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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.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

Autism spectrum disorder (ASD) is characterized by heterogeneous phenotypes. Disruption of the gut–brain axis (GBA) has been implicated in ASD although with limited reproducibility across studies. In this study, the authors propose a framework to leverage multi-omic datasets and investigate how the GBA influences ASD.

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.

The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

Down syndrome (DS) increases gene dosage that disrupts neurodevelopment and cognition. Using human-derived isogenic neurons, this study reveals altered network activity, synaptic dysfunction, and ion channel defects underlying DS neural impairment.

Synthetic data generated by generative artificial intelligence models can serve as a substitute for real patient data. In this Review, Eckardt et al. discuss how synthetic data sets can overcome barriers to data access and sharing, democratize scientific discovery in cancer research, and reduce the costs and failure rates of cancer clinical trials. They also discuss how this will only become possible if we can overcome the challenges of a lack of standardization in training data selection, model evaluation, bias mitigation, privacy preservation and quality assurance.

A comparison of the repertoire of SARS-CoV-2-specific epitopes targeted by T cells induced by vaccination or natural infection reveals that T cells predominantly target non-spike epitopes in convalescent individuals, while there is a broader spike-specific CD8⁺ T-cell response in vaccinees. Despite differences in T-cell response, the targeted T-cell epitopes were conserved between the wild-type and Omicron variants in both groups.

Lasing with multi-pass gain is achieved in a diamond-based X-ray cavity at the European XFEL, opening a path to next-generation X-ray science.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

The [1,2]-Wittig rearrangement of allylic ethers is traditionally considered to proceed via formation and recombination of radical pairs. Now it has been shown that an alternative reaction cascade, involving initial enantioselective [2,3]-rearrangement followed by base-promoted anionic fragmentation–recombination that proceeds with high enantiospecificity, allows a catalytic enantioselective [1,2]-Wittig process.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

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.

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.

Here, the authors perform a large GWAS for objectively quantified skin color in an East Asian population (N = 48,433), identifying potential causal genes, polygenic adaptations, and interaction between genetic variants and sun-exposure at polygenic level.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

The protein UCP1 helps to release energy as heat in brown fat. Structures of human UCP1 provide crucial information about its mechanism of action, and might aid drug design for obesity and various metabolism-associated complications.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

Nitrogen fixation by nitrogenase requires a metallocofactor built by a dedicated multiprotein machinery. Here, the authors captured structural snapshots of a precursor entering a key maturase, revealing a dynamic process involving extensive structural rearrangements and partial protein unfolding.

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.

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.

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

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

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 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.

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 a quantum simulation of a (2+1)D lattice gauge theory using a superconducting quantum processor, the dynamics of strings reveal the transition from deconfined to confined excitations as the effective electric field is increased.

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 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.

Using magnetic tweezers, Choi et al. revealed the asymmetric folding pathway of GLUT3, a human glucose transporter, suggesting the active effect of cells in helping glucose transporters overcome folding challenges when forming channels for sugar molecules.

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.

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.

Colour code on a superconducting qubit quantum processor is demonstrated, reporting above-breakeven performance and logical error scaling with increased code size by a factor of 1.56 moving from distance-3 to distance-5 code.

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.

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.

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.

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.

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.