Project measure / variable:   Project1204   COCclonSEIZ

ID, description, units MPD:130830   COCclonSEIZ   COCclonSEIZ    
Data set, strains Project1204   BXD   26 strains     sex: p
Procedure None
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  STRAIN COMPARISON PLOT
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Project1204 - COCclonSEIZ



  MEASURE SUMMARY
Measure Summary
Number of strains tested26 strains
Mean of the strain means21.622   None
Median of the strain means21.794   None
SD of the strain means± 1.9071
Coefficient of variation (CV)0.0882
Min–max range of strain means17.446   –   24.868   None
Mean sample size per strain1.0   mice


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
BXD1 p 24.379 0.0   1   0.0 0.0 24.379, 24.379 1.45
BXD11 p 24.868 0.0   1   0.0 0.0 24.868, 24.868 1.7
BXD12 p 17.503 0.0   1   0.0 0.0 17.503, 17.503 -2.16
BXD13 p 21.769 0.0   1   0.0 0.0 21.769, 21.769 0.08
BXD14 p 21.818 0.0   1   0.0 0.0 21.818, 21.818 0.1
BXD15 p 17.446 0.0   1   0.0 0.0 17.446, 17.446 -2.19
BXD16 p 20.113 0.0   1   0.0 0.0 20.113, 20.113 -0.79
BXD18 p 24.352 0.0   1   0.0 0.0 24.352, 24.352 1.43
BXD19 p 23.487 0.0   1   0.0 0.0 23.487, 23.487 0.98
BXD2 p 21.833 0.0   1   0.0 0.0 21.833, 21.833 0.11
BXD21 p 20.35 0.0   1   0.0 0.0 20.35, 20.35 -0.67
BXD22/TyJ p 23.582 0.0   1   0.0 0.0 23.582, 23.582 1.03
BXD24 p 20.714 0.0   1   0.0 0.0 20.714, 20.714 -0.48
BXD25/TyJ p 22.165 0.0   1   0.0 0.0 22.165, 22.165 0.28
BXD27 p 22.886 0.0   1   0.0 0.0 22.886, 22.886 0.66
BXD28 p 19.643 0.0   1   0.0 0.0 19.643, 19.643 -1.04
BXD29 p 20.862 0.0   1   0.0 0.0 20.862, 20.862 -0.4
BXD30/TyJ p 22.806 0.0   1   0.0 0.0 22.806, 22.806 0.62
BXD31 p 20.151 0.0   1   0.0 0.0 20.151, 20.151 -0.77
BXD32 p 20.737 0.0   1   0.0 0.0 20.737, 20.737 -0.46
BXD5/TyJ p 21.679 0.0   1   0.0 0.0 21.679, 21.679 0.03
BXD6 p 20.158 0.0   1   0.0 0.0 20.158, 20.158 -0.77
BXD8 p 23.973 0.0   1   0.0 0.0 23.973, 23.973 1.23
BXD9 p 21.861 0.0   1   0.0 0.0 21.861, 21.861 0.13
C57BL/6J p 21.128 0.0   1   0.0 0.0 21.128, 21.128 -0.26
DBA/2J p 21.904 0.0   1   0.0 0.0 21.904, 21.904 0.15




  GWAS USING LINEAR MIXED MODELS