Project measure / variable:   Brown1   defecation_d1_OFT

ID, description, units MPD:9410   defecation_d1_OFT   fecal boli count, 5 min test, day 1   [n]  
Data set, strains Brown1   inbred   14 strains     sex: both     age: 10wks
Procedure open field test
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  STRAIN COMPARISON PLOT
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Brown1 - fecal boli count, 5 min test, day 1



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains14 strains
Mean of the strain means2.61   n 3.54   n
Median of the strain means2.29   n 2.72   n
SD of the strain means± 1.65 ± 2.04
Coefficient of variation (CV)0.632 0.578
Min–max range of strain means0.400   –   5.93   n 0.917   –   6.92   n
Mean sample size per strain12.9   mice 13.1   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 73.3746 73.3746 13.1576 0.0003
strain 13 917.8696 70.6054 12.661 < 0.0001
sex:strain 13 214.039 16.4645 2.9524 0.0004
Residuals 347 1935.0741 5.5766


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 4.08 2.47   12 0.712 0.604 1.0, 8.0 0.89
129S1/SvImJ m 3.0 2.26   12 0.651 0.752 -0.26
A/J f 4.83 2.79   12 0.806 0.577 1.34
A/J m 4.95 4.06   20 0.907 0.82 0.69
AKR/J f 3.58 2.15   12 0.621 0.6 1.0, 8.0 0.59
AKR/J m 4.59 2.96   17 0.718 0.645 0.52
BALB/cByJ f 3.41 2.15   22 0.459 0.631 1.0, 8.0 0.48
BALB/cByJ m 5.75 3.17   12 0.914 0.551 1.0, 13.0 1.08
BALB/cJ f 5.93 3.22   14 0.861 0.543 1.0, 11.0 2.01
BALB/cJ m 6.92 2.78   12 0.802 0.402 2.0, 11.0 1.65
C3H/HeJ f 2.11 1.66   19 0.382 0.79 -0.3
C3H/HeJ m 2.44 2.53   18 0.595 1.03 -0.54
C57BL/6J f 0.5 0.798   12 0.23 1.6 -1.28
C57BL/6J m 1.62 1.5   13 0.417 0.93 -0.94
CAST/EiJ f 2.9 2.47   10 0.781 0.852 0.18
CAST/EiJ m 2.17 1.99   12 0.575 0.92 -0.67
DBA/2J f 1.93 2.23   14 0.597 1.16 -0.41
DBA/2J m 1.77 2.39   13 0.662 1.35 -0.86
FVB/NJ f 0.417 1.44   12 0.417 3.46 -1.33
FVB/NJ m 2.33 2.57   12 0.742 1.1 -0.59
MOLF/EiJ f 2.0 1.76   12 0.508 0.879 -0.37
MOLF/EiJ m 4.73 1.68   11 0.506 0.355 1.0, 7.0 0.58
SJL/J f 2.0 1.35   13 0.376 0.677 -0.37
SJL/J m 6.83 2.82   12 0.815 0.413 3.0, 12.0 1.61
SM/J f 0.4 0.699   10 0.221 1.75 -1.34
SM/J m 0.917 1.51   12 0.434 1.64 -1.28
SPRET/EiJ f 2.46 1.76   13 0.489 0.716 -0.09
SPRET/EiJ m 1.5 1.83   12 0.529 1.22 -1.0


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 4.0833 0.6817 5.4241 2.7425
129S1/SvImJ m 3.0 0.6817 4.3408 1.6592
A/J f 4.8333 0.6817 6.1741 3.4925
A/J m 4.95 0.528 5.9886 3.9114
AKR/J f 3.5833 0.6817 4.9241 2.2425
AKR/J m 4.5882 0.5727 5.7147 3.4618
BALB/cByJ f 3.4091 0.5035 4.3993 2.4189
BALB/cByJ m 5.75 0.6817 7.0908 4.4092
BALB/cJ f 5.9286 0.6311 7.1699 4.6872
BALB/cJ m 6.9167 0.6817 8.2575 5.5759
C3H/HeJ f 2.1053 0.5418 3.1708 1.0397
C3H/HeJ m 2.4444 0.5566 3.5392 1.3497
C57BL/6J f 0.5 0.6817 1.8408 0.0
C57BL/6J m 1.6154 0.655 2.9036 0.3272
CAST/EiJ f 2.9 0.7468 4.3688 1.4312
CAST/EiJ m 2.1667 0.6817 3.5075 0.8259
DBA/2J f 1.9286 0.6311 3.1699 0.6872
DBA/2J m 1.7692 0.655 3.0574 0.481
FVB/NJ f 0.4167 0.6817 1.7575 0.0
FVB/NJ m 2.3333 0.6817 3.6741 0.9925
MOLF/EiJ f 2.0 0.6817 3.3408 0.6592
MOLF/EiJ m 4.7273 0.712 6.1277 3.3269
SJL/J f 2.0 0.655 3.2882 0.7118
SJL/J m 6.8333 0.6817 8.1741 5.4925
SM/J f 0.4 0.7468 1.8688 0.0
SM/J m 0.9167 0.6817 2.2575 0.0
SPRET/EiJ f 2.4615 0.655 3.7497 1.1734
SPRET/EiJ m 1.5 0.6817 2.8408 0.1592


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3.5417 0.482 4.4897 2.5936
A/J both 4.8917 0.4311 5.7397 4.0437
AKR/J both 4.0858 0.4452 4.9614 3.2102
BALB/cByJ both 4.5795 0.4237 5.413 3.7461
BALB/cJ both 6.4226 0.4645 7.3362 5.509
C3H/HeJ both 2.2749 0.3884 3.0387 1.511
C57BL/6J both 1.0577 0.4727 1.9874 0.128
CAST/EiJ both 2.5333 0.5056 3.5277 1.539
DBA/2J both 1.8489 0.4548 2.7434 0.9544
FVB/NJ both 1.375 0.482 2.3231 0.4269
MOLF/EiJ both 3.3636 0.4929 4.333 2.3943
SJL/J both 4.4167 0.4727 5.3463 3.487
SM/J both 0.6583 0.5056 1.6527 0.0
SPRET/EiJ both 1.9808 0.4727 2.9104 1.0511




  GWAS USING LINEAR MIXED MODELS