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Cardiometabolic disease and depression often co-occur, but their multi-organ basis was unclear. Here, the authors analyse UK Biobank imaging and genetics, identifying abdomen-heart-brain networks and 43 shared loci, improving multimorbidity prediction

This study applies generalized linear mixed models (GLMM) and advanced transcriptome wide association study (TWAS) methods to improve the discovery of colorectal cancer risk transcription factors and genes, including potential druggable targets.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

Integrated multi-omics analysis uncovers the role of the vascular disease-associated gene PHACTR1 in regulating mitochondrial dynamics, iron metabolism, and cell cycle.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

Cancer and cardiometabolic disease (CMD) multi-morbidity is a major health concern. Here, the authors report transition patterns as well as shared and distinct multiomics signatures in the developmental trajectories of CMD and cancer.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

Systematic analysis from the Global Burden of Disease study reported that, despite global improvements from 1990 to 2021, dietary iron deficiency-associated disease burden remains high in women, children and residents in low socio-demographic index countries.

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.

Actinobacteria grow by inserting new cell wall material at the cell poles. Here, Zhong et al. show that a stomatin-like protein modulates polar growth under hyperosmotic stress by facilitating the formation of membrane microdomains with increased membrane fluidity and interacting with components of the glycan synthesis machinery.

Genome-wide association analyses based on whole-genome sequencing and imputation identify 40 new risk variants for colorectal cancer, including a strongly protective low-frequency variant at CHD1 and loci implicating signaling and immune function in disease etiology.

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.

A novel covalent inhibitor, ISM3312, targets the main protease of multiple human coronaviruses, including drug-resistant strains, and shows broad antiviral activity. It offers a promising therapeutic strategy against current and future coronavirus threats.

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.

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.

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.

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.

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.

Here the authors provide a multi-omic study of the nucleosome landscape in LNCaP cells and observe nine functional nucleosome states each with characteristic nucleosome footprints. Upon androgen stimulation, they observed changes in these nucleosome states accompanied by changes in binding and function of pioneer factors, including GATA2.

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.

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

AlphaFold 3 has a substantially updated architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues with greatly improved accuracy over many previous specialized tools.

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.

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.

A deep-learning model can accurately quantify circulating tumour DNA from the density distribution of cell-free DNA-fragment lengths in plasma from patients with cancer and from healthy individuals.

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.

Many phototransistors are multi-component systems with inorganic materials or involve faradaic processes that can be irreversible. Using a single photoactive polymer, Druet et al. report a reversible, water-compatible n-type photoelectrochemical transistor with potentiometric photodetection and current modulation.

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.

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.

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.

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.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

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.

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.

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.

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.

This multisite study detects a link between brain dynamic functional network connectivity and current and future post-traumatic stress symptom severity with a stronger effect in the female group.

Glucocorticoids are widely used as coadjuvants in the treatment of solid tumours. Here, Chen et al. show that genes regulated by dexamethasone- but not Compound A-liganded glucocorticoid receptor are associated with therapy resistance and unfavourable clinical outcomes in triple-negative breast cancer.

Cancer-associated fibroblasts (CAFs) are the main component of the stroma in pancreatic cancer, but their tissue of origin remains to be defined. Here the authors perform lineage tracing and single cell RNA sequencing in mice and suggest the splanchnic mesenchyme as the tissue of origin for CAFs.

Achieving atomic control during the synthesis of heterogeneous catalysts remains challenging. Here the authors tackle this challenge by applying a liquid-phase atomic layer deposition approach to the synthesis of Cu/ZrO_x clusters on MgO as efficient catalysts for CO₂ hydrogenation to methanol.

Crop rotation helps preventing pathogen infestations compared to monocultures, which may be partly due to root-associated microbes. Here, the authors show that rhizosphere microbiomes in monocultures are less able to suppress fungal pathogens compared to crop rotations, and that inoculating certain microbes can mitigate it.

Wei Zheng and colleagues report the results of a large-scale genome-wide association study of colorectal cancer in East Asians. They identify six new susceptibility loci, including variants near TCF7L2 and TGFB1.

Usnic acid is a lichen secondary metabolite and has a antitumor activity. Here the authors show that usnic acid rapidly blocks large ribosomal subunit formation. This hinders pre-rRNA processing and leads to depletion of key maturation factors such as Dbp10.

Chromosome-level genome reference sequence assemblies of the model and biofactory Nicotiana benthamiana line, and a wild relative, have been generated and annotated for gene models, tissue-specific transcriptomes, microRNAs and epigenetic landscapes.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.