Project measure / variable:   CSNA03   antici_correct_in_rev_JAX

ID, description, units MPD:110484   antici_correct_in_rev_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]  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 - mean number of anticipatory nose pokes made in correct 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 means0.9761   n 0.82879   n
Median of the strain means0.80785   n 0.78946   n
SD of the strain means± 0.61026 ± 0.29713
Coefficient of variation (CV)0.6252 0.3585
Min–max range of strain means0.38932   –   2.3326   n 0.48417   –   1.2121   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 0.2676 0.2676 0.3992 0.529
strain 7 14.7493 2.107 3.1428 0.0048
sex:strain 7 4.7629 0.6804 1.0149 0.4255
Residuals 100 67.0441 0.6704


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 0.38932 0.23143   3 0.13362 0.5944 0.125, 0.55556 -0.96
129S1/SvImJ m 0.56938 0.33454   4 0.16727 0.5875 0.27477, 0.88372 -0.87
A/J f 2.3326 2.5566   6 1.0437 1.0961 0.73864, 7.4558 2.22
A/J m 1.2121 0.78591   5 0.35147 0.6484 0.5, 2.1592 1.29
C57BL/6J f 0.92281 0.58927   14 0.15749 0.6386 0.11765, 2.5928 -0.09
C57BL/6J m 0.82407 0.60335   11 0.18192 0.7322 0.25, 1.8571 -0.02
CAST/EiJ f 0.54275 0.39841   10 0.12599 0.7341 0.10309, 1.5407 -0.71
CAST/EiJ m 1.0418 0.6589   8 0.23296 0.6325 0.08, 1.8776 0.72
NOD/ShiLtJ f 1.2156 0.59486   8 0.21032 0.4893 0.22642, 1.8889 0.39
NOD/ShiLtJ m 1.2114 0.59267   11 0.1787 0.4893 0.27848, 2.1605 1.29
NZO/HlLtJ f 0.69288 0.41566   3 0.23998 0.5999 0.41935, 1.1712 -0.46
NZO/HlLtJ m 0.53254 0.36902   2   0.26094 0.693 0.2716, 0.79348 -1.0
PWK/PhJ f 0.67525 0.97113   9 0.32371 1.4382 0.0367, 3.1957 -0.49
PWK/PhJ m 0.48417 0.53084   8 0.18768 1.0964 0.15152, 1.7714 -1.16
WSB/EiJ f 1.0376 0.57109   8 0.20191 0.5504 0.25263, 1.9027 0.1
WSB/EiJ m 0.75486 0.33311   6 0.13599 0.4413 0.35593, 1.305 -0.25


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 0.3893166667 0.4727369988 1.327213408 -0.5485800746
129S1/SvImJ m 0.5693825 0.4094022502 1.3816249041 -0.2428599041
A/J f 2.3325516667 0.3342755375 2.9957448125 1.6693585208
A/J m 1.212136 0.3661805047 1.9386276919 0.4856443081
C57BL/6J f 0.9228057143 0.2188347077 1.3569675416 0.488643887
C57BL/6J m 0.8240690909 0.2468788459 1.3138696897 0.3342684921
CAST/EiJ f 0.542753 0.258928718 1.0564602018 0.0290457982
CAST/EiJ m 1.0417875 0.2894911074 1.6161296119 0.4674453881
NOD/ShiLtJ f 1.21564625 0.2894911074 1.7899883619 0.6413041381
NOD/ShiLtJ m 1.2113618182 0.2468788459 1.701162417 0.7215612194
NZO/HlLtJ f 0.6928833333 0.4727369988 1.6307800746 -0.245013408
NZO/HlLtJ m 0.53254 0.5789822148 1.6812242238 -0.6161442238
PWK/PhJ f 0.6752522222 0.2729348335 1.2167471583 0.1337572862
PWK/PhJ m 0.484175 0.2894911074 1.0585171119 -0.0901671119
WSB/EiJ f 1.03759 0.2894911074 1.6119321119 0.4632478881
WSB/EiJ m 0.75486 0.3342755375 1.4180531458 0.0916668542


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 0.4793495833 0.3126861336 1.0997099666 -0.1410107999
A/J both 1.7723438333 0.2479053736 2.2641810338 1.2805066329
C57BL/6J both 0.8734374026 0.1649528674 1.2006991934 0.5461756118
CAST/EiJ both 0.79227025 0.1941965385 1.1775506514 0.4069898486
NOD/ShiLtJ both 1.2135040341 0.1902329268 1.5909207428 0.8360873254
NZO/HlLtJ both 0.6127116667 0.3737314126 1.3541841448 -0.1287608115
PWK/PhJ both 0.5797136111 0.1989337356 0.9743924766 0.1850347457
WSB/EiJ both 0.896225 0.2211024854 1.3348860338 0.4575639662




  GWAS USING LINEAR MIXED MODELS