Plasma proteome profiling has surged as a promising avenue for biomarker discovery, yet comprehensive platform comparisons remain scarce. Here, the authors evaluate eight proteomics platforms, revealing key differences and complementary strengths, providing crucial insights for researchers into coverage trade-offs and implicating biomarker discovery and clinical applications.

Systematic comparison of genome-wide association results for disease risk and disease-specific mortality for nine common diseases across seven biobanks finds limited overlap between genetic effects on disease susceptibility and survival.

Health registers provide valuable insights into individuals’ health trajectories. This study explores the use of deep learning to model and analyze th…

The European Health Data Space (EHDS) regulation aims to facilitate cross-border sharing of health data across Europe. However, practical challenges related to data access, interoperability, quality, ...

Genome-wide analyses for 7,266 traits leveraging data from several genetic ancestry groups in UK Biobank identify new associations and enhance resources for interpreting risk variants across diverse p...

Delphi-2M forecasts a person’s future health, covering more than 1,000 diseases, provides insights into co-morbidity dynamics and generates synthetic data for the training of AI models that have never...

Some people call social science genetics a minefield. Others call it dangerous, even irresponsible. I call it the most promising field in life sciences.

Comparison of electronic health record-based phenotype risk scores (PheRS) and polygenic scores (PGS) across 13 common diseases and three biobank-based studies indicates that PheRS and PGS may provide...

An intellectually daring and deeply intimate exploration of how genetics complicates our ideas about blame, punishment and moral responsibility—from acclaimed psychologist and author of The Genetic....