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

chr10:90,278,380-91,869,909

Best TWAS P=4.19e-15 · Best GWAS P=5.36e-15 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 METSIM Adipose LIPA 0.08 0.06 enet 20 0.06 6.3e-09 7.7 7.6 3.3e-14 0.93 0.00 1.00 FALSE
2 NTR Blood LIPA 0.30 0.22 lasso 6 0.24 1.2e-77 7.8 7.8 8.5e-15 0.95 0.00 1.00 FALSE
3 The Cancer Genome Atlas Breast Invasive Carcinoma LIPA 0.07 0.06 lasso 4 0.06 9.8e-12 7.7 7.5 5.0e-14 0.93 0.00 1.00 FALSE
4 The Cancer Genome Atlas Glioblastoma Multiforme LIPA 0.15 0.11 enet 8 0.05 1.5e-02 7.4 6.3 3.3e-10 0.88 0.01 0.94 FALSE
5 The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma LIPA 0.28 0.16 enet 13 0.16 1.3e-17 7.8 7.3 2.3e-13 0.95 0.00 1.00 FALSE
6 The Cancer Genome Atlas Brain Lower Grade Glioma LIPA 0.11 0.05 lasso 3 0.04 1.2e-05 7.8 7.8 4.4e-15 0.95 0.00 1.00 FALSE
7 The Cancer Genome Atlas Lung Adenocarcinoma LIPA 0.14 0.06 lasso 5 0.07 3.9e-08 7.6 7.8 7.2e-15 0.97 0.00 1.00 FALSE
8 The Cancer Genome Atlas Lung Squamous Cell Carcinoma LIPA 0.14 0.11 lasso 5 0.10 1.1e-11 7.8 7.8 4.2e-15 1.00 0.00 1.00 TRUE
9 The Cancer Genome Atlas Ovarian Serous Cystadenocarcinoma LIPA 0.16 0.11 lasso 2 0.10 3.7e-07 7.8 7.8 8.3e-15 1.00 0.00 1.00 FALSE
10 The Cancer Genome Atlas Prostate Adenocarcinoma KIF20B 0.03 0.02 blup 75 0.01 1.0e-02 4.4 -5.3 1.3e-07 -0.14 0.03 0.74 TRUE
11 The Cancer Genome Atlas Prostate Adenocarcinoma LIPA 0.11 0.03 lasso 8 0.05 7.1e-06 7.6 6.8 9.5e-12 0.88 0.01 0.99 FALSE
12 The Cancer Genome Atlas Testicular Germ Cell Tumors LIPA 0.15 0.05 enet 5 0.10 1.7e-04 7.4 6.8 7.6e-12 0.94 0.00 0.99 FALSE
13 The Cancer Genome Atlas Thyroid Carcinoma LIPA 0.16 0.11 enet 11 0.12 4.1e-12 7.8 7.4 1.8e-13 0.97 0.00 1.00 FALSE