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Project measure / variable:   Everett1   ramus_height


  STRAIN COMPARISON PLOT
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Everett1 - mandible, antegonion to sigmoid



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means4.16   mm 4.13   mm
Median of the strain means4.24   mm 4.22   mm
SD of the strain means± 0.239 ± 0.240
Coefficient of variation (CV)0.0573 0.0581
Min–max range of strain means3.77   –   4.46   mm 3.77   –   4.47   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 0.0042 0.0042 0.3014 0.5835
strain 12 13.206 1.1005 78.9712 < 0.0001
sex:strain 12 0.246 0.0205 1.4712 0.1359
Residuals 234 3.2609 0.0139


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 f 4.42 0.105   10 0.0331 0.0237 4.26, 4.61 1.07
129S1/SvImJ m 4.43 0.0745   10 0.0236 0.0168 4.32, 4.54 1.23
A/J f 3.87 0.0992   10 0.0314 0.0256 3.69, 3.99 -1.23
A/J m 3.87 0.107   10 0.0339 0.0277 3.71, 4.07 -1.1
BALB/cByJ f 4.4 0.137   10 0.0434 0.0312 4.12, 4.59 0.99
BALB/cByJ m 4.33 0.0526   10 0.0166 0.0122 4.21, 4.41 0.82
C3H/HeJ f 4.21 0.129   10 0.0409 0.0307 4.04, 4.49 0.19
C3H/HeJ m 4.28 0.11   10 0.0347 0.0257 4.12, 4.46 0.61
C57BL/10J f 4.46 0.164   10 0.0518 0.0367 4.2, 4.75 1.24
C57BL/10J m 4.47 0.209   10 0.0661 0.0468 3.98, 4.73 1.4
C57BL/6J f 4.27 0.125   10 0.0397 0.0293 4.1, 4.46 0.44
C57BL/6J m 4.26 0.122   10 0.0385 0.0286 4.07, 4.46 0.53
CAST/EiJ f 3.77 0.128   10 0.0406 0.0341 3.58, 4.05 -1.65
CAST/EiJ m 3.77 0.101   10 0.0319 0.0268 3.59, 3.9 -1.51
CBA/J f 4.0 0.0814   10 0.0257 0.0203 3.85, 4.09 -0.69
CBA/J m 4.03 0.113   10 0.0358 0.028 3.87, 4.25 -0.43
DBA/2J f 4.27 0.15   10 0.0473 0.035 4.06, 4.53 0.44
DBA/2J m 4.22 0.14   10 0.0442 0.0331 4.04, 4.52 0.36
FVB/NJ f 3.85 0.0828   10 0.0262 0.0215 3.72, 3.96 -1.32
FVB/NJ m 3.86 0.0784   10 0.0248 0.0203 3.76, 4.0 -1.14
MOLF/EiJ f 4.08 0.119   10 0.0376 0.0292 3.87, 4.23 -0.35
MOLF/EiJ m 3.9 0.0832   10 0.0263 0.0214 3.71, 4.01 -0.97
PERA/EiJ f 3.97 0.111   10 0.0351 0.0279 3.79, 4.14 -0.81
PERA/EiJ m 3.98 0.0654   10 0.0207 0.0164 3.88, 4.08 -0.64
SJL/J f 4.28 0.168   10 0.0531 0.0392 3.92, 4.5 0.48
SJL/J m 4.34 0.0787   10 0.0249 0.0181 4.17, 4.43 0.86
SPRET/EiJ f 4.45 0.207   8 0.0731 0.0465 4.17, 4.7 1.2


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 4.4175 0.0373 4.491 4.344
129S1/SvImJ m 4.4255 0.0373 4.499 4.352
A/J f 3.869 0.0373 3.9425 3.7955
A/J m 3.874 0.0373 3.9475 3.8005
BALB/cByJ f 4.4005 0.0373 4.474 4.327
BALB/cByJ m 4.3305 0.0373 4.404 4.257
C3H/HeJ f 4.2145 0.0373 4.288 4.141
C3H/HeJ m 4.2835 0.0373 4.357 4.21
C57BL/10J f 4.4555 0.0373 4.529 4.382
C57BL/10J m 4.4675 0.0373 4.541 4.394
C57BL/6J f 4.2725 0.0373 4.346 4.199
C57BL/6J m 4.265 0.0373 4.3385 4.1915
CAST/EiJ f 3.7655 0.0373 3.839 3.692
CAST/EiJ m 3.7695 0.0373 3.843 3.696
CBA/J f 4.0005 0.0373 4.074 3.927
CBA/J m 4.0335 0.0373 4.107 3.96
DBA/2J f 4.269 0.0373 4.3425 4.1955
DBA/2J m 4.2205 0.0373 4.294 4.147
FVB/NJ f 3.85 0.0373 3.9235 3.7765
FVB/NJ m 3.8575 0.0373 3.931 3.784
MOLF/EiJ f 4.078 0.0373 4.1515 4.0045
MOLF/EiJ m 3.8955 0.0373 3.969 3.822
PERA/EiJ f 3.972 0.0373 4.0455 3.8985
PERA/EiJ m 3.981 0.0373 4.0545 3.9075
SJL/J f 4.283 0.0373 4.3565 4.2095
SJL/J m 4.3395 0.0373 4.413 4.266


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 4.4215 0.0264 4.4735 4.3695
A/J both 3.8715 0.0264 3.9235 3.8195
BALB/cByJ both 4.3655 0.0264 4.4175 4.3135
C3H/HeJ both 4.249 0.0264 4.301 4.197
C57BL/10J both 4.4615 0.0264 4.5135 4.4095
C57BL/6J both 4.2688 0.0264 4.3208 4.2167
CAST/EiJ both 3.7675 0.0264 3.8195 3.7155
CBA/J both 4.017 0.0264 4.069 3.965
DBA/2J both 4.2448 0.0264 4.2968 4.1927
FVB/NJ both 3.8538 0.0264 3.9058 3.8017
MOLF/EiJ both 3.9868 0.0264 4.0388 3.9347
PERA/EiJ both 3.9765 0.0264 4.0285 3.9245
SJL/J both 4.3113 0.0264 4.3633 4.2592




  GWAS USING LINEAR MIXED MODELS