Phenotype measure:   Sandell1   ear

ID, description, units MPD:49801   ear   ear cartilage wound healing 30d post-injury   [mm]
Data set, strains Sandell1   LGXSM w/par   13 strains     sex: both     age: 10wks
Procedure health assessment
Ontology mappings


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

Sandell1 - ear cartilage wound healing 30d post-injury



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested12 strains13 strains
Mean of the strain means1.07   mm 0.902   mm
Median of the strain means1.08   mm 0.839   mm
SD of the strain means± 0.361 ± 0.387
Coefficient of variation (CV)0.337 0.429
Min–max range of strain means0.525   –   1.56   mm 0.431   –   1.49   mm
Mean sample size per strain6.7   mice 7.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0257 0.0257 0.2697 0.6043
strain 11 19.4542 1.7686 18.5483 < 0.0001
sex:strain 11 2.8161 0.256 2.685 0.0035
Residuals 156 14.8745 0.0953


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
Strain Sex Mean SD N mice SEM CV Min, Max Z score
C57BL/6J f 0.683 0.144   3 0.0833 0.211 0.6, 0.85 -1.07
C57BL/6J m 0.483 0.0983   6 0.0401 0.203 0.35, 0.6 -1.08
DBA/1J m 0.506 0.124   8 0.0438 0.244 0.3, 0.7 -1.02
DBA/2J f 0.525 0.243   8 0.0861 0.464 0.2, 0.85 -1.51
DBA/2J m 0.431 0.222   8 0.0785 0.515 0.0, 0.75 -1.22
LG/J f 1.47 0.327   6 0.133 0.222 0.95, 1.75 1.1
LG/J m 1.49 0.276   7 0.104 0.186 1.0, 1.75 1.52
LGXSM18 f 1.33 0.319   5 0.143 0.24 1.0, 1.7 0.72
LGXSM18 m 0.46 0.292   5 0.131 0.636 0.25, 0.85 -1.14
LGXSM19 f 1.36 0.323   7 0.122 0.238 0.95, 1.85 0.8
LGXSM19 m 1.22 0.388   5 0.174 0.318 0.7, 1.7 0.82
LGXSM35 f 1.03 0.478   11 0.144 0.465 0.25, 1.85 -0.11
LGXSM35 m 1.17 0.187   10 0.0592 0.161 0.9, 1.45 0.69
LGXSM4 f 1.14 0.447   6 0.182 0.391 0.65, 1.7 0.19
LGXSM4 m 0.839 0.261   9 0.0869 0.311 0.4, 1.25 -0.16
LGXSM46 f 1.56 0.233   5 0.104 0.149 1.25, 1.9 1.35
LGXSM46 m 1.31 0.245   8 0.0865 0.186 1.05, 1.8 1.06
LGXSM48 f 0.908 0.309   6 0.126 0.34 0.5, 1.4 -0.45
LGXSM48 m 0.808 0.244   6 0.0995 0.302 0.4, 1.05 -0.24
LGXSM5 f 0.911 0.393   9 0.131 0.431 0.25, 1.6 -0.44
LGXSM5 m 1.19 0.459   11 0.138 0.385 0.25, 1.75 0.75
MRL/MpJ f 1.39 0.206   4 0.103 0.148 1.15, 1.65 0.88
MRL/MpJ m 1.27 0.311   13 0.0862 0.244 0.85, 1.85 0.95
SM/J f 0.543 0.207   14 0.0554 0.382 0.25, 1.0 -1.46
SM/J m 0.544 0.215   8 0.0759 0.395 0.25, 0.85 -0.92


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
C57BL/6J f 0.6833 0.1783 1.0355 0.3312
C57BL/6J m 0.4833 0.1261 0.7323 0.2343
DBA/2J f 0.525 0.1092 0.7406 0.3094
DBA/2J m 0.4312 0.1092 0.6469 0.2156
LG/J f 1.475 0.1261 1.724 1.226
LG/J m 1.4857 0.1167 1.7163 1.2552
LGXSM18 f 1.33 0.1381 1.6028 1.0572
LGXSM18 m 0.46 0.1381 0.7328 0.1872
LGXSM19 f 1.3571 0.1167 1.5877 1.1266
LGXSM19 m 1.22 0.1381 1.4928 0.9472
LGXSM35 f 1.0273 0.0931 1.2112 0.8434
LGXSM35 m 1.165 0.0976 1.3579 0.9721
LGXSM4 f 1.1417 0.1261 1.3907 0.8927
LGXSM4 m 0.8389 0.1029 1.0422 0.6356
LGXSM46 f 1.56 0.1381 1.8328 1.2872
LGXSM46 m 1.3125 0.1092 1.5281 1.0969
LGXSM48 f 0.9083 0.1261 1.1573 0.6593
LGXSM48 m 0.8083 0.1261 1.0573 0.5593
LGXSM5 f 0.9111 0.1029 1.1144 0.7078
LGXSM5 m 1.1909 0.0931 1.3748 1.007
MRL/MpJ f 1.3875 0.1544 1.6925 1.0825
MRL/MpJ m 1.2731 0.0856 1.4422 1.1039
SM/J f 0.5429 0.0825 0.7059 0.3798
SM/J m 0.5437 0.1092 0.7594 0.3281


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
C57BL/6J both 0.5833 0.1092 0.799 0.3677
DBA/2J both 0.4781 0.0772 0.6306 0.3256
LG/J both 1.4804 0.0859 1.65 1.3107
LGXSM18 both 0.895 0.0976 1.0879 0.7021
LGXSM19 both 1.2886 0.0904 1.4671 1.11
LGXSM35 both 1.0961 0.0675 1.2294 0.9629
LGXSM4 both 0.9903 0.0814 1.151 0.8295
LGXSM46 both 1.4363 0.088 1.6101 1.2624
LGXSM48 both 0.8583 0.0891 1.0344 0.6823
LGXSM5 both 1.051 0.0694 1.1881 0.9139
MRL/MpJ both 1.3303 0.0883 1.5047 1.1559
SM/J both 0.5433 0.0684 0.6785 0.4081




  GENOME-WIDE ASSOCIATION (GWAS) STATIC PLOT
Plot generated with EMMA / pyLMM using 132K SNP array. Click on plot to view at larger size.