EGL method - richards
The Effector Index (Ei) algorithm calculates the probability of causality for each gene at a locus that harbors genome-wide significant SNVs for a disease or trait.
Full documentation is available in:
Full documentation is available in:
Summary statistics are available for download at the GWAS Catalog.
Insights Into the Aetiology of Snoring From Observational and Genetic Investigations in the UK Biobank.
Campos AI, et al.
Nat Commun 2020 Feb 14;11(1):817. doi: 10.1038/s41467-020-14625-1.
PMID:32060260
Download summary statistics here.
Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis.
Allen RJ, et al.
Am J Respir Crit Care Med 2020 Mar 1;201(5):564-574. doi: 10.1164/rccm.201905-1017OC.
PMID:31710517
Summary statistics are available for download at the GWAS Catalog.
Insights Into the Aetiology of Snoring From Observational and Genetic Investigations in the UK Biobank.
Campos AI, et al.
Nat Commun 2020 Feb 14;11(1):817. doi: 10.1038/s41467-020-14625-1.
PMID:32060260
Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association With Mood Instability.
Ferguson A, et al.
EBioMedicine 2018 Sep;35:279-287. doi: 10.1016/j.ebiom.2018.08.004.
PMID:30120083
Summary statistic files are available for download from the GIANT consortium website.
Genome-wide Association Study of Body Fat Distribution Identifies Adiposity Loci and Sex-Specific Genetic Effects.
Rask-Andersen M, et al.
Nat Commun 2019 Jan 21;10(1):339. doi: 10.1038/s41467-018-08000-4.
PMID:30664634
Summary statistics are available for download at the GWAS Catalog.
Genome-wide Association Study of Type 2 Diabetes in Africa.
Chen J, et al.
Diabetologia. 2019 Jul;62(7):1204-1211. doi: 10.1007/s00125-019-4880-7.
PMID:31049640
Download summary statistics for this dataset (additive model analysis) and also for the analyses using the dominant, genotype, heterodominant, and recessive models.
Download summary statistics for this dataset (additive model analysis) and also for the analyses using the dominant, genotype, heterodominant, and recessive models.