The cross-population Sum of Single Effects (SuSiEx) model is a robust and computationally efficient method for conducting multi-ancestry fine-mapping of genome-wide association signals, producing smaller credible sets and capturing population-specific causal variants.

Analysis of whole-genome sequencing data from over 10,000 tumor samples spanning 35 cancer types identifies putative driver genes and highlights new therapeutic opportunities.

The Human Endometrial Cell Atlas integrates single-cell transcriptomic datasets from women with and without endometriosis. Novel and known cell types are registered using spatial transcriptomics to provide a comprehensive map of the human endometrium in controls and endometriosis cases.

Yin Yang 1 (YY1) aids in the formation of enhancer–promoter (E–P) loops independently of cohesin. YY1 maintains a subset of E–P interactions in interphase and establishes an overlapping yet distinct set after mitotic exit.

A new method called polymerase error rate sequencing (PER-seq) can measure the nucleotide misincorporation rate of DNA polymerases. DNA polymerase ε mutants produce an excess of CpG<TpG errors during DNA replication in a deamination-independent manner resembling the mutation spectrum in tumors.

Genome-wide analyses identify common variants associated with 11 distinct neuropathology endophenotypes, providing insights into the mechanisms underlying the genetic risk of Alzheimer’s disease and related dementias.

Rare variant analyses identify a new type 2 diabetes risk allele near the LEP gene, which encodes leptin, and other risk alleles of intermediate penetrance in genes previously implicated in monogenic forms of diabetes.

Analyses of height and body mass index in 119,000 sibling pairs show that linkage and genome-wide association signals colocalize. Further analyses suggest that family-based linkage signals are fully consistent with a highly polygenic architecture.

Analysis of exomes and transcriptomes from 100 African American patients with acute myeloid leukemia identifies ancestry-related variation in mutation profiles and survival. Refined risk classification suggests clinical relevance of these ancestry-associated differences.

Genome-wide association and fine-mapping analyses in approximately 260,000 Japanese individuals combined with a newly constructed Japanese-specific genotype reference panel identify hundreds of new loci and putative causal variants for 63 quantitative traits.

Accurate naming of genetic variants is essential to identify clinical data that interpret the consequences of such variants. In partnership with the Human Genome Organization, we advocate for integration of VariantValidator in publishing of journals and databases, to improve the quality of shared genetic data and ultimately patient outcomes.

Polygenic scores (PGSs) have transformed human genetic research and have numerous potential clinical applications. Here we present a series of recent enhancements to the PGS Catalog and highlight the PGS Catalog Calculator, an open-source, scalable and portable pipeline for reproducibly calculating PGSs that democratizes equitable PGS applications.