Project measure / variable:   Jaxpheno4   HCT8

ID, description, units MPD:22968   HCT8   hematocrit (HCT)   [%]  at age age 8wks  
Data set, strains Jaxpheno4   inbred   11 strains     sex: both     age: 8wks
Procedure complete blood count
Ontology mappings

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

Jaxpheno4 - hematocrit (HCT) at age age 8wks



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested11 strains11 strains
Mean of the strain means48.1   % 50.1   %
Median of the strain means48.2   % 50.0   %
SD of the strain means± 2.25 ± 1.78
Coefficient of variation (CV)0.0468 0.0355
Min–max range of strain means44.0   –   51.5   % 47.2   –   53.1   %
Mean sample size per strain17.0   mice 17.7   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 302.5114 302.5114 79.5636 < 0.0001
strain 10 1232.9122 123.2912 32.4269 < 0.0001
sex:strain 10 245.5432 24.5543 6.458 < 0.0001
Residuals 386 1467.6226 3.8021


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 49.2 1.11   10 0.352 0.0227 47.6, 50.8 0.47
B6.129P2-Apoetm1Unc/J m 50.4 1.51   10 0.479 0.0301 47.8, 53.1 0.17
B6D2F1/J f 51.2 1.41   10 0.446 0.0275 49.7, 54.6 1.36
B6D2F1/J m 52.2 2.16   12 0.623 0.0414 46.6, 54.6 1.18
BALB/cByJ f 48.2 1.58   21 0.345 0.0328 46.1, 51.5 0.02
BALB/cByJ m 48.5 1.49   20 0.334 0.0308 46.2, 51.2 -0.89
BALB/cJ f 48.4 1.76   22 0.375 0.0364 45.2, 51.2 0.11
BALB/cJ m 48.9 2.72   21 0.594 0.0557 43.3, 54.6 -0.67
C3H/HeJ f 45.6 1.08   13 0.299 0.0237 43.9, 47.5 -1.13
C3H/HeJ m 48.8 1.19   11 0.36 0.0244 47.2, 51.0 -0.72
C57BL/6J f 51.5 2.37   42 0.366 0.0461 43.1, 55.2 1.49
C57BL/6J m 52.1 1.59   34 0.273 0.0306 46.9, 54.9 1.13
CBA/J f 47.5 2.56   21 0.56 0.054 39.0, 50.8 -0.29
CBA/J m 50.0 1.94   23 0.405 0.0389 43.6, 53.0 -0.05
DBA/2J f 48.1 2.37   23 0.495 0.0493 42.2, 52.0 -0.02
DBA/2J m 49.8 2.45   20 0.548 0.0492 43.4, 53.5 -0.16
FVB/NJ f 44.0 1.89   11 0.57 0.043 40.5, 47.1 -1.84
FVB/NJ m 50.0 1.75   14 0.467 0.0349 48.1, 53.9 -0.05
NOD.CB17-Prkdcscid/J f 46.4 1.05   11 0.316 0.0226 44.8, 48.5 -0.77
NOD.CB17-Prkdcscid/J m 47.2 1.24   12 0.358 0.0263 45.6, 49.0 -1.62
NOD/ShiLtJ f 49.5 2.04   21 0.445 0.0412 45.1, 52.9 0.6
NOD/ShiLtJ m 53.1 1.78   26 0.349 0.0335 48.4, 56.8 1.69


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
B6.129P2-Apoetm1Unc/J f 49.18 0.6166 50.3923 47.9677
B6.129P2-Apoetm1Unc/J m 50.37 0.6166 51.5823 49.1577
B6D2F1/J f 51.23 0.6166 52.4423 50.0177
B6D2F1/J m 52.1667 0.5629 53.2734 51.06
BALB/cByJ f 48.2381 0.4255 49.0747 47.4015
BALB/cByJ m 48.48 0.436 49.3373 47.6227
BALB/cJ f 48.35 0.4157 49.1674 47.5326
BALB/cJ m 48.8905 0.4255 49.7271 48.0539
C3H/HeJ f 45.5615 0.5408 46.6248 44.4982
C3H/HeJ m 48.8364 0.5879 49.9923 47.6804
C57BL/6J f 51.469 0.3009 52.0606 50.8775
C57BL/6J m 52.0559 0.3344 52.7134 51.3984
CBA/J f 47.5333 0.4255 48.3699 46.6967
CBA/J m 49.9609 0.4066 50.7603 49.1615
DBA/2J f 48.0739 0.4066 48.8733 47.2745
DBA/2J m 49.79 0.436 50.6473 48.9327
FVB/NJ f 43.9909 0.5879 45.1468 42.835
FVB/NJ m 50.0286 0.5211 51.0532 49.004
NOD.CB17-Prkdcscid/J f 46.4273 0.5879 47.5832 45.2713
NOD.CB17-Prkdcscid/J m 47.225 0.5629 48.3317 46.1183
NOD/ShiLtJ f 49.5238 0.4255 50.3604 48.6872
NOD/ShiLtJ m 53.0962 0.3824 53.848 52.3443


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
B6.129P2-Apoetm1Unc/J both 49.775 0.436 50.6323 48.9177
B6D2F1/J both 51.6983 0.4174 52.5191 50.8776
BALB/cByJ both 48.359 0.3046 48.958 47.7601
BALB/cJ both 48.6202 0.2974 49.205 48.0354
C3H/HeJ both 47.199 0.3994 47.9842 46.4137
C57BL/6J both 51.7625 0.2249 52.2047 51.3202
CBA/J both 48.7471 0.2943 49.3257 48.1685
DBA/2J both 48.932 0.2981 49.518 48.3459
FVB/NJ both 47.0097 0.3928 47.7821 46.2374
NOD.CB17-Prkdcscid/J both 46.8261 0.407 47.6263 46.026
NOD/ShiLtJ both 51.31 0.286 51.8724 50.7476




  GWAS USING LINEAR MIXED MODELS