Project measure / variable:   Auwerx2   vco2_night_CD

ID, description, units MPD:114575   vco2_night_CD   carbon dioxide production, 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 - carbon dioxide production, 24h test, night time average CD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains9 strains
Mean of the strain means3961.0   mL/kg/min 3322.0   mL/kg/min
Median of the strain means3872.0   mL/kg/min 3261.0   mL/kg/min
SD of the strain means± 989.2 ± 620.2
Coefficient of variation (CV)0.2498 0.1867
Min–max range of strain means2613.0   –   5975.0   mL/kg/min 2242.0   –   4293.0   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 8271780.6447 8271780.6447 81.3639 < 0.0001
strain 7 35406854.3759 5058122.0537 49.7533 < 0.0001
sex:strain 7 4855681.0723 693668.7246 6.8231 < 0.0001
Residuals 60 6099840.6833 101664.0114


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 3681.0 256.5   5 114.7 0.0697 3353.0, 3953.0 -0.28
129S1/SvImJ m 3142.0 208.3   5 93.15 0.0663 2917.0, 3391.0 -0.29
A/J f 3058.0 366.5   4 183.2 0.1199 2627.0, 3475.0 -0.91
A/J m 2917.0 312.8   3 180.6 0.1072 2574.0, 3186.0 -0.65
C57BL/6J f 4238.0 272.1   5 121.7 0.0642 3944.0, 4642.0 0.28
C57BL/6J m 3091.0 115.3   5 51.58 0.0373 2922.0, 3211.0 -0.37
CAST/EiJ f 3872.0 0.0   1   0.0 0.0 3872.0, 3872.0 -0.09
CAST/EiJ m 4145.0 800.4   3 462.1 0.1931 3228.0, 4705.0 1.33
DBA/2J f 4080.0 279.8   5 125.1 0.0686 3615.0, 4342.0 0.12
DBA/2J m 3293.0 681.3   5 304.7 0.2069 2621.0, 4437.0 -0.05
NOD/ShiLtJ f 3378.0 410.1   7 155.0 0.1214 2646.0, 3990.0 -0.59
NOD/ShiLtJ m 3261.0 128.3   5 57.37 0.0393 3108.0, 3426.0 -0.1
NZO/HlLtJ f 2613.0 216.3   4 108.2 0.0828 2332.0, 2846.0 -1.36
NZO/HlLtJ m 2242.0 256.7   5 114.8 0.1145 2002.0, 2571.0 -1.74
PWK/PhJ f 4750.0 150.3   5 67.2 0.0316 4576.0, 4956.0 0.8
PWK/PhJ m 3513.0 311.2   5 139.2 0.0886 2959.0, 3702.0 0.31
WSB/EiJ f 5975.0 323.4   3 186.7 0.0541 5602.0, 6167.0 2.04
WSB/EiJ m 4293.0 308.1   5 137.8 0.0718 4072.0, 4835.0 1.57


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 3680.8 142.5931354511 3966.028738277 3395.571261723
129S1/SvImJ m 3141.6 142.5931354511 3426.828738277 2856.371261723
A/J f 3057.5 159.4239719968 3376.395423962 2738.604576038
A/J m 2917.3333333333 184.0869462952 3285.5620510689 2549.1046155978
C57BL/6J f 4238.0 142.5931354511 4523.228738277 3952.771261723
C57BL/6J m 3091.0 142.5931354511 3376.228738277 2805.771261723
DBA/2J f 4080.0 142.5931354511 4365.228738277 3794.771261723
DBA/2J m 3293.0 142.5931354511 3578.228738277 3007.771261723
NOD/ShiLtJ f 3378.0 120.5131951216 3619.0622817257 3136.9377182743
NOD/ShiLtJ m 3261.4 142.5931354511 3546.628738277 2976.171261723
NZO/HlLtJ f 2613.25 159.4239719968 2932.145423962 2294.354576038
NZO/HlLtJ m 2242.0 142.5931354511 2527.228738277 1956.771261723
PWK/PhJ f 4750.2 142.5931354511 5035.428738277 4464.971261723
PWK/PhJ m 3512.8 142.5931354511 3798.028738277 3227.571261723
WSB/EiJ f 5975.3333333333 184.0869462952 6343.5620510689 5607.1046155978
WSB/EiJ m 4293.2 142.5931354511 4578.428738277 4007.971261723


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3411.2 100.8285730281 3612.887175025 3209.512824975
A/J both 2987.4166666667 121.7620698776 3230.9770698468 2743.8562634865
C57BL/6J both 3664.5 100.8285730281 3866.187175025 3462.812824975
DBA/2J both 3686.5 100.8285730281 3888.187175025 3484.812824975
NOD/ShiLtJ both 3319.7 93.3491195408 3506.4260405045 3132.9739594955
NZO/HlLtJ both 2427.625 106.9448515883 2641.5465537078 2213.7034462922
PWK/PhJ both 4131.5 100.8285730281 4333.187175025 3929.812824975
WSB/EiJ both 5134.2666666667 116.4268075596 5367.1549562522 4901.3783770811




  GWAS USING LINEAR MIXED MODELS