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PubMed2026

Optimizing sparse and skew hashing: faster k-mer dictionaries.

MOTIVATION: Representing a set of k-mers-strings of length k-in small space under fast lookup queries is a fundamental requirement for several applications in Bioinformatics. A data structure based on sparse and skew hashing (SSHash) was recently proposed for this purpose (Pibiri 2022): it combines good space effectiveness with fast lookup and streaming queries. It is also order-preserving, i.e. consecutive k-mers (sharing a prefix-suffix overlap of length k-1) are assigned consecutive hash codes which helps compressing satellite data typically associated with k-mers, like abundances and color sets in colored De Bruijn graphs. RESULTS: We study the problem of accelerating queries under the sparse and skew hashing indexing paradigm, without compromising its space effectiveness. We propose a refined data structure with less complex lookups and fewer cache misses. We give a simpler and faster algorithm for streaming lookup queries. The refined architecture translates to substantial performance gains, outperforming the original version of SSHash in both index construction speed and query efficiency. Compared to indexes with similar capabilities and based on the Burrows-Wheeler transform, like SBWT and FMSI, SSHash is significantly faster to build and query. SSHash is competitive in space with the fast (and default) modality of SBWT when both k-mer strands are indexed. While larger than FMSI, it is also more than one order of magnitude faster to query. AVAILABILITY AND IMPLEMENTATION: The SSHash software is available at https://github.com/jermp/sshash, and also distributed via Bioconda. A benchmark of data structures for k-mer sets is available at https://github.com/jermp/kmer_sets_benchmark. The datasets used in this article are described and available at https://zenodo.org/records/17582116.

Algorithms↗
PubMed2026

VirBinn improves viral genome binning from metagenomic Hi-C through graph diffusion.

MOTIVATION: Metagenomic Hi-C provides in situ proximity signals that can improve genome binning and enable virus-host-association analysis. However, viral genome recovery remains difficult because virus-virus Hi-C contact matrices are extremely sparse. Viral genomes are small, often low-abundance, and frequently assemble into short contigs, leaving many true within-genome links unobserved and causing viral bins to fragment. RESULTS: We present VirBinn, a graph-diffusion framework for viral binning from metagenomic Hi-C. VirBinn enhances virus-virus connectivity through two complementary mechanisms: random-walk-with-restart enhancement on the sparse virus-virus contact graph and host-guided diffusion that propagates viral seeds through the host network to infer indirect virus-virus associations. The enhanced views are integrated and clustered using Leiden community detection to produce viral metagenome-assembled genomes (vMAGs). On dataset-specific simulation benchmarks with ground truth, VirBinn consistently recovers more high-quality vMAGs than Hi-C-based and shotgun-based baselines and substantially increases the number of near-complete genomes. On four real metagenomic Hi-C datasets spanning human gut, pig gut, sheep gut (long-read assembly), and wastewater, VirBinn yields more high-completeness vMAGs under CheckV and produces bins with strong within-cluster contact support. Finally, host linkage analysis using reconstructed host MAGs reveals habitat-specific host-association patterns and plausible host taxonomic profiles. AVAILABILITY AND IMPLEMENTATION: VirBinn is available at https://github.com/dyxstat/VirBinn. The scripts to reproduce the results and figures in this article are available at https://github.com/dyxstat/Reproduce_VirBinn.

Genome, Viral↗
PubMed2026

Mining Stored-Specimen Studies for Information about Cancer Natural History.

The advent of new multicancer early detection tests and publication of early diagnostic results have generated expectations of clinical benefit from multicancer screening. The clinical benefit of a cancer screening test depends critically on disease natural history, which is typically learned from prospective screening studies. Retrospective studies of stored blood specimens are important in learning about a test's preclinical diagnostic performance but have rarely been used to infer natural history. The extent to which these studies might be harnessed to also learn natural history is discussed in the context of an article in this issue that infers the combined natural history of a range of cancers targeted by a multicancer early detection test using a case-control subsample of specimens from a large cohort study. The critical question concerns the identifiability of key transition rates in multistate models of natural history alongside state-specific sensitivities. The article suggests that these parameters are estimable within a Bayesian framework that leverages prior information about test sensitivity from diagnostic studies. We offer a heuristic discussion of identifiability in this setting and encourage formal study to determine the extent to which models with varying degrees of complexity may be learned from stored-specimen studies. See related article by Dai et al., p. 1535.

Humans↗
PubMed2026

On the Road to ROME: Defining Tissue-Liquid Concordance in Precision Oncology.

A growing body of evidence has established liquid biopsy as a promising, noninvasive platform for genomic profiling. In this commentary, we build on findings from the multicenter, randomized phase II ROME trial and interrogate the challenges and opportunities of tissue-liquid profiling concordance in improving personalized cancer treatment and survival outcomes. See related article by Botticelli et al., p. 45.

Humans↗
PubMed2026

Multi-Ancestry Genome-Wide Association with Fine-Mapping Identifies Novel Loci for Pigment Dispersion Syndrome and Pigmentary Glaucoma.

PURPOSE: Pigment dispersion syndrome and pigmentary glaucoma are important causes of ocular hypertension and glaucomatous optic neuropathy, yet their genetic determinants remain incompletely defined, particularly across diverse ancestries. This study aimed to use a large multi-ancestry cohort from the All of Us Research Program to investigate the genetic basis of pigment dispersion syndrome and pigmentary glaucoma. DESIGN: Case-control study. PARTICIPANTS: In total, 572 cases and 37 808 controls with array genotyping and 537 cases and 35 493 controls with whole-genome sequencing. METHODS: Using electronic health record phenotyping in the All of Us Research Program, we performed multi-ancestry genome-wide association analyses using both array-based data and whole-genome sequencing-based data, comparing patients with pigment dispersion syndrome or pigmentary glaucoma to those without either condition. We also performed Firth penalized regression and Fisher analyses, and we performed principal component analyses to assess effect sizes across genetic ancestries. We applied statistical fine-mapping, examined for cross-trait overlap, and assessed expression quantitative trait locus associations for lead variants. MAIN OUTCOME MEASURES: P values and odds ratios of lead loci from genome-wide association analyses; size of credible sets determined from fine-mapping; allele frequency of lead variants in cases, controls, and the general population; expression quantitative trait loci effect size and P values linking lead variants to gene expression. RESULTS: We identified 4 loci reaching genome-wide significance across analyses, including signals near EPHA7 (which mediates cell-cell signaling), within TYR (involved in melanin synthesis and replicated from prior studies), within LINC01138, and near OTX2. Statistical fine-mapping refined 3 of these loci to single-variant 95% credible sets and narrowed the TYR locus to small credible sets, prioritizing possible causal variants. Effect estimates were broadly consistent across genetic ancestry clusters. Lead variants showed regulatory evidence in expression quantitative trait locus, including reduced EPHA7 expression. CONCLUSIONS: These findings implicate both melanogenesis and cell-cell adhesion and signaling pathways in pigment dispersion syndrome and pigmentary glaucoma. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Genome-wide association study↗
PubMed2026

When expertise became just another opinion : Rebuilding trust through a transparent infrastructure for verified scientific knowledge.

Scientific knowledge is advancing faster than ever, yet its authority is increasingly detached from the way information circulates in public debates. This article proposes a transparent, professionally curated repository of validated scientific and educational materials as shared infrastructure for science communication. [Figure: see text]

Journal Article↗
PubMed2026

Polyamine Metabolism as a Metabolic Vulnerability in Prostate Cancer Treated with Supraphysiological Androgens.

Prostate cancer progression is predominantly driven by androgen receptor (AR) signaling, and despite initial benefits of androgen deprivation therapy (ADT), most patients eventually develop lethal castration-resistant disease. Cyclic administration of supraphysiologic androgen (SPA) with ADT paradoxically suppresses tumor growth; however, responses are heterogeneous, and the mechanisms underlying the antitumor effects of SPA remain incompletely understood. In this issue of Cancer Research, Kumar and colleagues demonstrate that SPA induces a distinct metabolic response, characterized by AR-dependent induction of polyamine biosynthesis via ODC1 and AMD1. This metabolic rewiring elevates polyamine synthesis while concurrently depleting the methyl donor S-adenosylmethionine (SAM). Although increased polyamine metabolism by SPA may promote adaptive resistance, genetic or pharmacologic inhibition of ODC1 using difluoromethylornithine (DFMO) enhances SPA-induced growth suppression by disrupting protective polyamine pools and further exacerbating SAM depletion, revealing a metabolic vulnerability in SPA-treated prostate cancer cells. Supporting these findings, a clinical trial combining DFMO with bipolar androgen therapy (BAT) demonstrated reduced circulating polyamines in patients, confirming polyamine pathway suppression in patients with different genomic features. Together, this study uncovers a mechanistic link among androgen signaling, polyamine metabolism, and therapeutic response, providing a rationale for targeting metabolic dependencies to improve SPA efficacy. See related article by Kumar et al., p. 1148.

Male↗
PubMed2026

Temporal evolution of minimally invasive pediatric urolithiasis treatment over 30 years.

Urolithiasis in children has increased substantially over the past 30 years, and surgical management maintains an important role in treatment. Technological advances such as lasers and miniaturization have broadened treatment options, and researchers investigate the best indications for each procedure. The aim was to identify publication trends in the field and explore reasons why Extracorporeal Shockwave Lithotripsy is being gradually less applied in the treatment of pediatric urolithiasis. A Reverse Systematic Review of the literature was conducted regarding the surgical treatment of urolithiasis in children. Five databases were screened, gathering all articles from inception that were evaluated in systematic reviews. We examined 123 publications, 197 reports, and 15,878 procedures, consisting of the largest studied population in the field. There was an increasing number of publications, although in progressively less prestigious journals. The number of studies on miniaturized percutaneous techniques and flexible ureteroscopy has increased closely with the rise in popularity of these procedures worldwide, mainly driven by studies from Asia, Europe, and North America. A trend of self-renewed interest is fueled by technological innovation and has led to fewer publications on Extracorporeal Shockwave Lithotripsy over the years. This review highlights the fact that, despite positive results in recent studies, the low popularity of ESWL within the scientific community is driving a decline in the technique's indications. Moreover, based on the findings of this study, key research priorities include continued reporting of high-quality outcomes, and technological progress in ESWL would contribute meaningfully to the field.

Humans↗
PubMed2026

Amplification-Free Nanopore Sequencing for Herpesvirus DNA Detection in Intraocular Fluids.

PURPOSE: To evaluate the feasibility of amplification-free nanopore sequencing for detecting herpesvirus DNA in intraocular fluid using multiplex polymerase chain reaction (mPCR)-characterized herpesvirus-positive and herpesvirus-negative samples. DESIGN: Retrospective, single-center, cross-sectional study. PARTICIPANTS: This study included 42 patients with uveitis whose intraocular fluid samples were examined by mPCR, including 20 mPCR-positive samples (all positive for herpesviruses) and 22 mPCR-negative samples. METHODS INTERVENTION OR TESTING: DNA extracted from intraocular fluid samples underwent ligation-based library preparation without whole-genome amplification and was sequenced on the MinION platform with Flongle flow cells for untargeted analysis. Nanopore sequencing results were compared with mPCR findings, and associations between nanopore-derived virus-specific read counts and corresponding herpesvirus DNA copy numbers measured by mPCR were assessed. MAIN OUTCOME MEASURES: Primary outcome measure was concordance between nanopore sequencing and mPCR in herpesvirus species identification. Secondary outcome measures included nanopore sequencing detection rates stratified according to mPCR-measured herpesvirus DNA copy numbers and correlations between nanopore sequencing-derived virus-specific read counts and mPCR-measured herpesvirus DNA copy numbers. RESULTS: Among 20 mPCR-positive intraocular fluid samples, nanopore sequencing identified viral DNA from the same herpesvirus species detected by mPCR in 15 (75.0%), indicating species-level concordance. None of the 22 mPCR-negative samples contained virus-specific reads. Among the 22 herpesvirus targets identified in the 20 mPCR-positive samples, herpesvirus DNA copy numbers measured by mPCR were significantly higher in nanopore-positive than in nanopore-negative targets (P = 0.015). Nanopore detection rates increased with increasing herpesvirus DNA copy numbers measured by mPCR: 3 of 6 targets (50.0%) with <105 copies/mL, 2 of 4 (50.0%) with 105-106 copies/mL, and 12 of 12 (100%) with >106 copies/mL (P = 0.021). Nanopore sequencing-derived virus-specific read counts correlated positively with herpesvirus DNA copy numbers measured by mPCR (r = 0.76, P = 0.0004). CONCLUSIONS: Amplification-free nanopore sequencing demonstrated the feasibility of detecting herpesvirus DNA in intraocular fluid samples, with detection performance dependent on herpesvirus DNA load. This simplified workflow may provide complementary information regarding viral DNA burden in minute ocular samples. FINANCIAL DISCLOSURES: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Herpesvirus↗
PubMed2026

MHASS: Microbiome HiFi Amplicon Sequencing Simulator.

SUMMARY: Microbiome HiFi Amplicon Sequence Simulator (MHASS) creates realistic synthetic PacBio HiFi amplicon sequencing datasets for microbiome studies, by integrating genome-aware abundance modeling, realistic dual-barcoding strategies, and empirically derived pass-number distributions from actual sequencing runs. MHASS generates datasets tailored for rigorous benchmarking and validation of long-read microbiome analysis workflows, including ASV clustering and taxonomic assignment. AVAILABILITY AND IMPLEMENTATION: Implemented in Python with automated dependency management, the source code for MHASS is freely available at https://github.com/rhowardstone/MHASS along with installation instructions. Our code is also published on Zenodo at https://doi.org/10.5281/zenodo.17486364. The data underlying this article are available on GitHub at https://github.com/rhowardstone/MHASS_evaluation/.

Software↗
PubMed2025

Implementing Mutational Epidemiology on a Global Scale: Lessons from Mutographs.

The Mutographs Cancer Grand Challenge team aimed to discover unknown causes of cancer through mutational epidemiology, an alliance of cancer epidemiology and somatic genomics. By generating whole-genome sequences from thousands of cancers and normal tissues from more than 30 countries on five continents, it discovered unsuspected mutagenic exposures affecting millions of people, raised the possibility that some carcinogens act by altering forces of selection in tissue microenvironments rather than by mutagenesis, and demonstrated changes to the direction of somatic evolution in normal cells of the human body in response to exogenous exposures and noncancer diseases. See related article by Bressan et al., p. 16 See related article by Bhattacharjee et al., p. 28 See related article by Goodwin et al., p. 34.

Humans↗
PubMed2026

A practical guide to studying genome function using single-molecule genomics.

Single-molecule genomics (SMG) has transformed our ability to study the mechanisms that regulate the genome by enabling profiling of the activity of regulatory factors on individual DNA molecules genome-wide. SMG is able to quantify molecular heterogeneity and the co-occurrence of regulatory events, including epigenetic modifications, transcription factor binding and chromatin organization on single DNA molecules. SMG reveals dynamics of chromatin interactions that cannot be measured by conventional genomics assays. Therefore, SMG offers a unique platform to study how regulatory events combine to control genome activity. In this Expert Recommendation article, we provide a practical guide for adopting SMG and outline best practices.

Journal Article↗
PubMed2026

Reversing-or Rewiring-Lineage Plasticity? Lessons from EZH2 Loss in Prostate Cancer.

Enhancer of zeste homolog 2 (EZH2) inhibitors have been proposed to counteract lineage plasticity (LP) in prostate cancer and thereby resensitize tumors to androgen receptor (AR) inhibition. In this issue of Cancer Research, Jacobi and colleagues provide new mechanistic insights into EZH2 biology across prostate cancer progression using a genetically engineered mouse model that recapitulates the transition toward a neuroendocrine (NE) phenotype. Unexpectedly, genetic deletion of Ezh2 did not reverse LP but instead promoted the diversification of transcription factor (TF) programs driving NE differentiation. In particular, the loss of EZH2 activated members of the KLF TF family, which contributed to this transcriptional diversification. Moreover, EZH2 deletion altered the chromatin-binding landscape of AR, redirecting it toward KLF-associated genomic sites. Collectively, these results refine our understanding of EZH2 function in prostate cancer: Rather than simply reversing LP, EZH2 loss rewires transcriptional networks and reshapes the AR cistrome. These findings are timely given the growing number of clinical trials testing EZH2 inhibitors in metastatic prostate cancer and highlight the need to define when and how to deploy EZH2 inhibition to exploit its effects on tumor lineage dynamics. See related article by Jacobi et al., p. 889.

Male↗
PubMed2026

Assessing the influence of different alignment tools on the accuracy of a forensic epigenetic clock.

MOTIVATION: DNA methylation (DNAm) has long been a commonly investigated biomarker in biomedical research. The current gold standard for DNAm detection is bisulfite sequencing which requires dedicated alignment tools that can handle reduced sequence complexity. One commonly used application of DNAm are epigenetic clock measurements. These clocks have been adapted by many fields for their specific needs, including forensic genetics. Here, epigenetic clocks were designed to help estimate the chronological age of a biological stain donor for investigative purposes. RESULTS: In this study, data generated with a well-established forensic epigenetic clock is aligned with four different bisulfite-specific alignment tools: "Bwa-meth," "Abismal," "Bismark," and "BS-Seeker2." For each tool, we tested up to six different settings, altering parameters such as the maximum number of mismatches or the score function setting. The goal was to investigate whether the final predicted ages differed considerably between the tested alignment tools and settings. Quality controls such as read depth, precision, recall, F1 score, and alignment run time were also assessed. To allow other researchers to easily perform such methylation comparison analyses on their own data, a Shiny app called "MethylAge Explorer" was developed within this study. None of the tested settings for the three alignment tools "Abismal," "Bismark," and "BS-Seeker2" outperformed the originally used alignment tool "Bwa-meth" in terms of age prediction accuracy. However, differences in final age predictions were observed between the different alignment tools. Therefore, it is necessary to be aware of which alignment tool to use for particular epigenetic clocks. AVAILABILITY AND IMPLEMENTATION: The data underlying this article and the code for the shiny app are available on GitHub (https://github.com/charlsut/methylage_explorer).

DNA Methylation↗
PubMed2026

Genetic Diversity and Pathogenicity of Thielaviopsis paradoxa Isolates and Implications for Coconut Palm Disease Management.

Thielaviopsis paradoxa is an important soilborne pathogen causing bleeding disease and stem rot of coconut and other palm species, posing a serious threat to coconut production in Hainan Province, China. This study investigated the biological characteristics, pathogenic variability, and genetic diversity of T. paradoxa isolates collected from coconut palms in this region, where population-level data remain limited. Isolates exhibited variability in mycelial growth and sporulation under different temperature, pH, and nutrient conditions, indicating physiological differentiation among strains. Pathogenicity assays across multiple coconut varieties revealed four pathogenicity types, with some isolates consistently showing greater aggressiveness. Genetic analysis based on ISSR markers revealed a high level of genetic diversity (82.96% polymorphism). Genetic clustering showed partial associations with geographic origin, host source, and pathogenicity patterns; however, these relationships are correlative and do not imply causality. Overall, this study provides the first region-specific synthesis of physiological traits, pathogenic variability, and ISSR-based genetic diversity of T. paradoxa in Hainan, contributing baseline information for future population genomic studies and supporting the development of improved disease management strategies for coconut palms.[Formula: see text] Copyright &#xa9; 2026 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

China↗
PubMed2025

The Effect of Alcohol Intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data.

Although substance use, such as alcohol intake, is known to be associated with cognitive decline during aging, its direct influence on the central nervous system remains incompletely understood. In this study, we investigate the influence of alcohol intake frequency on reduction of brain white matter microstructural integrity in the fornix, a brain region considered a promising marker of age-related microstructural degeneration, using a large UK Biobank (UKB) cohort with extensive phenomic data reflecting a comprehensive lifestyle profile. Two major challenges arise: (a) potentially nonlinear confounding effects from phenomic variables and (b) a limited proportion of participants with complete phenomic data. To address these challenges, we develop a novel ensemble learning framework tailored for robust causal inference and introduce a data integration step to incorporate information from UKB participants with incomplete phenomic data, improving estimation efficiency. Our analysis reveals that daily alcohol intake may significantly reduce fractional anisotropy, a neuroimaging-derived measure of white matter structural integrity, in the fornix and increase systolic and diastolic blood pressure levels. Moreover, extensive numerical studies demonstrate the superiority of our method over competing approaches in terms of estimation bias, while outcome regression-based estimators may be preferred when minimizing mean squared error is prioritized. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.

Brain aging↗
PubMed2025

HTSinfer: inferring metadata from bulk Illumina RNA-Seq libraries.

SUMMARY: The Sequencing Read Archive is one of the largest and fastest-growing repositories of sequencing data, containing tens of petabytes of sequenced reads. Its data is used by a wide scientific community, often beyond the primary study that generated them. Such analyses rely on accurate metadata concerning the type of experiment and library, as well as the organism from which the sequenced reads were derived. These metadata are typically entered manually by contributors in an error-prone process, and are frequently incomplete. In addition, easy-to-use computational tools that verify the consistency and completeness of metadata describing the libraries to facilitate data reuse, are largely unavailable. Here, we introduce HTSinfer, a Python-based tool to infer metadata directly and solely from bulk RNA-sequencing data generated on Illumina platforms. HTSinfer leverages genome sequence information and diagnostic genes to rapidly and accurately infer the library source and library type, as well as the relative read orientation, 3' adapter sequence and read length statistics. HTSinfer is written in a modular manner, published under a permissible free and open-source license and encourages contributions by the community, enabling easy addition of new functionalities, e.g. for the inference of additional metrics, or the support of different experiment types or sequencing platforms. AVAILABILITY AND IMPLEMENTATION: HTSinfer is released under the Apache License 2.0. Latest code is available via GitHub at https://github.com/zavolanlab/htsinfer, while releases are published on Bioconda. A snapshot of the HTSinfer version described in this article was deposited at Zenodo at 10.5281/zenodo.13985958.

Metadata↗