Project measure / variable:   Everett1   incisor_region


  STRAIN COMPARISON PLOT
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Everett1 - mandible, diastema to pogonion



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means1.82   mm 1.84   mm
Median of the strain means1.78   mm 1.79   mm
SD of the strain means± 0.123 ± 0.149
Coefficient of variation (CV)0.0678 0.0809
Min–max range of strain means1.55   –   2.07   mm 1.60   –   2.15   mm
Mean sample size per strain10.0   mice 9.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0544 0.0544 22.2981 < 0.0001
strain 12 4.2281 0.3523 144.4569 < 0.0001
sex:strain 12 0.0908 0.0076 3.1025 0.0004
Residuals 231 0.5634 0.0024


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 1.86 0.0537   10 0.017 0.0289 1.78, 1.96 0.35
129S1/SvImJ m 1.9 0.0466   10 0.0147 0.0246 1.83, 1.94 0.38
A/J f 1.77 0.0455   10 0.0144 0.0257 1.7, 1.85 -0.38
A/J m 1.79 0.0591   9 0.0197 0.033 1.68, 1.86 -0.36
BALB/cByJ f 1.77 0.0404   10 0.0128 0.0229 1.72, 1.82 -0.38
BALB/cByJ m 1.8 0.0402   10 0.0127 0.0223 1.76, 1.89 -0.29
C3H/HeJ f 1.86 0.0739   10 0.0234 0.0397 1.72, 1.99 0.35
C3H/HeJ m 1.9 0.0358   10 0.0113 0.0188 1.86, 1.97 0.38
C57BL/10J f 2.07 0.053   10 0.0168 0.0257 1.98, 2.12 2.06
C57BL/10J m 2.15 0.061   8 0.0216 0.0284 2.08, 2.27 2.05
C57BL/6J f 1.98 0.0567   10 0.0179 0.0286 1.85, 2.07 1.33
C57BL/6J m 2.09 0.0471   10 0.0149 0.0225 2.01, 2.15 1.65
CAST/EiJ f 1.55 0.0309   10 0.00977 0.0199 1.49, 1.59 -2.16
CAST/EiJ m 1.6 0.0462   10 0.0146 0.0289 1.52, 1.69 -1.63
CBA/J f 1.85 0.0539   10 0.017 0.029 1.76, 1.97 0.27
CBA/J m 1.92 0.0754   10 0.0238 0.0393 1.79, 2.0 0.51
DBA/2J f 1.78 0.0487   10 0.0154 0.0273 1.72, 1.86 -0.3
DBA/2J m 1.78 0.0346   10 0.0109 0.0194 1.73, 1.83 -0.43
FVB/NJ f 1.74 0.0264   10 0.00834 0.0152 1.69, 1.77 -0.62
FVB/NJ m 1.79 0.0305   10 0.00963 0.0171 1.74, 1.84 -0.36
MOLF/EiJ f 1.78 0.0588   10 0.0186 0.033 1.69, 1.86 -0.3
MOLF/EiJ m 1.75 0.0364   10 0.0115 0.0208 1.69, 1.8 -0.63
PERA/EiJ f 1.73 0.052   10 0.0164 0.03 1.65, 1.81 -0.7
PERA/EiJ m 1.71 0.0555   10 0.0175 0.0324 1.59, 1.79 -0.9
SJL/J f 1.78 0.0494   10 0.0156 0.0277 1.67, 1.86 -0.3
SJL/J m 1.79 0.0372   10 0.0118 0.0208 1.73, 1.85 -0.36
SPRET/EiJ f 1.91 0.0552   8 0.0195 0.029 1.84, 1.97 0.76


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 1.8575 0.0156 1.8883 1.8267
129S1/SvImJ m 1.895 0.0156 1.9258 1.8642
A/J f 1.774 0.0156 1.8048 1.7432
A/J m 1.7906 0.0165 1.823 1.7581
BALB/cByJ f 1.7695 0.0156 1.8003 1.7387
BALB/cByJ m 1.8045 0.0156 1.8353 1.7737
C3H/HeJ f 1.862 0.0156 1.8928 1.8312
C3H/HeJ m 1.9005 0.0156 1.9313 1.8697
C57BL/10J f 2.066 0.0156 2.0968 2.0352
C57BL/10J m 2.1506 0.0175 2.185 2.1162
C57BL/6J f 1.982 0.0156 2.0128 1.9512
C57BL/6J m 2.089 0.0156 2.1198 2.0582
CAST/EiJ f 1.551 0.0156 1.5818 1.5202
CAST/EiJ m 1.6 0.0156 1.6308 1.5692
CBA/J f 1.855 0.0156 1.8858 1.8242
CBA/J m 1.917 0.0156 1.9478 1.8862
DBA/2J f 1.7815 0.0156 1.8123 1.7507
DBA/2J m 1.778 0.0156 1.8088 1.7472
FVB/NJ f 1.7375 0.0156 1.7683 1.7067
FVB/NJ m 1.7865 0.0156 1.8173 1.7557
MOLF/EiJ f 1.7805 0.0156 1.8113 1.7497
MOLF/EiJ m 1.7515 0.0156 1.7823 1.7207
PERA/EiJ f 1.7335 0.0156 1.7643 1.7027
PERA/EiJ m 1.712 0.0156 1.7428 1.6812
SJL/J f 1.781 0.0156 1.8118 1.7502
SJL/J m 1.7915 0.0156 1.8223 1.7607


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 1.8762 0.011 1.898 1.8545
A/J both 1.7823 0.0113 1.8046 1.7599
BALB/cByJ both 1.787 0.011 1.8088 1.7652
C3H/HeJ both 1.8812 0.011 1.903 1.8595
C57BL/10J both 2.1083 0.0117 2.1314 2.0852
C57BL/6J both 2.0355 0.011 2.0573 2.0137
CAST/EiJ both 1.5755 0.011 1.5973 1.5537
CBA/J both 1.886 0.011 1.9078 1.8642
DBA/2J both 1.7797 0.011 1.8015 1.758
FVB/NJ both 1.762 0.011 1.7838 1.7402
MOLF/EiJ both 1.766 0.011 1.7878 1.7442
PERA/EiJ both 1.7227 0.011 1.7445 1.701
SJL/J both 1.7862 0.011 1.808 1.7645




  GWAS USING LINEAR MIXED MODELS