Most samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" 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
An atlas of genetic influences on osteoporosis in humans and mice.
Morris JA, et al.
Nat Genet. 2019 Feb;51(2):258-266. doi: 10.1038/s41588-018-0302-x
Summary statistics are available for download from the GWAS Catalog.
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, et al.
Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914
Summary statistics are available for download from the GWAS Catalog.
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, et al.
Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914
Download summary statistics | README
Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico.
SIGMA Type 2 Diabetes Consortium, et al.
Nature. 2014 Feb 6;506(7486):97-101. doi: 10.1038/nature12828
Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.
Psychiatric GWAS Consortium Bipolar Disorder Working Group, et al.
Nat Genet. 2011 Sep 18;43(10):977-83. doi: 10.1038/ng.943
Most samples in this dataset are included in the "DIAMANTE (European) T2D GWAS" dataset.
The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.
Laakso M, et al.
J Lipid Res. 2017 Mar;58(3):481-493. doi: 10.1194/jlr.O072629
Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
Ng MC, et al.
PLoS Genet. 2014 Aug 7;10(8):e1004517. doi: 10.1371/journal.pgen.1004517.
Download URL: https://www.magicinvestigators.org/downloads/
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
Wheeler E, et al.
PLoS Med. 2017 Sep 12;14(9):e1002383. doi: 10.1371/journal.pmed.1002383
Download URL: https://www.magicinvestigators.org/downloads/
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
Wheeler E, et al.
PLoS Med. 2017 Sep 12;14(9):e1002383. doi: 10.1371/journal.pmed.1002383