Project measure / variable:   Everett1   ant_length


  STRAIN COMPARISON PLOT
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Everett1 - mandible, infradentale to menton



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested14 strains13 strains
Mean of the strain means3.47   mm 3.52   mm
Median of the strain means3.48   mm 3.54   mm
SD of the strain means± 0.312 ± 0.330
Coefficient of variation (CV)0.0898 0.0938
Min–max range of strain means2.86   –   3.96   mm 2.90   –   4.04   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 0.0609 0.0609 2.6649 0.1039
strain 12 24.9232 2.0769 90.9493 < 0.0001
sex:strain 12 0.1675 0.014 0.6111 0.8319
Residuals 232 5.298 0.0228


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 3.89 0.0683   10 0.0216 0.0176 3.8, 4.01 1.34
129S1/SvImJ m 3.99 0.0608   10 0.0192 0.0152 3.87, 4.08 1.42
A/J f 3.5 0.14   10 0.0442 0.04 3.2, 3.72 0.09
A/J m 3.54 0.101   9 0.0335 0.0284 3.4, 3.68 0.06
BALB/cByJ f 3.19 0.0897   10 0.0284 0.0282 2.98, 3.27 -0.9
BALB/cByJ m 3.22 0.11   10 0.0347 0.0341 3.06, 3.4 -0.91
C3H/HeJ f 3.63 0.121   10 0.0382 0.0332 3.43, 3.81 0.51
C3H/HeJ m 3.63 0.0849   10 0.0269 0.0234 3.5, 3.77 0.33
C57BL/10J f 3.89 0.114   10 0.0359 0.0292 3.67, 4.03 1.34
C57BL/10J m 3.83 0.447   9 0.149 0.117 2.68, 4.13 0.93
C57BL/6J f 3.96 0.108   10 0.0343 0.0274 3.79, 4.12 1.57
C57BL/6J m 4.04 0.0853   10 0.027 0.0211 3.88, 4.14 1.57
CAST/EiJ f 2.86 0.0908   10 0.0287 0.0317 2.75, 3.04 -1.96
CAST/EiJ m 2.9 0.0979   10 0.031 0.0337 2.75, 3.06 -1.88
CBA/J f 3.45 0.137   10 0.0434 0.0398 3.1, 3.62 -0.07
CBA/J m 3.54 0.136   10 0.0429 0.0383 3.27, 3.69 0.06
DBA/2J f 3.18 0.202   10 0.0639 0.0635 2.78, 3.6 -0.93
DBA/2J m 3.16 0.0575   10 0.0182 0.0182 3.04, 3.21 -1.09
FVB/NJ f 3.56 0.0721   10 0.0228 0.0203 3.42, 3.65 0.28
FVB/NJ m 3.59 0.108   10 0.0343 0.0302 3.43, 3.79 0.21
MOLF/EiJ f 3.31 0.148   10 0.0469 0.0448 3.08, 3.6 -0.52
MOLF/EiJ m 3.27 0.11   10 0.0347 0.0336 3.05, 3.42 -0.76
PERA/EiJ f 3.35 0.226   10 0.0713 0.0673 3.08, 3.8 -0.39
PERA/EiJ m 3.4 0.255   10 0.0807 0.075 2.94, 3.87 -0.37
SJL/J f 3.58 0.112   10 0.0356 0.0314 3.43, 3.79 0.35
SJL/J m 3.67 0.145   10 0.0459 0.0395 3.32, 3.87 0.45
SPRET/EiJ f 3.25 0.153   8 0.0539 0.0469 3.0, 3.42 -0.71


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 3.892 0.0478 3.9862 3.7978
129S1/SvImJ m 3.988 0.0478 4.0822 3.8938
A/J f 3.4955 0.0478 3.5897 3.4013
A/J m 3.5411 0.0504 3.6404 3.4419
BALB/cByJ f 3.185 0.0478 3.2792 3.0908
BALB/cByJ m 3.2185 0.0478 3.3127 3.1243
C3H/HeJ f 3.6345 0.0478 3.7287 3.5403
C3H/HeJ m 3.629 0.0478 3.7232 3.5348
C57BL/10J f 3.892 0.0478 3.9862 3.7978
C57BL/10J m 3.8294 0.0504 3.9287 3.7302
C57BL/6J f 3.959 0.0478 4.0532 3.8648
C57BL/6J m 4.0395 0.0478 4.1337 3.9453
CAST/EiJ f 2.863 0.0478 2.9572 2.7688
CAST/EiJ m 2.902 0.0478 2.9962 2.8078
CBA/J f 3.445 0.0478 3.5392 3.3508
CBA/J m 3.542 0.0478 3.6362 3.4478
DBA/2J f 3.181 0.0478 3.2752 3.0868
DBA/2J m 3.1565 0.0478 3.2507 3.0623
FVB/NJ f 3.56 0.0478 3.6542 3.4658
FVB/NJ m 3.5905 0.0478 3.6847 3.4963
MOLF/EiJ f 3.312 0.0478 3.4062 3.2178
MOLF/EiJ m 3.27 0.0478 3.3642 3.1758
PERA/EiJ f 3.3505 0.0478 3.4447 3.2563
PERA/EiJ m 3.403 0.0478 3.4972 3.3088
SJL/J f 3.58 0.0478 3.6742 3.4858
SJL/J m 3.6725 0.0478 3.7667 3.5783


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 3.94 0.0338 4.0066 3.8734
A/J both 3.5183 0.0347 3.5867 3.4499
BALB/cByJ both 3.2017 0.0338 3.2683 3.1352
C3H/HeJ both 3.6317 0.0338 3.6983 3.5652
C57BL/10J both 3.8607 0.0347 3.9291 3.7923
C57BL/6J both 3.9992 0.0338 4.0658 3.9327
CAST/EiJ both 2.8825 0.0338 2.9491 2.8159
CBA/J both 3.4935 0.0338 3.5601 3.4269
DBA/2J both 3.1687 0.0338 3.2353 3.1022
FVB/NJ both 3.5752 0.0338 3.6418 3.5087
MOLF/EiJ both 3.291 0.0338 3.3576 3.2244
PERA/EiJ both 3.3767 0.0338 3.4433 3.3102
SJL/J both 3.6262 0.0338 3.6928 3.5597




  GWAS USING LINEAR MIXED MODELS