Project measure / variable:   Jaxpheno2   brain8

ID, description, units MPD:22701   brain8   brain weight   [g]  at age 8wks  
Data set, strains Jaxpheno2   inbred   11 strains     sex: both     age: 8wks
Procedure organ weights
Ontology mappings

  STRAIN COMPARISON PLOT
Dimensions Width:   px    Height:   px
Download Plot   
Visualization Options

Jaxpheno2 - brain weight at age 8wks



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested11 strains11 strains
Mean of the strain means0.414   g 0.417   g
Median of the strain means0.417   g 0.422   g
SD of the strain means± 0.0312 ± 0.0323
Coefficient of variation (CV)0.0754 0.0774
Min–max range of strain means0.354   –   0.475   g 0.349   –   0.458   g
Mean sample size per strain7.9   mice 8.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0 0.0 0.0355 0.8508
strain 10 0.1983 0.0198 41.9125 < 0.0001
sex:strain 10 0.0057 0.0006 1.213 0.2858
Residuals 169 0.08 0.0005


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
B6.129P2-Apoetm1Unc/J f 0.391 0.0398   5 0.0178 0.102 0.327, 0.428 -0.73
B6.129P2-Apoetm1Unc/J m 0.414 0.02   5 0.00892 0.0482 0.394, 0.446 -0.09
B6D2F1/J f 0.417 0.032   6 0.0131 0.0767 0.363, 0.455 0.11
B6D2F1/J m 0.41 0.00518   5 0.00232 0.0126 0.402, 0.415 -0.22
BALB/cByJ f 0.386 0.0171   10 0.00541 0.0444 0.359, 0.407 -0.89
BALB/cByJ m 0.377 0.0178   10 0.00562 0.0472 0.346, 0.398 -1.24
BALB/cJ f 0.402 0.0311   10 0.00985 0.0774 0.338, 0.44 -0.37
BALB/cJ m 0.406 0.024   10 0.00758 0.0591 0.363, 0.439 -0.34
C3H/HeJ f 0.425 0.0101   5 0.00451 0.0237 0.414, 0.441 0.36
C3H/HeJ m 0.422 0.0316   5 0.0141 0.0748 0.381, 0.45 0.15
C57BL/6J f 0.417 0.0138   15 0.00356 0.033 0.397, 0.447 0.11
C57BL/6J m 0.423 0.0238   15 0.00615 0.0563 0.349, 0.45 0.19
CBA/J f 0.419 0.0256   10 0.00811 0.0611 0.361, 0.449 0.17
CBA/J m 0.43 0.0136   15 0.00352 0.0317 0.411, 0.448 0.4
DBA/2J f 0.354 0.0203   10 0.00643 0.0574 0.311, 0.377 -1.91
DBA/2J m 0.349 0.0112   15 0.00288 0.0319 0.328, 0.367 -2.11
FVB/NJ f 0.424 0.0351   5 0.0157 0.0827 0.379, 0.472 0.33
FVB/NJ m 0.444 0.0167   5 0.00747 0.0376 0.415, 0.456 0.84
NOD.CB17-Prkdcscid/J f 0.44 0.0138   5 0.00616 0.0313 0.418, 0.45 0.85
NOD.CB17-Prkdcscid/J m 0.454 0.00464   5 0.00207 0.0102 0.449, 0.46 1.15
NOD/ShiLtJ f 0.475 0.0117   10 0.0037 0.0246 0.465, 0.505 1.97
NOD/ShiLtJ m 0.458 0.0339   10 0.0107 0.074 0.376, 0.483 1.27


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
B6.129P2-Apoetm1Unc/J f 0.3908 0.0097 0.41 0.3716
B6.129P2-Apoetm1Unc/J m 0.4142 0.0097 0.4334 0.395
B6D2F1/J f 0.4173 0.0089 0.4349 0.3998
B6D2F1/J m 0.4096 0.0097 0.4288 0.3904
BALB/cByJ f 0.3856 0.0069 0.3992 0.372
BALB/cByJ m 0.377 0.0069 0.3906 0.3634
BALB/cJ f 0.4021 0.0069 0.4157 0.3885
BALB/cJ m 0.4057 0.0069 0.4193 0.3921
C3H/HeJ f 0.4248 0.0097 0.444 0.4056
C3H/HeJ m 0.4222 0.0097 0.4414 0.403
C57BL/6J f 0.4174 0.0056 0.4285 0.4063
C57BL/6J m 0.4234 0.0056 0.4345 0.4123
CBA/J f 0.4193 0.0069 0.4329 0.4057
CBA/J m 0.4303 0.0056 0.4414 0.4192
DBA/2J f 0.3542 0.0069 0.3678 0.3406
DBA/2J m 0.3495 0.0056 0.3606 0.3384
FVB/NJ f 0.4244 0.0097 0.4436 0.4052
FVB/NJ m 0.4438 0.0097 0.463 0.4246
NOD.CB17-Prkdcscid/J f 0.44 0.0097 0.4592 0.4208
NOD.CB17-Prkdcscid/J m 0.454 0.0097 0.4732 0.4348
NOD/ShiLtJ f 0.4749 0.0069 0.4885 0.4613
NOD/ShiLtJ m 0.4584 0.0069 0.472 0.4448


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
B6.129P2-Apoetm1Unc/J both 0.4025 0.0069 0.4161 0.3889
B6D2F1/J both 0.4135 0.0066 0.4265 0.4005
BALB/cByJ both 0.3813 0.0049 0.3909 0.3717
BALB/cJ both 0.4039 0.0049 0.4135 0.3943
C3H/HeJ both 0.4235 0.0069 0.4371 0.4099
C57BL/6J both 0.4204 0.004 0.4282 0.4126
CBA/J both 0.4248 0.0044 0.4336 0.4161
DBA/2J both 0.3518 0.0044 0.3606 0.3431
FVB/NJ both 0.4341 0.0069 0.4477 0.4205
NOD.CB17-Prkdcscid/J both 0.447 0.0069 0.4606 0.4334
NOD/ShiLtJ both 0.4666 0.0049 0.4763 0.457




  GWAS USING LINEAR MIXED MODELS