[Hub]/) : Traits : Arm predicted mass (right) : ← →

chr3:55,894,951-57,412,804

Best TWAS P=3.07e-13 · Best GWAS P=1.4e-09 conditioned to 0.677

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	Cells Transformed fibroblasts	FAM208A	0.10	0.00	lasso	4	0.00	1.3e-01	-6.0	5.7	1.1e-08	-0.94	0.01	0.97	FALSE
2	YFS	Blood	CCDC66	0.11	0.09	lasso	8	0.11	6.0e-34	-5.4	-5.4	7.5e-08	0.50	0.24	0.76	FALSE
3	The Cancer Genome Atlas	Breast Invasive Carcinoma	CCDC66	0.09	0.03	lasso	8	0.05	4.2e-11	-4.9	-6.7	2.4e-11	0.65	0.16	0.84	FALSE
4	The Cancer Genome Atlas	Glioblastoma Multiforme	CCDC66	0.19	0.02	enet	14	0.12	1.7e-04	2.8	-5.4	5.5e-08	0.24	0.04	0.19	FALSE
5	The Cancer Genome Atlas	Head and Neck Squamous Cell Carcinoma	CCDC66	0.05	0.05	blup	56	0.06	1.0e-07	-6.0	-7.1	1.6e-12	0.81	0.00	1.00	FALSE
6	The Cancer Genome Atlas	Kidney Renal Clear Cell Carcinoma	C3orf63	0.03	0.01	enet	4	0.01	1.3e-02	-6.0	5.4	7.4e-08	-0.93	0.01	0.89	FALSE
7	The Cancer Genome Atlas	Kidney Renal Clear Cell Carcinoma	CCDC66	0.09	0.05	blup	56	0.06	5.3e-07	-5.4	-5.1	2.9e-07	0.60	0.13	0.87	FALSE
8	The Cancer Genome Atlas	Brain Lower Grade Glioma	CCDC66	0.16	0.13	enet	12	0.16	3.1e-17	-5.4	-5.6	2.6e-08	0.29	0.12	0.88	FALSE
9	The Cancer Genome Atlas	Lung Adenocarcinoma	CCDC66	0.05	0.06	blup	56	0.05	9.7e-07	-6.1	-7.3	3.1e-13	0.80	0.00	1.00	TRUE
10	The Cancer Genome Atlas	Lung Squamous Cell Carcinoma	CCDC66	0.03	0.03	blup	56	0.03	9.6e-05	-4.8	-6.1	1.3e-09	0.57	0.12	0.73	FALSE
11	The Cancer Genome Atlas	Pheochromocytoma and Paraganglioma	CCDC66	0.08	0.01	blup	56	0.07	7.2e-04	-5.4	-5.7	1.5e-08	0.36	0.07	0.42	FALSE
12	The Cancer Genome Atlas	Prostate Adenocarcinoma	CCDC66	0.15	0.10	enet	11	0.13	7.3e-14	-4.8	-5.7	1.0e-08	0.39	0.21	0.79	FALSE
13	The Cancer Genome Atlas	Stomach Adenocarcinoma	CCDC66	0.05	0.01	blup	57	0.02	8.4e-03	-4.9	-6.1	8.3e-10	0.64	0.06	0.62	FALSE