[Hub]/) : Traits : Weight :

chr10:117,894,117-119,582,073

Best TWAS P=4.61e-11 · Best GWAS P=9.49e-12 conditioned to 1

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 GTEx Artery Aorta KIAA1598 0.28 0.05 lasso 6 0.04 2.0e-03 6.8 5.9 3.6e-09 0.81 0.02 0.97 FALSE
2 GTEx Artery Tibial KIAA1598 0.07 0.02 lasso 2 0.02 5.1e-03 6.3 6.5 5.9e-11 0.96 0.02 0.98 FALSE
3 GTEx Cells Transformed fibroblasts KIAA1598 0.20 0.21 lasso 3 0.22 4.4e-16 5.9 5.8 6.1e-09 0.85 0.14 0.86 FALSE
4 GTEx Colon Transverse RP11-539I5.1 0.12 0.05 lasso 2 0.04 5.8e-03 6.8 6.3 2.5e-10 0.96 0.01 0.99 FALSE
5 GTEx Lung KIAA1598 0.10 0.10 lasso 6 0.09 1.2e-07 6.3 6.3 2.2e-10 0.97 0.04 0.96 FALSE
6 GTEx Spleen KIAA1598 0.27 -0.01 enet 18 0.00 3.8e-01 6.5 5.2 1.7e-07 0.78 0.05 0.51 FALSE
7 GTEx Thyroid KIAA1598 0.08 0.07 lasso 1 0.06 4.1e-05 6.6 -6.6 4.6e-11 -0.97 0.01 0.99 TRUE
8 GTEx Whole Blood KIAA1598 0.27 0.22 lasso 3 0.21 5.7e-19 6.3 6.4 1.9e-10 0.97 0.03 0.97 FALSE
9 GTEx Whole Blood ENO4 0.17 0.09 lasso 3 0.11 5.3e-10 6.3 6.0 1.9e-09 0.92 0.02 0.98 FALSE
10 METSIM Adipose KIAA1598 0.07 0.11 lasso 8 0.10 2.0e-14 6.3 6.2 5.3e-10 0.96 0.03 0.97 FALSE
11 NTR Blood KIAA1598 0.12 0.20 lasso 4 0.19 3.3e-59 6.3 6.3 2.6e-10 0.98 0.07 0.93 FALSE
12 YFS Blood KIAA1598 0.39 0.64 enet 21 0.64 1.0e-279 6.3 6.5 1.0e-10 0.97 0.05 0.95 FALSE
13 The Cancer Genome Atlas Breast Invasive Carcinoma KIAA1598 0.01 0.01 blup 82 0.01 4.8e-03 6.8 6.1 1.0e-09 0.91 0.02 0.92 FALSE
14 The Cancer Genome Atlas Colon Adenocarcinoma KIAA1598 0.13 0.07 lasso 6 0.06 3.7e-04 5.8 5.9 3.6e-09 0.79 0.04 0.91 FALSE
15 The Cancer Genome Atlas Head and Neck Squamous Cell Carcinoma KIAA1598 0.02 0.03 enet 8 0.04 2.4e-05 6.3 6.4 1.7e-10 0.95 0.02 0.98 FALSE
16 The Cancer Genome Atlas Lung Squamous Cell Carcinoma KIAA1598 0.04 0.04 enet 6 0.06 2.1e-07 6.4 6.5 1.1e-10 0.93 0.03 0.97 FALSE
17 The Cancer Genome Atlas Stomach Adenocarcinoma KIAA1598 0.05 0.03 enet 5 0.02 2.2e-02 5.9 6.2 6.6e-10 0.80 0.03 0.56 FALSE