Project measure / variable:   Loos2   short_arrest_dur_LT

ID, description, units MPD:54066   short_arrest_dur_LT   short arrest, duration   [log(s)]  
Data set, strains Loos2   inbred w/CC7   11 strains     sex: m     age: 8-12wks
Procedure home cage monitoring
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  STRAIN COMPARISON PLOT
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Loos2 - short arrest, duration



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested11 strains
Mean of the strain means2.84   log(s)
Median of the strain means2.80   log(s)
SD of the strain means± 0.262
Coefficient of variation (CV)0.0920
Min–max range of strain means2.43   –   3.35   log(s)
Mean sample size per strain35.1   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 10 22.5037 2.2504 28.8303 < 0.0001
Residuals 426 33.2518 0.0781


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 m 2.68 0.366   59 0.0476 0.136 1.63, 3.28 -0.63
A/J m 2.6 0.35   43 0.0534 0.135 0.95, 3.12 -0.93
BALB/cByJ m 2.91 0.289   44 0.0435 0.0993 2.36, 3.36 0.25
C3H/HeJ m 2.8 0.162   29 0.0302 0.058 2.4, 3.08 -0.17
C57BL/6J m 2.8 0.21   107 0.0203 0.0749 2.27, 3.29 -0.17
CAST/EiJ m 3.21 0.123   14 0.0328 0.0383 3.0, 3.46 1.4
DBA/2J m 2.43 0.372   39 0.0596 0.153 1.55, 3.15 -1.58
FVB/NJ m 3.35 0.158   36 0.0264 0.0471 3.04, 3.66 1.93
NOD/ShiLtJ m 2.88 0.301   37 0.0495 0.105 2.35, 3.6 0.14
PWK/PhJ m 2.93 0.167   15 0.0431 0.0571 2.72, 3.26 0.33
WSB/EiJ m 2.7 0.323   14 0.0864 0.12 2.18, 3.41 -0.55


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 2.6812 0.0364 2.7527 2.6097
A/J m 2.5977 0.0426 2.6814 2.5139
BALB/cByJ m 2.9068 0.0421 2.9896 2.824
C3H/HeJ m 2.8027 0.0519 2.9046 2.7007
C57BL/6J m 2.804 0.027 2.8571 2.7509
CAST/EiJ m 3.2058 0.0747 3.3526 3.059
DBA/2J m 2.4272 0.0447 2.5151 2.3393
FVB/NJ m 3.3548 0.0466 3.4463 3.2633
NOD/ShiLtJ m 2.8831 0.0459 2.9733 2.7928
PWK/PhJ m 2.9261 0.0721 3.0679 2.7843
WSB/EiJ m 2.6972 0.0747 2.844 2.5504




  GWAS USING LINEAR MIXED MODELS