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Pheno measurements correlated to your selected measurements

Pearson correlation p value
must be p ≤


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Your selected measurement:
cardiovascular — ECG parameters — unconscious         ECG  
Maurer1
P_amp_ctrl   P-wave amplitude   [mV]
23 strains   age 7-13wks
  Inbred
 

Download this list as a tab-delimited file
 
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
behavior – involuntary movement
Crowley1   tongue_d30  
tongue protrusion, count of events day 30 (haloperidol 30d)
male 0.68 p = 0.0055 0.32 15 Plot  
Crowley1   subtlechew_d0  
subtle chewing movement, count of events
male –0.67 p = 0.0062 –0.70 15 Plot  
Crowley1   tongue_d120  
tongue protrusion, count of events day 120 (60d post-exposure) (haloperidol 60d)
male 0.66 p = 0.0076 0.39 15 Plot  
blood – clinical chemistry – urea nitrogen
Yuan3   BUN_M18  
blood urea nitrogen (plasma BUN) (age 18mo)
male 0.74 p = 0.0040 0.74 13 Plot  
blood – hematology – cell counts – WBC – eosinophils
Jaxpheno4   EOS8  
eosinophil count (EOS; units per volume x 103)
male 0.86 p = 0.0067 0.71 8 Plot  
body fat pads
Reed1   retroperitoneal_fat  
retroperitoneal (perirenal) fat pads weight
male –0.65 p = 0.0048 –0.59 17 Plot  
Reed1   pct_retroperitoneal  
retroperitoneal fat pad weight as percent of body weight
male –0.62 p = 0.0083 –0.67 17 Plot  
brain – cerebral cortex
Wiltshire3   GAL_fluox  
galanin (GAL), relative fluorescence intensity (fluoxetine )
male –0.61 p = 0.0043 –0.69 20 Plot  
cardiovascular – ECG parameters
Maurer1   P_amp_at  
P-wave amplitude (atenolol 10mg/kg 2wks)
male 0.92 p < 0.0001 0.93 23 Plot  
Maurer1   Parea_ctrl  
P-wave area
male 0.91 p < 0.0001 0.91 23 Plot  
Maurer1   P_amp_iso1  
P-wave amplitude (isoproterenol 1mg/kg 2wks)
male 0.91 p < 0.0001 0.90 23 Plot  
Maurer1   P_amp_iso10  
P-wave amplitude (isoproterenol 10mg/kg 2wks)
male 0.89 p < 0.0001 0.87 23 Plot  
Maurer1   Parea_at  
P-wave area (atenolol 10mg/kg 2wks)
male 0.88 p < 0.0001 0.88 22 Plot  
Maurer1   Parea_iso1  
P-wave area (isoproterenol 1mg/kg 2wks)
male 0.87 p < 0.0001 0.86 23 Plot  
Maurer1   Parea_iso10  
P-wave area (isoproterenol 10mg/kg 2wks)
male 0.80 p < 0.0001 0.74 23 Plot  
cardiovascular – heart weight
Reed1   pct_heart  
heart weight as percent of body weight
male 0.76 p = 0.0004 0.67 17 Plot  
Maurer1   heart_adjwt_iso10  
heart weight index (heart weight/bw final) (isoproterenol 10mg/kg 2wks)
male 0.58 p = 0.0038 0.55 23 Plot  
Maurer1   ventr_adjwt_iso10  
ventricles weight index (ventricles weight/bw final) (isoproterenol 10mg/kg 2wks)
male 0.57 p = 0.0048 0.54 23 Plot  
ingestive preference – ethanol
Finn1   10pct_EtOH  
dose of ethanol voluntarily consumed at 10% ethanol in water
male –0.74 p = 0.0023 –0.72 14 Plot  
Finn1   6pct_EtOH  
dose of ethanol voluntarily consumed at 6% ethanol in water
male –0.73 p = 0.0032 –0.59 14 Plot  
Finn1   3pct_EtOH  
dose of ethanol voluntarily consumed at 3% ethanol in water
male –0.72 p = 0.0036 –0.56 14 Plot  
ingestive preference – ethanol and saccharin
Finn1   10pct_EtOHsach  
dose of ethanol voluntarily consumed at 10% ethanol in water with 0.2% saccharin
male –0.73 p = 0.0033 –0.74 14 Plot  
kidney – morphology
Reed1   pct_kidneys  
kidney weight as percent of body weight
male 0.79 p = 0.0001 0.71 17 Plot  
liver – enzyme homeostasis
Threadgill1   catalase_ctrl  
catalase, liver left lobe
male 0.61 p = 0.0074 0.58 18 Plot  
Threadgill1   catalase_Rx300  
catalase, liver left lobe (acetaminophen 300 mg/kg)
male 0.60 p = 0.0083 0.55 18 Plot  
liver – gene expression
Rusyn5   liver_Ddit3_hfe  
DNA-damage inducible transcript 3 (Ddit3 formerly Chop), relative mRNA abundance (high-fat diet and ethanol 4wks)
male –0.80 p = 0.0095 –0.78 9 Plot  
 

26 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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