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The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

Mangrove ecosystems are facing severe climate threats. However, this study shows that strategically expanding protected areas to include the most climate-resilient sites can safeguard biodiversity and ecosystem services for the future, and this can be achieved with only a modest increase in protected area.

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.

This paper uses multiomics to profile a large cohort of meningioma samples to highlight the role of the tumor microenvironment in driving the epigenetic changes underpinning tumor classification and prediction of outcome.

Mitochondrial DNA heteroplasmy associates with context-specific nuclear CpG methylation, supported by a cell model. Heteroplasmy–CpG scores relate to mortality and cardiovascular risk, though direction and mechanisms remain unclear.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Human genetic loci that associate with composition of the oral microbiome are identified using saliva-derived DNA, where the same host genetics also shapes oral health and genetic variation in oral bacteria.

Authors report drug repurposing screens against O-GlcNAc cycling enzymes, finding kinase inhibitors that act as splicing modulators to disrupt O-GlcNAc homeostasis and downregulate OGT and OGA. These findings reveal splicing modulator chemotypes and approaches to disrupt O-GlcNAc homeostasis.

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.

The MOUNTAINEER phase 2 trial demonstrated the efficacy and safety of tucatinib (HER2-targeted TKI) and trastuzumab (anti-HER2 antibody) in patients with HER2 + , RAS wildtype unresectable or metastatic colorectal cancer that had progressed on chemotherapy, resulting in the approval of the regimen. Here, the authors report the updated analysis of the MOUNTAINEER trial.

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.

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.

Here the authors show in a case-control study with more than 800 children that HIV indirectly affects early post-discharge growth in children recovering from severe malnutrition by impacting baseline anthropometry and altering proteins key to bone mineralisation, growth signalling, and humoral immune response.

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.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Wastewater-based surveillance tends to focus on specific pathogens. Here, the authors mapped the wastewater virome from 62 cities worldwide to identify over 2,500 viruses, revealing city-specific virome fingerprints and showing that wastewater metagenomics enables early detection of emerging viruses.

Multi-ancestry genome-wide and transcriptome-wide association studies of aortic stenosis identify more than 200 independent risk loci and provide insights into its genetic architecture.

Tree longevity is thought to increase in harsh environments, but global evidence of drivers is lacking. Here, the authors find two different pathways for tree longevity: slow growth in resource limited environments and increasing tree stature and/or slow growth in competitive environments.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

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.

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.

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.

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

Surgical sterilization alone cannot control global stray and feral domestic cat populations. Here, Godin et al. show that a single-dose injectable female sterilant administered before puberty safely and completely prevents pregnancy after maturity.

Currently comprehensive spatiotemporal profiling of Parkinson’s disease remains sparse. Here, authors show that Parkinson’s disease disrupts brain lipids in distinct regions, leading to energy loss in cells and offering new clues for understanding disease progression.

Although DDX41 genetic variation occurs in myelodysplastic syndrome and acute myeloid leukemia, the pathogenic mechanisms remained unclear. Here, the authors found DDX41 regulates CLK3-dependent alternative splicing to establish transcript ensembles, while pathogenic variants limit the activity.

Jang and colleagues demonstrate that GDF3 reshapes the chromatin landscape of inflammatory adipose tissue macrophages and drives endotoxic inflammation with age. Pharmacological inhibition of the GDF3–SMAD2/3 axis alleviates endotoxemia lethality in old mice.

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.

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.

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.

VRACs are ubiquitously expressed osmosensitive ion channels assembled from LRRC8A-E subunits. Here, the authors determine the structures of a LRRC8A:D VRAC using cryo-EM and identified that these channels are gated by lipids inside the channel pore.

The early genetic evolution of uveal melanoma (UM) remains poorly understood. Here, the authors perform genetic profiling of 1140 primary UMs, including 131 small early-stage tumours, finding that most genetic driver aberrations have occurred by the time small tumours are biopsied; in addition, the15-gene expression profile discriminant score can predict the transition from low- to high-risk tumours.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

Water-vapor interfaces have been studied with many techniques, yet open questions persist about their electronic and molecular structure. Here, the authors demonstrate the application of soft x-ray second harmonic generation to study the water surface by leveraging attosecond pulses at the LCLS and a flat liquid sheet microjet, providing insights on the H-bond structure.

Hepatocyte organoids derived directly from human tissue enable long-term hepatocyte expansion and can be combined with portal mesenchyme and cholangiocyte organoids to form a donor-specific periportal liver assembloid system.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Large-scale genome-wide analyses identify hundreds of genetic loci associated with hypothyroidism and thyroid hormone levels, demonstrating the potential of using polygenic risk scores to predict disease onset and progression.

The authors analyzed the whole-exome sequences of over 16,000 individuals and found that very rare variants predicted to disrupt the SETD1A gene confer substantial risk for schizophrenia. Damaging variants in SETD1A were also associated with diverse, severe developmental disorders, providing an important genetic link between schizophrenia and other neurodevelopmental disorders.

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.

The number of individuals in a given space influences animal interactions and network dynamics. Here the authors identify general rules underlying density dependence in animal networks and reveal some fundamental differences between spatial and social dynamics.