Project measure / variable:   CSNA03   antici_incorrect_in_rev_JAX

ID, description, units MPD:110486   antici_incorrect_in_rev_JAX   mean number of anticipatory nose pokes made in incorrect flanking hole without prior successful nose poke in central hole (reversal learning assay), founders   [n]  reversal  
Data set, strains CSNA03   inbred w/CC8   8 strains     sex: both     age:
Procedure operant conditioning chamber
Ontology mappings

  STRAIN COMPARISON PLOT
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CSNA03 - mean number of anticipatory nose pokes made in incorrect flanking hole without prior successful nose poke in central hole (reversal learning assay), founders reversal



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means1.2393   n 1.0433   n
Median of the strain means1.207   n 0.99028   n
SD of the strain means± 0.62279 ± 0.35801
Coefficient of variation (CV)0.5025 0.3431
Min–max range of strain means0.55994   –   2.4085   n 0.66832   –   1.6482   n
Mean sample size per strain7.6   mice 6.9   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 1.2398 1.2398 2.4994 0.117
strain 7 19.2017 2.7431 5.5298 < 0.0001
sex:strain 7 3.5509 0.5073 1.0226 0.4202
Residuals 100 49.6061 0.4961


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 0.65653 0.44716   3 0.25817 0.6811 0.28125, 1.1513 -0.94
129S1/SvImJ m 0.99664 0.64685   4 0.32342 0.649 0.47619, 1.9419 -0.13
A/J f 2.4085 1.4479   6 0.59111 0.6012 0.66667, 4.7075 1.88
A/J m 1.6482 1.189   5 0.53175 0.7214 0.4321, 3.2683 1.69
C57BL/6J f 1.2143 0.47591   14 0.12719 0.3919 0.39216, 2.1959 -0.04
C57BL/6J m 1.1659 0.64052   11 0.19312 0.5494 0.30387, 2.4034 0.34
CAST/EiJ f 0.55994 0.71955   10 0.22754 1.285 0.1134, 2.4942 -1.09
CAST/EiJ m 0.72468 0.4893   8 0.17299 0.6752 0.16, 1.5068 -0.89
NOD/ShiLtJ f 1.6595 0.90221   8 0.31898 0.5437 0.35849, 3.3 0.67
NOD/ShiLtJ m 0.98393 0.59974   11 0.18083 0.6095 0.2459, 1.9753 -0.17
NZO/HlLtJ f 1.5163 0.67815   3 0.39153 0.4472 0.7619, 2.0753 0.44
NZO/HlLtJ m 1.444 0.92467   2   0.65384 0.6404 0.79012, 2.0978 1.12
PWK/PhJ f 0.69945 0.53897   9 0.17966 0.7706 0.10092, 1.7101 -0.87
PWK/PhJ m 0.66832 0.5148   8 0.18201 0.7703 0.21212, 1.6471 -1.05
WSB/EiJ f 1.1997 0.55143   8 0.19496 0.4596 0.48649, 2.0638 -0.06
WSB/EiJ m 0.71489 0.45907   6 0.18741 0.6422 0.13559, 1.5092 -0.92


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.65653 0.4066371097 1.4632864441 -0.1502264441
129S1/SvImJ m 0.99664 0.3521580672 1.6953115753 0.2979684247
A/J f 2.4085283333 0.2875358578 2.9789912857 1.8380653809
A/J m 1.64816 0.3149797508 2.2730708545 1.0232491455
C57BL/6J f 1.2142914286 0.1882364048 1.5877470944 0.8408357628
C57BL/6J m 1.1658645455 0.2123593047 1.5871793576 0.7445497333
CAST/EiJ f 0.559944 0.2227243177 1.0018227028 0.1180652972
CAST/EiJ m 0.724675 0.2490133573 1.2187104087 0.2306395913
NOD/ShiLtJ f 1.6595325 0.2490133573 2.1535679087 1.1654970913
NOD/ShiLtJ m 0.9839327273 0.2123593047 1.4052475394 0.5626179151
NZO/HlLtJ f 1.5163 0.4066371097 2.3230564441 0.7095435559
NZO/HlLtJ m 1.44396 0.4980267147 2.4320308174 0.4558891826
PWK/PhJ f 0.6994466667 0.2347720448 1.1652277168 0.2336656165
PWK/PhJ m 0.66832 0.2490133573 1.1623554087 0.1742845913
WSB/EiJ f 1.19974625 0.2490133573 1.6937816587 0.7057108413
WSB/EiJ m 0.714885 0.2875358578 1.2853479524 0.1444220476


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.826585 0.2689651666 1.3602042299 0.2929657701
A/J both 2.0283441667 0.2132422993 2.4514108151 1.6052775182
C57BL/6J both 1.190077987 0.1418885287 1.4715807868 0.9085751872
CAST/EiJ both 0.6423095 0.1670432383 0.9737185271 0.3109004729
NOD/ShiLtJ both 1.3217326136 0.1636338339 1.6463774796 0.9970877477
NZO/HlLtJ both 1.48013 0.321474862 2.1179269701 0.8423330299
PWK/PhJ both 0.6838833333 0.1711180624 1.0233766955 0.3443899712
WSB/EiJ both 0.957315625 0.1901870932 1.334641401 0.579989849




  GWAS USING LINEAR MIXED MODELS