Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants
across many genomes to find those statistically associated with a specific trait or disease …

Recently, hyperbolic deep neural networks (HDNNs) have been gaining momentum as the
deep representations in the hyperbolic space provide high fidelity embeddings with few …

Gene–environment correlations affect associations between genetic variants and complex
traits in genome-wide association studies (GWASs). Here we showed in up to 43,516 British …

While global patterns of human genetic diversity are increasingly well characterized, the
diversity of human languages remains less systematically described. Here, we outline the …

Background & Aims Genetic factors associated with non-alcoholic fatty liver disease
(NAFLD) remain incompletely understood. To date, most genome-wide association studies …

Abstract Principal Component Analysis (PCA) is a multivariate analysis that reduces the
complexity of datasets while preserving data covariance. The outcome can be visualized on …

The gut microbiomes of human populations worldwide have many core microbial species in
common. However, within a species, some strains can show remarkable population …

Abstract Knowledge of genome-wide genealogies for thousands of individuals would
simplify most evolutionary analyses for humans and other species, but has remained …

Background Tinnitus prevalence studies report large variability across countries that might
be due to inconsistent research methods. Our study aimed to report a single Pan-European …

The vast majority of genome-wide association studies (GWASs) are performed in
Europeans, and their transferability to other populations is dependent on many factors (eg …