625 0.7724 31.5022 28.4228
C57BL/10J both 23.125 0.7724 24.6647 21.5853
C57BL/6J both 23.575 0.7724 25.1147 22.0353
CAST/EiJ both 13.225 0.7724 14.7647 11.6853
DBA/2J both 22.65 0.7724 24.1897 21.1103
NOD/ShiLtJ both 27.3125 0.7724 28.8522 25.7728
SM/J both 19.5375 0.7724 21.0772 17.9978




  GWAS USING LINEAR MIXED MODELS