Back

npj Genomic Medicine

18 training papers 2019-06-25 – 2026-03-07

Top medRxiv preprints most likely to be published in this journal, ranked by match strength.

1
Targeted Long-Read sequencing provides functional validation of variants predicted to alter splicing
2026-03-06 neurology 10.64898/2026.03.02.26346984
Top 0.6% (1.8%)
Show abstract

Background Whole-genome sequencing (WGS) has improved the diagnosis of rare genetic disorders, yet interpretation of non-coding variants that affect splicing remains challenging. In silico predictions alone are insufficient, and short-read RNA sequencing may fail to capture complex or low-abundance splicing events. Targeted amplicon-based long-read RNA sequencing (Amp-LRS) offers a cost-effective approach for functional validation of candidate splice-altering variants. Methods We applied Amp-LRS...

2
Too rare to be random: genetic finding suggests previously unrecognized path of mutagenesis
2026-03-04 genetic and genomic medicine 10.64898/2026.03.03.26346966
Top 2% (1.3%)
Show abstract

We report a previously undescribed genotypic configuration identified in twins with HNRNPU-related neurodevelopmental disorder. Both twins have two closely spaced mosaic variants on the same allele that never co-occur on any single DNA molecule, resulting in three distinct cell lineages within each individual. We define this genotypic configuration as clustered monoallelic mosaicism (cMoMa). Recognizing the extreme improbability of such a configuration, we systematically explore two potential me...

3
FA-NIVA: A Nextflow framework for automated analysis of Nanopore based long-read sequencing data for genetic analysis in Fanconi anemia
2026-03-04 genetic and genomic medicine 10.64898/2026.02.27.26346867
Top 2% (1.3%)
Show abstract

MotivationFanconi anemia (FA) is a rare disease mainly caused by biallelic pathogenic variants, including structural variants such as large deletions and insertions in FA genes. Currently, variant detection is based on short-read sequencing and probe-based approaches. However, determining the exact genomic breakpoint or achieving allelic discrimination remains challenging. Nanopore-based long-read sequencing enables a comprehensive detection of FA variants, but a unified bioinformatic analysis p...

4
Gene Portals: A Framework for Integrating Clinical, Functional, and Structural Evidence into Rare Disease Variant Classification
2026-03-06 genetic and genomic medicine 10.64898/2026.03.05.26347086
Top 2% (1.2%)
Show abstract

Rare Mendelian disorders affect 300-400 million people globally. Although genetic testing has become widely adopted, gene-specific evidence for tailored variant interpretation remains scattered across resources. We present Gene Portals, a framework for gene-centered multimodal knowledge bases that co-localize expert-harmonized clinical data, functional assays, population variation, structural annotations and gene-specific ACMG/AMP specifications within a single resource. A modular interface inte...

5
Association of the FTO rs9939609 variant with glycemic control
2026-03-05 genetic and genomic medicine 10.64898/2026.03.05.26347689
Top 3% (0.9%)
Show abstract

Type 2 diabetes (T2D) affects 11.1% of the global population, underscoring the need for biomarkers that inform treatment response and glycemic outcomes. We evaluated the association between the FTO variant rs9939609-A and glycemic control in a Mexican population. A total of 174 individuals living with T2D from Merida and Sisal, Yucatan, were included, of whom 85% were receiving oral hypoglycemic agents as main treatment. Glycemic control was defined cross-sectionally as good ([≤]130 mg/dL, n=...

6
Integrative screening identifies functional variants and VNTRs underlying GWAS signals at the 5p15.33 multi-cancer susceptibility locus
2026-03-04 genetic and genomic medicine 10.64898/2026.03.03.26347427
Top 4% (0.9%)
Show abstract

Chromosome 5p15.33 harbors several independent association signals which demonstrate antagonistic pleiotropy across cancer types, with causal mechanisms largely unresolved. To identify functional variants and enhancer elements at this locus, we performed statistical fine-mapping followed by massively parallel reporter assays (MPRA) and proliferation based CRISPRi screens. This approach identified eight multi-cancer functional variants (MCFVs) across three GWAS signals. Targeting rs421629 (part o...

7
Cancer genomic profiling predicts pathogenicity of BRCA1 and BRCA2 variants
2026-03-06 genetic and genomic medicine 10.64898/2026.03.05.26347746
Top 4% (0.9%)
Show abstract

Accurate classification of BRCA1 and BRCA2 variants is essential for cancer risk assessment and therapy selection, yet over one-third remain variants of uncertain significance (VUS). Here, using 120,660 real-world cancer genomic profiles with BRCA1 or BRCA2 variants from a >800,000-sample cohort, we develop machine learning models that predict pathogenicity using clinical and tumor-derived features, including a pan-cancer homologous recombination deficiency signature, co-mutated genes, zygosity,...

8
Molecular characterisation of a Klebsiella pneumoniae neonatal sepsis outbreak in a rural Gambian hospital: a retrospective genomic epidemiology investigation
2026-03-04 genetic and genomic medicine 10.64898/2026.03.03.26347025
Top 5% (0.9%)
Show abstract

BackgroundKlebsiella pneumoniae is a common cause of neonatal sepsis in Africa, and is frequently hospital acquired. We recently reported an outbreak of multidrug-resistant K. pneumoniae sepsis amongst neonates at a rural hospital in The Gambia, West Africa, involving 57 cases and case fatality of 60%. Here we undertook a retrospective pathogen genomic epidemiology study of clinical and environmental K. pneumoniae isolated during the outbreak, to identify the outbreak strain, refine the epidemic...

9
Pan-cancer tumour classification and risk stratification from whole-genome somatic variants via dual-task representation learning
2026-03-04 genetic and genomic medicine 10.64898/2026.03.02.26347318
Top 5% (0.7%)
Show abstract

Tumour typing from whole-genome sequencing is increasingly accurate, yet molecular subtyping from somatic variants remains challenging because of tumour heterogeneity and inconsistent clinical annotations. Here, we present Mutation-Attention Dual-Task (MuAt2), a Transformer model that jointly classifies histological tumour types and subtypes directly from somatic single-nucleotide variants, indels and structural variants. MuAt2 leverages encoders pre-trained on 2,587 pan-cancer whole genomes, an...

10
Genetic liability to hip osteoarthritis confers neurovascular protection against Alzheimer's disease despite depression-mediated phenotypic comorbidity
2026-03-04 genetic and genomic medicine 10.64898/2026.03.04.26347509
Top 5% (0.7%)
Show abstract

BackgroundThe relationship between hip osteoarthritis (hip OA) and Alzheimers disease (AD) presents a critical paradox within the emerging "bone-brain axis": widespread phenotypic comorbidity sharply contradicts evolutionary theories of biological antagonism. This study integrates longitudinal and multi-omic analyses to determine whether this clinical overlap masks an underlying genetic neuroprotection. MethodsWe analyzed longitudinal phenotypic data from 261,767 UK Biobank participants using C...

11
Prediction of incident coronary artery disease in individuals with zero coronary artery calcium using a novel multi-ancestry, label-free polygenic risk score framework
2026-03-04 genetic and genomic medicine 10.64898/2026.03.02.26347474
Top 7% (0.5%)
Show abstract

BackgroundA coronary artery calcium (CAC) score of 0 is widely considered to indicate low short- to intermediate-term risk for coronary artery disease (CAD) and is frequently used to defer lipid-lowering therapy. However, a subset of individuals with CAC=0 still experience events, highlighting residual risk not captured by imaging alone. Polygenic risk scores (PRS) quantify lifelong inherited susceptibility, but conventional approaches rely on predefined ancestry labels despite human genetic div...

12
BEGA-UNet: Boundary-Explicit Guided Attention U-Net with Multi-Scale Feature Aggregation for Colonoscopic Polyp Segmentation
2026-03-05 gastroenterology 10.64898/2026.03.04.26347608
Top 7% (0.3%)
Show abstract

Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, yet the generalization of deep learning models under domain shift remains insufficiently explored. We propose Boundary-Explicit Guided Attention U-Net (BEGA-UNet), a boundary-aware segmentation architecture that introduces explicit edge modeling as a structural inductive bias to enhance both segmentation accuracy and cross-domain robustness. The framework integrates three components: an Edge-Guided ...

13
HIPK4 is a novel gene associated with teratozoospermia and male infertility
2026-03-04 sexual and reproductive health 10.64898/2026.03.04.26346694
Top 7% (0.3%)
Show abstract

STUDY QUESTIONAre pathogenic variants in Homeodomain-interacting protein kinase (HIPK4) associated with sperm head abnormalities causing male infertility? SUMMARY ANSWERHIPK4 is a novel candidate gene associated with sperm head defects and human male infertility. WHAT IS KNOWN ALREADYNumerous genes causing male infertility due to Multiple Morphological Abnormalities of the sperm flagella (MMAF) have been described but the genetic basis of sperm head defects is less well understood. STUDY DESI...

14
Improving the detection of clinically significant steatotic liver disease using a machine learning algorithm in a real-world primary care population
2026-03-05 gastroenterology 10.64898/2026.03.04.26347631
Top 7% (0.1%)
Show abstract

Background and aimsPopulation screening for liver disease in high-risk groups is recommended. Community diagnosis of liver disease is a challenge due to the asymptomatic nature of disease until very advanced stages. Moreover, regional variation in testing availability can result in people with clinically significant liver disease being missed. Machine learning (ML) has been proposed as a method to reduce diagnostic error and automate screening. We present a novel machine learning derived algorit...

15
Performance of an Optimized Methylation-Protein Multi-Cancer Early Detection (MCED) Test Classifier
2026-03-04 oncology 10.64898/2026.03.03.26347329
Top 8% (0.1%)
Show abstract

Multi-cancer early detection (MCED) tests can detect several cancer types and stages. We previously developed a methylation and protein (MP V1) MCED classifier. In this study, we present a refined MP V2 classifier, developed by evaluating model architectures that improved performance in prospectively enrolled case-control cohorts under standard testing conditions. The newly developed MP V2 classifier was trained to be more generalizable and achieve increased early-stage sensitivity at a target s...

16
NIR autofluorescence allows for pituitary gland detection during surgery: the first evidence from microscopic studies and in vivo measurements
Top 9% (0.1%)
Show abstract

A critical challenge in endocrine neurosurgery is intraoperative discrimination between normal pituitary tissue and pituitary neuroendocrine tumors (PitNETs). Suggesting the universal persistence of near-infrared autofluorescence (NIRAF) in endocrine organs and inspired by routine clinical use of NIRAF for parathyroid gland identification, we discovered that pituitary NIRAF can be employed for label-free transsphenoidal surgery guidance. Ex vivo confocal spectral imaging of 33 specimens identifi...

17
Early Detection of CAR-T-Associated Neurotoxicity via Cytokine Monitoring in Serum
2026-03-04 oncology 10.64898/2026.03.03.26347491
Top 9% (0.1%)
Show abstract

Immune effector cell-associated neurotoxicity syndrome (ICANS) is a common and life-threatening complication of chimeric antigen receptor (CAR) T-cell therapy, with early detection being critical for timely intervention and improved outcomes. Cytokines such as interleukin-6 (IL-6) are key mediators of the inflammatory cascade underlying ICANS pathogenesis, but prospective clinical evidence for their predictive value is limited. Here we quantify IL-6 levels in a prospective cohort of 40 CAR-T pat...

18
Stability of Microbiome-Derived Fatty Acids in Self-Collected Samples: A Comparative Evaluation of Stool and Blood Matrices
2026-03-06 gastroenterology 10.64898/2026.03.05.26347712
Top 9% (0.1%)
Show abstract

Background Short-chain fatty acids (SCFAs) are widely used as functional readouts of gut microbial activity in vivo. The growing adoption of decentralised study designs and self-collection protocols has amplified the need for reliable room-temperature storage and shipment strategies. However, SCFAs volatility and the persistence of post-collection microbial metabolism raise concerns regarding pre-analytical stability and the interpretability of measured concentrations. Methods We assessed the te...

19
OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language Models
2026-03-06 oncology 10.64898/2026.03.05.26347717
Top 9% (0.1%)
Show abstract

Introduction: Manual data extraction from unstructured clinical notes is labor-intensive and impractical for large-scale clinical and research operations. Existing automated approaches typically require large language models, dedicated computational infrastructure, and/or task-specific fine-tuning that depends on curated data. The objective of this study is to enable accurate extraction with smaller locally deployed models using a disease-site specific pipeline and prompt configuration that are ...

20
Potassium-competitive acid channel blockers versus Proton-Pump inhibitors in the prevention of post-endoscopic peptic ulcer rebleeding: A systematic review and meta-analysis
2026-03-06 gastroenterology 10.64898/2026.03.02.26346403
Top 10% (0.1%)
Show abstract

Introduction Vonoprazan, a new oral potassium-competitive acid blocker (PCAB), has shown promise in terms of superior acid suppression when compared to Proton pump inhibitors (PPIs). We evaluated the efficacy of PCABs versus PPIs in preventing rebleeding in high-risk peptic ulcer patients after endoscopic hemostasis. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines, we conducted a comprehensive search for relevant studies across Medline...