Project measure / variable:   CSNA03   antici_correct_in_acq_JAX

ID, description, units MPD:110483   antici_correct_in_acq_JAX   mean number of anticipatory nose pokes made in correct flanking hole without prior successful nose poke in central hole (reversal learning assay), founders   [n]  acquisition  
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 - mean number of anticipatory nose pokes made in correct flanking hole without prior successful nose poke in central hole (reversal learning assay), founders acquisition



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested8 strains8 strains
Mean of the strain means1.0463   n 2.3781   n
Median of the strain means0.90039   n 0.74245   n
SD of the strain means± 0.84368 ± 4.6515
Coefficient of variation (CV)0.8063 1.956
Min–max range of strain means0.33096   –   2.983   n 0.30735   –   13.842   n
Mean sample size per strain7.4   mice 6.8   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 79.7576 79.7576 0.7642 0.3842
strain 7 557.7199 79.6743 0.7634 0.6193
sex:strain 7 660.0245 94.2892 0.9034 0.5072
Residuals 97 10123.9402 104.3705


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 1.2186 1.327   3 0.76616 1.089 0.06061, 2.6667 0.2
129S1/SvImJ m 0.83518 0.7107   4 0.35535 0.851 0.05, 1.6273 -0.33
A/J f 2.983 2.7721   6 1.1317 0.9293 0.35, 8.1867 2.3
A/J m 1.6766 1.1709   5 0.52362 0.6984 0.39316, 3.2105 -0.15
C57BL/6J f 0.79478 0.45822   13 0.12709 0.5765 0.07407, 1.75 -0.3
C57BL/6J m 0.30735 0.2252   11 0.0679 0.7327 0.02778, 0.79518 -0.45
CAST/EiJ f 0.33096 0.31604   10 0.09994 0.9549 0.0202, 1.0 -0.85
CAST/EiJ m 0.72474 0.57492   7 0.2173 0.7933 0.17073, 1.6364 -0.36
NOD/ShiLtJ f 1.006 0.87255   8 0.30849 0.8673 0.06977, 2.625 -0.05
NOD/ShiLtJ m 0.76015 0.48722   11 0.1469 0.641 0.25, 1.7784 -0.35
NZO/HlLtJ f 0.59977 0.68067   3 0.39299 1.1349 0.1, 1.375 -0.53
NZO/HlLtJ m 0.49358 0.40875   2   0.28903 0.8281 0.20455, 0.78261 -0.41
PWK/PhJ f 0.39358 0.41058   8 0.14516 1.0432 0.07407, 1.3614 -0.77
PWK/PhJ m 13.842 37.886   8 13.395 2.737 0.04545, 107.6 2.46
WSB/EiJ f 1.0438 1.2716   8 0.44957 1.2182 0.10619, 4.0654 0.0
WSB/EiJ m 0.38537 0.27391   6 0.11182 0.7108 0.125, 0.74627 -0.43


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 1.2186266667 5.8983194782 12.9251580936 -10.4879047603
129S1/SvImJ m 0.8351775 5.1080945078 10.9733311059 -9.3029761059
A/J f 2.983 4.1707417007 11.2607677562 -5.2947677562
A/J m 1.676562 4.568818622 10.7444022517 -7.3912782517
C57BL/6J f 0.7947846154 2.8334610258 6.41842041 -4.8288511792
C57BL/6J m 0.3073509091 3.0802968865 6.4208875596 -5.8061857414
CAST/EiJ f 0.330959 3.2306426296 6.7428903327 -6.0809723327
CAST/EiJ m 0.7247442857 3.8613564974 8.3884680556 -6.9389794842
NOD/ShiLtJ f 1.0060125 3.6119682654 8.1747696635 -6.1627446635
NOD/ShiLtJ m 0.7601518182 3.0802968865 6.8736884687 -5.3533848323
NZO/HlLtJ f 0.5997733333 5.8983194782 12.3063047603 -11.1067580936
NZO/HlLtJ m 0.49358 7.2239365308 14.8310943269 -13.8439343269
PWK/PhJ f 0.39358375 3.6119682654 7.5623409135 -6.7751734135
PWK/PhJ m 13.841895 3.6119682654 21.0106521635 6.6731378365
WSB/EiJ f 1.043845 3.6119682654 8.2126021635 -6.1249121635
WSB/EiJ m 0.3853733333 4.1707417007 8.6631410895 -7.8923944228


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 1.0269020833 3.9013716231 8.770044801 -6.7162406344
A/J both 2.329781 3.093104829 8.468737871 -3.809175871
C57BL/6J both 0.5510677622 2.0926496538 4.7043980503 -3.6022625258
CAST/EiJ both 0.5278516429 2.5172964565 5.5239882862 -4.4682850005
NOD/ShiLtJ both 0.8830821591 2.3735281576 5.5938785261 -3.8277142079
NZO/HlLtJ both 0.5466766667 4.6630309796 9.801502369 -8.7081490357
PWK/PhJ both 7.117739375 2.5540472539 12.186816178 2.048662572
WSB/EiJ both 0.7146091667 2.7586863307 6.1898378901 -4.7606195567




  GWAS USING LINEAR MIXED MODELS