During the last decade, there have been substantial advances in the identification and
characterization of DNA sequence variants associated with individual predisposition to type 1 and …

… Using the five genetic clusters described in [61] (sometimes referred to as the Udler
clusters), individuals with type 2 diabetes who fell in the top 10th percentile of just one cluster-…

Background Heterogeneity in type 2 diabetes presentation and progression suggests that
precision medicine interventions could improve clinical outcomes. We undertook a systematic …

Background Type 2 diabetes (T2D) is a heterogeneous disease for which (1) disease-causing
pathways are incompletely understood and (2) subclassification may improve patient …

Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to
disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with …

Type 2 diabetes has been reproducibly clustered into five subtypes with different disease
progression and risk of complications; however, etiological differences are unknown. We used …

… We note that the MEDIA T2D GWAS was imputed to HapMap reference panels and included
a relatively small number of genetic variants (~2.5M) across the genome. As a result, the …

Daytime napping is a common, heritable behavior, but its genetic basis and causal
relationship with cardiometabolic health remain unclear. Here, we perform a genome-wide …

Polygenic scores (PGSs) combine the effects of common genetic variants 1 , 2 to predict risk
or treatment strategies for complex diseases 3 , 4 , 5 , 6 – 7 . Adding rare variation to PGSs …

For any given level of overall adiposity, individuals vary considerably in fat distribution. The
inherited basis of fat distribution in the general population is not fully understood. Here, we …