Including diverse populations enhances the discovery of type 2 diabetes loci

Type 2 diabetes (T2D) is a prevalent and growing health concern globally, with substantial effect on individuals and healthcare systems. Recent advancements in genomic research, particularly genome-wide association studies (GWAS), have greatly contributed to our understanding of the genetic basis of T2D. However, many previous GWAS primarily focused on individuals of European ancestries, limiting the generalizability and translatability of findings across diverse populations. In response to this limitation, the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium gathered a diverse range of GWAS datasets to investigate the genetic underpinnings of T2D across multiple ancestral backgrounds. The study, published in Nature Genetics by Mahajan et al., encompassed a total of 180,834 individuals with T2D and 1,159,055 controls, with a strong representation of non-European ancestry populations.

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