Although genome-wide association studies have identified markers that are associated with
various human traits and diseases, our ability to predict such phenotypes remains limited. A …

Current genome-wide association studies do not yet capture sufficient diversity in
populations and scope of phenotypes. To expand an atlas of genetic associations in non …

Genetic factors strongly affect susceptibility to common diseases and also influence disease-
related quantitative traits. Identifying the relevant genes has been difficult, in part because …

Genome-wide association studies (GWAS) for quantitative traits and disease in humans and
other species have shown that there are many loci that contribute to the observed …

When the time came to decide on the topic for the next in the series of Human Molecular
Genetics reviews, on this occasion, there was little need for debate. The advent of genome …

Genome-wide association studies have successfully identified numerous loci at which
common variants influence disease risk or quantitative traits. Despite these successes, the …

Complex or quantitative traits are important in medicine, agriculture and evolution, yet, until
recently, few of the polymorphisms that cause variation in these traits were known. Genome …

The success of genome-wide association studies (GWASs) has led to increasing interest in
making predictions of complex trait phenotypes, including disease, from genotype data …

Abstract Knowledge of inherited genetic variation has a fundamental impact on
understanding human disease. Unfortunately, our understanding of the functional …

Phenotype prediction is a key goal for medical genetics. Unfortunately, most genome-wide
association studies are done in European populations, which reduces the accuracy of …