Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.
Ligthart S, et al.
Am J Hum Genet. 2018 Nov 1;103(5):691-706. doi: 10.1016/j.ajhg.2018.09.009
Note that the samples in this dataset overlap with those in the Biobank Japan GWAS and CKDGen GWAS datasets.
All CKDGen GWAS datasets draw upon overlapping sample sets.
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Teumer A, et al.
Nat Commun. 2019 Sep 11;10(1):4130. doi: 10.1038/s41467-019-11576-0
European ancestry samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci.
Gaulton KJ, et al.
Nat Genet. 2015 Dec;47(12):1415-25. doi: 10.1038/ng.3437.
New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk.
Lu Y, et al.
Nat Commun. 2016 Feb 1;7:10495. doi: 10.1038/ncomms10495
Summary statistics are available for download from the Japanese ENcyclopedia of GEnetic associations by Riken.
Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases.
Kanai M, et al.
Nat Genet. 2018 Mar;50(3):390-400. doi: 10.1038/s41588-018-0047-6.
PMID: 29403010
Summary statistics are available for download from the Japanese ENcyclopedia of GEnetic associations by Riken.
Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases.
Kanai M, et al.
Nat Genet. 2018 Mar;50(3):390-400. doi: 10.1038/s41588-018-0047-6.
PMID: 29403010
Summary statistics are available for download from the Japanese ENcyclopedia of GEnetic associations by Riken.
Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases.
Kanai M, et al.
Nat Genet. 2018 Mar;50(3):390-400. doi: 10.1038/s41588-018-0047-6.
PMID: 29403010
Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.
Dastani Z, et al.
PLoS Genet. 2012;8(3):e1002607. doi: 10.1371/journal.pgen.1002607
Note that samples from the European cohorts of AAGILE GWAS are included in the MAGIC Metabochip GWAS dataset.
Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.
Liu CT, et al.
Am J Hum Genet. 2016 Jul 7;99(1):56-75. doi: 10.1016/j.ajhg.2016.05.006