Project measure / variable:   Seburn1   VCO2_daily

ID, description, units MPD:9211   VCO2_daily   carbon dioxide volume, 3 day test   [mL/kg/h]  daily  
Data set, strains Seburn1   inbred   16 strains     sex: both     age: 7-9wks
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  STRAIN COMPARISON PLOT
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Seburn1 - carbon dioxide volume, 3 day test daily



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested11 strains14 strains
Mean of the strain means3742   mL/kg/h 3308   mL/kg/h
Median of the strain means3747   mL/kg/h 3016   mL/kg/h
SD of the strain means± 914 ± 784
Coefficient of variation (CV)0.244 0.237
Min–max range of strain means2412   –   5072   mL/kg/h 2382   –   4721   mL/kg/h
Mean sample size per strain8.0   mice 8.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 3848136.1111 3848136.1111 19.1689 < 0.0001
strain 8 95347613.0 11918451.625 59.37 < 0.0001
sex:strain 8 1372475.8889 171559.4861 0.8546 0.5568
Residuals 126 25294354.0 200748.8413


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 3336.0 311.0   8 110.0 0.0933 2897.0, 3793.0 -0.44
129S1/SvImJ m 2822.0 149.0   8 52.6 0.0528 2653.0, 3078.0 -0.62
A/J f 2992.0 342.0   8 121.0 0.114 2531.0, 3651.0 -0.82
A/J m 2813.0 229.0   8 81.1 0.0816 2573.0, 3218.0 -0.63
AKR/J m 2443.0 290.0   8 102.0 0.119 1980.0, 2850.0 -1.1
BALB/cJ f 3747.0 433.0   8 153.0 0.116 2988.0, 4269.0 0.01
BALB/cJ m 3684.0 424.0   8 150.0 0.115 2894.0, 4322.0 0.48
BTBR T+ Itpr3tf/J f 2412.0 391.0   8 138.0 0.162 1916.0, 2970.0 -1.46
BTBR T+ Itpr3tf/J m 2382.0 182.0   8 64.4 0.0765 2212.0, 2628.0 -1.18
C3H/HeJ m 2844.0 118.0   8 41.7 0.0415 2728.0, 3097.0 -0.59
C57BL/6J f 2801.0 328.0   8 116.0 0.117 2277.0, 3315.0 -1.03
CAST/EiJ f 4957.0 446.0   8 158.0 0.09 4342.0, 5732.0 1.33
CAST/EiJ m 4707.0 322.0   8 114.0 0.0684 4246.0, 5339.0 1.78
CBA/J f 2988.0 260.0   8 92.0 0.0871 2567.0, 3463.0 -0.83
FVB/NJ m 2564.0 265.0   8 93.6 0.103 2142.0, 2864.0 -0.95
LP/J f 4219.0 856.0   8 303.0 0.203 2819.0, 5571.0 0.52
LP/J m 3780.0 512.0   8 181.0 0.135 3158.0, 4557.0 0.6
NOD/ShiLtJ m 3090.0 225.0   8 79.6 0.0728 2826.0, 3428.0 -0.28
NZB/BlNJ f 3965.0 449.0   8 159.0 0.113 3635.0, 5026.0 0.24
NZB/BlNJ m 3420.0 469.0   8 166.0 0.137 2896.0, 4332.0 0.14
PL/J f 4676.0 660.0   8 233.0 0.141 3671.0, 5815.0 1.02
PL/J m 4102.0 353.0   8 125.0 0.0861 3732.0, 4856.0 1.01
SJL/J m 2943.0 92.1   8 32.6 0.0313 2833.0, 3130.0 -0.47
SWR/J f 5072.0 480.0   8 170.0 0.0947 4386.0, 5980.0 1.46
SWR/J m 4721.0 512.0   8 181.0 0.108 3722.0, 5314.0 1.8


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 3335.5 158.4096 3648.988 3022.012
129S1/SvImJ m 2821.875 158.4096 3135.363 2508.387
A/J f 2991.625 158.4096 3305.113 2678.137
A/J m 2813.125 158.4096 3126.613 2499.637
BALB/cJ f 3746.75 158.4096 4060.238 3433.262
BALB/cJ m 3684.25 158.4096 3997.738 3370.762
BTBR T+ Itpr3tf/J f 2411.625 158.4096 2725.113 2098.137
BTBR T+ Itpr3tf/J m 2382.25 158.4096 2695.738 2068.762
CAST/EiJ f 4957.25 158.4096 5270.738 4643.762
CAST/EiJ m 4707.375 158.4096 5020.863 4393.887
LP/J f 4218.875 158.4096 4532.363 3905.387
LP/J m 3780.5 158.4096 4093.988 3467.012
NZB/BlNJ f 3964.75 158.4096 4278.238 3651.262
NZB/BlNJ m 3419.75 158.4096 3733.238 3106.262
PL/J f 4676.5 158.4096 4989.988 4363.012
PL/J m 4102.0 158.4096 4415.488 3788.512
SWR/J f 5072.125 158.4096 5385.613 4758.637
SWR/J m 4721.375 158.4096 5034.863 4407.887


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3078.6875 112.0125 3300.357 2857.018
A/J both 2902.375 112.0125 3124.0445 2680.7055
BALB/cJ both 3715.5 112.0125 3937.1695 3493.8305
BTBR T+ Itpr3tf/J both 2396.9375 112.0125 2618.607 2175.268
CAST/EiJ both 4832.3125 112.0125 5053.982 4610.643
LP/J both 3999.6875 112.0125 4221.357 3778.018
NZB/BlNJ both 3692.25 112.0125 3913.9195 3470.5805
PL/J both 4389.25 112.0125 4610.9195 4167.5805
SWR/J both 4896.75 112.0125 5118.4195 4675.0805




  GWAS USING LINEAR MIXED MODELS