Project measure / variable:   Auwerx2   rer_max_treadmill_CD

ID, description, units MPD:114645   rer_max_treadmill_CD   maximum respiratory exchange ratio (RER), treadmill test (VCO2:VO2)   [ratio]  CD  
Data set, strains Auwerx2   inbred w/CC8   9 strains     sex: both     age: 19wks
Procedure monitoring system
Ontology mappings

  STRAIN COMPARISON PLOT
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Auwerx2 - maximum respiratory exchange ratio (RER), treadmill test (VCO2:VO2) CD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains9 strains
Mean of the strain means0.90131   ratio 0.90256   ratio
Median of the strain means0.90828   ratio 0.89757   ratio
SD of the strain means± 0.03801 ± 0.0237
Coefficient of variation (CV)0.0422 0.0263
Min–max range of strain means0.83182   –   0.95115   ratio 0.8689   –   0.94207   ratio
Mean sample size per strain4.2   mice 4.6   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0005 0.0005 0.3047 0.583
strain 7 0.0318 0.0045 2.6394 0.0192
sex:strain 7 0.011 0.0016 0.9127 0.5032
Residuals 59 0.1016 0.0017


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 0.92243 0.01616   5 0.00722788 0.0175 0.90147, 0.94473 0.56
129S1/SvImJ m 0.89757 0.02744   5 0.01227 0.0306 0.86535, 0.92871 -0.21
A/J f 0.95115 0.04676   4 0.02338 0.0492 0.90188, 1.0145 1.31
A/J m 0.94207 0.08223   3 0.04748 0.0873 0.8787, 1.035 1.67
C57BL/6J f 0.89526 0.09609   5 0.04297 0.1073 0.77285, 0.99057 -0.16
C57BL/6J m 0.90423 0.02845   5 0.01272 0.0315 0.87555, 0.94756 0.07
CAST/EiJ f 0.85043 0.0   1   0.0 0.0 0.85043, 0.85043 -1.34
CAST/EiJ m 0.8689 0.00514324   3 0.00296945 0.0059 0.86298, 0.87227 -1.42
DBA/2J f 0.92695 0.01826   5 0.00816658 0.0197 0.90274, 0.94531 0.67
DBA/2J m 0.88682 0.02115   5 0.00945839 0.0238 0.8718, 0.91749 -0.66
NOD/ShiLtJ f 0.90828 0.02148   6 0.00876952 0.0236 0.87875, 0.93307 0.18
NOD/ShiLtJ m 0.92497 0.01851   5 0.00827756 0.02 0.90372, 0.9515 0.95
NZO/HlLtJ f 0.92288 0.03614   4 0.01807 0.0392 0.88944, 0.97337 0.57
NZO/HlLtJ m 0.92358 0.04788   5 0.02141 0.0518 0.85236, 0.96859 0.89
PWK/PhJ f 0.90258 0.0214   5 0.00956986 0.0237 0.86908, 0.92044 0.03
PWK/PhJ m 0.89532 0.05518   5 0.02468 0.0616 0.82112, 0.95071 -0.31
WSB/EiJ f 0.83182 0.02803   3 0.01618 0.0337 0.80024, 0.85374 -1.83
WSB/EiJ m 0.87958 0.02153   5 0.00962978 0.0245 0.85571, 0.91404 -0.97


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.922432 0.0185612569 0.9595729893 0.8852910107
129S1/SvImJ m 0.897574 0.0185612569 0.9347149893 0.8604330107
A/J f 0.95115 0.0207521161 0.9926748884 0.9096251116
A/J m 0.9420733333 0.0239624796 0.9900221444 0.8941245223
C57BL/6J f 0.89526 0.0185612569 0.9324009893 0.8581190107
C57BL/6J m 0.904232 0.0185612569 0.9413729893 0.8670910107
DBA/2J f 0.926946 0.0185612569 0.9640869893 0.8898050107
DBA/2J m 0.88682 0.0185612569 0.9239609893 0.8496790107
NOD/ShiLtJ f 0.908285 0.0169440319 0.9421899294 0.8743800706
NOD/ShiLtJ m 0.924968 0.0185612569 0.9621089893 0.8878270107
NZO/HlLtJ f 0.9228825 0.0207521161 0.9644073884 0.8813576116
NZO/HlLtJ m 0.923578 0.0185612569 0.9607189893 0.8864370107
PWK/PhJ f 0.902584 0.0185612569 0.9397249893 0.8654430107
PWK/PhJ m 0.895316 0.0185612569 0.9324569893 0.8581750107
WSB/EiJ f 0.8318233333 0.0239624796 0.8797721444 0.7838745223
WSB/EiJ m 0.879576 0.0185612569 0.9167169893 0.8424350107


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.910003 0.0131247906 0.9362656454 0.8837403546
A/J both 0.9466116667 0.0158496905 0.9783268241 0.9148965093
C57BL/6J both 0.899746 0.0131247906 0.9260086454 0.8734833546
DBA/2J both 0.906883 0.0131247906 0.9331456454 0.8806203546
NOD/ShiLtJ both 0.9166265 0.0125660303 0.9417710686 0.8914819314
NZO/HlLtJ both 0.92323025 0.0139209427 0.951085992 0.895374508
PWK/PhJ both 0.89895 0.0131247906 0.9252126454 0.8726873546
WSB/EiJ both 0.8556996667 0.0151552028 0.8860251575 0.8253741759




  GWAS USING LINEAR MIXED MODELS