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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
immune system – cell counts – peripheral blood
r = 0.945   p = 0.000001	f	13	Plot	Petkova1   CD4_all_M18	Timd4	11:46827566	10024408178	liver_Su1
r = 0.781   p = 0.000982	f	14	Plot	Petkova1   CD4_all_M12	Timd4	11:46827566	10024408178	liver_Su1
respiratory – breathing pattern
r = –0.838   p = 0.000181	f	14	Plot	Berndt2   min_vent_mch20	Timd4	11:46827566	10024408178	liver_Su1
r = –0.834   p = 0.000210	f	14	Plot	Berndt2   exp_flow_mch20	Timd4	11:46827566	10024408178	liver_Su1
r = –0.830   p = 0.000239	f	14	Plot	Berndt2   resp_flow_mch20	Timd4	11:46827566	10024408178	liver_Su1
r = –0.786   p = 0.000863	f	14	Plot	Berndt2   insp_flow_mch20	Timd4	11:46827566	10024408178	liver_Su1

[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.