Search

When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

Analyses of snRNA genes in a French cohort of people with rare disorders, with validation through international collaboration, identify monoallelic and biallelic variants in RNU2-2 as frequent causes of neurodevelopmental disorders with epilepsy.

This large meta-analysis of 11 GWAS identified 7 genetic loci associated with strabismus, esotropia and exotropia. Mendelian randomisation provided genetic evidence of the causal link between maternal smoking to increased strabismus risk in offspring.

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.

Kaiser et al. characterize the disordered extracellular N-terminus of a peptide-activated G protein-coupled receptor. They combine biophysical, biochemical, and computational methods to uncover its role in the activation of G protein and arrestin pathways.

A meta-analysis of genome-wide association studies across different populations highlights new risk loci and provides a genetic risk score that can stratify prostate cancer risk across ancestries.

The study presents a recyclable polymer system that stores solar energy and releases it as hydrogen on demand, offering an efficient and sustainable route for renewable energy storage and fuel generation.

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

The affected cellular populations during Alzheimer’s disease progression remain understudied. Here the authors use a cohort of 84 donors, quantitative neuropathology and multimodal datasets from the BRAIN Initiative. Their pseudoprogression analysis revealed two disease phases.

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.

The social exposome—lifelong social and economic adversity—can shape brain health and dementia risk. Here, the authors show that an adverse social exposome is linked to poorer clinical, cognitive, and brain changes in Latin American older adults.

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.

In a large single-arm phase 2 trial, the anti-PD-1 inhibitor tislelizumab combined with the next-generation BTK inhibitor zanubrutinib had an overall response rate of 58.3% and was well tolerated in patients with Richter’s transformation.

The poor bench stability of phosphoramidites is a drawback for fast automised chemical oligonucleotide synthesis. Here, the authors report a method for on-demand flow synthesis of phosphoramidites within short reaction times, in near-quantitative yields and sufficient purity for integration with DNA synthesizers.

JWST’s COSMOS-Web survey is used to create an ultra-high-detail dark matter map, revealing hidden filaments, clusters and distant structures. By tracing features out to z = 2, this map shows how dark and luminous matter build the cosmic web across cosmic time.

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.

Estimates from the Global Dietary Database indicated that 2.2 million new type 2 diabetes and 1.2 million new cardiovascular disease cases were attributable to sugar-sweetened beverages worldwide in 2020, with the highest burdens in sub-Saharan Africa, Latin America and the Caribbean.

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.

A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent risk loci. Comparisons with other psychiatric disorders and candidate gene analyses provide new insights into major depressive disorder.

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.

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.

Multivariate genome-wide association analyses of the latent genetic architecture of frailty identify one general factor of genetic overlap across all frailty deficits and six factors indexing a shared genetic signal across specific groups of deficits.

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.

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.

Genome-wide analyses identify common variants associated with 11 distinct neuropathology endophenotypes, providing insights into the mechanisms underlying the genetic risk of Alzheimer’s disease and related dementias.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

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.

Caspase 8 protein expression is largely absent in small cell lung cancer (SCLC) patients. Here, the authors generate a caspase 8 deletion SCLC mouse model and show that it promotes a neuronal progenitor-like cell state and pre-tumoral immunosuppression triggered by necroptosis that promotes metastasis.

In a mouse model, maternal obesity during pregnancy can lead to fatty liver disease in the offspring, driven by aberrant developmental programming of Kuppfer cells.

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.

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.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Understanding the dynamics of bound and free charges and local electric fields on a nanometre scale are important in scanning tunnelling microscopy and nanoscale electronics. Here, the authors present a model system—a metallic tip near a gallium arsenide surface—for studying such electrostatic interactions.

The authors introduce a new spectroscopic technique for studying Higgs modes in superconductors and apply it to a cuprate superconductor. The method involves a soft quench of the Mexican-Hat potential, populating Higgs modes of different symmetries, which are then probed by non equilibrium anti-Stokes Raman scattering.

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.

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.

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.

The authors identify a small molecule inhibitor targeting the ssDNA-binding function of T. brucei Replication Protein A1 without affecting the host ortholog. They confirm the key residue in TbRPA1 involved in the species-specific selectivity of the chemical probe.

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.

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.

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.

Recent estimates of sugar-sweetened beverages (SSBs) intake are generally unavailable. Here the authors show a global SSBs intake of 2.7 servings/week in 2018 in adults (range: 0.7 South Asia, 7.8 Latin America/Caribbean); intakes were higher among males, younger, more educated, and urban adults.

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.