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Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.

Suzuki, Ken, Konstantinos Hatzikotoulas, Lorraine Southam, Henry J Taylor, Xianyong Yin, Kim M Lorenz, Ravi Mandla, et al. 2023. “Multi-Ancestry Genome-Wide Study in >2.5 Million Individuals Reveals Heterogeneity in Mechanistic Pathways of Type 2 Diabetes and Complications.”. MedRxiv : The Preprint Server for Health Sciences.

Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution.

Mägi, Reedik, Momoko Horikoshi, Tamar Sofer, Anubha Mahajan, Hidetoshi Kitajima, Nora Franceschini, Mark I McCarthy, T2D-GENES Consortium COGENT-Kidney Consortium, and Andrew P Morris. 2017. “Trans-Ethnic Meta-Regression of Genome-Wide Association Studies Accounting for Ancestry Increases Power for Discovery and Improves Fine-Mapping Resolution.”. Human Molecular Genetics 26 (18): 3639-50.