Genome-wide association study uncovers 1,289 signals across eight distinct disease clusters in diverse populations, highlighting mechanistic heterogeneity in type 2 diabetes.
In Brief: The authors report the largest genetic study to date of Type 2 diabetes (T2D), pooling genome-wide association study (GWAS) data from 2 535 601 individuals (39.7% non-European ancestry), including 428 452 T2D cases. They identified 1289 independent association signals at genome-wide significance (P<5×10−8). These T2D GWAS signals could be separated into eight nonoverlapping clusters, characterised by distinct cardiometabolic disease associations.
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Suzuki et al. (2023) studied this question.
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