[Hub]/) : Traits : Blood Eosinophil Count :

chr21:44,392,270-46,360,297

Best TWAS P=1.17e-20 · Best GWAS P=1.25e-19 conditioned to 2.38e-05

Associated models

# Study Tissue Gene h2 eQTL R2 model # weights model R2 model R2 P eQTL GWAS Z TWAS Z TWAS P Top SNP corr PP3 PP4 joint
1 CommonMind Brain Pre-frontal Cortex AGPAT3 0.13 0.05 bslmm 446 0.07 4.4e-09 -2.6 -5.2 2.2e-07 0.15 1.00 0.00 FALSE
2 GTEx Esophagus Mucosa RRP1B 0.14 0.10 enet 13 0.11 8.0e-08 -4.8 -5.5 3.2e-08 -0.05 0.04 0.94 FALSE
3 GTEx Esophagus Mucosa PDXK 0.29 0.18 enet 12 0.24 4.1e-16 -4.5 -5.4 7.2e-08 0.01 1.00 0.00 FALSE
4 GTEx Esophagus Muscularis ICOSLG 0.16 0.07 lasso 4 0.09 7.0e-06 8.7 -7.9 3.4e-15 0.24 0.00 1.00 TRUE
5 GTEx Skin Not Sun Exposed Suprapubic ICOSLG 0.23 0.02 enet 5 0.05 1.2e-03 8.7 -9.3 1.2e-20 0.44 0.01 0.94 TRUE
6 GTEx Skin Sun Exposed Lower leg ICOSLG 0.21 0.08 enet 27 0.10 1.8e-08 -5.4 -6.7 1.7e-11 0.39 0.97 0.03 TRUE
7 METSIM Adipose ICOSLG 0.08 0.02 bslmm 488 0.04 3.8e-06 -9.1 -8.5 1.8e-17 0.51 0.00 1.00 FALSE
8 NTR Blood ICOSLG 0.05 0.01 enet 17 0.03 2.9e-10 -9.1 -6.7 2.4e-11 0.69 0.00 1.00 FALSE
9 The Cancer Genome Atlas Bladder Urothelial Carcinoma ICOSLG 0.07 0.02 enet 9 0.04 4.5e-04 -2.9 -7.9 3.7e-15 0.51 0.10 0.74 TRUE
10 The Cancer Genome Atlas Head and Neck Squamous Cell Carcinoma ICOSLG 0.10 0.08 blup 68 0.10 5.9e-11 -5.4 -7.8 5.9e-15 0.35 0.93 0.06 TRUE
11 The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma ICOSLG 0.09 0.06 blup 68 0.05 1.1e-06 -2.2 -5.5 2.9e-08 0.34 0.90 0.03 TRUE
12 The Cancer Genome Atlas Lung Adenocarcinoma ICOSLG 0.05 0.00 blup 68 0.02 2.4e-03 8.7 -6.1 1.4e-09 0.42 0.03 0.58 FALSE
13 The Cancer Genome Atlas Lung Squamous Cell Carcinoma ICOSLG 0.05 0.01 enet 12 0.02 9.7e-04 -4.7 -6.2 4.3e-10 0.45 0.05 0.18 FALSE
14 The Cancer Genome Atlas Lung Squamous Cell Carcinoma PDXK 0.04 0.00 blup 74 0.01 2.4e-02 3.3 5.6 1.6e-08 -0.04 0.00 0.07 TRUE
15 The Cancer Genome Atlas Pheochromocytoma and Paraganglioma HSF2BP 0.16 -0.01 blup 62 0.02 4.7e-02 3.0 5.4 6.7e-08 0.07 0.01 0.17 FALSE