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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:
bone — morphology — craniofacial         DXA  
Donahue1
inner_canthal   inner canthal distance   [mm]
29 strains   age 15-16wks
  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   jawtremor_d120  
jaw tremor duration day 120 (60d post-exposure) (haloperidol 60d)
male 0.62 p = 0.0096 0.70 16 Plot  
behavior – stress reactivity
Gershenfeld1   OFTcenter_Rx  
average center time (2 trials, dur=5min each), after Rx (imipramine )
male 0.86 p = 0.0058 0.86 8 Plot  
Gershenfeld1   OFTcenter  
average center time (2 trials, dur=5min each), baseline
male 0.85 p = 0.0081 0.79 8 Plot  
blood – hematology – cell counts – RBC
Peters4   RBC_M12  
red blood cell count (RBC; per volume x 106) (age 12mo)
female –0.73 p = 0.0013 –0.67 16 Plot  
Peters4   RBC_M06  
red blood cell count (RBC; per volume x 106) (age 6mo)
female –0.69 p = 0.0032 –0.69 16 Plot  
Peters4   RBC_M18  
red blood cell count (RBC; per volume x 106) (age 18mo)
female –0.63 p = 0.0087 –0.60 16 Plot  
blood – hematology – cell counts – RBC – reticulocytes
CGDpheno1   pct_Retic  
reticulocyte differential (percent of total RBC)
female 0.55 p = 0.0024 0.56 28 Plot  
Peters4   pctRetic_M06  
reticulocyte differential (percent of total RBC) (age 6mo)
female 0.63 p = 0.0091 0.67 16 Plot 0.68
blood – hematology – cell counts – WBC – basophils
Peters1   BASO  
basophil differential (percent of total WBC)
male 0.50 p = 0.0055 0.47 29 Plot  
blood – hematology – cell counts – WBC – misc
Peters4   pctLUC_M06  
large unstained cell differential (percent of total WBC) (age 6mo)
female 0.64 p = 0.0071 0.59 16 Plot  
blood – hematology – hemoglobin
Peters1   HDW  
hemoglobin concentration distribution width (HDW)
male –0.54 p = 0.0023 –0.58 29 Plot  
Peters4   MCH_M18  
mean RBC corpuscular hemoglobin content (MCH) (age 18mo)
female 0.70 p = 0.0024 0.69 16 Plot  
Peters1   HDW  
hemoglobin concentration distribution width (HDW)
female –0.51 p = 0.0043 –0.49 29 Plot  
Peters4   CHr_M06  
reticulocyte corpuscular hemoglobin content (CHr) (age 6mo)
female 0.66 p = 0.0055 0.62 16 Plot  
Peters4   MCH_M12  
mean RBC corpuscular hemoglobin content (MCH) (age 12mo)
female 0.63 p = 0.0086 0.74 16 Plot  
blood – hematology – RBC parameters
CGDpheno1   RDW  
RBC corpuscular distribution width (RDW)
female –0.68 p < 0.0001 –0.77 28 Plot  
Peters1   RDW  
RBC corpuscular distribution width (RDW)
female –0.64 p = 0.0002 –0.63 29 Plot  
CGDpheno1   RDW  
RBC corpuscular distribution width (RDW)
male –0.62 p = 0.0005 –0.62 28 Plot  
Peters4   MCV_M12  
mean RBC corpuscular volume (MCV) (age 12mo)
female 0.70 p = 0.0023 0.71 16 Plot  
Peters1   RDW  
RBC corpuscular distribution width (RDW)
male –0.50 p = 0.0055 –0.48 29 Plot  
Peters4   MCV_M12  
mean RBC corpuscular volume (MCV) (age 12mo)
male 0.65 p = 0.0068 0.60 16 Plot  
blood – lipids – phospholipid
Albers1   PLTP_chow  
phospholipid transfer protein activity
male 0.79 p = 0.0036 0.80 11 Plot  
Albers1   PLTP_chow  
phospholipid transfer protein activity
female 0.74 p = 0.0086 0.83 11 Plot  
body composition – fat
Tordoff3   fat_wt  
weight of fat tissue, head excluded
female 0.54 p = 0.0031 0.49 28 Plot  
body composition – lean
Donahue1   lean_wt  
lean body tissue mass, head excluded
male 0.60 p = 0.0005 0.60 29 Plot  
Donahue1   lean_wt  
lean body tissue mass, head excluded
female 0.60 p = 0.0006 0.65 29 Plot  
Naggert1   leanwt_fat8  
weight of lean portion of tissue mass, head excluded (high-fat diet 8wks)
male 0.61 p = 0.0007 0.55 27 Plot 0.65
Naggert1   leanwt_fat8  
weight of lean portion of tissue mass, head excluded (high-fat diet 8wks)
female 0.60 p = 0.0007 0.63 28 Plot  
Tordoff3   lean_wt  
weight of lean tissue, head excluded
female 0.60 p = 0.0007 0.63 28 Plot  
Ackert1   LTM_M20  
weight of lean tissue mass, head excluded (age 20mo)
male 0.81 p = 0.0013 0.75 12 Plot 0.85
CGDpheno1   LTM  
lean tissue mass, head excluded
female 0.58 p = 0.0014 0.66 27 Plot  
Tordoff3   lean_wt  
weight of lean tissue, head excluded
male 0.55 p = 0.0026 0.56 28 Plot  
CGDpheno1   LTM  
lean tissue mass, head excluded
male 0.50 p = 0.0086 0.48 26 Plot  
Ackert1   LTM_M12  
weight of lean tissue mass, head excluded (age 12mo)
male 0.67 p = 0.0090 0.59 14 Plot 0.70
body composition – total
Tordoff3   total_wt  
total weight (lean + fat), head excluded
female 0.62 p = 0.0005 0.62 28 Plot  
CGDpheno1   TTM  
total tissue mass, head excluded
female 0.58 p = 0.0015 0.60 27 Plot  
Donahue1   total_wt  
total tissue mass, head excluded
female 0.55 p = 0.0018 0.62 29 Plot 0.58
Donahue1   total_wt  
total tissue mass, head excluded
male 0.55 p = 0.0022 0.57 29 Plot  
Naggert1   tissuemass_fat8  
total tissue mass, head excluded (high-fat diet 8wks)
female 0.54 p = 0.0028 0.53 28 Plot 0.57
body weight size and growth – body mass index (BMI)
Ackert1   BMI_M20  
body mass index (BMI) (age 20mo)
male 0.73 p = 0.0076 0.75 12 Plot 0.76
body weight size and growth – body size
CGDpheno1   bodylength  
body length (tip of nose to base of tail)
female 0.68 p = 0.0002 0.69 24 Plot  
Ackert1   total_area_M20  
total body area without head (age 20mo)
male 0.75 p = 0.0048 0.68 12 Plot 0.78
Ackert1   total_area_M12  
total body area without head (age 12mo)
male 0.66 p = 0.0099 0.69 14 Plot  
body weight size and growth – body weight
Tordoff3   bw_end  
body weight at end of testing
female 0.60 p = 0.0008 0.61 28 Plot  
CGDpheno1   bodyweight  
body weight
female 0.58 p = 0.0014 0.64 27 Plot  
Tordoff3   bw_start  
body weight at start of testing
female 0.56 p = 0.0020 0.56 28 Plot 0.59
Naggert1   bw_fat8  
body weight (high-fat diet 8wks)
female 0.54 p = 0.0030 0.53 28 Plot 0.57
Maurer1   bwchg_iso10  
fold change in body weight over testing period (isoproterenol 10mg/kg 2wks)
male 0.68 p = 0.0036 0.70 16 Plot  
Willott1   bw  
body weight
female 0.52 p = 0.0038 0.50 29 Plot  
Paigen1   finalbw  
final body weight (high-fat diet 8wks)
female 0.54 p = 0.0058 0.55 25 Plot  
Ackert1   BW_M20  
body weight (age 20mo)
male 0.72 p = 0.0081 0.73 12 Plot 0.78
Ackert1   BW_M12  
body weight (age 12mo)
male 0.67 p = 0.0092 0.69 14 Plot  
Tordoff3   bw_start  
body weight at start of testing
male 0.48 p = 0.0097 0.46 28 Plot  
bone – mineral density and content
Tordoff3   BMD  
bone mineral density (BMD)
female 0.64 p = 0.0003 0.62 28 Plot  
Naggert1   BMC_fat8  
bone mineral content (BMC) (high-fat diet 8wks)
male 0.63 p = 0.0004 0.56 27 Plot 0.66
Tordoff3   BMC  
bone mineral content
female 0.60 p = 0.0008 0.59 28 Plot  
Donahue1   skull_BMD  
skull bone mineral density
female 0.57 p = 0.0014 0.59 29 Plot  
Tordoff3   BMC  
bone mineral content
male 0.56 p = 0.0021 0.52 28 Plot  
Tordoff3   BMD  
bone mineral density (BMD)
male 0.54 p = 0.0028 0.50 28 Plot  
Donahue1   body_BMC  
whole body bone mineral content
female 0.53 p = 0.0030 0.54 29 Plot  
Donahue1   body_BMC  
whole body bone mineral content
male 0.52 p = 0.0036 0.47 29 Plot  
Donahue1   body_BMD  
whole body bone mineral density (BMD)
female 0.51 p = 0.0043 0.55 29 Plot  
Naggert1   BMC_fat8  
bone mineral content (BMC) (high-fat diet 8wks)
female 0.50 p = 0.0073 0.53 28 Plot  
bone – morphology
Donahue1   skull_height  
skull height
female 0.63 p = 0.0002 0.60 29 Plot  
Donahue1   skull_height  
skull height
male 0.59 p = 0.0008 0.54 29 Plot  
Donahue1   upper_jaw  
length of upper jaw
female 0.58 p = 0.0011 0.55 29 Plot  
Donahue1   skull_length  
total skull length
female 0.57 p = 0.0013 0.50 29 Plot  
Donahue1   upper_jaw  
length of upper jaw
male 0.56 p = 0.0014 0.58 29 Plot  
Donahue1   nose_length  
nose length
male 0.54 p = 0.0022 0.65 29 Plot  
Donahue1   skull_width  
skull width
female 0.53 p = 0.0032 0.51 29 Plot  
Donahue1   nose_length  
nose length
female 0.52 p = 0.0037 0.59 29 Plot  
Donahue1   skull_width  
skull width
male 0.51 p = 0.0043 0.49 29 Plot  
Donahue1   skull_length  
total skull length
male 0.51 p = 0.0046 0.46 29 Plot  
eye – vision
Chang1   cone_Bwave  
b-wave amplitude of cone photoreceptors (ERG)
female 0.85 p = 0.0017 0.71 10 Plot  
gallbladder – pathology and gallstones
Paigen1   gs  
number of true gallstones (high-fat diet 8wks)
male 0.53 p = 0.0067 0.68 25 Plot  
immune system – cell counts – peripheral blood
Petkova1   NK_M18  
natural killer (NK) cells (as percent of total lymphocytes) (age 18mo)
male 0.73 p = 0.0042 0.77 13 Plot  
Petkova1   NK_M12  
natural killer (NK) cells (as percent of total lymphocytes) (age 12mo)
female 0.62 p = 0.0073 0.56 17 Plot  
ingestive preference – ethanol and saccharin
Finn1   3pct_EtOHsach  
dose of ethanol voluntarily consumed at 3% ethanol in water with 0.2% saccharin
male 0.79 p = 0.0004 0.71 15 Plot 0.82
Finn1   6pct_EtOHsach  
dose of ethanol voluntarily consumed at 6% ethanol in water with 0.2% saccharin
male 0.68 p = 0.0052 0.58 15 Plot 0.71
Finn1   saccharin  
consumption of 0.2% saccharin in water
female 0.66 p = 0.0079 0.71 15 Plot 0.71
Finn1   saccharin  
consumption of 0.2% saccharin in water
male 0.64 p = 0.0097 0.51 15 Plot 0.67
ingestive preference – salt solutions
Tordoff1   KCl_pref30  
preference for 30 mM KCl solution
male –0.62 p = 0.0075 –0.61 17 Plot  
liver – weight
Paigen1   liverweight  
liver weight at sacrifice (high-fat diet 8wks)
female 0.51 p = 0.0098 0.51 25 Plot  
muscle – skeletal
Crabbe4   gripbaseline  
peak force applied, baseline grip strength test
male 0.63 p = 0.0029 0.58 20 Plot  
neurosensory – nociception
Mogil1   TW_HOT2  
latency of tail withdrawal, 47°C heat stimulation
male –0.88 p = 0.0042 –0.90 8 Plot  
reproduction – development
Taft1   pct_dead_fresh  
resorbed fetuses, percent of fresh ET
female 0.86 p = 0.0030 0.83 9 Plot  
 

86 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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