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

Metabolite signatures were identified for subtypes of dietary carbohydrate, including added sugar, whole grain and refined grain, and showed different associations with type 2 diabetes, providing an objective measure of dietary risk.

Rice paddies contribute to atmospheric methane (CH₄) levels. Here the authors show that increasing levels of the rice plant hormone PSY can reduce CH₄ emissions by over 50% via alteration of microbial H₂ cycling in the rhizosphere.

“This randomized controlled trial in adults with central obesity found that high-intensity interval training, performed once or thrice weekly, reduced body fat mass compared with control, highlighting the benefits of “weekend warrior” interventions.”

The synthesis of unprotected C-heteroaryl glycosides is challenging because of the lack of methods to utilize native saccharides as substrates. Now these compounds, capped as redox-active glycosyl sulfide donors, undergo C–C coupling with N-heteroarenes through a photoinduced, thiyl radical-mediated reaction with control over the chemo-, site- and stereoselectivity.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

The majority of incident HIV infections in Eastern and Southern Africa occur in the general population. Here, the authors harmonise data from eight open population-based cohort studies from six countries and describe individual and community-level risk factors for HIV acquisition.

Chan and colleagues report that tumor ecosystem and microbiome features are associated with response to anti-PD-L1 avelumab plus chemoradiotherapy in patients with locally advanced head and neck cancer.

Projected impacts of climate change on malaria burden in Africa by 2050 highlight the urgent need for climate-resilient malaria control strategies and robust emergency response systems to safeguard progress towards malaria eradication.

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.

McGrail and colleagues report that high intratumoral bacteria abundance is associated with an immunosuppressive microenvironment and resistance to immune checkpoint blockade in head and neck squamous cell carcinoma.

In an arm of an ongoing multicenter phase 2 trial testing different therapies in patients with genetically profiled grade 2 or 3 meningiomas, treatment with an oral CDK4/6 inhibitor met the primary endpoint for progression-free survival at 6 months in patients with CDK or NF2 alterations.

Risk associated with genetically defined forms of autism spectrum disorder (ASD) can propagate by means of transcriptional regulation to affect convergently dysregulated pathways, providing insight into the convergent impact of ASD genetic risk on human neurodevelopment.

Integrated single-cell and spatial data analysis, combined with bidirectional CRISPR screens, identify the transcription factor GLIS3 as a key driver of chronic inflammation and fibrosis and a potential marker of disease severity in patients with ulcerative colitis.

Analysis of a placebo-controlled trial of a BCMA-targeting CAR-T cell therapy in patients with myasthenia gravis shows that CAR-T cell infusion selectively remodels the systemic immune environment, with elimination of BCMA-high plasma cells and activated plasmacytoid dendritic cells and changes in the autoreactive B cell repertoire.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Somatic instability plays a role in Huntington’s disease. Here, the authors show that lowering HTT levels by transcriptional repression suppresses somatic instability. This can also be done without affecting HTT levels by direct CAG repeat binding.

RUVBL1 and RUVBL2 are AAA+ ATPases that are involved in transcriptional regulation. Here, the authors discover that RUVBL1/2 regulation of KLF5 modulates both classical and basal-like transcriptional lineage programs in pancreatic cancer.

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.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

The 4D Nucleome Project demonstrates the use of genomic assays and computational methods to measure genome folding and then predict genomic structure from DNA sequence, facilitating the discovery of potential effects of genetic variants, including variants associated with disease, on genome structure and function.

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.

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.

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.

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.

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 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.

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.

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.

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.

Long COVID has heterogeneous presentation and clinical trajectories are not well defined. Here, the authors define trajectories using data from a prospective cohort study in the United States involving symptom questionnaires from acute infection up to 15 months.

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.

Adaptive optical vision Fourier transformer (AOViFT) is a machine learning-based framework for accurately inferring aberrations and restoring diffraction-limited performance in diverse biological specimens.

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

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.

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.

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.

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.

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 advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

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.

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.

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.

Despite often being poorly immunogenic, some subsets of patients with hormone receptor-positive, HER2-negative (HR + /HER2-) breast cancer benefit from immunotherapy. Here, the authors present a randomised pilot clinical trial comparing a neoadjuvant run-in of either nab-paclitaxel or pembrolizumab (anti-PD-1) monotherapy, followed by the combination, in patients with stage II-III HR + /HER2- breast cancer.