Machine learning, including deep learning, reinforcement learning, and generative artificial
intelligence are revolutionising every area of our lives when data are made available. With …

Genetic epidemiology is a growing area of interest in the past years due to the availability of
genetic data with the decreasing cost of sequencing. Machine learning (ML) algorithms can …

Genome-wide association studies (GWAS) have proven a powerful tool for human
geneticists to generate biological insights or hypotheses for drug discovery. Nevertheless, a …

Genome-wide association studies (GWAS) have revealed thousands of genetic loci that
underpin the complex biology of many human traits. However, the strength of GWAS–the …

Statistical methods for genome-wide association studies (GWAS) continue to improve.
However, the increasing volume and variety of genetic and genomic data make …

Motivation While the search for associations between genetic markers and complex traits
has led to the discovery of tens of thousands of trait-related genetic variants, the vast …

While the search for associations between genetic markers and complex traits has
discovered tens of thousands of trait-related genetic variants, the vast majority of these only …

The number of discovered genetic variants from genome-wide association (GWA) studies
(GWAS) has been growing rapidly. Centralized efforts such as the National Human Genome …

Genome-wide association studies have been useful in identifying common genetic variants
related to a variety of complex traits and diseases; however, they are often limited in their …

Genome-wide association studies (GWASs) have successfully identified many genetic
variants and risk loci for complex traits and common diseases in the last 15 years. However …