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Nevin Manimala Statistics

Clinical, in vitro, and in vivo evidence of WAPL as a novel cohesinopathy gene and phenotypic driver of 10q22.3q23.2 genomic disorder

medRxiv [Preprint]. 2026 Feb 28:2026.02.23.26346364. doi: 10.64898/2026.02.23.26346364.

ABSTRACT

Cohesin is a fundamental genome-organizing complex that orchestrates three-dimensional chromosome folding and gene expression via DNA loop extrusion. Alterations to genes encoding cohesin subunits and cohesin loaders cause Mendelian disorders, including Cornelia de Lange syndrome (CdLS). By contrast, disruption of factors that remove cohesin from DNA, including WAPL and its binding partners PDS5A and PDS5B , have not yet been associated with human disease. Here, we explored the relevance of these cohesin release factors in Mendelian disease by establishing a rare disease cohort of deeply phenotyped individuals with heterozygous, predicted damaging variants in WAPL (n=27), PDS5A (n=8), and PDS5B (n=8), by modeling WAPL deficiency in human cell lines and mice, and by aggregating rare disease association statistics from consortia studies. We identified a WAPL -related disorder characterized by developmental delay, intellectual disability, and risk of other developmental anomalies including clubfoot. Similarities between individuals with damaging WAPL variants and those with large, recurrent 10q22.3q23.2 (10q) deletions (which encompass WAPL ) nominate WAPL as a driver gene within this genomic disorder region. While carriers of PDS5A or PDS5B variants exhibited features of developmental disorders, neither cohort-based statistics nor case phenotyping associated these genes with specific phenotypes. We used CRISPR engineering to generate truncating variants in WAPL , as well the 7.8 Mb 10q deletion or duplication in human iPSCs and induced neurons. Transcriptomic analyses identified differentially expressed genes in both models, with highly significant overlap between WAPL haploinsufficiency and 10q deletion signatures. Mice with 50% residual Wapl expression exhibited mild deficits of growth and learning/memory, whereas those with 25% residual Wapl expression displayed birth defects and postnatal lethality, revealing a dosage liability threshold below the level of heterozygosity. In summary, we delineated a novel genetic condition caused by cohesin release factor deficiency, nominated WAPL as a driver gene within a genomic disorder region, and further illuminated dosage sensitivity of human cohesin.

PMID:41810376 | PMC:PMC12970359 | DOI:10.64898/2026.02.23.26346364

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Nevin Manimala Statistics

Leveraging genome-wide effects on gene expression to identify disease-critical genes with trans -genetic components

medRxiv [Preprint]. 2026 Feb 25:2026.02.23.26346922. doi: 10.64898/2026.02.23.26346922.

ABSTRACT

Genome-wide association studies (GWAS) have implicated tens of thousands of genetic variants associated with complex traits and polygenic diseases. Colocalizing GWAS variants with variants that may regulate gene expression, via expression quantitative trait loci (eQTL) mapping, has successfully led to the identification of disease-critical genes and their cell types of action. Recent studies predominantly colocalize proximal cis -eQTLs, which are estimated to regulate ∼10% of variance in gene expression levels. However, trans -eQTLs have been hypothesized to account for an additional ∼20% of expression levels, although few studies have attempted to quantify the variance explained by empirically associated trans -eQTLs. Here, we introduce EGRET (Estimating Genome-wide Regulatory Effects on the Transcriptome), an ensemble framework that jointly models cis -eQTLs with three distinct trans -eQTL mapping approaches: standard pairwise association testing via Matrix eQTL, and two functionally-informed methods, trans-PCO and GBAT. In real data, EGRET produced 353,408 predictive gene expression models (cross-validation R 2 > 0, p < 0.01) across 49 GTEx tissues, including 12,317 gene-tissue pairs with a significantly nonzero trans -heritable component. For this set of genes, EGRET models explain 33% more gene expression variance than cis -eQTL models (EGRET average R 2 = 0.104, FUSION average R 2 = 0.078). We found that putative trans-regulating variants of EGRET models are enriched for regulatory elements such as enhancers, histone marks, and cis -eQTLs of other genes. We then hypothesized that EGRET models could nominate new disease-critical genes via a transcriptome-wide association study (TWAS) framework that models genome-wide regulatory effects on gene expression. In simulations of theoretically representative gene expression architectures (∼30% heritability, where more than 70% is distal), EGRET increased the power to detect disease-critical genes by 1.2x-3.1x compared to cis -eQTL models. In real data analysis, we identified disease-associated genes via TWAS across GWAS summary statistics for 78 complex traits and polygenic diseases using gene expression prediction models from EGRET, cis -eQTL FUSION, and two state-of-the-art trans -eQTL TWAS methods, MOSTWAS and BGW-TWAS. EGRET identified 450,825 gene-disease associations that were not identified by FUSION models, 2,900 associations not identified by MOSTWAS, and 5,498 associations not identified by BGW-TWAS. Finally, we used EGRET models to construct gene regulatory networks, some of which harbored genes that were jointly associated with complex traits. For example, the gene members of the network defined by ARHGEF3 , whose cis -regulatory variants help predict expression of 10 genes in trans , were concordantly associated with platelet count using EGRET but not FUSION models. Overall, we find that modeling the genome-wide genetic component of gene expression greatly boosts the detection of disease-critical genes and helps define gene regulatory networks while improving the characterization of GWAS variants.

PMID:41810371 | PMC:PMC12970377 | DOI:10.64898/2026.02.23.26346922

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Nevin Manimala Statistics

Statistical uncertainty explains the poor agreement in polygenic scoring for type 2 diabetes

medRxiv [Preprint]. 2026 Feb 27:2026.02.25.26347015. doi: 10.64898/2026.02.25.26347015.

ABSTRACT

Polygenic scores (PGS) have emerged as an important tool for genetic risk prediction in medicine to identify individuals at high-risk for disease. A major limitation in their implementation is the apparent disagreement among scores for the same individual decreasing their interpretability and utility in clinical settings. Here we show that the poor agreement across PGSes for type 2 diabetes (T2D) is fully explained by statistical uncertainty in PGS-based prediction; individual-level uncertainty estimates from a single PGS explain the variability across existing PGSes. We provide an approach for the selection of high-risk individuals that incorporates measures of uncertainty and show that individuals with high confidence based on their PGS uncertainty have higher risk agreement across existing PGS and are more likely to develop T2D than high-risk individuals based on only point estimates of PGS. Together, these findings shed light on the factors underlying a roadblock in PGS implementation and underscore the need to incorporate uncertainty in PGS-based predictions.

PMID:41810369 | PMC:PMC12970363 | DOI:10.64898/2026.02.25.26347015

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Nevin Manimala Statistics

Climate Extremes and Healthcare Access: Assessing the Impact of Severe Weather Events on Emergency Motorcycle Ambulance Availability

Risk Manag Healthc Policy. 2026 Mar 4;19:572604. doi: 10.2147/RMHP.S572604. eCollection 2026.

ABSTRACT

PURPOSE: Climate extremes are a catastrophic manifestation of climate change. Motorcycle ambulances are an emerging sort of vehicle that is intended to offer quick access in large cities. This study evaluated the effect of extreme weather events on the accessibility of emergency motorcycle ambulance services.

PATIENTS AND METHODS: We conducted a retrospective analysis of motorcycle ambulance operation data from January 2020 to December 2024. Data on motorcycle ambulance operating times, rainfall levels in the operational area, and ground temperatures at the Emergency medical services (EMS) unit were collected. Continuous data were presented as means and standard deviations (SD), while categorical data were reported as frequencies and percentages. Associations between categorical variables were evaluated using the chi-square test. A two-tailed p-value of less than 0.05 was considered statistically significant.

RESULTS: With a total of 569 operations documented over the five years, services were postponed during rainy weather and when ground temperatures exceeded 40°C. The availability of operational motorcycle ambulances declined from 81.28% to 34.03%. Increased rainfall (hours lost increased from 1065.1 to 2711.7; p<0.001) and rising temperatures exceeding 40°C (hours lost increased from 574.9 to 3067.3; p<0.001) were the main causes of service interruptions. This occurred despite increased utilization of motorcycle ambulances for emergency responses (65 to 165 operations annually; p=0.022) and a growing use of AED-equipped units for cardiac emergencies (4.6% to 23.6% of operations; p=0.014).

CONCLUSION: This quantitative evidence of the impact of climate extremes on emergency healthcare access due to reduced motorcycle ambulance availability. The gradual reduction in operational hours was caused by rising rainfall and elevated temperatures.

PMID:41810354 | PMC:PMC12968811 | DOI:10.2147/RMHP.S572604

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Nevin Manimala Statistics

Gene and cytokine expression profiles of metastatic colorectal cancer patients post reovirus administration

World J Clin Oncol. 2026 Feb 24;17(2):113428. doi: 10.5306/wjco.v17.i2.113428.

ABSTRACT

BACKGROUND: Colorectal cancer (CRC), encompassing both colon and rectal carcinogenesis, is a major health concern. Metastatic CRC (mCRC) is the third most common cancer and the second leading cause of cancer-related death in United States adults. Despite advances in therapy, the 5-year survival rate remains low at 15%. KRAS mutations contribute to treatment resistance by altering the tumor microenvironment, necessitating novel therapeutic approaches.

AIM: To evaluate immunomodulatory and cytotoxic potential of reovirus as an adjuvant therapy in KRAS-mutant-mCRC patients by analyzing gene and cytokine expression.

METHODS: Five KRAS-mutant mCRC patients were treated with reovirus. Serum samples were collected at five time points over 15 days. Cytokine levels were measured using enzyme-linked immunosorbent assay, and transcriptomic profiling was performed to assess gene expression. Data were analyzed using the 2-ΔΔCt method, and statistical significance was determined via two-tailed t-tests (P < 0.05).

RESULTS: Out of 271 genes associated with Janus kinase/signal transducer and activator of transcription, Ras, Wnt, and phosphoinositide 3-kinase- alpha serine/threonine-protein kinase pathways, 85 showed significant modulation. Additionally, 17 of 25 cytokines were significantly altered. Reovirus induced changes in both gene and cytokine expression, suggesting activation of a complex intracellular signaling network.

CONCLUSION: Reovirus demonstrates potential as an immunomodulatory and cytotoxic adjuvant in KRAS-mutant mCRC by altering key signaling pathways and cytokine profiles. These findings support further investigation into its potential therapeutic contributions.

PMID:41810348 | PMC:PMC12968548 | DOI:10.5306/wjco.v17.i2.113428

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Nevin Manimala Statistics

Palpable vs non-palpable breast cancers in screened populations: Clinicopathological features and prognostic implications

World J Clin Oncol. 2026 Feb 24;17(2):115245. doi: 10.5306/wjco.v17.i2.115245.

ABSTRACT

BACKGROUND: Despite widespread mammographic screening, a substantial proportion of breast cancers are still diagnosed as palpable lesions, frequently self-detected by the patient. Prior studies have investigated palpability as a prognostic factor, but few have incorporated contemporary staging systems or focused on clinically homogeneous, screening-eligible populations. In high-resource settings with equal access to screening, it remains unclear whether palpability reflects intrinsic tumor aggressiveness rather than delayed detection. This study evaluates whether palpable tumors exhibit distinct clinicopathological characteristics and worse outcomes in a screening-eligible population, hypothesizing that palpability may reflect aggressive tumor biology and potentially influence prognosis even when screening programs are accessible.

AIM: To compare clinicopathological features and survival outcomes of palpable vs non-palpable breast cancers in a screened population.

METHODS: We retrospectively analyzed 2110 women with clinically node-negative, localized breast cancer treated surgically between 2004 and 2024. Palpability at diagnosis was used to classify tumors as palpable (n = 1234) or non-palpable (n = 876). Endpoints included tumor size, grade, subtype, Ki-67 index, nodal status, overall survival, and breast cancer-specific survival. Statistical analyses included χ 2 and t-tests and Kaplan-Meier estimates, with significance set at P < 0.05.

RESULTS: Palpable tumors were significantly larger (17.5 mm ± 8.6 vs 11.0 ± 6.7 mm, P < 0.001), more often high-grade (G3: 33% vs 16.3%, P < 0.001), and more frequently of luminal B or triple-negative subtype (37.1% vs 20.6%, P < 0.001). Ki-67 proliferation index was markedly higher in palpable tumors (24.7% ± 11.9% vs 15.1% ± 9.4%, P < 0.001). Sentinel lymph node positivity was increased (27.6% vs 16.7%, P < 0.001). While 10-year overall survival was similar (92% palpable vs 95% non-palpable, P = 0.56), breast cancer-specific survival showed a trend toward worse survival in palpable cases (96% vs 99%, P = 0.1).

CONCLUSION: Palpable tumors display faster growth kinetics and aggressive features, potentially shortening the preclinical window. Palpability may indicate biologically aggressive disease, warranting individualized management despite access to routine screening.

PMID:41810341 | PMC:PMC12968550 | DOI:10.5306/wjco.v17.i2.115245

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Nevin Manimala Statistics

Management of venous thrombosis in sickle cell disease: a comparative study on the use of direct oral anticoagulants and warfarin

Res Pract Thromb Haemost. 2026 Feb 13;10(2):103397. doi: 10.1016/j.rpth.2026.103397. eCollection 2026 Feb.

ABSTRACT

BACKGROUND: Sickle cell disease (SCD) is associated with an increased risk of thrombosis and often leads to mortality.

OBJECTIVES: This study aimed to compare the clinical outcomes of direct oral anticoagulants (DOACs) with warfarin in the management of patients with SCD and first venous thrombosis.

METHODS: This retrospective study included adult patients aged ≥ 18 years with SCD who developed their first episode of venous thrombotic event. Recurrent thrombosis and bleeding were compared between patients treated with DOACs and warfarin. Data were analyzed using IBM Statistical Package for the Social Sciences version 21.

RESULTS: We included 99 patients, of whom 67 (67.7%) were treated with DOACs and 32 (32.3%) with warfarin. The median follow-up time was 44 (1-130) months. Pulmonary embolism was the most common type of thrombosis observed in 64 patients (64.6 %). Three patients developed recurrent venous thromboembolism within 6 months of the first episode, whereas 6 patients developed recurrent thrombosis after 1 year. No significant difference was noted among patients on either type of anticoagulation in terms of major bleeding episodes (OR = 1.1; 95% CI: 1.1-1.8; P: 1.00), recurrence of thrombosis (OR = 0.68; 95% CI: 0.03-11.2; P: .68), or mortality (OR = 0.46; 95% CI: 0.06-3.4; P: .59). Clinically relevant nonmajor bleeding was significantly lower in patients on DOACs than those on warfarin (OR = 0.06; 95% CI: 0.01-0.52; P: .01).

CONCLUSION: DOACs are associated with similar clinical outcomes and fewer bleeding complications as compared to warfarin in the management of patients with SCD and thrombosis. Randomized controlled trials are required to further confirm our findings.

PMID:41810336 | PMC:PMC12969728 | DOI:10.1016/j.rpth.2026.103397

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Nevin Manimala Statistics

Trends in Pit and Fissure Sealant Use and Decayed, Missing, and Filled Teeth Rates Among Korean Adolescents After Including Dental Sealants Under Insurance Coverage

J Public Health Dent. 2026 Mar 10. doi: 10.1111/jphd.70052. Online ahead of print.

ABSTRACT

OBJECTIVES: This study examined the effects of dental sealant insurance coverage on trends in pit and fissure sealant (PFS) use, decayed, missing, and filled teeth (DMFT) rates, and filled teeth (FT) rates among Korean adolescents, using data from the Korean Youth Risk Behavior Survey (2005-2024) and the Korean National Health and Nutrition Examination Survey (2007-2015).

METHODS: Data from participants aged 12-18 years were analyzed. The proportion of PFS use referred to the proportion of respondents who answered “yes” to the question “Have you received PFS in the past 12 months?” in the survey. DMFT and FT were classified based on oral examination criteria from 2007 to 2015. Statistical analyses were conducted using Joinpoint regression (version 4.8.0.1) and PROC SURVEYLOGISTIC in SAS 9.4 to estimate the annual percent change (APC), odds ratios, and 95% confidence intervals.

RESULTS: PFS use increased until 2018 (APC = +1.5%) and declined slightly thereafter until 2024, whereas DMFT and FT rates decreased from 2007 to 2015. Dental sealant insurance coverage was significantly associated with higher PFS use and lower DMFT and FT rates (p < 0.05).

CONCLUSIONS: Dental sealant insurance coverage effectively improved oral health and reduced dental caries among Korean adolescents.

PMID:41807286 | DOI:10.1111/jphd.70052

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Nevin Manimala Statistics

Trends and Patterns of Adverse Drug Reaction Reporting in Sierra Leone: A Retrospective Analysis of VigiFlow Data (2008-2022)

Pharmacoepidemiol Drug Saf. 2026 Mar;35(3):e70344. doi: 10.1002/pds.70344.

ABSTRACT

PURPOSE: Adverse drug reactions (ADRs) present significant obstacles for healthcare systems, impacting both patient safety and the effectiveness of treatments. Despite this, there is a scarcity of research on ADR reports in Sierra Leone, especially over long periods. This study aims to investigate the characteristics and reporting patterns found in the Sierra Leone pharmacovigilance database managed through VigiFlow.

METHOD: This study analyzes reports of ADRs from Sierra Leone’s national pharmacovigilance database, VigiFlow, spanning from January 2008 to December 2022. Data collected included patient demographics (age, sex), reporter characteristics (type of reporter, year of reporting), and ADR-specific information (suspected medication, indication, ADR types (MedDRA), seriousness, outcome, actions taken, and time to onset), and completeness score. Descriptive statistics, chi-square tests, and the Kruskal-Wallis test with Bonferroni-adjusted post hoc tests were applied to identify patterns and associations within the dataset.

RESULTS: A total of 3381 individual case safety reports (ICSRs) were analysed. The majority of reports involved females (54.7%) and adults aged 18 to 44 years (51.4%). Reporting rates increased after 2015, peaking in 2021. The most frequently implicated medications were anti-infective drugs (40.7%) and antiparasitic medicines (34.1%), particularly ivermectin, albendazole, and vaccines for cholera and yellow fever. The most commonly reported ADRs were headache (13.2%), fever (12.2%), and diarrhoea (7.6%), primarily affecting the nervous system and general disorder classes. Pharmacists were responsible for 39.0% of reports and achieved the highest completeness score, with a mean of 0.78. Age was significantly associated with the seriousness, outcome, and onset time of ADRs (p < 0.001), while gender was significantly associated with onset time (p = 0.007).

CONCLUSION: ADR reporting in Sierra Leone has improved, with antiparasitic medicines and vaccines most frequently linked to reactions. Sustaining progress requires enhanced training, public engagement, and strengthened active pharmacovigilance to ensure completeness and patient safety.

PMID:41807284 | DOI:10.1002/pds.70344

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Nevin Manimala Statistics

EEG based detection of schizophrenia using asymmetry of entropy and CNN-LSTM model

Proc Inst Mech Eng H. 2026 Mar 10:9544119261422821. doi: 10.1177/09544119261422821. Online ahead of print.

ABSTRACT

Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual’s real-life functioning. It is characterized by abnormal asymmetry in the neural activities of the brain reflecting functional and cognitive impairment. The irregularities in the neural dynamics are well captured by Electroencephalogram (EEG) based complexity measures. In this work, automated detection of schizophrenia is attempted using EEG based asymmetric entropy analysis and convolutional neural networks (CNN) integrated with Long Short Term Memory (LSTM) classification model. The asymmetric entropy feature maps are extracted from EEG frequency bands across all channel pairs using approximate, differential, sample, Shannon and spectral co-occurrence matrix entropies and are subjected to classification using pre-trained Inception-V3 CNN-LSTM model and the performance measures are evaluated. It is found that the magnitude values of approximate and sample entropies are found to be high when compared to other entropies and exhibit significant discrimination between normal and schizophrenic subjects. It is also found that statistically significant inception features derived from the inter-channel asymmetric feature maps yield high values of accuracy, precision, and F1 score across various frequency bands. It is further observed that high classification accuracy of 94.11% and precision of 100% are obtained for delta band. The classification model utilizing inter-channel asymmetries could capture the functional alterations due to the pathological condition and helps in accurate detection of schizophrenia.

PMID:41807278 | DOI:10.1177/09544119261422821