[Hub]/) : Traits : Sitting height :

chr9:93,630,445-96,338,382

Best TWAS P=1.53e-13 · Best GWAS P=1.56e-16 conditioned to 0.193

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 ECM2 0.05 0.00 lasso 4 0.00 1.2e-01 7.3 -7.0 2.8e-12 -0.82 0.05 0.76 FALSE
2 GTEx Artery Aorta ECM2 0.11 0.10 lasso 10 0.09 1.1e-05 -4.2 -5.4 7.3e-08 -0.63 0.33 0.65 FALSE
3 GTEx Brain Cerebellar Hemisphere IPPK 0.17 0.22 lasso 13 0.16 6.8e-05 -5.1 -5.4 6.4e-08 -0.72 0.18 0.75 FALSE
4 GTEx Cells Transformed fibroblasts IPPK 0.11 0.09 lasso 8 0.07 7.8e-06 7.2 7.4 1.5e-13 0.95 0.04 0.96 TRUE
5 GTEx Uterus ZNF484 0.23 0.05 lasso 3 0.05 3.0e-02 6.6 -6.5 6.1e-11 -0.82 0.05 0.38 FALSE
6 METSIM Adipose ROR2 0.12 0.04 bslmm 639 0.05 3.2e-08 1.9 6.5 9.5e-11 0.14 1.00 0.00 TRUE
7 The Cancer Genome Atlas Breast Invasive Carcinoma ECM2 0.03 0.02 lasso 5 0.02 3.9e-05 7.7 -7.3 3.8e-13 -0.90 0.01 0.99 FALSE
8 The Cancer Genome Atlas Cervical Squamous Cell Carcinoma IPPK 0.06 0.03 blup 49 0.04 5.8e-03 -3.6 6.0 2.3e-09 0.66 0.03 0.29 FALSE
9 The Cancer Genome Atlas Glioblastoma Multiforme ROR2 0.17 0.00 blup 261 0.07 4.6e-03 6.8 5.9 3.5e-09 0.00 0.12 0.25 TRUE
10 The Cancer Genome Atlas Head and Neck Squamous Cell Carcinoma BICD2 0.14 0.06 blup 52 0.07 5.2e-08 -4.3 -5.3 1.3e-07 -0.55 0.98 0.02 FALSE
11 The Cancer Genome Atlas Kidney Renal Papillary Cell Carcinoma BICD2 0.10 0.03 blup 52 0.03 1.3e-02 -4.3 -5.2 1.8e-07 -0.60 0.03 0.11 FALSE
12 The Cancer Genome Atlas Brain Lower Grade Glioma BICD2 0.06 0.02 blup 52 0.05 2.9e-06 -3.9 -6.6 3.5e-11 -0.77 0.01 0.99 FALSE
13 The Cancer Genome Atlas Ovarian Serous Cystadenocarcinoma IPPK 0.03 0.02 blup 51 0.01 3.2e-02 -3.5 5.9 4.6e-09 0.66 0.03 0.62 FALSE
14 The Cancer Genome Atlas Testicular Germ Cell Tumors CENPP 0.19 0.09 blup 158 0.08 7.1e-04 -3.6 5.3 1.1e-07 0.53 0.04 0.40 FALSE