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
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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
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.
Turcot V, et al.
Nat Genet. 2018 Jan;50(1):26-41. doi: 10.1038/s41588-017-0011-x
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.