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
This dataset is a subset of the FinnMetSeq exome sequence analysis dataset.
Exome sequencing of Finnish isolates enhances rare-variant association power.
Locke A, Meltz Steinberg K, Chiang, CWK, Service S, et al.
Nature. 2019 Jul 31. doi: 10.1038/s41586-019-1457-z
The 13k exome sequence analysis dataset is a subset of the AMP T2D-GENES exome sequence analysis dataset.
Note that the samples in the GoT2D exome chip analysis and FUSION exome chip analysis datasets are a subset of those included in the ExTexT2D exome chip analysis dataset.
Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Flannick J, Fuchsberger C, Mahajan A, et al.
Sci Data. 2017 Dec 19;4:170179. doi: 10.1038/sdata.2017.179
Download summary statistics | README
A Loss-of-Function Splice Acceptor Variant in IGF2 Is Protective for Type 2 Diabetes.
Mercader M, et al.
Diabetes 2017 Nov;66(11):2903-2914. doi: 10.2337/db17-0187.
PMID:28838971
Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease.
Lu X, et al.
Nat Genet. 2017 Dec;49(12):1722-1730. doi: 10.1038/ng.3978.
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Justice AE, et al.
Nat Genet. 2019 Mar;51(3):452-469. doi: 10.1038/s41588-018-0334-2