Genome-wide association studies (GWAS) involve testing genetic variants across the
genomes of many individuals to identify genotype–phenotype associations. GWAS have …

Risk of disease is multifactorial and can be shaped by socio-economic, demographic,
cultural, environmental and genetic factors. Our understanding of the genetic determinants …

Background Polygenic risk score (PRS) analyses have become an integral part of
biomedical research, exploited to gain insights into shared aetiology among traits, to control …

Genome-wide association studies (GWAS) have laid the foundation for investigations into
the biology of complex traits, drug development and clinical guidelines. However, the …

Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of
neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic …

Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting
substantial pleiotropy of contributing loci. However, the nature and mechanisms of these …

A historical tendency to use European ancestry samples hinders medical genetics research,
including the use of polygenic scores, which are individual-level metrics of genetic risk. We …

More than one in three adults worldwide is either overweight or obese. Epidemiological
studies indicate that the location and distribution of excess fat, rather than general adiposity …

Synapses are fundamental information-processing units of the brain, and synaptic
dysregulation is central to many brain disorders (" synaptopathies"). However, systematic …

Functional genomics data has the potential to increase GWAS power by identifying SNPs
that have a higher prior probability of association. Here, we introduce a method that …