Project measure / variable:   Project1099   Status

ID, description, units MPD:114141   Status   Status    
Data set, strains Project1099   inbred w/CC8   9 strains     sex: both
Procedure None
Ontology mappings


  STRAIN COMPARISON PLOT
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Project1099 - Status



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains9 strains
Mean of the strain means0.37674   None 93.88   None
Median of the strain means0.26531   None 0.31818   None
SD of the strain means± 0.2326 ± 280.7
Coefficient of variation (CV)0.6174 2.9899
Min–max range of strain means0.11111   –   0.81818   None 0.0   –   842.4   None
Mean sample size per strain28.8   mice 26.7   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 1668670.5719 1668670.5719 1.0718 0.3011
strain 8 9681389.7905 1210173.7238 0.7773 0.6229
sex:strain 8 10501056.5464 1312632.0683 0.8431 0.565
Residuals 481 748868162.0892 1556898.4659


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 0.23684 0.43085   38 0.06989 1.8192 -0.6
129S1/SvImJ m 0.09091 0.29424   22 0.06273 3.2367 -0.33
A/J f 0.38889 0.49441   36 0.0824 1.2713 0.05
A/J m 842.4 4838.0   33 842.1 5.7429 2.67
C57BL/6J f 0.26531 0.44607   49 0.06372 1.6813 -0.48
C57BL/6J m 0.20455 0.40803   44 0.06151 1.9948 -0.33
CAST/EiJ f 0.52941 0.5145   17 0.12478 0.9718 0.66
CAST/EiJ m 0.42857 0.50709   21 0.11066 1.1832 -0.33
DBA/2J f 0.11111 0.31873   36 0.05312 2.8685 -1.14
DBA/2J m 0.13793 0.35093   29 0.06517 2.5443 -0.33
NOD/ShiLtJ f 0.16667 0.38069   24 0.07771 2.2842 -0.9
NOD/ShiLtJ m 0.0 0.0   27 0.0 None -0.33
NZO/HlLtJ f 0.81818 0.39477   22 0.08417 0.4825 1.9
NZO/HlLtJ m 0.75 0.44233   24 0.09029 0.5898 -0.33
PWK/PhJ f 0.61111 0.50163   18 0.11824 0.8209 1.01
PWK/PhJ m 0.61111 0.50163   18 0.11824 0.8209 -0.33
WSB/EiJ f 0.26316 0.45241   19 0.10379 1.7192 -0.49
WSB/EiJ m 0.31818 0.47673   22 0.10164 1.4983 -0.33


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ 1 0.5294117647 302.6256147436 595.1609527796 -594.1021292502
129S1/SvImJ 2 0.4285714286 272.2829818128 535.4396252835 -534.5824824263
A/J 1 0.6111111111 294.0992336196 578.4890962471 -577.2668740248
A/J 2 0.6111111111 294.0992336196 578.4890962471 -577.2668740248
BALB/cJ 1 0.2368421053 202.4129745349 397.9597482481 -397.4860640375
BALB/cJ 2 0.0909090909 266.0227661038 522.8012139916 -522.6193958098
BTBR T+ Itpr3tf/J 1 0.8181818182 266.0227661038 523.5284867189 -521.8921230825
BTBR T+ Itpr3tf/J 2 0.75 254.6974075481 501.2070154155 -499.7070154155
C3H/HeJ 1 0.3888888889 207.9595624342 409.0103308769 -408.2325530992
C3H/HeJ 2 842.3636363636 217.2066789727 1269.1548131307 415.5724595965
C57BL/6J 1 0.2631578947 286.2551737875 562.7282858283 -562.2019700389
C57BL/6J 2 0.3181818182 266.0227661038 523.0284867189 -522.3921230825
CAST/EiJ 1 0.1666666667 254.6974075481 500.6236820822 -500.2903487488
CAST/EiJ 2 0.0 240.1310187039 471.8353990569 -471.8353990569
DBA/2J 1 0.2653061225 178.251053515 350.5122563979 -349.981644153
DBA/2J 2 0.2045454545 188.106501862 369.8165466459 -369.4074557368
FVB/NJ 1 0.1111111111 207.9595624342 408.7325530992 -408.5103308769
FVB/NJ 2 0.1379310345 231.7027276402 455.4125121727 -455.1366501037


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.4789915966 203.5437820739 400.4238307047 -399.4658475114
A/J both 0.6111111111 207.9595624342 409.2325530992 -408.0103308769
BALB/cJ both 0.1638755981 167.1370129157 328.5727567661 -328.2450055699
BTBR T+ Itpr3tf/J both 0.7840909091 184.1459214165 362.6139152492 -361.045733431
C3H/HeJ both 421.3762626263 150.3545152283 716.8090770776 125.9434481749
C57BL/6J both 0.2906698565 195.3907217639 384.2154942006 -383.6341544877
CAST/EiJ both 0.0833333333 175.0240523153 343.9895226066 -343.8228559399
DBA/2J both 0.2349257885 129.5738149878 254.8355726857 -254.3657211087
FVB/NJ both 0.1245210728 155.6705926016 306.0029393549 -305.7538972093




  GWAS USING LINEAR MIXED MODELS