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Multiple features of cell-free mtDNA for predicting transarterial chemoembolization response in hepatocellular carcinoma.

BACKGROUND: Transarterial chemoembolization (TACE) is the primary treatment modality for advanced HCC, yet its efficacy assessment and prognosis prediction largely depend on imaging and serological markers that possess inherent limitations in terms of real-time capability, sensitivity, and specificity. Here, we explored whether multiple features of cell-free mitochondrial DNA (cf-mtDNA), including copy number, mutations, and fragmentomics, could be used to predict the response and prognosis of patients with HCC undergoing TACE treatment. METHODS: A total of 60 plasma cell-free DNA samples were collected from 30 patients with HCC before and after the first TACE treatment and then subjected to capture-based mtDNA sequencing and whole-genome sequencing. RESULTS: Comprehensive analyses revealed a clear association between cf-mtDNA multiple features and tumor characteristics. Based on cf-mtDNA multiple features, we also developed HCC death and progression risk prediction models. Kaplan-Meier curve analyses revealed that the high-death risk or high-progression-risk group had significantly shorter median overall survival (OS) and progression-free survival than the low-death risk or low-progression-risk group (all p<0.05). Moreover, the change in cf-mtDNA multiple features before and after TACE treatment exhibited an exceptional ability to predict the risk of death and progression in patients with HCC (log-rank test, all p<0.01; HRs: 0.36 and 0.33, respectively). Furthermore, we observed the consistency of change between the cf-mtDNA multiple features and copy number variant burden before and after TACE treatment in 40.00% (12/30) patients with HCC. CONCLUSIONS: Altogether, we developed a novel strategy based on profiling of cf-mtDNA multiple features for prognosis prediction and efficacy evaluation in patients with HCC undergoing TACE treatment.

Humans

Optical genome mapping improves clinical interpretation of constitutional copy-number gains and reduces their VUS burden.

PURPOSE: Genomic structure of copy-number gains is critical for their clinical interpretation but cannot be determined by chromosomal microarray (CMA) analysis, which does not provide information about chromosomal location and orientation of multiplied regions. We thus hypothesized that in CMA testing gains have higher probability than losses to be classified as variants of uncertain significance (VUS) and that structural information from optical genome mapping (OGM) may improve their interpretation. METHODS: Using a &#x3c7;2 test, we assessed the association between classification of copy-number variants as VUS and their type (gains vs losses) in a cohort of 4073 CMA cases. Thirty-three VUS gains involving disease-associated genes were characterized by OGM to evaluate if OGM data enable their more conclusive clinical interpretation. RESULTS: The proportion of variants reported as VUS compared with likely pathogenic/pathogenic was significantly higher for gains than losses, confirming their increased VUS burden. OGM successfully determined genomic structure for all 33 copy-number gains, showing that 26 of 33 were tandem duplications and 7 of 33 were complex rearrangements. Structural information facilitated clinical interpretation in majority of the cases; it supported benign nature for 27 of 33 gains and was inconclusive or supported pathogenic role for 6 of 33. An estimated 20% of reported VUS gains would not have been reportable if we had OGM data. CONCLUSION: We illustrate a specific advantage of OGM compared with CMA: in addition to detecting both copy-number variants and balanced rearrangements, OGM improves clinical interpretation of copy-number gains by providing structural information and is thus expected to significantly decrease their VUS burden.

Humans

NF2-related Schwannomatosis Diagnosed Before and After 30 Years of Age: Differences in Disease Presentation and Rates of Positive Genetic Testing.

OBJECTIVE: Characterize pathogenic variants, rates of mosaicism, genetic testing yield, and disease severity among patients with NF2-related schwannomatosis dichotomized by diagnosis before or after the age of 30. STUDY DESIGN: Retrospective analysis. SETTING: Tertiary referral center multidisciplinary NF2 clinic from 2021 to 2024. PATIENTS: Patients with NF2-related schwannomatosis. INTERVENTION: Next-generation sequencing. MAIN OUTCOME MEASURE: Rates of mosaicism, genetic testing rates and yield, and overall disease severity by tumor burden. RESULTS: From 2021 to 2024, there were 32 patients &#x2265;30 years of age and 39 patients diagnosed at younger ages. Patients diagnosed &#x2265;30 years exhibited decreased likelihood of receiving genetic testing (53% vs. 85%; P =0.009) and decreased genetic yield (defined as identification of a pathogenic genetic variant in those undergoing testing; 65% vs. 85%; P =0.20). Both age groups demonstrated similar rates of pathogenic variant type with loss-of-function being the predominant variant detected in 73% vs. 67%, for &#x2265;30 vs. <30 years of age; P =0.90. Those &#x2265;30 years harbored fewer number of average anatomic regions involved by tumor (2.3 vs. 3.4; P <0.001) and decreased total number of tumors (7 vs. 12; P <0.001). CONCLUSIONS: Patients diagnosed with NF2-related schwannomatosis at age &#x2265;30 years exhibited reduced disease severity compared with those diagnosed at a younger age despite harboring similar distributions of genetic pathogenic variants inclusive of loss-of-function pathogenic variants. These observations emphasize the importance of considering patient age in addition to genetic testing for diagnostic framing tailored to patients' biology and clinical context to optimize care in the setting of NF2-related schwannomatosis.

Humans

The Role of Genetic Variation in Phenotypic Variability in Loeys-Dietz Syndrome.

BACKGROUND: Loeys-Dietz syndrome (LDS) is a heritable connective tissue disorder caused by pathogenic variants in genes of the transforming growth factor-&#x3b2; (TGF-&#x3b2;) signaling pathway. Although genotype-phenotype correlations have been suggested, comprehensive comparative data across LDS subtypes remain limited. Improved understanding of these correlations is essential to guide individualized surveillance and management strategies. METHODS: We conducted a retrospective cohort study of adults with genetically confirmed LDS evaluated between 2018 and 2024 across Mayo Clinic sites. Patients with pathogenic, likely pathogenic, or suspicious variants in TGFBR1, TGFBR2, or SMAD3 were included. Clinical characteristics, physical examination findings, cardiovascular and noncardiovascular manifestations, surgical interventions, and mortality were compared across genotypes. Categorical variables were analyzed using chi-square tests and continuous variables using parametric or nonparametric methods as appropriate. RESULTS: A total of 93 patients were included (29 TGFBR1, 33 TGFBR2, 31 SMAD3). Demographics and mortality did not differ significantly between groups. Patients with TGFBR1 and TGFBR2 demonstrated trends toward higher rates of ascending aortic aneurysm and aortic dissection compared with SMAD3 patients, though these differences were not statistically significant. Renal artery aneurysms were significantly more common in TGFBR1 patients (13.8%, p = 0.010). SMAD3 patients had significantly higher rates of mitral regurgitation (54.8%, p = 0.04), peripheral neuropathy (29.0%, p = 0.018), and trends toward increased atrial fibrillation and osteoarthritis. A novel association was identified between TGFBR1 variants and migraine, which was significantly more prevalent in this group (62.1%, p = 0.017). The rates of major cardiovascular surgical interventions were high and comparable across all genotypes. CONCLUSION: Distinct genotype-phenotype associations exist among LDS subtypes. TGFBR1 and TGFBR2 variants are associated with a greater burden of aggressive vascular disease, whereas SMAD3 variants are linked to mitral valve disease, peripheral neuropathy, and osteoarthritis. We also identified a novel association between TGFBR1 genotype and migraine. These findings reinforce the importance of comprehensive genetic testing to inform personalized surveillance and management strategies in LDS.

Humans

RAREsim2: flexible simulation of rare variant genetic data using real haplotypes.

MOTIVATION: Realistic simulated data is critical for advancing methodological development and optimizing study design in genetics research. However, many genetic simulation tools are unable to replicate the distribution of rare variants or incorporate key genetic information, such as functional annotations and linkage disequilibrium. RAREsim, an accurate rare variant simulation algorithm that uses real genetic haplotypes, was developed to address these limitations. Here, we introduce RAREsim2, an update that provides both streamlined software and new functionalities for simulating individual-level differences (e.g., case-control status, technological or batch effects) and variant-level differences to represent a variety of causal models. RESULTS: We demonstrate RAREsim2's utility with three rare variant association methods (Burden, SKAT, and SKAT-O) across several simulation scenarios, including various genetic ancestries, gene sizes, strengths of association, and proportions of risk variants. Type I Error was maintained and the test with the highest power matched previously known patterns. Importantly, real genetic regions can be simulated to include known variant functions and disease associations. Ultimately, RAREsim2 offers additional flexibility and ease in simulating a multitude of realistic genetic scenarios. AVAILABILITY AND IMPLEMENTATION: The RAREsim2 Python package is publicly available on Github (https://github.com/Hendricks-Research-Team/RAREsim2), PyPI (https://pypi.org/project/raresim/), and Zenodo (https://doi.org/10.5281/zenodo.19442523). Code for the example demonstration can be found at https://github.com/JessMurphy/RAREsim2-demo.

Software

Tumor genomic landscape of older patients with metastatic breast cancer&#x2606;.

BACKGROUND: Metastatic breast cancer (MBC) in older patients has distinct clinical and histologic characteristics. Elucidating the genomic basis of MBC helps identify potential therapeutic targets to improve outcomes for older patients with MBC. PATIENTS AND METHODS: Using a prospective database and targeted DNA sequencing (OncoPanel), we examined MBC's genomic landscape in older patients (age &#x2265;70 years at MBC diagnosis) and compared findings with those in younger (aged <50 years) and middle-aged (aged 50-69 years) patients. After classifying single nucleotide variants (SNVs) and copy number variations (CNVs) as oncogenic (via OncoKB), the frequencies of SNVs and CNVs, tumor mutational burden (TMB), and oncogenic signaling pathways were compared by age group using Fisher's exact tests. We estimated the association between continuous age at MBC diagnosis and mutations via multivariate logistic regression analysis, adjusting for race, stage at initial diagnosis, subtype, histology, and sample tested (primary versus metastatic). RESULTS: Our study included 2379 patients [853 (35%) younger, 1311 (55%) middle-aged, and 215 (9%) older] who underwent OncoPanel testing between 2013 and 2020. The most frequent tumor alterations in older patients were SNVs in PIK3CA (44%), TP53 (33%), CDH1 (22%) and amplifications in CCND1 (18%). After adjustment, older age was associated with higher frequency of SNVs in CDH1 [odds ratio (OR) = 1.43, 95% confidence interval (CI) 1.21-1.68, q < 0.001], MAP3K1 [OR = 1.30, 95% CI 1.10-1.54, q = 0.008], and PIK3CA [OR = 1.21, 95% CI 1.11-1.31, q < 0.001] and fewer SNVs in TP53 [OR = 0.84, 95% CI 0.77-0.91, q < 0.001]. Patients in the older group were more likely to have tumors with &#x2265;10 mutations/megabase than the youngest patients (26% versus 17%, P = 0.003). CONCLUSIONS: In this large cohort of patients with MBC, the tumor genomic landscape differed between older and younger patients even after accounting for tumor subtype. Older patients were more likely to have high-TMB and PIK3CA-mutated tumors, highlighting the importance of genomic testing for treatment applications in this population.

NGS

On the controversies about clinical use of EEG brain mapping.

Quantitative EEG analysis, often called EEG Brain Mapping, consists of a large variety of separate techniques. Most of these techniques have demonstrated research uses, but few have been shown to have clinical applications that actually impact patient care. Substantial problems exist that can interfere with routine clinical applications. These include a variety of artifacts, confounding clinical problems, diversity of techniques and statistical issues. Existing medical literature suggests several areas where there are clinical uses at this time. EEG Brain Mapping can be used as a testing technique to determine abnormality and perhaps as a monitoring tool, too. It should be viewed as complementary to neuroimaging techniques, rather than a competitor. Those who introduce costly new technology bear the burden of proof for demonstrating its usefulness and cost-effectiveness. Evaluation of new tests should be based on several principles outlined here. EEG Brain Mapping, when used for clinical purposes, should be read together with the accompanying traditional polygraph EEG record. Reproducibility of results should be demonstrated, and artifacts, normal variants and other problems must be identified or avoided. The reader must recognize that features noted on statistical tests do not necessarily imply that pathology exists. Reporting results and clinical implications should be done carefully, thoroughly and with appropriate caution. Results are often quite nonspecific. The user must have skills, knowledge and abilities for reading polygraph EEG as well as additional experience and knowledge about quantitative EEG techniques and problems. Experts must remain careful and responsible about introducing EEG Brain Mapping into routine clinical practice.

Brain

Beyond enrichment: pharmacogenetic heterogeneity in treatment-resistant depression.

OBJECTIVES: Genetic variation has been proposed as a potential contributor to antidepressant nonresponse, but its role in treatment-resistant depression (TRD) remains unclear. This study used pharmacogenetics (PGx) to characterize genetic variation in TRD and determine whether actionable PGx variation and drug-gene interaction (DGI) mismatch were associated with antidepressant nonresponse and TRD burden. METHODS: This observational study included 158 individuals with TRD recruited from outpatient clinics in Western Australia. Genotype and genotype-predicted phenotypes for CYP2B6, CYP2C19, and CYP2D6 were derived from commercial PGx testing and compared with ethnicity-matched reference populations from ClinPGx. Antidepressant-specific DGIs were classified as actionable or nonactionable according to Clinical Pharmacogenetics Implementation Consortium guidelines, and unsupervised clustering was used to identify clusters based on these actionability profiles. Analyses were performed to determine if actionable PGx variation, cluster membership, or PGx mismatch was associated with TRD burden (number of failed antidepressant trials). RESULTS: PGx variation in the TRD cohort was consistent with population expectations, with no evidence of enrichment for actionable PGx variants. Clustering identified six clusters with distinct and gene-specific patterns of PGx variation independent of demographic and clinical characteristics. However, neither PGx mismatch nor cluster membership were associated with TRD burden. CONCLUSION: These findings suggest that actionable PGx phenotypes are neither enriched in TRD nor associated with greater TRD severity. Rather, the results indicate that TRD does not represent a single, unified PGx-predicted 'poor pharmacological responder' phenotype but instead reflects a biologically heterogeneous collection of distinct PGx profiles.

antidepressants

Atypical beta-hexosaminidase in sera of cancer patients with liver metastases.

Previous studies have reported altered isozyme compositions and properties of beta-hexosaminidase in human cancerous tissues, and an atypical beta-hexosaminidase was found previously in metastatic tumor tissue of human liver. The present investigation was concerned with determining if this atypical beta-hexosaminidase could be detected (by analytical column isoelectric focusing) in the sera of cancer patients who have liver metastases. Analyses of sera from 14 cancer patients indicated that 12 contained an atypical beta-hexosaminidase in addition to normal beta-hexosaminidase A and B. Analysis of sera from 15 normal controls and 8 controls with benign disease indicated that the atypical beta-hexosaminidase may be specific for malignant disease. The mean percentage of recovered beta-hexosaminidase activity associated with peaks of beta-hexosaminidase B (i.e., peaks with isoelectric point values at or near that of normal beta-hexosaminidase B) was slightly elevated in cancer sera [37 +/- 9.6% (S.D.)] when compared to normal (32 +/- 9%) and pathological control (29 +/- 10%) sera. The variant beta-hexosaminidase may prove to be a useful general marker for tumor burden or a more specific marker for liver metastases.

Adult

Integrative multi-omics quantitative trait loci prioritize CASP7 as a candidate protective gene for cataract.

Cataracts are the leading cause of vision loss worldwide. Despite surgery being the only effective treatment, its economic burden highlights the necessity of exploring the pathogenesis of cataracts. In this study, we analyzed 4 large-scale GWAS (genome-wide association study) datasets for cataracts and performed SMR analysis along with heterogeneity in dependent instruments (HEIDI) testing to explore the effects of methylation, expression, and protein QTLs on cataracts. We further validated shared genetic variants through COLOC analysis. Additionally, we searched datasets related to cataracts from the Gene Expression Omnibus (GEO) database for differentially expressed genes (DEGs) and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses. By integrating summary-based Mendelian randomization (SMR) results with bioinformatics findings, CASP7 showed a consistent protective-direction association with cataract risk (mQTL: OR [95% CI]&#x2005;=&#x2005;0.959 [0.941-0.977], FDR-adjusted P&#x2005;=&#x2005;.039; eQTL: OR [95% CI]&#x2005;=&#x2005;0.897 [0.860-0.937], FDR-adjusted P&#x2005;=&#x2005;.0046; pQTL: OR [95% CI]&#x2005;=&#x2005;0.597 [0.483-0.738], FDR-adjusted P&#x2005;=&#x2005;.00083). GEO-based analyses provided transcriptomic support for CASP7 involvement in cataract-related lens biology. These findings prioritize CASP7 as a genetically supported candidate protective gene associated with cataract risk. Because this study is based on public summary-level and transcriptomic datasets, the results should be interpreted cautiously and require functional validation in human lens-relevant systems.

Quantitative Trait Loci

Atypical angina in patients with coronary artery disease suggests panic disorder.

The occurrence of psychiatric disorders in patients with "medical" problems is not only possible but may be even facilitated by these problems. This article examines the relationship between the type of chest pain and the diagnosis of panic disorder among coronary artery disease (CAD) patients. Forty-nine such cardiology patients were interviewed using a structured instrument. Forty percent of patients with atypical angina met DSM-III-R criteria for current panic disorder while no panic disorder was identified in the typical angina group. This finding should have great implications for the care of CAD patients. At least many of the atypical angina patients could benefit from standard effective treatment for panic disorder. This would likely improve their functioning and decrease the financial burden on them and the health care system.

Adult

Genomic and epigenomic diversity of breast cancer across Western and MENA populations: implications for precision oncology.

Breast cancer is the most common malignancy in women worldwide and is increasingly recognized as a biologically diverse disease shaped by both molecular and ancestral context. Women from the Middle East and North Africa (MENA) populations, including Saudi Arabia, often present at a younger age and with more aggressive subtypes such as HER2-positive and triple-negative breast cancer (TNBC) compared with Western cohorts. These clinical patterns reflect a distinctive genomic background marked by high consanguinity, founder mutations in key susceptibility genes, and population-specific somatic alterations that are not fully captured in global reference datasets. This review brings together current evidence on somatic, germline, transcriptomic, and epigenomic diversity in breast cancer across Western and MENA populations, with a focus on Saudi cohorts. Drawing on a previously published systematic review of more than 2,500 MENA breast cancer cases, TP53 accounted for approximately 24% and PIK3CA for roughly 10% of curated somatic mutation records pooled across 44 studies (proportions of mutation calls, not per-patient prevalence); in a separate single-center Saudi cohort, only 3.7% of patients underwent BRCA testing, and 37.5% of this clinically selected, testing-referred subgroup carried a pathogenic variant, a figure that should not be read as general-population BRCA prevalence. Variants of uncertain significance exceeded 20% across several regional genomic studies. We summarize conserved driver events, such as recurrent TP53 and PIK3CA mutations, while highlighting regional features, including unique stop-gain and loss-of-function variants, a high copy-number burden, and early-onset disease linked to ancestral architecture. We also discuss emerging data on MENA-specific regulatory signatures, including immune-enriched and basal-myo transcriptomic clusters, CIMP-like methylation patterns, and non-coding RNA networks; these associations are numerically suggestive in available cohorts but have not reached statistical significance in existing studies and warrant validation in larger, dedicated MENA/Saudi cohorts before being considered established determinants of treatment response and resistance. Finally, we examine the clinical implications of this diversity for biomarker development, pharmacogenomics, and access to targeted therapies, and outline practical steps toward ancestry-aware precision oncology in the region.

BRCA

Survey of diagnostic laboratories highlights need for improved standards in somatic genomic testing and reporting.

There is a growing international need to support somatic genomic testing, standardised variant curation and improved patient access to molecular profiling for somatic conditions, including cancer. We conducted a survey of scope, curation, reporting and sharing practices of diagnostic laboratories performing somatic testing in Australia and New Zealand. Laboratories with accreditation (n&#x2009;=&#x2009;41) were invited in 2023 to complete a semi-structured, 25-question interview. Responses were received for 27 laboratories (66% response rate) offering solid tumour, haematological malignancy and non-cancer services. Only 36% of laboratories offered tests capturing the full breadth of variants, from single-nucleotide variants to gene fusions. Knowledge sharing was rare, with only one laboratory submitting variant classifications to a public knowledge base. Most laboratories (96%) conducted somatic testing in oncology. Of cancer laboratories, 35% offered testing considered capable of comprehensive genomic profiling (CGP). Almost half of cancer laboratories had already adopted the 2022 ClinGen/CGC/VICC oncogenicity guidelines, and 84% were using AMP/ASCO/CAP 2017 clinical significance guidelines. Only 47% of mixed discipline&#xa0;cancer laboratories reported biomarkers such as tumour mutational burden, with wide variation in reporting of matched therapy options. Our study has generated a unique overview of somatic laboratory practices in the region, and areas for global standardisation in somatic molecular testing and reporting. We also provide a model for practice and guideline uptake assessment, for application by other country-wide networks. This is particularly relevant in anticipation of CGP mainstreaming, with the increasing complexity of sequencing interpretation for laboratories and clinicians.

Humans

Epilepsy of infancy with migrating focal seizures: A scoping review of clinical features, diagnostic testing including genetics, long-term outcomes, mortality, and current and emerging therapeutic strategies.

BACKGROUND: Epilepsy of infancy with migrating focal seizures (EIMFS) is among the most severe developmental and epileptic encephalopathies (DEEs), marked by intractable multifocal seizures migrating across both hemispheres, profound developmental arrest, and high early mortality. Advances in next-generation sequencing have revealed a heterogeneous genetic architecture dominated by KCNT1 gain-of-function variants across more than 30 implicated genes, creating opportunities for precision therapeutics. OBJECTIVE: To systematically map published evidence on the clinical, electrophysiological, neuroimaging, genetic, and therapeutic landscape of EIMFS, and to delineate critical knowledge gaps and future research priorities. METHODS: A scoping review was conducted following the Arksey and O'Malley framework, searching PubMed, Ovid MEDLINE, Embase, Cochrane Library/CENTRAL, and ClinicalTrials.gov. RESULTS: Of 643 articles screened, 89 met inclusion criteria. Beyond confirmation of the canonical electroclinical phenotype, several gaps emerged: neonatal versus post-neonatal onset stratification by genetic etiology remains largely uncharacterized; genotype-specific EEG biomarkers are lacking except for a single small KCNT1 study; and the clinical significance of atypical EEG features-including burst suppression and hypsarrhythmia-is undefined. Neuroimaging literature documents progressive cerebral atrophy and myelination abnormalities without quantitative volumetry, diffusion tractography markers, or attribution to seizure burden, medication effects, or underlying etiology. Genetic diagnostic yield was 70-80%, with KCNT1 accounting for 30-50% of solved cases; however, genotype-outcome stratification is limited. Seizures were broadly refractory; potassium bromide, ketogenic diet, cannabidiol, and quinidine (in KCNT1-confirmed cases) showed partial efficacy. Emerging precision approaches include sodium channel blockers for SCN2A gain-of-function variants, novel small molecules, fluoxetine, antisense oligonucleotides, and divalent siRNA targeting KCNT1. Systemic-to-pulmonary collateral circulation causing severe cardiopulmonary complications was reported across multiple cases, yet no consensus screening protocol exists. CONCLUSIONS: EIMFS remains one of the most refractory epilepsy syndromes of infancy. Precision genetic diagnosis is essential to guide targeted therapy. International collaborative registries, standardized outcome measures, genotype-stratified biomarker studies, and rapid point-of-care genomic testing are urgently needed to advance evidence-based care for this highly vulnerable population.

Humans

Genetic diversity of clinical Mycobacterium bovis BCG isolates from an immunocompromised patient with BCG infection.

BACKGROUND: The Bacillus Calmette-Gu&#xe9;rin (BCG) vaccine is widely administered to prevent severe tuberculosis but can cause serious adverse events, including disseminated BCGosis, in immunocompromised individuals. However, studies investigating the in vivo genetic adaptation and microevolution of this live-attenuated vaccine during prolonged infection remain limited. METHODS: Two clinical Mycobacterium bovis BCG isolates (BCG01 and BCG02) and a lot-matched vaccine strain (VAC) underwent whole-genome sequencing. Phenotypic drug susceptibility testing was performed on the clinical isolates. Genomic relatedness was assessed using SNP-distance clustering and maximum-likelihood phylogeny against global reference strains. Comparative variant analysis was performed to identify mutations specific to BCG01 and BCG02 relative to VAC, and genotypic drug resistance was assessed using TB-Profiler. RESULTS: Phylogenomic analyses and SNP distance confirmed that both clinical isolates were derived from the BCG Tokyo 172 vaccine strain. BCG02 exhibited twice the mutational burden of BCG01, acquiring mutations in genes associated with cell wall biosynthesis (mas, ppsA), regulatory adaptation (pknK, dnaA), and surface antigens (pecA, PE/PPE). Crucially, whereas BCG01 remained susceptible to first-line drugs, BCG02 acquired a canonical rpoB Ser450Leu mutation (100% frequency) and a heteroresistant inhA Ile194Thr mutation (13% frequency), resulting in multidrug-resistant (MDR) BCGosis. CONCLUSION: Although structurally stable, the BCG Tokyo 172 vaccine strain can undergo rapid, clinically significant microevolution and clonal selection within immunocompromised hosts. The in vivo acquisition of multidrug resistance underscores the critical need for pre-vaccination immune screening and comprehensive laboratory monitoring of BCG-associated adverse events.

BCGosis

Epigenetic aging and autosomal methylation remodeling in Anderson-Fabry disease.

Anderson-Fabry disease (AFD) is a rare X-linked lysosomal storage disorder characterized by marked clinical heterogeneity and incompletely understood genotype-phenotype correlations. While X-chromosome inactivation has been extensively investigated, the contribution of autosomal epigenetic mechanisms to phenotypic variability remains poorly defined. Here, we performed an exploratory genome-wide DNA methylation analysis in 32 AFD patients (22 females and 10 males; mean age 51.7&#xa0;years) recruited within a multicenter regional research project in Calabria (Italy). DNA methylation profiling was conducted using the Infinium MethylationEPIC v2.0 array. The analysis integrated two complementary approaches: differential methylation analysis and evaluation of biological aging through multiple epigenetic clocks, including Horvath, Hannum, PhenoAge, Skin & Blood, GrimAge, and DunedinPACE. Exploratory methylome-wide analysis identified a limited set of CpG loci showing nominal evidence of methylation differences between carriers of pathogenic and non-pathogenic variants; however, none remained statistically significant after correction for multiple testing. Annotation of the top-ranking nominal CpG associations highlighted genes involved in biological processes including vascular regulation, intracellular trafficking, cytoskeletal organization, immune signaling, and lipid metabolism. No significant differences between groups were observed for the conventional epigenetic age-acceleration measures examined. In contrast, carriers of pathogenic variants showed significantly higher DunedinPACE values (p&#xa0;=&#xa0;0.0328), indicating a faster estimated pace of biological aging. This finding suggests that DunedinPACE may capture aspects of the cumulative systemic burden associated with pathogenic GLA variants, although confirmation in larger independent cohorts is required. Overall, this pilot epigenomic study provides preliminary evidence that autosomal epigenetic remodeling and biological aging acceleration may contribute to phenotypic heterogeneity in AFD.

Anderson-Fabry disease

Targeted Next-Generation Sequencing in Rare Diseases.

Targeted next-generation sequencing (NGS) in rare disease focuses on genetic analysis of specific regions in genome that are linked to a rare disease. In addition to library preparation, sequencing, and data analysis, targeted NGS includes an additional step of target enrichment of selected genes and regions. It allows for more sensitive and profound sequencing, as it is a fast and cost-effective approach with less data burden and is therefore often a method of choice for identifying rare variants in known genes, especially in diagnostics of rare diseases. Several in silico tools address the pathogenicity predictions of rare variants of unknown significance (VUS) and can therefore facilitate clinical interpretation.

Rare Diseases

APOL1 kidney disease: a critical narrative review of molecular mechanisms, clinical heterogeneity, and the emerging therapeutic landscape.

BACKGROUND: The G1 and G2 variants of the APOL1 gene represent significant genetic risk factors for APOL1 kidney disease and contribute substantially to the excess burden of renal disease observed in individuals of African ancestry. Importantly, both variants exhibit incomplete penetrance, with only approximately 15-20% of high-risk genotype carriers ultimately developing overt nephropathy. OBJECTIVE: To provide a critically appraised, clinically oriented narrative synthesis of APOL1 kidney disease that (i) assigns an explicit certainty rating to each major mechanistic and clinical claim, (ii) identifies where published estimates diverge, where associations remain contested, and where conclusions have been overstated in the secondary literature, and (iii) aligns terminology, testing guidance and therapeutic expectations with the conclusions of the 2025 KDIGO Controversies Conference and with clinical trial data available to August 2026. METHODS: This literature narrative review was performed using a literature search of PubMed and Scopus focusing on APOL1-related nephropathy. Mainly studies published from 2010 to 2026 were considered; however, some selected historical papers from 2005 to 2010 were used for better understanding of the underlying mechanisms and history. Used search terms were "APOL1," "APOL1 risk variants," "chronic kidney disease," AMPLITUDE trial, MZE829, HORIZON trial, "focal segmental glomerulosclerosis," "HIV-associated nephropathy," "podocyte injury," "inaxaplin," "VX-147," KDIGO 2025, and "antisense oligonucleotides." Trial status and topline results for agents in development were additionally verified against ClinicalTrials.gov registrations and sponsor disclosures. The literature search was last updated on 10 August 2026. The inclusion criteria of the study were peer-reviewed original articles, genome-wide association studies, randomised controlled trials, translational studies, mechanistic investigations, and high-quality review articles published in the English language. Exclusion criteria included conference abstracts without peer review, duplicate papers, non-English publications with unreliable translation, and case reports with no relevance to the underlying mechanisms. More attention was paid to studies focusing on molecular pathogenesis of APOL1 nephropathy, second-hit pathophysiology, genotypes/phenotypes, and new therapies (e.g. inhibitors such as Inaxaplin). The review method and design have been prepared according to SANRA (Scale for the Assessment of Narrative Review Articles) criteria. Among eligible articles, priority was given to studies with larger sample sizes, more recent publication dates, higher-impact peer-reviewed journals, and direct clinical or mechanistic relevance to APOL1-associated nephropathy; where multiple studies addressed the same question, the most methodologically rigorous and most recent source was preferentially cited. To move beyond description, each principal claim carried forward into this review was assigned a qualitative certainty rating (high, moderate, low or very low) on the basis of study design, consistency across independent cohorts, directness of the evidence to human disease, and precision of the estimate. These ratings, together with the study design that would be required to resolve each remaining uncertainty, are presented in Table&#xa0;5. This grading represents a structured judgement by the authors and is not a formal GRADE assessment. RESULTS: Pathogenic actions of APOL1 risk alleles depend on toxic gain-of-function activities that result from the disruption of ion channels. Mitochondrial dysfunction, endoplasmic reticulum stress, and inflammasome activation play roles as secondary downstream modulators of podocyte damage. The existence of incomplete penetrance and lack of symptoms in people with high-risk alleles highlights the need for secondary triggers, including environmental, infectious, and inflammatory factors, for disease onset and progression. High-risk APOL1 genotypes increase the likelihood of rapidly progressing kidney diseases like FSGS, which amplify susceptibility in HIVAN when accompanied by secondary causes like HIV infection. Management is mainly through renin-angiotensin antagonists, but recent treatments include antisense oligonucleotides, immunomodulators, and small molecule inhibitors like inaxaplin. Although promising, inaxaplin (VX-147) showed a ~47% reduction in urine protein/creatinine ratio (UPCR) in Phase 2a trial; however, these findings are based on a relatively small sample size, an open-label study design, and short-term follow-up, and therefore require confirmation in ongoing Phase 3 studies. As this is a narrative review rather than a primary study, no new patient-level data are reported. Across the studies synthesised, high-risk APOL1 genotypes were consistently associated with podocyte injury and with a faster decline in kidney function than low-risk genotypes; however, the magnitude of this association varied substantially with how cohorts were ascertained. The association is robust and reproducible for focal segmental glomerulosclerosis, HIV-associated nephropathy, and hypertension-attributed kidney failure, and remains inconsistent for diabetic kidney disease. Therapeutic development has accelerated, but the supporting clinical evidence remains early phase. Inaxaplin (VX-147) reduced the urine protein-to-creatinine ratio by approximately 47.6% at week 13 in a 16-participant, single-group, open-label Phase 2a study, and is now being evaluated in the randomised, double-blind, placebo-controlled Phase 2/3 AMPLITUDE trial (NCT05312879), whose pre-specified week 48 interim analysis is anticipated in early 2027. MZE829, an orally administered APOL1 inhibitor, produced a mean 35.6% reduction in the urine albumin-to-creatinine ratio at 12&#xa0;weeks in the Phase 2 HORIZON study; because HORIZON was a small, open-label, single-arm basket study (15 participants enrolled, 12 evaluable) whose primary endpoints were safety and tolerability, this reduction is neither placebo adjusted nor the result of a formal test of efficacy. To date, no APOL1-targeted agent has demonstrated benefit on a hard kidney endpoint. CONCLUSION: APOL1 is the clearest current example of a genetically defined, mechanism-targetable kidney disease, but its evidence base is uneven. The genetic association is firmly established; whereas much of the mechanistic literature derives from overexpression systems, several downstream pathways remain contested, and every APOL1-targeted therapy is so far supported only by short-term, surrogate-endpoint data. The principal unresolved issues are the determinants of incomplete penetrance, the absence of a validated progression biomarker and of any model reproducing the common slowly progressive phenotype, and the long-term efficacy and safety of APOL1-directed therapy. Genotype-guided risk stratification is therefore best regarded as clinically reasonable but not yet proven, and routine population-level screening is not currently supported.

AMPLITUDE trial