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Here the authors compare genetic testing strategies in rare movement disorders, improve diagnostic yield with genome analysis, and establish CD99L2 as an X-linked spastic ataxia gene, showing that CD99L2–CAPN1 signaling disruption likely drives neurodegeneration.

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.

This study of magic-angle twisted trilayer graphene moiré superconductors using scanning tunnelling microscopy and spectroscopy identifies two energy gaps that develop from many-body resonance in this highly tunable class of materials.

Decarbonizing road transport is critical, but the costs and emissions of low-carbon vehicles in Africa remain uncertain. The authors show that battery electric vehicles with solar off-grid systems can cost effectively reduce life-cycle emissions well before 2040.

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.

While most quantum optical techniques reveal either the wave or particle nature of light, weak-field homodyne detection combines wave- and particle-like descriptions. Here, Donati et al.employ this hybrid detection scheme to study the coherence between photon number states across two-mode entangled states.

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.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Space debris laser ranging is a technique to measure distances to defunct satellites or rocket bodies in orbits around Earth which was only possible within a few hours around twilight. Here, the authors show the first space debris laser ranging results during daylight while correcting inaccurate predictions using a real-time target detection software.

Understanding biodiversity loss and achieving global commitments requires effective biodiversity monitoring. This Roadmap outlines the necessary steps to achieve a transnational European Biodiversity Observation Network built around Essential Biodiversity Variables, combining targeted sensing methods, spatial design, data sharing, data integration and modelling workflows, and coordinated governance to deliver policy-ready insights.

Saur and colleagues perform a high-throughput combinatorial drug screen and identify a synergistic combination between nintedanib and trametinib that sensitizes mesenchymal PDAC to immune checkpoint blockade.

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.

Familial adenomatous polyposis (FAP) is an inherited gastrointestinal syndrome associated with duodenal adenoma formation. Here the authors show that IL17A-producing NKp44- group 3 innate lymphoid cells accumulate in FAP duodenal tissue and are associated with duodenal adenoma formation in patients with FAP.

Exome sequencing within a structured diagnostic process for rare diseases in Germany shows how facial image analysis and machine learning can guide variant prioritization and uncover many ultrarare diseases.

A combination of spectroscopy, metagenomics, and synthetic biology enables the characterization of the antiviral divamides, a class of lanthipeptide natural products in which even minor changes in structure lead to different biological activities.

Metabolic strategies of cave microorganisms are poorly studied. Here, the authors show that cave microbes use atmospheric trace gases hydrogen, carbon monoxide and methane as energy and carbon sources, sustaining primary production and revealing how life can thrive in oligotrophic and dark ecosystems.

The transcription factor ATF6 causes an enrichment in long-chain fatty acids in the colonic epithelium, which leads to changes in the gut microbiota and contributes to the development of colorectal cancer in humans and mice, thereby linking endoplasmic reticulum stress responses to lipid metabolism and tumorigenesis.

A multi-ancestry genome-wide association study for age at menarche followed by fine mapping and downstream analysis implicates 665 pubertal timing genes, such as the G-protein-coupled receptor 83 (GPR83) and other genes expressed in the ovaries involved in the DNA damage response.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Genome-wide association analysis in over one million individuals of European ancestry identifies 2,103 independent genetic signals (including 113 new loci) associated with blood pressure traits.

Rare mutations in the high requirement temperature protein A1 (HTRA1) cause cerebral vasculopathy. Here, authors establish mechanistically distinct protein repair approaches to reverse the deleterious effects of pathogenic mutations interfering with the assembly and protease function of HTRA1.

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

Association analyses in over 1 million individuals identify 535 new loci influencing blood pressure traits. The results provide new insights into blood pressure regulation and highlight shared genetic architecture between blood pressure and lifestyle exposures.

Pycytominer is a user-friendly, open-source Python package that carries out key bioinformatics steps in image-based profiling.

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.

In Gram-positive bacteria, arginine phosphorylation by the McsB kinase functions as a general post-translational marker for Clp-mediated proteolysis.

High-coverage and low-coverage genomic data for some of the earliest modern humans in Europe provide insights into recent admixture with Neanderthals and familial relationship links with distant communities approximately 45,000 years ago.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.