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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
behavior – fear conditioning
r = 0.656   p = 0.000277	m	26	Plot	HMDPpheno4   precue_thig_bxd	Klhdc5	6:147108478	1426988_at	macrophage_HMDP_Oro3_OxPAPC
blood – hematology – hematocrit
r = 0.740   p = 0.000192	m	20	Plot	Peters1   HCT	Klhdc5	6:147108478	1426988_at	macrophage_HMDP_Oro3_OxPAPC
body composition – lean
r = 0.761   p = 0.000154	m	19	Plot	Ackert1   LTM_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
body composition – total
r = 0.753   p = 0.000199	m	19	Plot	Ackert1   TTM_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
body weight size and growth – body mass index (BMI)
r = 0.788   p = 0.000061	m	19	Plot	Ackert1   BMI_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
body weight size and growth – body size
r = 0.741   p = 0.000285	m	19	Plot	Ackert1   total_area_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
r = 0.695   p = 0.000949	m	19	Plot	Ackert1   BL_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
body weight size and growth – body weight
r = 0.774   p = 0.000102	m	19	Plot	Ackert1   BW_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
r = 0.786   p = 0.000182	m	17	Plot	Maurer1   bwchg_ctrl	Klhdc5	6:147108478	1426988_at	macrophage_HMDP_Oro1_ctrl
r = 0.755   p = 0.000186	m	19	Plot	Yuan1   bw_M06	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1
cardiovascular – ECG parameters
r = –0.772   p = 0.000281	m	17	Plot	Xing1   PR_M12	Klhdc5	6:147108478	1426988_at	macrophage_HMDP_Oro2_LPS
gallbladder – pathology and gallstones
r = –0.633   p = 0.000679	m	25	Plot	Paigen1   sandysto	Klhdc5	6:147108478	1426988_at	liver_HMDP_Lusis1

[12 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.