Phenotype measure:   Everett1   condyle


  STRAIN COMPARISON PLOT
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Everett1 - mandible, condylar process



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means1.86   mm 1.84   mm
Median of the strain means1.84   mm 1.85   mm
SD of the strain means± 0.133 ± 0.131
Coefficient of variation (CV)0.0715 0.0714
Min–max range of strain means1.67   –   2.09   mm 1.61   –   2.06   mm
Mean sample size per strain10.0   mice 10.0   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0411 0.0411 7.9601 0.0052
strain 12 4.1318 0.3443 66.6439 < 0.0001
sex:strain 12 0.2698 0.0225 4.351 < 0.0001
Residuals 234 1.209 0.0052


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 2.09 0.0663   10 0.021 0.0317 2.01, 2.22 1.74
129S1/SvImJ m 1.96 0.0865   10 0.0274 0.044 1.78, 2.04 0.91
A/J f 1.69 0.102   10 0.0322 0.0604 1.48, 1.79 -1.27
A/J m 1.7 0.101   10 0.0318 0.0592 1.53, 1.83 -1.07
BALB/cByJ f 1.99 0.0656   10 0.0207 0.033 1.9, 2.1 0.98
BALB/cByJ m 1.85 0.0718   10 0.0227 0.0387 1.75, 1.96 0.07
C3H/HeJ f 1.99 0.108   10 0.0341 0.0541 1.75, 2.17 0.98
C3H/HeJ m 2.06 0.0585   10 0.0185 0.0283 1.98, 2.15 1.67
C57BL/10J f 1.85 0.0806   10 0.0255 0.0436 1.73, 1.97 -0.07
C57BL/10J m 1.89 0.0816   10 0.0258 0.0431 1.79, 2.08 0.37
C57BL/6J f 1.94 0.0819   10 0.0259 0.0422 1.83, 2.06 0.61
C57BL/6J m 1.96 0.0527   10 0.0167 0.0268 1.89, 2.04 0.91
CAST/EiJ f 1.8 0.0345   10 0.0109 0.0192 1.74, 1.86 -0.45
CAST/EiJ m 1.79 0.0661   10 0.0209 0.037 1.65, 1.9 -0.39
CBA/J f 1.89 0.0661   10 0.0209 0.035 1.73, 1.96 0.23
CBA/J m 1.9 0.0467   10 0.0148 0.0246 1.81, 1.98 0.45
DBA/2J f 1.69 0.0706   10 0.0223 0.0419 1.6, 1.83 -1.27
DBA/2J m 1.71 0.0999   10 0.0316 0.0584 1.56, 1.82 -0.99
FVB/NJ f 1.82 0.0678   10 0.0214 0.0372 1.68, 1.92 -0.3
FVB/NJ m 1.81 0.0392   10 0.0124 0.0216 1.75, 1.87 -0.23
MOLF/EiJ f 1.67 0.0562   10 0.0178 0.0337 1.59, 1.76 -1.42
MOLF/EiJ m 1.61 0.0489   10 0.0155 0.0304 1.51, 1.68 -1.75
PERA/EiJ f 2.02 0.0718   10 0.0227 0.0355 1.91, 2.12 1.21
PERA/EiJ m 1.97 0.048   10 0.0152 0.0244 1.91, 2.06 0.98
SJL/J f 1.83 0.0755   10 0.0239 0.0413 1.68, 1.93 -0.22
SJL/J m 1.72 0.0539   10 0.017 0.0314 1.67, 1.8 -0.92
SPRET/EiJ f 1.76 0.0702   8 0.0248 0.0399 1.68, 1.86 -0.75


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 2.093 0.0227 2.1378 2.0482
129S1/SvImJ m 1.9645 0.0227 2.0093 1.9197
A/J f 1.6865 0.0227 1.7313 1.6417
A/J m 1.699 0.0227 1.7438 1.6542
BALB/cByJ f 1.9895 0.0227 2.0343 1.9447
BALB/cByJ m 1.854 0.0227 1.8988 1.8092
C3H/HeJ f 1.9945 0.0227 2.0393 1.9497
C3H/HeJ m 2.0635 0.0227 2.1083 2.0187
C57BL/10J f 1.848 0.0227 1.8928 1.8032
C57BL/10J m 1.8945 0.0227 1.9393 1.8497
C57BL/6J f 1.9435 0.0227 1.9883 1.8987
C57BL/6J m 1.9645 0.0227 2.0093 1.9197
CAST/EiJ f 1.8 0.0227 1.8448 1.7552
CAST/EiJ m 1.785 0.0227 1.8298 1.7402
CBA/J f 1.886 0.0227 1.9308 1.8412
CBA/J m 1.901 0.0227 1.9458 1.8562
DBA/2J f 1.687 0.0227 1.7318 1.6422
DBA/2J m 1.7095 0.0227 1.7543 1.6647
FVB/NJ f 1.8215 0.0227 1.8663 1.7767
FVB/NJ m 1.812 0.0227 1.8568 1.7672
MOLF/EiJ f 1.669 0.0227 1.7138 1.6242
MOLF/EiJ m 1.608 0.0227 1.6528 1.5632
PERA/EiJ f 2.0235 0.0227 2.0683 1.9787
PERA/EiJ m 1.9695 0.0227 2.0143 1.9247
SJL/J f 1.8265 0.0227 1.8713 1.7817
SJL/J m 1.7165 0.0227 1.7613 1.6717


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 2.0288 0.0161 2.0604 1.9971
A/J both 1.6927 0.0161 1.7244 1.6611
BALB/cByJ both 1.9217 0.0161 1.9534 1.8901
C3H/HeJ both 2.029 0.0161 2.0607 1.9973
C57BL/10J both 1.8712 0.0161 1.9029 1.8396
C57BL/6J both 1.954 0.0161 1.9857 1.9223
CAST/EiJ both 1.7925 0.0161 1.8242 1.7608
CBA/J both 1.8935 0.0161 1.9252 1.8618
DBA/2J both 1.6982 0.0161 1.7299 1.6666
FVB/NJ both 1.8167 0.0161 1.8484 1.7851
MOLF/EiJ both 1.6385 0.0161 1.6702 1.6068
PERA/EiJ both 1.9965 0.0161 2.0282 1.9648
SJL/J both 1.7715 0.0161 1.8032 1.7398




  GWAS USING LINEAR MIXED MODELS