An error occurred on this page.
These results could be incomplete or invalid. Staff have been notified.



Project measure / variable:   Rusyn6   kidney_adj_tce

ID, description, units MPD:51252   kidney_adj_tce   kidney weight as a percent of body weight   [%]  TCE  
trichloroethylene study
Data set, strains Rusyn6   inbred   7 strains     sex: m     age: 6-7wks
Procedure organ weights
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

Rusyn6 - kidney weight as a percent of body weight TCE



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested7 strains
Mean of the strain means1.51   %
Median of the strain means1.57   %
SD of the strain means± 0.247
Coefficient of variation (CV)0.164
Min–max range of strain means1.12   –   1.81   %
Mean sample size per strain3.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 6 1.3151 0.2192 5.1825 0.0023
Residuals 20 0.8459 0.0423


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
129S1/SvImJ m 1.78 0.175   4 0.0875 0.0981 1.58, 2.0 1.09
A/J m 1.57 0.145   4 0.0724 0.0923 1.43, 1.76 0.24
BTBR T+ Itpr3tf/J m 1.36 0.0909   4 0.0455 0.0669 1.29, 1.48 -0.61
C57BL/6J m 1.36 0.168   4 0.0842 0.124 1.18, 1.5 -0.61
CAST/EiJ m 1.12 0.368   3 0.213 0.328 0.833, 1.54 -1.58
NOD/ShiLtJ m 1.57 0.29   4 0.145 0.184 1.36, 2.0 0.24
NZW/LacJ m 1.81 0.139   4 0.0693 0.0766 1.67, 2.0 1.21


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ m 1.784 0.1028 1.9985 1.5695
A/J m 1.5682 0.1028 1.7827 1.3538
BTBR T+ Itpr3tf/J m 1.36 0.1028 1.5745 1.1455
C57BL/6J m 1.3565 0.1028 1.571 1.142
CAST/EiJ m 1.1237 0.1187 1.3713 0.876
NOD/ShiLtJ m 1.5732 0.1028 1.7877 1.3588
NZW/LacJ m 1.8098 0.1028 2.0242 1.5953




  GWAS USING LINEAR MIXED MODELS