Project measure / variable:   Jax5   born


  STRAIN COMPARISON PLOT
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Jax5 - number of pups born per litter



  MEASURE SUMMARY
Measure Summary Female
Number of strains tested35 strains
Mean of the strain means5.44   n
Median of the strain means5.29   n
SD of the strain means± 0.929
Coefficient of variation (CV)0.171
Min–max range of strain means3.98   –   8.35   n
Mean sample size per strain185.7   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 34 5630.6087 165.6061 38.5476 < 0.0001
Residuals 6416 27564.0644 4.2961


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
129P3/J f 4.67 1.89   150 0.154 0.404 1.0, 9.0 -0.83
129S1/SvImJ f 5.29 2.14   213 0.146 0.404 1.0, 11.0 -0.16
129X1/SvJ f 5.12 1.73   213 0.119 0.339 1.0, 10.0 -0.34
A/J f 5.35 2.1   210 0.145 0.393 1.0, 10.0 -0.1
AKR/J f 5.56 1.91   164 0.149 0.344 1.0, 10.0 0.13
B6.129P2-Apoetm1Unc/J f 5.23 2.33   191 0.169 0.446 1.0, 10.0 -0.22
B6(Cg)-Tyrc-2J/J f 6.59 2.11   59 0.275 0.32 1.0, 12.0 1.24
BALB/cByJ f 5.38 2.33   143 0.195 0.434 1.0, 11.0 -0.06
BALB/cJ f 5.56 2.56   198 0.182 0.46 1.0, 12.0 0.13
C3HeB/FeJ f 6.63 2.11   180 0.157 0.318 1.0, 11.0 1.28
C3H/HeJ f 5.17 2.11   174 0.16 0.408 1.0, 10.0 -0.29
C3H/HeOuJ f 5.02 2.05   211 0.141 0.408 1.0, 10.0 -0.45
C57BL/10J f 5.06 2.18   190 0.158 0.431 1.0, 10.0 -0.41
C57BL/6J f 5.89 2.06   260 0.128 0.351 1.0, 10.0 0.49
C57BLKS/J f 5.42 1.67   119 0.154 0.309 1.0, 10.0 -0.02
C57L/J f 5.09 1.9   128 0.168 0.373 1.0, 10.0 -0.37
CAST/EiJ f 4.4 1.42   177 0.107 0.322 1.0, 9.0 -1.12
CBA/CaJ f 5.68 1.67   202 0.117 0.294 1.0, 10.0 0.26
CBA/J f 4.34 1.69   265 0.104 0.391 1.0, 9.0 -1.18
DBA/1J f 4.2 1.78   255 0.111 0.424 1.0, 10.0 -1.33
DBA/1LacJ f 4.91 2.23   254 0.14 0.454 1.0, 11.0 -0.57
DBA/2J f 4.85 1.75   261 0.108 0.361 1.0, 10.0 -0.63
FVB/NJ f 7.43 1.94   240 0.125 0.261 2.0, 11.0 2.14
KK/HlJ f 5.53 2.27   78 0.257 0.411 1.0, 10.0 0.1
LP/J f 3.98 1.93   187 0.141 0.485 1.0, 9.0 -1.57
MRL/MpJ f 5.62 2.33   168 0.179 0.413 1.0, 11.0 0.2
NOD.CB17-Prkdcscid/J f 6.12 2.45   203 0.172 0.4 1.0, 12.0 0.73
NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ f 5.71 2.95   95 0.303 0.517 0.5, 13.0 0.29
NOD/ShiLtJ f 8.35 2.66   175 0.201 0.318 1.0, 15.0 3.13
NZB/BlNJ f 4.4 1.98   127 0.175 0.449 1.0, 9.0 -1.12
NZW/LacJ f 4.85 1.99   194 0.143 0.411 1.0, 10.0 -0.63
PL/J f 4.67 1.7   215 0.116 0.365 1.0, 9.0 -0.83
SJL/J f 6.61 2.59   251 0.163 0.391 1.0, 12.0 1.26
SM/J f 4.9 1.88   136 0.161 0.384 1.0, 10.0 -0.58
SWR/J f 6.76 1.93   165 0.15 0.285 1.0, 11.0 1.42


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129P3/J f 4.6733 0.1692 5.0051 4.3416
129S1/SvImJ f 5.2911 0.142 5.5695 5.0127
129X1/SvJ f 5.1174 0.142 5.3958 4.839
A/J f 5.3524 0.143 5.6328 5.072
AKR/J f 5.561 0.1619 5.8783 5.2437
B6.129P2-Apoetm1Unc/J f 5.2251 0.15 5.5191 4.9311
B6(Cg)-Tyrc-2J/J f 6.5932 0.2698 7.1222 6.0642
BALB/cByJ f 5.3776 0.1733 5.7174 5.0378
BALB/cJ f 5.5606 0.1473 5.8494 5.2718
C3HeB/FeJ f 6.6278 0.1545 6.9306 6.3249
C3H/HeJ f 5.1667 0.1571 5.4747 4.8586
C3H/HeOuJ f 5.0237 0.1427 5.3034 4.744
C57BL/10J f 5.0579 0.1504 5.3527 4.7631
C57BL/6J f 5.8885 0.1285 6.1405 5.6365
C57BLKS/J f 5.4202 0.19 5.7926 5.0477
C57L/J f 5.0859 0.1832 5.4451 4.7268
CAST/EiJ f 4.4011 0.1558 4.7065 4.0957
CBA/CaJ f 5.6782 0.1458 5.9641 5.3923
CBA/J f 4.3358 0.1273 4.5855 4.0862
DBA/1J f 4.1961 0.1298 4.4505 3.9416
DBA/1LacJ f 4.9055 0.1301 5.1605 4.6506
DBA/2J f 4.8506 0.1283 5.1021 4.5991
FVB/NJ f 7.4333 0.1338 7.6956 7.1711
KK/HlJ f 5.5256 0.2347 5.9857 5.0656
LP/J f 3.9786 0.1516 4.2757 3.6815
MRL/MpJ f 5.625 0.1599 5.9385 5.3115
NOD.CB17-Prkdcscid/J f 6.1232 0.1455 6.4083 5.838
NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ f 5.7105 0.2127 6.1274 5.2936
NOD/ShiLtJ f 8.3486 0.1567 8.6557 8.0414
NZB/BlNJ f 4.4016 0.1839 4.7621 4.041
NZW/LacJ f 4.8454 0.1488 5.1371 4.5536
PL/J f 4.6651 0.1414 4.9422 4.388
SJL/J f 6.6056 0.1308 6.862 6.3491
SM/J f 4.8971 0.1777 5.2455 4.5486
SWR/J f 6.7576 0.1614 7.0739 6.4413




  GWAS USING LINEAR MIXED MODELS