Project measure / variable:   Everett1   mid_height


  STRAIN COMPARISON PLOT
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Everett1 - mandible, posterior molar to menton



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means3.47   mm 3.51   mm
Median of the strain means3.49   mm 3.60   mm
SD of the strain means± 0.193 ± 0.193
Coefficient of variation (CV)0.0556 0.0551
Min–max range of strain means3.08   –   3.67   mm 3.19   –   3.72   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 0.0676 0.0676 7.4438 0.0069
strain 12 9.0752 0.7563 83.3276 < 0.0001
sex:strain 12 0.1136 0.0095 1.0434 0.4099
Residuals 232 2.1056 0.0091


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 3.67 0.108   10 0.0341 0.0294 3.5, 3.81 1.06
129S1/SvImJ m 3.72 0.0575   10 0.0182 0.0155 3.64, 3.83 1.1
A/J f 3.44 0.0689   10 0.0218 0.02 3.33, 3.54 -0.13
A/J m 3.49 0.13   9 0.0434 0.0373 3.24, 3.67 -0.09
BALB/cByJ f 3.64 0.0686   10 0.0217 0.0188 3.52, 3.75 0.91
BALB/cByJ m 3.68 0.0553   10 0.0175 0.015 3.6, 3.77 0.89
C3H/HeJ f 3.57 0.116   10 0.0366 0.0324 3.38, 3.74 0.55
C3H/HeJ m 3.64 0.0779   10 0.0246 0.0214 3.56, 3.81 0.68
C57BL/10J f 3.67 0.127   10 0.04 0.0345 3.46, 3.83 1.06
C57BL/10J m 3.64 0.18   9 0.0599 0.0493 3.21, 3.81 0.68
C57BL/6J f 3.65 0.0903   10 0.0286 0.0247 3.5, 3.79 0.96
C57BL/6J m 3.7 0.0631   10 0.02 0.0171 3.56, 3.81 0.99
CAST/EiJ f 3.08 0.135   10 0.0426 0.0437 2.87, 3.26 -2.0
CAST/EiJ m 3.2 0.105   10 0.0332 0.0328 3.04, 3.35 -1.59
CBA/J f 3.64 0.053   10 0.0167 0.0145 3.54, 3.7 0.91
CBA/J m 3.63 0.111   10 0.0352 0.0307 3.38, 3.79 0.63
DBA/2J f 3.43 0.116   10 0.0368 0.0339 3.2, 3.61 -0.18
DBA/2J m 3.45 0.0931   10 0.0294 0.027 3.31, 3.55 -0.3
FVB/NJ f 3.54 0.0362   10 0.0115 0.0102 3.48, 3.61 0.39
FVB/NJ m 3.6 0.0564   10 0.0178 0.0157 3.52, 3.71 0.48
MOLF/EiJ f 3.24 0.0646   10 0.0204 0.02 3.11, 3.35 -1.17
MOLF/EiJ m 3.19 0.0682   10 0.0216 0.0214 3.13, 3.33 -1.64
PERA/EiJ f 3.38 0.113   10 0.0356 0.0334 3.19, 3.54 -0.44
PERA/EiJ m 3.42 0.128   10 0.0406 0.0375 3.27, 3.65 -0.45
SJL/J f 3.21 0.0657   10 0.0208 0.0205 3.07, 3.31 -1.32
SJL/J m 3.24 0.0427   10 0.0135 0.0132 3.17, 3.33 -1.38
SPRET/EiJ f 3.35 0.0784   8 0.0277 0.0234 3.21, 3.48 -0.6


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 3.671 0.0301 3.7304 3.6116
129S1/SvImJ m 3.7195 0.0301 3.7789 3.6601
A/J f 3.436 0.0301 3.4954 3.3766
A/J m 3.4922 0.0318 3.5548 3.4297
BALB/cByJ f 3.639 0.0301 3.6984 3.5796
BALB/cByJ m 3.678 0.0301 3.7374 3.6186
C3H/HeJ f 3.573 0.0301 3.6324 3.5136
C3H/HeJ m 3.645 0.0301 3.7044 3.5856
C57BL/10J f 3.6685 0.0301 3.7279 3.6091
C57BL/10J m 3.6444 0.0318 3.707 3.5819
C57BL/6J f 3.6505 0.0301 3.7099 3.5911
C57BL/6J m 3.695 0.0301 3.7544 3.6356
CAST/EiJ f 3.083 0.0301 3.1424 3.0236
CAST/EiJ m 3.2015 0.0301 3.2609 3.1421
CBA/J f 3.641 0.0301 3.7004 3.5816
CBA/J m 3.6315 0.0301 3.6909 3.5721
DBA/2J f 3.4345 0.0301 3.4939 3.3751
DBA/2J m 3.4455 0.0301 3.5049 3.3861
FVB/NJ f 3.5425 0.0301 3.6019 3.4831
FVB/NJ m 3.598 0.0301 3.6574 3.5386
MOLF/EiJ f 3.2365 0.0301 3.2959 3.1771
MOLF/EiJ m 3.1855 0.0301 3.2449 3.1261
PERA/EiJ f 3.376 0.0301 3.4354 3.3166
PERA/EiJ m 3.4155 0.0301 3.4749 3.3561
SJL/J f 3.2085 0.0301 3.2679 3.1491
SJL/J m 3.2415 0.0301 3.3009 3.1821


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3.6953 0.0213 3.7372 3.6533
A/J both 3.4641 0.0219 3.5072 3.421
BALB/cByJ both 3.6585 0.0213 3.7005 3.6165
C3H/HeJ both 3.609 0.0213 3.651 3.567
C57BL/10J both 3.6565 0.0219 3.6996 3.6134
C57BL/6J both 3.6727 0.0213 3.7147 3.6308
CAST/EiJ both 3.1422 0.0213 3.1842 3.1003
CBA/J both 3.6362 0.0213 3.6782 3.5943
DBA/2J both 3.44 0.0213 3.482 3.398
FVB/NJ both 3.5703 0.0213 3.6122 3.5283
MOLF/EiJ both 3.211 0.0213 3.253 3.169
PERA/EiJ both 3.3958 0.0213 3.4377 3.3538
SJL/J both 3.225 0.0213 3.267 3.183




  GWAS USING LINEAR MIXED MODELS