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Project measure / variable:   Auwerx2   vo2_night_CD

ID, description, units MPD:114571   vo2_night_CD   oxygen consumption, 24h test, night time average   [mL/kg/min]  CD  
Data set, strains Auwerx2   inbred w/CC8   9 strains     sex: both     age: 14wks
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  STRAIN COMPARISON PLOT
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Auwerx2 - oxygen consumption, 24h test, night time average CD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains9 strains
Mean of the strain means4520.0   mL/kg/min 3881.0   mL/kg/min
Median of the strain means4183.0   mL/kg/min 3543.0   mL/kg/min
SD of the strain means± 975.0 ± 715.8
Coefficient of variation (CV)0.2157 0.1844
Min–max range of strain means3308.0   –   6440.0   mL/kg/min 2802.0   –   4844.0   mL/kg/min
Mean sample size per strain4.3   mice 4.6   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 9150390.0132 9150390.0132 71.7957 < 0.0001
strain 7 40861979.8123 5837425.6875 45.8016 < 0.0001
sex:strain 7 3282375.2754 468910.7536 3.6792 0.0023
Residuals 60 7647020.8333 127450.3472


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 4171.0 216.4   5 96.78 0.0519 3847.0, 4425.0 -0.36
129S1/SvImJ m 3543.0 152.5   5 68.2 0.043 3375.0, 3748.0 -0.47
A/J f 3731.0 271.8   4 135.9 0.0729 3411.0, 4028.0 -0.81
A/J m 3388.0 104.8   3 60.53 0.0309 3271.0, 3474.0 -0.69
C57BL/6J f 4756.0 325.3   5 145.5 0.0684 4291.0, 5142.0 0.24
C57BL/6J m 3476.0 138.4   5 61.89 0.0398 3348.0, 3653.0 -0.57
CAST/EiJ f 4183.0 0.0   1   0.0 0.0 4183.0, 4183.0 -0.35
CAST/EiJ m 4828.0 437.2   3 252.4 0.0906 4328.0, 5140.0 1.32
DBA/2J f 4822.0 218.1   5 97.54 0.0452 4472.0, 5036.0 0.31
DBA/2J m 3958.0 733.5   5 328.0 0.1853 3198.0, 5180.0 0.11
NOD/ShiLtJ f 3790.0 437.8   7 165.5 0.1155 3069.0, 4338.0 -0.75
NOD/ShiLtJ m 3533.0 111.1   5 49.693 0.0315 3378.0, 3660.0 -0.49
NZO/HlLtJ f 3308.0 189.4   4 94.69 0.0573 3058.0, 3482.0 -1.24
NZO/HlLtJ m 2802.0 301.3   5 134.8 0.1075 2479.0, 3180.0 -1.51
PWK/PhJ f 5475.0 236.7   5 105.9 0.0432 5224.0, 5842.0 0.98
PWK/PhJ m 4561.0 358.4   5 160.3 0.0786 3938.0, 4832.0 0.95
WSB/EiJ f 6440.0 600.9   3 346.9 0.0933 5747.0, 6821.0 1.97
WSB/EiJ m 4844.0 536.3   5 239.9 0.1107 4513.0, 5789.0 1.34


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 4171.2 159.6560974233 4490.5597439472 3851.8402560528
129S1/SvImJ m 3542.6 159.6560974233 3861.9597439472 3223.2402560528
A/J f 3730.75 178.5009434304 4087.8050483714 3373.6949516286
A/J m 3387.6666666667 206.1151354803 3799.9583232521 2975.3750100812
C57BL/6J f 4755.8 159.6560974233 5075.1597439472 4436.4402560528
C57BL/6J m 3476.2 159.6560974233 3795.5597439472 3156.8402560528
DBA/2J f 4822.0 159.6560974233 5141.3597439472 4502.6402560528
DBA/2J m 3957.8 159.6560974233 4277.1597439472 3638.4402560528
NOD/ShiLtJ f 3790.0 134.9340300307 4059.908246386 3520.091753614
NOD/ShiLtJ m 3533.0 159.6560974233 3852.3597439472 3213.6402560528
NZO/HlLtJ f 3307.75 178.5009434304 3664.8050483714 2950.6949516286
NZO/HlLtJ m 2802.4 159.6560974233 3121.7597439472 2483.0402560528
PWK/PhJ f 5474.6 159.6560974233 5793.9597439472 5155.2402560528
PWK/PhJ m 4561.0 159.6560974233 4880.3597439472 4241.6402560528
WSB/EiJ f 6439.6666666667 206.1151354803 6851.9583232521 6027.3750100812
WSB/EiJ m 4844.4 159.6560974233 5163.7597439472 4525.0402560528


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3856.9 112.8939091458 4082.721440583 3631.078559417
A/J both 3559.2083333333 136.3323474818 3831.9136310713 3286.5030355953
C57BL/6J both 4116.0 112.8939091458 4341.821440583 3890.178559417
DBA/2J both 4389.9 112.8939091458 4615.721440583 4164.078559417
NOD/ShiLtJ both 3661.5 104.5194502291 3870.5700286514 3452.4299713486
NZO/HlLtJ both 3055.075 119.7420730675 3294.5948079604 2815.5551920396
PWK/PhJ both 5017.8 112.8939091458 5243.621440583 4791.978559417
WSB/EiJ both 5642.0333333333 130.3586576704 5902.7894723521 5381.2771943145




  GWAS USING LINEAR MIXED MODELS