Genome-wide analyses in up to 121,579 pregnant women from China identify genetic associations across 111 phenotypes, including gestation-specific effects and interactions with gestational timing.

The authors present INCOMMON, an open-source Bayesian inference tool that determines the multiplicity and copy number of driver mutations from tumor sequencing datasets.

Intrinsically disordered regions impose regulatory restraints on gene-activating demethylases, limiting chromatin engagement and preserving genomic stability. This function is a key determinant of the distinct substrate preferences and regulatory activities of FTO and ALKBH5 in mammals and plants.

A pangenome of tetraploid wheat constructed from 12 de novo genome assemblies spanning 10 subspecies, integrating with whole-genome sequencing data, highlights genetic variation associated with agricultural traits.

This study generates a method to detect correlation of causal complex trait effect sizes between proximal SNPs, finding variation by functional annotation and support for stabilizing selection, whereby proximal SNPs in positive linkage disequilibrium have effects in opposite directions.

This study shows that hnRNPK binds nascent RNAs transcribed from enhancers and promoters to promote enhancer–promoter looping and transcriptional activation, potentially via recruitment of Pol II through phase separation.

Molecular profiling of myeloid cells from the prefrontal cortex of 1,607 donors with varying degrees of Alzheimer’s disease neuropathology delineates distinct myeloid subtypes and identifies changes associated with aging and disease progression.

Integrative analyses of whole-genome and transcriptome sequencing on Japanese colorectal cancer along with whole-genome metagenomic sequencing on fecal samples characterize host–microbiome interactions and colibactin-associated mutational signatures.

High-resolution mapping of promoter-anchored chromosomal contacts in type 3 innate lymphoid cells (ILC3s), coupled with GWAS effector gene prioritization and functional studies, identifies ILC3-linked genes as potential mediators of risk for several immune diseases.

scE2G is a family of models that predict enhancer–gene regulatory interactions from single-cell datasets and enable mapping of these interactions across diverse cell types and tissues.

Human behavior is often framed around the ‘nature versus nurture’ debate, but a ‘this or that’ dichotomy does not reflect the current research in genetics and hinders meaningful dialogue. We describe a new generation of research centered around complexity and encourage geneticists to translate this to their communication, teaching and collaboration.