The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …

A polygenic score (PGS) or polygenic risk score (PRS) is an estimate of an individual's
genetic liability to a trait or disease, calculated according to their genotype profile and …

Behaviors and disorders related to self-regulation, such as substance use, antisocial
behavior and attention-deficit/hyperactivity disorder, are collectively referred to as …

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 …

Genome-wide association analysis of cohorts with thousands of phenotypes is
computationally expensive, particularly when accounting for sample relatedness or …

Prediction of disease risk is an essential part of preventative medicine, often guiding clinical
management. Risk prediction typically includes risk factors such as age, sex, family history of …

Immune checkpoint inhibitors (ICIs) have yielded remarkable responses but often lead to
immune-related adverse events (irAEs). Although germline causes for irAEs have been …

Brain aging process is influenced by various lifestyle, environmental and genetic factors, as
well as by age-related and often coexisting pathologies. Magnetic resonance imaging and …

Objectives Genome‐wide association studies (GWAS) have become increasingly popular to
identify associations between single nucleotide polymorphisms (SNPs) and phenotypic …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …