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Pheno measurements correlated to your selected measurements

Pearson correlation p value
must be p ≤


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strains
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are required
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females and males
females only
males only

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Your selected measurement:
neurosensory — nociception — thermal         nociception assay  
Mogil1
TW_COLD   latency of tail withdrawal, –15°C cold stimulation   [s]
12 strains   age 6-18wks
  Inbred
 

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Correlated measurement from anywhere in MPD
(organized by category)
Sex Pearson
r
p value
on r
Spearman
rs
# strains
in
common
Click
for
scatterplot
Log-
improved
Pearson
blood – hematology – cell counts – WBC – misc
Peters4   LUC_M18  
large unstained cells count (LUC; units per volume x 103) (age 18mo)
male –0.89 p = 0.0030 –0.62 8 Plot  
blood – hematology – hemoglobin
Peters1   cHGB  
calculated hemoglobin (HGB)
male –0.78 p = 0.0044 –0.65 11 Plot -0.81
bone – morphology
Vinyard1   jaw_length  
distance from the incisor alveolus to the caudal surface of the mandibular condyle (jaw length)
male –0.82 p = 0.0072 –0.76 9 Plot  
endocrine – hormones
Yuan3   T4_M18  
thyroxine/T4 (serum T4) (age 18mo)
male –0.91 p = 0.0019 –0.83 8 Plot  
metabolism – energy
Bodnar1   total_kcal0  
total (chow) daily caloric intake, baseline
male 0.90 p = 0.0020 0.90 8 Plot  
Bodnar1   chow_kcal0  
daily chow caloric intake, baseline
male 0.90 p = 0.0020 0.90 8 Plot  
metabolism – food intake
Bodnar1   chow0  
daily chow intake, baseline
male 0.91 p = 0.0020 0.90 8 Plot  
neurosensory – nociception
Mogil1   TW_HOT1  
latency of tail withdrawal, 49°C heat stimulation
male 0.75 p = 0.0080 0.67 11 Plot  
respiratory – lung volume
Berndt2   tidal_vol_slope  
tidal volume (Vt), MCh response index (methacholine )
male –0.83 p = 0.0030 –0.75 10 Plot  
 

9 rows

Reciprocals are included in the above list.

Correlations where Pearson r < 0.5 are not retained and will not appear in the above list.

All correlations available through MPD are mathematical correlations provided for exploratory use, and are not necessarily biologically significant. Additional forms of validation are required. Most correlations are based on strain mean data points which have varying degrees of quality, preciseness, and normality of distribution, and this is generally not taken into account in correlation strength metrics.




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