Genome-wide association analyses identify risk loci for breast cancer in women of African ancestry. Polygenic risk scores derived from these data improve ancestry-specific risk prediction.

Analysis of genetic modifiers of 599 developmental disorder genes in the UK Biobank found that rare variant burden within this set, as well as the common polygenic background, can alter the expressivity of cognitive and socioeconomic traits in an additive manner.

BEAN is a Bayesian approach for analyzing base editing screens with improved effect size quantification and variant classification. Applied to low-density lipoprotein (LDL)-associated common variants and saturation base editing of LDLR, BEAN identifies new LDL uptake genes and offers insights into variant structure–pathogenicity mechanisms.

A pan-genome of Arabidopsis thaliana constructed using chromosome-level genome assemblies of 69 diverse accessions reveals a conserved genome structure throughout the global species range.

Comprehensive spatial multiomic profiling of high-grade meningiomas identifies intratumor and primary–recurrence subclonal heterogeneity. Cell line models recapitulating intratumor heterogeneity show differential sensitivity in drug screens.

GAGE-seq is a joint assay for 3D genome and transcriptome in single cells using combinatorial indexing to increase throughput. Applied to complex tissues, GAGE-seq enables the analysis of links between 3D organization and gene expression in rare cell types.

Analysis of EZH2 separation-of-function mutants indicates that part of the RNA-binding surface of EZH2 is necessary for histone modification independently of RNA. A specific RNA-binding-defective mutant shows normal enzymatic activity in vitro and in lineage-committed cells.

Fitness-based analysis of 200,618 UK Biobank exomes and single-cell-derived hematopoietic clones identifies 17 genes under positive selection, including novel drivers of clonal hematopoiesis.

Genome-wide association analyses identify risk loci for breast cancer in women of African ancestry. Polygenic risk scores derived from these data improve ancestry-specific risk prediction.

Amplification-free single-cell whole-genome sequencing shows that genomic, evolutionary and biophysical factors collectively drive cell-to-cell variation in mitochondrial DNA copy number.

Defining minimal standards for data collection is key to creating interoperative, searchable genomic and clinical databases. We highlight here the 1+Million Genomes Minimal Dataset for Cancer, encompassing 140 items in 8 domains to foster the collection of cancer data, inform transnational cooperation and advance precision cancer medicine.

The recently launched Egyptian Genome Project aims to sequence genomic variants of 100,000 apparently healthy Egyptian adults, with around 8,000 individuals suspected to have a genetic disease, as well as 200 ancient Egyptian mummies. The project will provide the first comprehensive genomic dataset from Egypt and North Africa.