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Developing strategies for reducing carbon emissions in municipal solid waste management is essential to achieve the net-zero target. Here the authors systematically assess strategy options of different countries for achieving net-zero municipal solid waste management.

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.

A large brain imaging study of over 2000 people worldwide shows that fear conditioning engages brain regions linked to emotion and attention, with differences in individuals with anxiety or depression and strong influences from task design.

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

Primary angle-closure glaucoma is a leading cause of blindness. Here, the authors identify rare deleterious variants in UBOX5 as risk factors and implicate BIP ubiquitination as a potential disease mechanism.

Tree cover gains in the moist tropics (1982–2015) were 56% naturally regenerated forests and 27% managed tree systems, with forest type influencing carbon recovery. Effective forest restoration requires robust tracking of forest types established by restoration efforts.

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

Dysregulated protein degradation drives diseases like cancer. Here, authors use protein language models to design target-binding peptides, which are subsequently attached to the catalytic domain of the OTUB1 deubiquitinase, generating “deubiquibodies” (duAbs). duAbs restore tumor suppressors and fusion oncoproteins, offering a programmable strategy for protein stabilization.

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.

The location of EGFR exon 20 loop insertions (EGFRex20ins) has been shown to alter sensitivity to lung cancer therapy. Here, the authors report the results of the ZENITH20 clinical trial investigating poziotinib (EGFR TKI) in lung cancer patients and, combining with a similar trial, investigate how structural differences due to location of EGGFRex20ins alters sensitivity to EGFR TKI.

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.

In this study, Wrigth et al. use structural, medicinal chemistry, and behavioral approaches to examine how equilibrative nucleoside transporter subtype 1 (ENT1) exerts its functions; and their findings reveal ENT1 as a potential target for analgesia.

PepMLM designs peptide binders against diverse targets using masked language modeling.

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.

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.

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.

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.

Epigenetic alternations in trabecular meshwork induced by dexamethasone are associated with hypomethylation of the thombospondin-1 promoter region and dysregulation of the fluid flow of aqueous humor and intraocular pressure.

Trained and validated on multimodal data from 14.5 million images from multicountry datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients.

Antimicrobial resistance has evolved over decades due to widespread antimicrobial use, with resistance genes now circulating across humans, animals and the environment, creating complex cross-sector connectivity challenges. This Perspective advocates for genomics-based studies of AMR connectivity to enable coordinated global action and investment under the One Health framework.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 deep understanding of the genetic signatures of neovascular age-related macular degeneration subtypes in Asian patients remains a significant gap. Here the authors pinpoint contributing common and rare variants using GWAS and exome sequencing approaches.

Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

Together with an accompanying paper presenting a transcriptomic atlas of the mouse lemur, interrogation of the atlas provides a rich body of data to support the use of the organism as a model for primate biology and health.

Analysis of over 18,000 vessels shows that the CO₂ emissions from shipping in East Asia accounted for 16% of global shipping emissions in 2013 (compared to 4–7% in 2002–2005), and account for 14,500–37,500 premature deaths per year.

Combined use of multiple siRNAs promises a new path for drug development. Here, the authors demonstrate a multiplexed combinatorial screening of thousands of siRNA formulations through highthroughput single-cell gene silencing, discovering the most effective anti-cancer siRNA cocktail therapeutics.

DeepRETStroke is a deep learning system using retinal photographs to detect silent brain infarction and predict future stroke events.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Structural variations (SV) contribute to inter-individual variability. Here, the authors describe a first-generation multi-ancestry Asian SV catalogue containing 73,035 SVs from 8392 Singaporeans to provide insights into Asian SV diversity.

A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with positive effects on cognition.

In the primary report of a phase 1b trial, adeno-associated virus gene therapy with fordadistrogene movaparvovec in patients with Duchenne muscular dystrophy was well tolerated in an ambulatory cohort, and mini-dystrophin expression was increased in the high-dose cohort.

Lu et al. created a human ocular outflow on-chip, composed of 3D Schlemm’s canal endothelium surrounded by trabecular meshwork and draining interstitial fluid, revealing ALK5/VEGFC signaling as a therapeutic target for steroid-induced glaucoma.