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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.

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.

Plasma p-tau217 tests used to develop clocks that predict when cognitively unimpaired individuals would develop symptoms of Alzheimerʼs disease.

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.

Targeting neurons that regulate energy balance may offer new approaches for obesity treatment. Here, authors show that chemogenetic and pharmacological manipulation of GABAergic neurons in the DRN/vlPAG increases adaptive thermogenesis and reduces weight gain in mice fed a highfat diet.

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 lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

Skill transfer depends on how tasks are structured, who is trained, and how they experience stress. This study demonstrates that individual differences in emotion-cognition traits and physiological responses shape divergent transfer trajectories.

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.

In the adrenal cortex, cholesterol used for steroid production is stored in lipid droplets. The authors demonstrate here the importance of the transcription factor HHEX in maintaining glucocorticoid levels and protecting lipid droplets from androgen-induced lipid depletion.

A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human evaluations over expert-written answers.

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.

Genetic variants of TREX1, a negative regulator of type I interferon responses, have been linked previously to non-monogenic systemic lupus erythematosus (SLE). Here the authors analyze UK Biobank multi-omics data to show that, while a derived oligoprotein interferon signature associates with increased SLE risk, TREX1 variants do not.

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.

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.

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.

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 group of microbiome researchers discuss some of the challenges in developing a new generation of microbiome therapies.

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.

Inventory data from more than 1 million trees across African, Amazonian and Southeast Asian tropical forests suggests that, despite their high diversity, just 1,053 species, representing a consistent ~2.2% of tropical tree species in each region, constitute half of Earth’s 800 billion tropical trees.

Application of computational techniques, such as machine learning, is rapidly growing in the field of imaging.

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.

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.

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.

WGS data were used from 347,630 individuals with European ancestry in the UK Biobank to obtain high-precision estimates of coding and non-coding rare variant heritability for 34 complex traits and diseases.

Much investment goes into improving police-community interactions, yet trust in police remains low. Here, the authors show that community members report feeling less threat and more trust when officers use transparency statements to start interactions.

The study finds coherent spin waves, generated by ultrafast laser pulses, drive antiferromagnetic domain walls (DWs) in Sr₂Cu₃O₄Cl₂ at a record  ~50 km/s. DW propagation direction is controllable via laser helicity and DW winding number, explained by in-plane magnon mode-induced dynamics unique to easy-plane anisotropy magnets.

cfDNA fragmentomics is a potential clinically applicable method for identifying cancer. Here, the authors assess fragmentomics analysis methods and their application to commercial targeted sequencing panels.

Gene therapies often fail to reach tissues beyond the liver after intravenous delivery. Here, authors present MARVEL, a strategy that combines red blood cell hitchhiking with VEGF-induced vascular permeabilization to enhance lung targeting and deep tissue gene expression.

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.

This study identifies an electrically anisotropic layer within the lithospheric mantle of the Superior Craton, interpreted as a network of preferentially oriented phlogopite-bearing domains emplaced as a result of Proterozoic geodynamic activity.

A large international panel of experts reach consensus on a new standard for reporting settings in psychedelic trials, identifying 30 key non-pharmacological factors to strengthen the rigor of psychedelic research.

The current expansion of oil palm in India is occurring at the expense of biodiversity-rich landscapes. This study shows that on the national scale India has the potential to become self-sufficient in palm oil production without compromising either its biodiversity or its food security, while economic, social, political and nutritional factors will require attention at finer spatial scales.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

Van der Waals heterostructures offer a platform for harnessing the spin-valley degree of freedom for information processing. Here, the authors transfer optically generated spin-valley polarization from one layer to another in a two-dimensional molybdenum diselenide–tungsten diselenide heterostructure.