Project measure / variable:   Wahlsten1   brain_wt

ID, description, units MPD:10804   brain_wt   brain weight, after fixation and trimming   [g]  weight  
Data set, strains Wahlsten1   inbred   21 strains     sex: both     age: 12wks
Procedure organ weights
Ontology mappings

  STRAIN COMPARISON PLOT
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Wahlsten1 - brain weight, after fixation and trimming weight



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested21 strains20 strains
Mean of the strain means0.452   g 0.455   g
Median of the strain means0.451   g 0.457   g
SD of the strain means± 0.0526 ± 0.0498
Coefficient of variation (CV)0.116 0.110
Min–max range of strain means0.320   –   0.558   g 0.319   –   0.540   g
Mean sample size per strain9.5   mice 9.6   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 0.0 0.0 0.0327 0.8566
strain 19 0.8645 0.0455 162.5398 < 0.0001
sex:strain 19 0.011 0.0006 2.0701 0.0057
Residuals 345 0.0966 0.0003


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 0.486 0.0193   10 0.00611 0.0397 0.453, 0.51 0.64
129S1/SvImJ m 0.483 0.0201   10 0.00635 0.0416 0.455, 0.514 0.57
A/J f 0.412 0.0108   8 0.00381 0.0261 0.392, 0.424 -0.77
A/J m 0.424 0.013   10 0.00412 0.0308 0.403, 0.436 -0.62
AKR/J f 0.491 0.0111   9 0.00369 0.0225 0.467, 0.5 0.74
AKR/J m 0.477 0.0127   8 0.0045 0.0267 0.453, 0.491 0.45
BALB/cByJ f 0.451 0.0194   10 0.00615 0.0431 0.42, 0.476 -0.02
BALB/cByJ m 0.443 0.0199   10 0.00629 0.045 0.407, 0.466 -0.24
BTBR T+ Itpr3tf/J f 0.475 0.0198   12 0.00573 0.0418 0.441, 0.504 0.43
BTBR T+ Itpr3tf/J m 0.468 0.0131   6 0.00537 0.0281 0.455, 0.49 0.26
C3H/HeJ f 0.455 0.0231   10 0.00729 0.0507 0.405, 0.484 0.05
C3H/HeJ m 0.461 0.0132   8 0.00467 0.0287 0.436, 0.476 0.12
C57BL/6J f 0.479 0.0109   8 0.00385 0.0227 0.471, 0.503 0.51
C57BL/6J m 0.503 0.0126   10 0.00397 0.025 0.487, 0.522 0.97
C57L/J f 0.451 0.015   10 0.00474 0.0332 0.433, 0.48 -0.02
C57L/J m 0.453 0.0151   8 0.00533 0.0333 0.434, 0.483 -0.04
C58/J f 0.442 0.0191   9 0.00636 0.0431 0.409, 0.467 -0.19
C58/J m 0.432 0.0141   10 0.00445 0.0326 0.403, 0.454 -0.46
CAST/EiJ f 0.385 0.0105   9 0.00349 0.0272 0.373, 0.399 -1.28
CAST/EiJ m 0.391 0.0109   9 0.00363 0.0278 0.376, 0.412 -1.28
DBA/2J f 0.432 0.0158   10 0.00499 0.0365 0.41, 0.451 -0.38
DBA/2J m 0.413 0.0172   8 0.00609 0.0417 0.395, 0.438 -0.84
FVB/NJ f 0.486 0.0099   10 0.00313 0.0204 0.47, 0.501 0.64
FVB/NJ m 0.494 0.0162   11 0.00487 0.0327 0.47, 0.525 0.79
MOLF/EiJ f 0.32 0.0106   8 0.00373 0.033 0.306, 0.338 -2.51
MOLF/EiJ m 0.319 0.00786   6 0.00321 0.0246 0.306, 0.33 -2.72
NOD/ShiLtJ f 0.558 0.0202   12 0.00584 0.0363 0.537, 0.601 2.01
NOD/ShiLtJ m 0.54 0.0155   12 0.00449 0.0288 0.509, 0.564 1.71
NZB/BlNJ f 0.518 0.0113   6 0.00461 0.0218 0.5, 0.531 1.25
NZB/BlNJ m 0.51 0.0177   12 0.0051 0.0346 0.476, 0.539 1.11
PERA/EiJ f 0.415 0.0186   10 0.00589 0.0449 0.391, 0.454 -0.71
PERA/EiJ m 0.416 0.0224   12 0.00646 0.0539 0.385, 0.453 -0.78
PL/J f 0.507 0.0165   12 0.00476 0.0325 0.485, 0.542 1.04
PL/J m 0.504 0.00929   8 0.00328 0.0184 0.49, 0.514 0.99
SJL/J f 0.425 0.0201   8 0.0071 0.0472 0.404, 0.46 -0.52
SJL/J m 0.44 0.0297   12 0.00856 0.0674 0.383, 0.504 -0.3
SM/J f 0.482 0.017   14 0.00454 0.0353 0.453, 0.514 0.57
SM/J m 0.489 0.0134   10 0.00423 0.0274 0.46, 0.505 0.69
SPRET/EiJ f 0.385 0.0208   5 0.00931 0.0541 0.364, 0.413 -1.28
SWR/J f 0.442 0.00711   10 0.00225 0.0161 0.426, 0.449 -0.19
SWR/J m 0.436 0.0208   10 0.00657 0.0477 0.401, 0.456 -0.38


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.4858 0.0053 0.4962 0.4754
129S1/SvImJ m 0.4825 0.0053 0.4929 0.4721
A/J f 0.4125 0.0059 0.4241 0.4009
A/J m 0.4241 0.0053 0.4345 0.4137
AKR/J f 0.4913 0.0056 0.5023 0.4804
AKR/J m 0.4772 0.0059 0.4889 0.4656
BALB/cByJ f 0.4509 0.0053 0.4613 0.4405
BALB/cByJ m 0.4425 0.0053 0.4529 0.4321
BTBR T+ Itpr3tf/J f 0.4751 0.0048 0.4846 0.4656
BTBR T+ Itpr3tf/J m 0.4685 0.0068 0.4819 0.4551
C3H/HeJ f 0.4546 0.0053 0.465 0.4442
C3H/HeJ m 0.461 0.0059 0.4726 0.4494
C57BL/6J f 0.4795 0.0059 0.4911 0.4679
C57BL/6J m 0.5029 0.0053 0.5133 0.4925
C57L/J f 0.4509 0.0053 0.4613 0.4405
C57L/J m 0.4534 0.0059 0.465 0.4417
C58/J f 0.442 0.0056 0.453 0.431
C58/J m 0.4321 0.0053 0.4425 0.4217
CAST/EiJ f 0.3853 0.0056 0.3963 0.3744
CAST/EiJ m 0.3913 0.0056 0.4023 0.3804
DBA/2J f 0.4321 0.0053 0.4425 0.4217
DBA/2J m 0.4133 0.0059 0.4249 0.4016
FVB/NJ f 0.4856 0.0053 0.496 0.4752
FVB/NJ m 0.4941 0.005 0.504 0.4842
MOLF/EiJ f 0.32 0.0059 0.3316 0.3084
MOLF/EiJ m 0.3192 0.0068 0.3326 0.3057
NOD/ShiLtJ f 0.5583 0.0048 0.5678 0.5488
NOD/ShiLtJ m 0.5403 0.0048 0.5497 0.5308
NZB/BlNJ f 0.5178 0.0068 0.5313 0.5044
NZB/BlNJ m 0.5103 0.0048 0.5197 0.5008
PERA/EiJ f 0.4153 0.0053 0.4257 0.4049
PERA/EiJ m 0.4156 0.0048 0.4251 0.4061
PL/J f 0.5072 0.0048 0.5167 0.4978
PL/J m 0.5044 0.0059 0.516 0.4927
SJL/J f 0.4251 0.0059 0.4368 0.4135
SJL/J m 0.4403 0.0048 0.4498 0.4308
SM/J f 0.4821 0.0045 0.4909 0.4733
SM/J m 0.4893 0.0053 0.4997 0.4789
SWR/J f 0.4421 0.0053 0.4525 0.4317
SWR/J m 0.4361 0.0053 0.4465 0.4257


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.4842 0.0037 0.4915 0.4768
A/J both 0.4183 0.004 0.4261 0.4105
AKR/J both 0.4843 0.0041 0.4923 0.4763
BALB/cByJ both 0.4467 0.0037 0.4541 0.4393
BTBR T+ Itpr3tf/J both 0.4718 0.0042 0.48 0.4636
C3H/HeJ both 0.4578 0.004 0.4656 0.45
C57BL/6J both 0.4912 0.004 0.499 0.4834
C57L/J both 0.4521 0.004 0.4599 0.4443
C58/J both 0.4371 0.0038 0.4446 0.4295
CAST/EiJ both 0.3883 0.0039 0.3961 0.3806
DBA/2J both 0.4227 0.004 0.4305 0.4149
FVB/NJ both 0.4898 0.0037 0.497 0.4827
MOLF/EiJ both 0.3196 0.0045 0.3285 0.3107
NOD/ShiLtJ both 0.5493 0.0034 0.556 0.5426
NZB/BlNJ both 0.514 0.0042 0.5223 0.5058
PERA/EiJ both 0.4154 0.0036 0.4225 0.4084
PL/J both 0.5058 0.0038 0.5133 0.4983
SJL/J both 0.4327 0.0038 0.4402 0.4252
SM/J both 0.4857 0.0035 0.4925 0.4789
SWR/J both 0.4391 0.0037 0.4465 0.4317




  GWAS USING LINEAR MIXED MODELS