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Feltham et al. develop a sampling strategy to evaluate social network cognition across 82 Honduran villages, systematically mapping the underlying village networks.

Study shows PTSD predisposition shares distinct genes and genomic regions with several cardiovascular conditions. Here the findings reveal neuronal, immune, and metabolic pathways, and repurposed drug targets that further the understanding of the comorbidity.

In the 12-week, phase 2a DUET study, treatment with TERN-501, a thyroid hormone receptor β agonist, as monotherapy or in combination with TERN-101, a farnesoid X receptor agonist, resulted in dose-dependent reductions in liver fat content as compared to placebo in patients with presumed metabolic dysfunction-associated steatohepatitis.

Sarcomas are a group of mesenchymal malignancies which are molecularly heterogeneous. Here, the authors develop an in vivo muscle electroporation system for gene delivery to generate distinct subtypes of orthotopic genetically engineered mouse models of sarcoma, as well as syngeneic allograft models with scalability for preclinical assessment of therapeutics.

Parhizkar et al. show that lemborexant, an orexin receptor antagonist, protects against neurodegeneration in male tau transgenic mice by preventing tau protein build-up and inflammation, highlighting its potential for preventing neurodegeneration.

BRCA1 and BRCA2 are well known breast cancer predisposition genes, however, many variants have not yet been classified for their pathogenicity. Here, the authors analyse a large combined cohort to provide evidence of variant pathogenicity.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

An analysis of data from 522 population-based studies encompassing 82 global regions and spanning more than a century (1920–2024) shows spatiotemporal transitions across epidemiologic stages 1 to 3 of inflammatory bowel disease, and models stage 4 progression.

Genomic studies often lack representation from diverse populations, limiting equitable insights. Here, the authors show that the BIG Initiative captures extensive genetic diversity and reveals ancestry-linked health disparities in a community-based Mid-South cohort.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Bosonic qubits can be engineered to feature intrinsic protection against certain kinds of errors, which makes quantum error correction across many bosonic qubits possible with less overhead.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Examination of demographic age trajectories for species from a wide range of taxonomic groups shows that these species have very diverse life-history patterns; mortality and reproduction vary greatly with age for both long- and short-lived species, and the relationships between ageing, mortality and reproduction are clearly complex.

Placenta accreta is a major complication of pregnancy that occurs when part of the placenta fails to separate normally from the uterus at delivery. In this Primer, Jauniaux et al. discuss the epidemiology, pathophysiology, diagnosis, current management options and future research areas.

Clonal hematopoiesis is driven by the selective advantage of mutant hematopoietic stem cells. Here, authors discover that elevated mitochondrial activity is a targetable mechanism by which mutant hematopoietic stem cells gain a selective advantage.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

The authors use Patch-seq and electron microscopy datasets to relate synaptic connectivity to the transcriptomic cell type of different types of inhibitory neuron.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Some cancer patients first present with metastases where the ___location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.