T1DGC 2021 ImmunoChip: Europeans
Publications
Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes .
Robertson CC, et al.
Submitted for publication, 2021
bioRxiv preprint
T1DGC 2021 ImmunoChip
Publications
Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes .
Robertson CC, et al.
Submitted for publication, 2021
bioRxiv preprint
GLGC GWAS: Europeans
Summary statistics are available for download from the GWAS Catalog.
Publications
Discovery and refinement of loci associated with lipid levels.
Willer CJ, et al.
Nat Genet. 2013 Nov;45(11):1274-83. doi: 10.1038/ng.2797
PMID: 24097068
EGL method - CARDIoGRAM
To prioritize likely causal genes for each of 241 genomewide-significant CAD association signals, eight locus-based or similarity-based predictors of causal genes were considered:
CAD effector gene predictions
Coronary artery disease effector gene predictions
View predictions for:
Reference:
Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.
AMP-T2D UCSD Diabetic Complications: East Asians
Publications
Salem R, et al. (2021) Unpublished.
AMP-T2D UCSD Diabetic Complications: South Asians
Publications
Salem R, et al. (2021) Unpublished.
AMP-T2D UCSD Diabetic Complications: Hispanics
Publications
Salem R, et al. (2021) Unpublished.
AMP-T2D UCSD Diabetic Complications: African Americans
Publications
Salem R, et al. (2021) Unpublished.
Uganda Genome Resource pan-African GWAS
Summary statistics are available for download from the GWAS Catalog.
Publications
Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa.
Gurdasani D, et al.
Cell. 2019 Oct 31;179(4):984-1002.e36. doi: 10.1016/j.cell.2019.10.004.ation
PMID:31675503