Genetics research articles from across Nature Portfolio

Genetic association tests prioritize candidate genes based on different criteria.

Genome-wide analyses of 10 educational fields identify 17 associated loci. Analysis of genetic clustering across specializations identifies two key dimensions that show genetic overlap with personality traits, behavioral traits and socioeconomic status.

Liability threshold phenotypic integration combines genetic relatedness with phenotypic information to derive new continuous phenotypes for a target disease, improving genome-wide association study power and disease risk prediction accuracy.

This Perspective examines the challenges to equitable participation of migrants and immigrants in genetics research and proposes inclusive, community-driven approaches to advance scientific discovery and overcome health disparities.

Germany is paving the way toward genomics-based personalized healthcare and translational research.

Three studies that leverage blood-based gene expression data identify molecular and cellular host response signatures in sepsis and critical illnesses, opening a pathway to mechanism-anchored precision therapy.

The scale and population coverage of Our Future Health, alongside other next-generation biobanks, offers unique opportunities to advance genomic medicine. Focusing on the UK context, we provide a researcher’s perspective of how this new resource could reach its full potential in a way that is impactful, user-friendly and informs related global efforts.

We propose a roadmap for promoting a data-sharing culture in African health research governed by data justice and solidarity. This framework integrates dynamic consent, equitable benefit-sharing, reciprocity, data custodianship, controlled access infrastructures, and data sovereignty

Targeting inflammation has emerged as a promising strategy to reduce residual cardiovascular risk. A study now uses human genetics to show that IL-6 inhibition is associated with a lower risk of cardiovascular disease with no increase in infection, supporting the use of pharmacological treatments that target IL-6 rather than its receptor.

Medical digital twins hold promises for advancing personalized medicine. With the rapid growth of multi-organ and multi-omics biomedical data, artificial intelligence can drive more holistic and integrated medical digital twins for human ageing and disease.