Project measure / variable:   Rice1   Krt16

ID, description, units MPD:49219   Krt16   KRT16, spectral counts, hair proteomics    
Data set, strains Rice1   inbred   11 strains     sex: both     age: 10-19wks
Procedure proteomic profiling
Ontology mappings

  •   Or, add this measure to your collection.
       
  •     no folder
  •     put it in new folder  

  STRAIN COMPARISON PLOT
Dimensions Width:   px    Height:   px
Download Plot   
Visualization Options

Rice1 - KRT16, spectral counts, hair proteomics



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested11 strains11 strains
Mean of the strain means14.2   None 12.6   None
Median of the strain means12.1   None 10.2   None
SD of the strain means± 9.41 ± 9.71
Coefficient of variation (CV)0.662 0.772
Min–max range of strain means0   –   25.1   None 0   –   26.8   None
Mean sample size per strain2.0   mice 2.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 29.8403 29.8403 2.9773 0.0985
strain 10 3613.2136 361.3214 36.0504 < 0.0001
sex:strain 10 41.4841 4.1484 0.4139 0.925
Residuals 22 220.4987 10.0227


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
C3H/HeJ f 9.76 3.66   2   2.59 0.375 7.17, 12.3 -0.47
C3H/HeJ m 7.98 0.871   2   0.616 0.109 7.37, 8.6 -0.47
C57BL/6J f 21.5 2.34   2   1.66 0.109 19.8, 23.1 0.77
C57BL/6J m 19.5 3.47   2   2.46 0.179 17.0, 21.9 0.71
CAST/EiJ f 10.1 0.829   2   0.586 0.0823 9.49, 10.7 -0.44
CAST/EiJ m 7.73 1.94   2   1.37 0.251 6.36, 9.1 -0.5
DBA/1J f 25.1 5.01   2   3.54 0.199 21.6, 28.7 1.16
DBA/1J m 22.8 4.96   2   3.51 0.218 19.3, 26.3 1.05
MRL/MpJ f 24.6 6.82   2   4.82 0.277 19.8, 29.5 1.1
MRL/MpJ m 26.8 3.68   2   2.6 0.137 24.2, 29.4 1.47
MRL/MpJ Faslpr-Foxq1sa-J/J f 0.0 0.0   2   0.0 0.0 -1.51
MRL/MpJ Faslpr-Foxq1sa-J/J m 0.0 0.0   2   0.0 0.0 -1.3
NOD/ShiLtJ f 22.3 4.09   2   2.89 0.184 19.4, 25.2 0.86
NOD/ShiLtJ m 19.6 0.132   2   0.0935 0.00675 19.5, 19.7 0.72
NZW/LacJ f 22.2 2.51   2   1.78 0.113 20.5, 24.0 0.85
NZW/LacJ m 21.1 1.04   2   0.733 0.049 20.4, 21.9 0.88
SB/LeJ f 0.0 0.0   2   0.0 0.0 -1.51
SB/LeJ m 0.0 0.0   2   0.0 0.0 -1.3
STOCK a/a Tmem79ma Flgft/J f 8.66 0.932   2   0.659 0.108 8.0, 9.32 -0.59
STOCK a/a Tmem79ma Flgft/J m 2.62 3.71   2   2.62 1.41 -1.03
WSB/EiJ f 12.1 5.44   2   3.85 0.449 8.27, 16.0 -0.22
WSB/EiJ m 10.2 2.5   2   1.77 0.245 8.42, 11.9 -0.24


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
C3H/HeJ f 9.757 2.2386 14.3996 5.1144
C3H/HeJ m 7.984 2.2386 12.6266 3.3414
C57BL/6J f 21.4555 2.2386 26.0981 16.8129
C57BL/6J m 19.4565 2.2386 24.0991 14.8139
CAST/EiJ f 10.072 2.2386 14.7146 5.4294
CAST/EiJ m 7.729 2.2386 12.3716 3.0864
DBA/1J f 25.1335 2.2386 29.7761 20.4909
DBA/1J m 22.77 2.2386 27.4126 18.1274
MRL/MpJ f 24.6485 2.2386 29.2911 20.0059
MRL/MpJ m 26.7695 2.2386 31.4121 22.1269
MRL/MpJ Faslpr-Foxq1sa-J/J f 0.0 2.2386 4.6426 -4.6426
MRL/MpJ Faslpr-Foxq1sa-J/J m 0.0 2.2386 4.6426 -4.6426
NOD/ShiLtJ f 22.2695 2.2386 26.9121 17.6269
NOD/ShiLtJ m 19.5905 2.2386 24.2331 14.9479
NZW/LacJ f 22.248 2.2386 26.8906 17.6054
NZW/LacJ m 21.1425 2.2386 25.7851 16.4999
SB/LeJ f 0.0 2.2386 4.6426 -4.6426
SB/LeJ m 0.0 2.2386 4.6426 -4.6426
STOCK a/a Tmem79ma Flgft/J f 8.659 2.2386 13.3016 4.0164
STOCK a/a Tmem79ma Flgft/J m 2.621 2.2386 7.2636 -2.0216
WSB/EiJ f 12.1205 2.2386 16.7631 7.4779
WSB/EiJ m 10.183 2.2386 14.8256 5.5404


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
C3H/HeJ both 8.8705 1.5829 12.1533 5.5877
C57BL/6J both 20.456 1.5829 23.7388 17.1732
CAST/EiJ both 8.9005 1.5829 12.1833 5.6177
DBA/1J both 23.9518 1.5829 27.2345 20.669
MRL/MpJ both 25.709 1.5829 28.9918 22.4262
MRL/MpJ Faslpr-Foxq1sa-J/J both 0.0 1.5829 3.2828 -3.2828
NOD/ShiLtJ both 20.93 1.5829 24.2128 17.6472
NZW/LacJ both 21.6953 1.5829 24.978 18.4125
SB/LeJ both 0.0 1.5829 3.2828 -3.2828
STOCK a/a Tmem79ma Flgft/J both 5.64 1.5829 8.9228 2.3572
WSB/EiJ both 11.1518 1.5829 14.4345 7.869




  GWAS USING LINEAR MIXED MODELS