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Mathematical correlation				Phenotype measurement	Gene expression probeset data instance
Pearson	Sex	No. of Strains	Scatter plot		Gene	Approximate chr location	Probeset	Data set
blood – hematology – cell counts – WBC – lymphocytes
r = 0.752   p = 0.000494	m	17	Plot	CGDpheno1   pctLYMP		13:93412045	1447057_at	brain_Tabakoff1
blood – hematology – cell counts – WBC – neutrophils
r = –0.808   p = 0.000050	m	18	Plot	Peters1   NEUT		13:93412045	1447057_at	brain_Tabakoff1
r = –0.800   p = 0.000117	m	17	Plot	CGDpheno1   pctNEUT		13:93412045	1447057_at	brain_Tabakoff1
blood – xenobiotics – drug and metabolite concentration
r = 0.792   p = 0.000739	m	14	Plot	Wiltshire2   fluoxetine		13:93412045	1447057_at	brain_Tabakoff1
kidney – morphology
r = –0.853   p = 0.000835	m	11	Plot	Deschepper1   kidney_L		13:93412045	1447057_at	brain_Tabakoff1
liver – protein homeostasis
r = –0.865   p = 0.000275	m	12	Plot	Rusyn5   liver_SAM_hf		13:93412045	1447057_at	brain_Tabakoff1

[6 instances listed above]

Correlations with r < 0.5 or p > 0.005 or nstrains < 10 are not retained. The large number of eligible probeset data instances increases the liklihood of strong mathematical correlations occurring by chance. For gene symbols, current MGI coordinates take precendence over GX annotation so additional flank may be helpful. [1] DPV = data point variance filter. Stricter settings will omit instances where data points have more variance. To see DPV hover your mouse pointer over the p value.