Search

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.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

A cavity-array microscope is realized using intra-cavity lenses to create a two-dimensional array of over 40 modes, each coupled to a single atom in free-space.

This study demonstrates that the extracellular matrix (ECM) of the developing brain stabilizes recently born synapses. The authors identify a microglial metalloprotease that digests the ECM to increase the plasticity of these newborn synapses.

Wei et al. perform spatial transcriptomic profiling on synovial tissue biopsy samples from individuals with recent-onset rheumatoid arthritis, finding TGFβ signaling and fibrogenic fibroblast activation drive a treatment-refractory tissue phenotype.

Kinematic measurements of the Perseus galaxy cluster reveal two drivers of gas motions: a small-scale driver in the inner core associated with black-hole feedback and a large-scale driver in the outer core powered by mergers.

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.

Expanded FMR1 CGG repeats drive toxic FMRpolyG in premutation disorders. Here, the authors show that IGF2BP3 binds the FMR1 5’UTR to promote non-AUG translation of FMRpolyG and that its loss reduces toxicity.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

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).

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.

Krisai et al. compare brain structure and cognitive function in elderly patients with and without atrial fibrillation using brain MRI and cognitive testing. They find that atrial fibrillation is associated with more brain lesions and lower cognitive function, but the cognitive impairment occurs primarily through direct effects of the arrhythmia rather than through brain damage.

Argonaute proteins degrade specific invader nucleic acids in eukaryotic and prokaryotic innate immunity. Here, Kanevskaya et al. describe a bacterial immune system in which RNA-guided recognition of invader DNA by Argonaute triggers formation of HNH nuclease filaments with collateral activity, protecting the bacterial population from invaders.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

A benchmarking competition improves tools that predict how regulatory regions control gene expression.

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.

Barnett et al. disentangle the differential contribution of mitochondrial complex I- and complex III-derived ROS to astrocytic function, with CIII-derived ROS being a major driver of neuroinflammatory responses.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Burden of major disease is projected to increase in England and many other countries. Here the authors model the impact of reducing eight known risk factors for disease burden, such as BMI and smoking, between 2023-2043 in England and report that reductions in risk factors may not substantially reduce the major illness burden by 2043 due to population ageing.

By analysing 91 Bronze Age genomes from East-Central Europe, the authors discovered that Middle Bronze Age populations were formed by an admixture event involving hunter-gatherers and that the social structure of resulting population was primarily patrilocal.

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.

Phaeocystales are ecologically significant nanoplankton whose evolutionary history and functional diversity remain incompletely characterized. Here, the authors integrate genomic and transcriptomic data to reveal their lineage diversification, metabolic plasticity, and adaptation to polar and temperate regimes.

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.

This flagship study from the European Solve-Rare Diseases Consortium presents a diagnostic framework including bioinformatic analysis of clinical, pedigree and genomic data coupled with expert panel review, leading to 500 new diagnoses in a cohort of 6,000 families with suspected rare diseases.

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.

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.

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.

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.

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 authors demonstrate a multicolor optical chip which processes images using light instead of electricity, making computers faster and more energy-efficient. It could power real-time vision in drones, cars, and smart devices with much less battery drain.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Early high-resolution images of two 2021 novae reveal eruptions unfolding in multiple stages with colliding outflows that produce shocks and gamma rays, reshaping our understanding of stellar explosions.

Here, authors present a Digital Twin framework for urban parking and mobility in Caserta. By integrating distributed sensor data with machine learning and generative AI, the system enables real-time monitoring, forecasting, and scenario simulation to support smarter urban management.

Here the authors provide a deep tissue analysis of patients with autoimmune kidney diseases, identifying a conserved spatiotemporal immune program for the development of glomerular crescents and sclerosis.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

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.

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.

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.

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.

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.