[Hub]/) : Traits : Tanning :

chr9:15,714,465-18,201,083

Best TWAS P=1.13e-54 · Best GWAS P=1.73e-232 conditioned to 4.9e-125

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 Adipose Subcutaneous CNTLN 0.11 0.08 lasso 1 0.05 7.6e-05 6.6 6.6 4.6e-11 0.08 1.00 0.00 FALSE
2 GTEx Artery Aorta CNTLN 0.18 0.07 lasso 8 0.04 2.4e-03 3.9 6.5 1.0e-10 0.08 0.92 0.00 TRUE
3 GTEx Colon Transverse CNTLN 0.16 0.02 enet 21 0.06 1.3e-03 3.9 9.5 1.4e-21 0.19 0.32 0.05 TRUE
4 GTEx Muscle Skeletal BNC2 0.13 0.03 lasso 6 0.02 2.1e-03 16.8 15.6 1.1e-54 0.38 0.32 0.09 TRUE
5 METSIM Adipose CNTLN 0.07 0.06 bslmm 789 0.06 1.1e-09 6.6 9.3 1.1e-20 0.20 1.00 0.00 TRUE
6 The Cancer Genome Atlas Bladder Urothelial Carcinoma CNTLN 0.06 0.07 lasso 1 0.05 5.1e-05 6.1 6.0 1.4e-09 0.08 0.43 0.52 TRUE
7 The Cancer Genome Atlas Glioblastoma Multiforme BNC2 0.27 -0.01 enet 14 0.09 1.2e-03 8.5 9.5 2.4e-21 0.28 0.04 0.18 TRUE
8 The Cancer Genome Atlas Head and Neck Squamous Cell Carcinoma CNTLN 0.07 0.09 lasso 4 0.09 4.6e-10 6.4 6.4 1.2e-10 0.08 0.30 0.70 FALSE
9 The Cancer Genome Atlas Lung Squamous Cell Carcinoma CNTLN 0.11 0.08 enet 16 0.10 7.9e-12 3.8 5.4 6.3e-08 0.06 0.61 0.39 FALSE
10 The Cancer Genome Atlas Ovarian Serous Cystadenocarcinoma CNTLN 0.15 0.04 enet 10 0.11 1.0e-07 5.0 6.3 3.9e-10 0.09 0.51 0.46 FALSE