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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 populations.
Massively parallel reporter assay in primary human CD4+ T cells and bulk and single-cell CRISPR-interference screens identify candidate causal variants linked to autoimmune disease risk that modulate T cell gene expression and proliferation.
Genome-wide association meta-analyses of attention-deficit/hyperactivity disorder symptom measures and clinical diagnoses identify new risk loci, highlight putative effector genes and yield improved polygenic risk scores.
Population history learning by averaging sampled histories is a new Bayesian method for estimating historical effective population size from recombining sequence data that offers improved speed and accuracy and enables uncertainty quantification and testing for ancient bottlenecks.
This Review discusses multiomic approaches for the characterization and biological understanding of cellular senescence, including detailed case studies on skeletal muscle and adipose tissue that highlight current outstanding issues in the field.
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.
This Review discusses noncanonical DNA methylation (mCH) in animal genomes and highlights the remaining need to clarify whether mCH represents a conserved regulatory layer or a lineage-specific epigenetic feature with distinct biological roles.
Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.
This Perspective presents the Solve-RD Solvathon model, an innovative, pan-European framework uniting clinical and bioinformatics experts to diagnose rare diseases through integrative multiomics analysis and structured collaboration.
Multiancestry fine-mapping of brain protein quantitative trait loci coupled with Mendelian randomization analyses identifies protein–trait pairs consistent with causal effects across neurological and psychiatric conditions.
SINGER is a method for creating ancestral recombination graphs to understand the genealogical history of genomes. The method has increased speed, and thus scalability, without sacrificing accuracy.
GSL5, a glucan synthase, acts as a suppressor of jasmonic acid-mediated immunity in cruciferous plants. Inactivation of GSL5 by genome editing confers high-level and broad-spectrum resistance to pathogens that cause clubroot disease in four cruciferous species.
RNAtracker is a computational pipeline that distinguishes variants associated with allele-specific RNA stability from those associated with allele-specific RNA transcription. Variants affecting RNA stability are enriched in immune-related genes and contribute to disease risk.
This study introduces the Cattle Cell Atlas, a single-cell expression resource including 1,793,854 cells from 59 tissues. Integrative analyses leveraging this atlas provide insights into the biology underlying bovine monogenic and complex traits.
