Genetic analysis identifies risk loci for cannabis use disorder and shows overlap with impulsivity and psychopathology.

See Levey et al.

Single-haplotype genome assemblies from five cat species shed light on the evolutionary dynamics of structural variation.

See Bredemeyer et al.

The colors in this abstract image depict the cell heterogeneity found within HR+/HER2– breast cancer tissue, as well as different molecular subtypes.

See Jin et al.

Mutant clones in facial skin from middle-aged people in the UK. Colored circles indicate mutated genes under positive selection.

See King et al.

Suppression of GY3 boosts cytokinin synthesis and enhances grain yield in rice, depicted by rice terraces in China.

See Wu et al.

An exome-wide association study identifies rare coding variants in CHRNB2 that may reduce the likelihood of smoking.

See Rajagopal et al.

A new statistical method known as GASPACHO identifies nonlinear dynamic genetic effects using single-cell RNA-sequencing data.

See Kumasaka et al.

Genetic variants can lead to aberrant splicing whereby exons are skipped or incorrectly included in a transcript, which may cause disease. This is depicted by the odd presence of a red segment (‘wrong exon’) in a rope. AbSplice is a model that predicts the effect of DNA variation on tissue-specific RNA splicing.

See Wagner, Çelik et al.

Transitional liver progenitor cells, which derive from biliary epithelial cells, differentiate into hepatocytes after serious liver damage. The cover illustrates this regenerative process, as new hepatocytes (green leaves) are formed and emerge via the biliary ducts.

See Pu et al.

In their multi-ancestry genome-wide association meta-analysis of lung function, Shrine et al. implicate genes and pathways involved in lung development and regeneration, including smooth muscle function, epithelial morphology and barrier function. The image shows human fetal lung tissue, in which differentiating epithelium (white/red) is surrounded by developing smooth muscle (green).

See Shrine et al.

Malformations of cortical development (MCD) are largely caused by somatic mosaic mutations, illustrated here by a 3D brain mosaic. Chung et al. analyzed patients with MCD, and identified disease-associated genes. Single-nucleus RNA sequencing (snRNA-seq) and mouse modeling implicated radial glia and daughter excitatory neurons.

See Chung et al.

SPICEMIX is a computational tool that determines cell identities by analyzing intrinsic and spatial factors, enabling the identification of spatially variable metagenes and refined cell subtypes. This image shows a mixture of dried spices on a black slate, illustrating the heterogeneous cell populations in mammalian tissues.

See Chidester et al.