Project measure / variable:   Donahue1   total_wt

ID, description, units MPD:11514   total_wt   total tissue mass, head excluded   [g]  
Data set, strains Donahue1   inbred w/CC7   30 strains     sex: both     age: 15-16wks
Procedure DXA
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  STRAIN COMPARISON PLOT
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Donahue1 - total tissue mass, head excluded



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested30 strains30 strains
Mean of the strain means17.5   g 22.2   g
Median of the strain means18.1   g 23.5   g
SD of the strain means± 4.89 ± 5.28
Coefficient of variation (CV)0.280 0.238
Min–max range of strain means8.94   –   30.3   g 11.9   –   32.3   g
Mean sample size per strain10.2   mice 9.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 3489.2388 3489.2388 1001.3986 < 0.0001
strain 29 14607.8894 503.7203 144.5659 < 0.0001
sex:strain 29 540.29 18.6307 5.3469 < 0.0001
Residuals 547 1905.9479 3.4844


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
129S1/SvImJ f 16.3 1.07   10 0.338 0.0655 14.1, 17.7 -0.24
129S1/SvImJ m 23.8 2.75   10 0.871 0.116 21.3, 30.9 0.31
129X1/SvJ f 18.9 1.17   10 0.371 0.0619 17.5, 21.1 0.29
129X1/SvJ m 24.0 1.54   10 0.486 0.064 21.8, 26.3 0.35
A/J f 19.0 1.9   10 0.602 0.1 16.0, 21.3 0.31
A/J m 23.2 2.29   10 0.724 0.0986 20.9, 27.5 0.2
AKR/J f 30.3 3.53   10 1.12 0.117 25.6, 35.5 2.62
AKR/J m 32.3 2.64   10 0.836 0.0819 29.0, 37.3 1.92
BALB/cJ f 19.5 1.99   10 0.63 0.102 15.6, 23.1 0.41
BALB/cJ m 25.1 1.05   10 0.333 0.042 23.8, 27.5 0.55
BTBR T+ Itpr3tf/J f 23.9 1.74   9 0.58 0.0727 21.3, 26.4 1.31
BTBR T+ Itpr3tf/J m 27.0 2.66   10 0.841 0.0984 22.9, 32.1 0.91
BUB/BnJ f 21.9 1.43   10 0.451 0.0651 20.4, 24.3 0.9
BUB/BnJ m 25.1 2.43   10 0.769 0.0968 19.9, 27.1 0.55
C3H/HeJ f 20.4 2.07   10 0.656 0.102 17.1, 23.9 0.6
C3H/HeJ m 26.2 2.82   10 0.893 0.108 21.4, 29.6 0.76
C57BL/6J f 16.9 1.51   10 0.476 0.089 14.6, 19.6 -0.12
C57BL/6J m 26.0 1.51   10 0.476 0.0579 24.1, 28.5 0.73
C57L/J f 18.2 0.978   10 0.309 0.0537 17.0, 19.8 0.15
C57L/J m 25.4 1.64   10 0.52 0.0648 22.7, 27.8 0.61
C58/J f 19.5 2.54   10 0.802 0.13 16.2, 23.2 0.41
C58/J m 26.5 1.77   9 0.589 0.0667 23.5, 28.4 0.82
CAST/EiJ f 11.7 0.732   10 0.232 0.0628 10.8, 13.2 -1.18
CAST/EiJ m 13.5 1.08   10 0.342 0.08 12.3, 15.1 -1.64
CZECHII/EiJ f 10.5 0.75   12 0.217 0.0715 9.3, 12.3 -1.43
CZECHII/EiJ m 13.4 1.57   12 0.454 0.117 10.1, 15.7 -1.66
DBA/2J f 19.8 1.81   10 0.572 0.0916 16.7, 23.7 0.47
DBA/2J m 25.8 2.71   10 0.856 0.105 21.4, 29.5 0.69
FVB/NJ f 19.7 1.37   10 0.434 0.0696 17.9, 22.2 0.45
FVB/NJ m 23.2 1.47   10 0.466 0.0636 21.6, 26.5 0.2
JF1/MsJ f 13.9 1.26   11 0.38 0.091 12.4, 16.7 -0.73
JF1/MsJ m 20.4 1.78   10 0.564 0.0875 17.8, 23.0 -0.34
MOLF/EiJ f 10.4 0.586   10 0.185 0.0564 9.8, 11.4 -1.45
MOLF/EiJ m 12.7 0.718   8 0.254 0.0566 12.1, 14.2 -1.79
MSM/MsJ f 8.94 0.617   11 0.186 0.069 8.2, 10.2 -1.75
MSM/MsJ m 11.9 0.971   9 0.324 0.0813 10.3, 13.4 -1.94
NOD/ShiLtJ f 20.9 1.02   10 0.322 0.0488 19.2, 22.2 0.7
NOD/ShiLtJ m 25.8 2.2   10 0.697 0.0856 20.7, 28.4 0.69
NZB/BlNJ f 20.3 1.49   10 0.472 0.0736 17.6, 22.1 0.58
NZB/BlNJ m 24.6 1.89   10 0.599 0.077 21.2, 27.0 0.46
NZW/LacJ f 24.6 2.09   10 0.662 0.0853 20.5, 27.3 1.46
NZW/LacJ m 27.0 2.78   10 0.879 0.103 23.7, 32.7 0.91
PERA/EiJ f 18.1 1.1   10 0.346 0.0604 17.1, 19.9 0.13
PERA/EiJ m 21.3 1.99   10 0.629 0.0934 19.3, 26.2 -0.16
PL/J f 16.0 1.29   10 0.408 0.0807 14.0, 18.4 -0.3
PL/J m 21.3 2.28   11 0.688 0.107 19.0, 26.8 -0.16
PWK/PhJ f 12.2 1.02   13 0.284 0.0837 10.3, 13.8 -1.08
PWK/PhJ m 18.1 2.62   9 0.873 0.145 15.4, 23.9 -0.77
SEA/GnJ f 22.5 3.69   14 0.985 0.164 17.0, 27.8 1.03
SEA/GnJ m 28.1 3.41   10 1.08 0.121 21.2, 31.2 1.12
SJL/J f 16.2 1.24   10 0.392 0.0765 15.0, 19.0 -0.26
SJL/J m 22.1 1.48   10 0.467 0.0668 20.3, 25.0 -0.01
SM/J f 15.4 1.38   10 0.437 0.0897 13.5, 17.7 -0.42
SM/J m 23.0 1.67   10 0.528 0.0726 19.8, 25.4 0.16
SPRET/EiJ f 10.8 0.803   9 0.268 0.0744 9.7, 12.2 -1.37
SPRET/EiJ m 14.5 1.95   10 0.618 0.135 10.9, 17.7 -1.45
SWR/J f 16.4 0.955   10 0.302 0.0581 15.2, 18.1 -0.22
SWR/J m 20.3 1.07   10 0.338 0.0527 18.7, 21.9 -0.35
WSB/EiJ f 11.2 0.72   10 0.228 0.064 9.6, 12.3 -1.28
WSB/EiJ m 13.5 0.951   10 0.301 0.0706 11.3, 14.6 -1.64


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 16.3 0.5903 17.4595 15.1405
129S1/SvImJ m 23.8 0.5903 24.9595 22.6405
129X1/SvJ f 18.92 0.5903 20.0795 17.7605
129X1/SvJ m 24.01 0.5903 25.1695 22.8505
A/J f 18.97 0.5903 20.1295 17.8105
A/J m 23.23 0.5903 24.3895 22.0705
AKR/J f 30.32 0.5903 31.4795 29.1605
AKR/J m 32.27 0.5903 33.4295 31.1105
BALB/cJ f 19.5 0.5903 20.6595 18.3405
BALB/cJ m 25.08 0.5903 26.2395 23.9205
BTBR T+ Itpr3tf/J f 23.9333 0.6222 25.1556 22.7111
BTBR T+ Itpr3tf/J m 27.04 0.5903 28.1995 25.8805
BUB/BnJ f 21.93 0.5903 23.0895 20.7705
BUB/BnJ m 25.13 0.5903 26.2895 23.9705
C3H/HeJ f 20.39 0.5903 21.5495 19.2305
C3H/HeJ m 26.25 0.5903 27.4095 25.0905
C57BL/6J f 16.91 0.5903 18.0695 15.7505
C57BL/6J m 25.99 0.5903 27.1495 24.8305
C57L/J f 18.21 0.5903 19.3695 17.0505
C57L/J m 25.35 0.5903 26.5095 24.1905
C58/J f 19.49 0.5903 20.6495 18.3305
C58/J m 26.5333 0.6222 27.7556 25.3111
CAST/EiJ f 11.66 0.5903 12.8195 10.5005
CAST/EiJ m 13.51 0.5903 14.6695 12.3505
CZECHII/EiJ f 10.4917 0.5389 11.5501 9.4332
CZECHII/EiJ m 13.3917 0.5389 14.4501 12.3332
DBA/2J f 19.76 0.5903 20.9195 18.6005
DBA/2J m 25.76 0.5903 26.9195 24.6005
FVB/NJ f 19.72 0.5903 20.8795 18.5605
FVB/NJ m 23.19 0.5903 24.3495 22.0305
JF1/MsJ f 13.8727 0.5628 14.9783 12.7672
JF1/MsJ m 20.38 0.5903 21.5395 19.2205
MOLF/EiJ f 10.39 0.5903 11.5495 9.2305
MOLF/EiJ m 12.6875 0.66 13.9839 11.3911
MSM/MsJ f 8.9364 0.5628 10.0419 7.8308
MSM/MsJ m 11.9444 0.6222 13.1667 10.7222
NOD/ShiLtJ f 20.86 0.5903 22.0195 19.7005
NOD/ShiLtJ m 25.75 0.5903 26.9095 24.5905
NZB/BlNJ f 20.29 0.5903 21.4495 19.1305
NZB/BlNJ m 24.58 0.5903 25.7395 23.4205
NZW/LacJ f 24.57 0.5903 25.7295 23.4105
NZW/LacJ m 26.97 0.5903 28.1295 25.8105
PERA/EiJ f 18.12 0.5903 19.2795 16.9605
PERA/EiJ m 21.3 0.5903 22.4595 20.1405
PL/J f 15.97 0.5903 17.1295 14.8105
PL/J m 21.3182 0.5628 22.4237 20.2126
PWK/PhJ f 12.2385 0.5177 13.2554 11.2215
PWK/PhJ m 18.1 0.6222 19.3222 16.8778
SEA/GnJ f 22.5143 0.4989 23.4942 21.5343
SEA/GnJ m 28.15 0.5903 29.3095 26.9905
SJL/J f 16.18 0.5903 17.3395 15.0205
SJL/J m 22.13 0.5903 23.2895 20.9705
SM/J f 15.4 0.5903 16.5595 14.2405
SM/J m 23.01 0.5903 24.1695 21.8505
SPRET/EiJ f 10.8 0.6222 12.0222 9.5778
SPRET/EiJ m 14.47 0.5903 15.6295 13.3105
SWR/J f 16.43 0.5903 17.5895 15.2705
SWR/J m 20.26 0.5903 21.4195 19.1005
WSB/EiJ f 11.24 0.5903 12.3995 10.0805
WSB/EiJ m 13.47 0.5903 14.6295 12.3105


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 20.05 0.4174 20.8699 19.2301
129X1/SvJ both 21.465 0.4174 22.2849 20.6451
A/J both 21.1 0.4174 21.9199 20.2801
AKR/J both 31.295 0.4174 32.1149 30.4751
BALB/cJ both 22.29 0.4174 23.1099 21.4701
BTBR T+ Itpr3tf/J both 25.4867 0.4288 26.329 24.6443
BUB/BnJ both 23.53 0.4174 24.3499 22.7101
C3H/HeJ both 23.32 0.4174 24.1399 22.5001
C57BL/6J both 21.45 0.4174 22.2699 20.6301
C57L/J both 21.78 0.4174 22.5999 20.9601
C58/J both 23.0117 0.4288 23.854 22.1693
CAST/EiJ both 12.585 0.4174 13.4049 11.7651
CZECHII/EiJ both 11.9417 0.381 12.6901 11.1932
DBA/2J both 22.76 0.4174 23.5799 21.9401
FVB/NJ both 21.455 0.4174 22.2749 20.6351
JF1/MsJ both 17.1264 0.4078 17.9274 16.3253
MOLF/EiJ both 11.5387 0.4427 12.4084 10.6691
MSM/MsJ both 10.4404 0.4195 11.2644 9.6164
NOD/ShiLtJ both 23.305 0.4174 24.1249 22.4851
NZB/BlNJ both 22.435 0.4174 23.2549 21.6151
NZW/LacJ both 25.77 0.4174 26.5899 24.9501
PERA/EiJ both 19.71 0.4174 20.5299 18.8901
PL/J both 18.6441 0.4078 19.4451 17.843
PWK/PhJ both 15.1692 0.4047 15.9642 14.3742
SEA/GnJ both 25.3321 0.3864 26.0912 24.5731
SJL/J both 19.155 0.4174 19.9749 18.3351
SM/J both 19.205 0.4174 20.0249 18.3851
SPRET/EiJ both 12.635 0.4288 13.4774 11.7926
SWR/J both 18.345 0.4174 19.1649 17.5251
WSB/EiJ both 12.355 0.4174 13.1749 11.5351




  GWAS USING LINEAR MIXED MODELS