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High-resolution satellite data enables a unique verification of national methane emissions worldwide. Global estimates are 63 Tg a⁻¹ for oil-gas, 30% higher than the UNFCCC reports due to under-reporting by four largest emitters, and 33 Tg a⁻¹ for coal, consistent with previous estimates.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

In the CheckMate 142 study, nivolumab (anti-PD-1) alone and in combination with ipilimumab (anti-CTLA-4) was shown to induce durable clinical benefit in patients with previously treated microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer. Here, the authors perform exploratory biomarker analysis of the CheckMate 142 study.

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.

A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

Genomic deletions in poxviruses are not well understood, the authors found large deletions in >2% of Mpox virus genomes during routine surveillance, highlighting their role in poxvirus evolution and potential impact on diagnostics and therapeutics.

The neuronal architecture that develops after spinal cord injury and causes autonomic dysreflexia is uncovered.

Mutual paracrine regulation of the cytokines GREM1 and SPP1 mediate mesenchymal and epithelial cell fate in pancreatic cancer.

Communication between room-temperature and cryogenic environments is a bottleneck to the scaling of cryogenic devices. Here, the authors introduce a technique for in situ writing and erasing of circuits at low temperatures, enabling reversible construction of patterns without a photoresist.

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.

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.

The authors report a meta-analysis of methylome-wide association studies, identifying 15 significant CpG sites linked to major depression, revealing associations with inflammatory markers and suggesting potential causal relationships through Mendelian randomization analysis.

This study explores the genomic and transcriptomic landscapes of triple-negative breast cancer in African American women. The authors show that the mutational profile is broadly similar to that observed in European and East Asian ancestry women while highlighting some interesting differences.

As presented at the 2025 World Conference on Lung Cancer, in a multiarm phase 2 trial, perioperative immunotherapy was safe and feasible in patients with resectable diffuse pleural mesothelioma, with exploratory data suggesting that ctDNA kinetics could be informative of tumor regression and post-treatment survival.

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.

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.

Spatial cell distribution within a tissue microenvironment is a rapidly advancing field. Here, authors assess three commercially available single-cell resolution spatial transcriptomics approaches (CosMx, MERFISH, and Xenium) to inform which technology outperforms for immune profiling of solid tumors using patient samples.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

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 show that KDM2A regulates cell cycle progression, modulation of H3K36me2 and H3K27me3 chromatin states and gene repression which are critical for survival of differentiating spermatogonia. KDM2A regulates progression through meiosis as well.

Breast cancer cells interact with neighbouring adipocytes, but the mechanisms are not fully understood. Here, the authors show that triple-negative breast cancer (TNBC) cells transfer cAMP through gap junctions, activating lipolysis in tumour-associated adipocytes to promote TNBC growth.

Acquired miR-142 deficit in leukemic stem cells has been associated with chronic myeloid leukemia blast crisis. Here the authors show that acquired miR-142 deficit in T cells further enables leukemic stem cells to escape immune surveillance and supports disease growth.

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.

To date, experimental induction of hair cell regeneration in mammals leads to immature and poorly differentiated hair cells. Here the authors show that the transcription factor prdm1a plays a crucial role in specifying sensory hair cell types with loss of prdm1a in zebrafish leading to misspecification of hair cells in the sensory lateral line system into ear hair cells.

Using sequencing and haplotype-resolved assembly of 65 diverse human genomes, complex regions including the major histocompatibility complex and centromeres are analysed.

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.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

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.

The approval of first line immune checkpoint blockade (ICB) has improved outcomes for patients with metastatic non-small cell lung cancer (mNSCLC), however, whether patients would benefit more from ICB alone or alongside chemotherapy is unclear. Here, the authors develop a machine-learning based approach to help guide individual treatment selection patients with mNSCLC.

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.

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.

Brown et al. show that mouse islet progenitors with different transcriptomes produce distinct β-cell subtypes and maternal diet alter the subtype proportions. Similar β-cell subsets exist in humans, with a subset enriched in genes related to β cell function reduced in diabetes.

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.

The human brain cycles through a repertoire of brain networks on a 1-second timescale during rest and tasks. This cycling appears to allow periodic engagement of essential cognitive functions, with the speed of cycling linked to genetics and age.

In this Review, Nicholas Chew and colleagues use epidemiological data on the cardiovascular–liver–metabolic disease syndemic to illustrate current and future projections on the burden of these diseases and their risk factors, and propose a unified framework for integrating and implementing effective multisystem interventions to tackle key components of this syndemic.

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.

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.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

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.

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.

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.

To better understand the etiology of frailty, the authors perform a large genetic study. They identified 45 additional variants and implicated MET, CHST9, ILRUN, APOE, CGREF1 and PPP6C as potential causal genes, linking frailty to immune regulation, metabolism and cellular signaling.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.