Project measure / variable:   CSNA03   antici_resp_left_in_rev_JAX

ID, description, units MPD:110480   antici_resp_left_in_rev_JAX   total number of anticipatory responses in left 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
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  STRAIN COMPARISON PLOT
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CSNA03 - total number of anticipatory responses in left 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 means151.2   n 113.6   n
Median of the strain means131.4   n 106.3   n
SD of the strain means± 104.5 ± 40.338
Coefficient of variation (CV)0.6909 0.3551
Min–max range of strain means56.67   –   393.8   n 60.62   –   171.8   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 22833.7937 22833.7937 0.9734 0.3262
strain 7 356959.2301 50994.1757 2.1739 0.0428
sex:strain 7 182911.2198 26130.1743 1.1139 0.3604
Residuals 100 2345724.4461 23457.2445


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 56.67 70.68   3 40.81 1.2474 4.0, 137.0 -0.9
129S1/SvImJ m 98.5 85.57   4 42.783 0.8687 24.0, 178.0 -0.37
A/J f 393.8 363.6   6 148.4 0.9231 111.0, 1096.0 2.32
A/J m 162.2 133.8   5 59.83 0.8248 80.0, 394.0 1.21
C57BL/6J f 156.6 143.3   14 38.287 0.9145 6.0, 587.0 0.05
C57BL/6J m 171.8 213.8   11 64.47 1.2445 17.0, 601.0 1.44
CAST/EiJ f 71.5 77.42   10 24.482 1.0828 8.0, 265.0 -0.76
CAST/EiJ m 110.5 92.03   8 32.536 0.8328 2.0, 289.0 -0.08
NOD/ShiLtJ f 115.8 57.5   8 20.33 0.4968 12.0, 173.0 -0.34
NOD/ShiLtJ m 134.4 125.0   11 37.679 0.9301 19.0, 468.0 0.52
NZO/HlLtJ f 141.3 86.9   3 50.17 0.6149 41.0, 193.0 -0.09
NZO/HlLtJ m 68.5 6.364   2   4.5 0.0929 64.0, 73.0 -1.12
PWK/PhJ f 152.7 231.5   9 77.16 1.5162 4.0, 708.0 0.01
PWK/PhJ m 60.62 86.54   8 30.598 1.4275 14.0, 273.0 -1.31
WSB/EiJ f 121.4 60.52   8 21.396 0.4986 24.0, 216.0 -0.29
WSB/EiJ m 102.2 92.58   6 37.795 0.9062 21.0, 246.0 -0.28


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 56.6666666667 88.4255703234 232.1004796974 -118.7671463641
129S1/SvImJ m 98.5 76.5787902442 250.4301387674 -53.4301387674
A/J f 393.8333333333 62.5263204059 517.8837721768 269.7828944899
A/J m 162.2 68.4941522483 298.090447246 26.309552754
C57BL/6J f 156.6428571429 40.9330851696 237.8529322847 75.432782001
C57BL/6J m 171.8181818182 46.1787480253 263.4355026615 80.2008609749
CAST/EiJ f 71.5 48.4326795264 167.5890567461 -24.5890567461
CAST/EiJ m 110.5 54.1493818767 217.9308313891 3.0691686109
NOD/ShiLtJ f 115.75 54.1493818767 223.180831389 8.319168611
NOD/ShiLtJ m 134.3636363636 46.1787480253 225.9809572069 42.7463155203
NZO/HlLtJ f 141.3333333333 88.4255703234 316.7671463641 -34.1004796974
NZO/HlLtJ m 68.5 108.2987637534 283.3616627781 -146.3616627781
PWK/PhJ f 152.6666666667 51.0525268294 253.9534258449 51.3799074884
PWK/PhJ m 60.625 54.1493818767 168.0558313891 -46.805831389
WSB/EiJ f 121.375 54.1493818767 228.805831389 13.9441686109
WSB/EiJ m 102.1666666667 62.5263204059 226.2171055101 -21.8837721768


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 77.5833333333 58.4880171537 193.6218935411 -38.4552268745
A/J both 278.0166666667 46.3707602798 370.0149343541 186.0183989792
C57BL/6J both 164.2305194805 30.854473868 225.4449168537 103.0161221073
CAST/EiJ both 91.0 36.3245096448 163.0667925596 18.9332074404
NOD/ShiLtJ both 125.0568181818 35.5831151209 195.6527051219 54.4609312417
NZO/HlLtJ both 104.9166666667 69.9065514053 243.609273613 -33.7759402797
PWK/PhJ both 106.6458333333 37.2106035066 180.4706108775 32.8210557892
WSB/EiJ both 111.7708333333 41.3572735475 193.8224861354 29.7191805313




  GWAS USING LINEAR MIXED MODELS