A clinical and genetic database for management of familial adenomatous polyposis.
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Adenomatous Polyposis Coli↗
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Results for “clinical genetics database”
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Characterizing trends in clinical genetic testing: A single-center analysis of EHR data from 1.8 million patients over two decades.
A lack of structural data in electronic health records (EHRs) makes assessing the impact of genetic testing on clinical practice challenging. We extracted clinical genetic tests from the EHRs of more than 1.8 million patients seen at Vanderbilt University Medical Center from 2002 to 2022. With these data, we quantified the use of clinical genetic testing in healthcare and described how testing patterns and results changed over time. We assessed trends in types of genetic tests, tracked usage across medical specialties, and introduced a new measure, the genetically attributable fraction (GAF), to quantify the proportion of observed phenotypes attributable to a genetic diagnosis over time. We identified 104,392 tests and 19,032 molecularly confirmed diagnoses. The proportion of patients with genetic testing in their EHRs increased from 1.0% in 2002 to 6.1% in 2022, and testing became more comprehensive with the growing use of multi-gene panels. The number of unique diseases diagnosed with genetic testing increased from 51 in 2002 to 509 in 2022, and there was a rise in the number of variants of uncertain significance. The phenome-wide GAF for 6,505,620 diagnoses made in 2022 was 0.46%, and the GAF was greater than 5% for 74 phenotypes, including pancreatic insufficiency (67%), chorea (64%), atrial septal defect (24%), microcephaly (17%), paraganglioma (17%), and ovarian cancer (6.8%). Our study provides a comprehensive quantification of the increasing role of genetic testing at a major academic medical institution and demonstrates its growing utility in explaining the observed medical phenome.
Humans↗
TCK: a clinical genetics data collection system.
This work examines the database design and user interface design for a clinical genetics data collection system known as TCK. A specific design goal is automatic generation of the CORN reports. Emphasis in this paper is on how the logical data model resulting from the database design, and the user interface work together to enforce the enterprise results pertaining to data. Data screens are shown, sample queries are explained and the data mapping to the CORN reports presented.
Computer Simulation↗
Imprecision medicine: Systematic gaps in reporting variants of uncertain significance (VUS) and their reclassifications.
PURPOSE: Variants of uncertain significance (VUS) are frequently encountered during clinical genetic testing. To explore the clinical burden of VUS, we developed the Brotman Baty Institute Clinical Variant Database, which is an electronic health record (EHR)-linked database of clinical germline genetic variant information from patients with rare genetic disorders seen at 2 tertiary academic medical centers. METHODS: We retrospectively reviewed EHRs and genetic testing reports from 5158 patients seen across diverse adult genetics practices at these institutions from 2015 to 2024. We also compared these EHR-based variant classifications with those in ClinVar. RESULTS: The number of reported VUS relative to pathogenic or likely pathogenic variants can vary by over 14-fold depending on the primary indication for genetic testing and 3-fold depending on self-reported race. Furthermore, at least 1.6% of variant classifications used in the EHR for clinical care are outdated based on ClinVar variant classifications, including 26 instances in which the testing lab updated ClinVar, but the reclassification was never communicated to the patient. CONCLUSION: Our findings reveal that the clinical burden of VUS in adult medical genetics is unequally distributed across patients. We also highlight a deficiency in existing systems for communicating variant reclassifications to ClinVar, patients, and providers.
Humans↗
Alzheimer's subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study.
Since Alzheimer's disease (AD) is a heterogeneous disease, different subtypes may have distinct biological, genetic, and clinical characteristics, requiring tailored interventions. While several proposed subtypes of AD exist, there is still no clear consensus on a definitive classification. By leveraging complementary AI approaches, including supervised and unsupervised learning, within a recursive pipeline (SUMMER) that integrates multimodal datasets encompassing MRI measurements, phenotypes, and genetic data, our goal was to generate robust scientific evidence for identifying AD subtypes. Data was downloaded from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and included neuroimaging data (MRI), genetics (SNPs), clinical diagnosis, and demographics. 1133 European American participants' images, aged 55-95, were included in this study. The analysis was multi-fold, where the first step involved applying an unsupervised application to a subset of the MRI sample (AD + cognitively normal (CN) aged matched groups, 100 men aged 68-85 years, and 76 women aged 68-85 years). The MRI brain gray matter was segmented into 44 regions of interest (ROIs) according to a standard atlas, and 618 features were extracted, including ROI voxel intensity measurements such as minimum, maximum, and histogram variables. Results identified a cluster of subtype AD men and a cluster of subtype AD women that were distinct from the rest of their respective samples. In the next step, the integrity of the identified subtype AD clusters was investigated using the XGBoost supervised machine learning application with genetic features (SNPs, N=36,724) and labels: the identified subtype AD cluster vs. the rest of the sample, stratified by sex. A significant AD subtype men model (accuracy=0.85, F1=0.72, AUC=0.83) and a significant women AD subtype model (accuracy=0.81, F1=0.81, AUC=0.81) were built, confirming the homogeneity of the isolated AD subtype clusters. Discriminative biomarkers were extracted from the significant models, including selected ROIs and SNPs. Finally, the subtype models were tested on an unseen subset of ADNI data. The genetic-based models identified clusters of AD subtype participants consisting of 34% of the men AD group and 47% of the women AD group. Phenotypic analysis indicates that lower body weight was associated with the women's AD subtype. Complex diseases like AD demand a sophisticated, multimodal approach for precise diagnosis. Effectively identifying disease subtypes enhances the potential for personalized treatment, ultimately improving patient outcomes.
Journal Article↗
[Genetic analysis of a fetus with Short-rib thoracic dysplasia 8 with or without polydactyly due to variants of DYNC2I1 gene].
OBJECTIVE: To investigate the clinical characteristics of a fetus with Short-rib thoracic dysplasia 8 with or without polydactyly (SRTD8) due to variants of DYNC2I1 gene. METHODS: A fetus identified to have short ribs, short long bones, and narrow thorax at 26+1 weeks of gestation at the Women and Children's Hospital of Ningbo University in September 2024 was selected as study subject. The fetus underwent termination of pregnancy at 35+5 weeks of gestation. Clinical data of the fetus were retrospectively collected. Whole exome sequencing (WES) was carried out on fetal tissue, and candidate variants were validated by Sanger sequencing. Difference between the wild type and variant DYNC2I1 proteins was analyzed using AlphaFold v3.0.1 and PyMOL v2.5.6 software. Pathogenicity of the variant was rated based on guidelines from the American College of Medical Genetics and Genomics (ACMG). Using keywords such as "DYNC2I1 gene", previous literature on patients due to biallelic DYNC2I1 gene variants were retrieved from the PubMed databases, CNKI, and Wanfang Data Knowledge Service Platform, and the genetic variant and clinical phenotypes of patients were analyzed. The literature retrieval time was set from the establishment of database to December 31, 2025. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2023-094). RESULTS: Prenatal ultrasound revealed that the fetus had short ribs, short long bones, and narrow thorax at 26+1 gestational weeks. WES and Sanger sequencing revealed that the fetus has harbored compound heterozygous variants of the DYNC2I1 gene, namely c.265_268 (p.Gln89GlyfsTer15) in exon 3 and c.1777C>T (p.Arg593Trp) in exon 14, which were inherited from his father and mother, respectively. Prediction of the DYNC2I1 protein structure suggested that the c.265_268del variant has formed a premature termination codon, which may significantly alter the protein's secondary structure. The c.1777C>T variant may disrupt the electrostatic interaction between Arg593 and Asp729. Based on the ACMG guidelines, the c.265_268del (p.Gln89GlyfsTer15) variant was predicted to be likely pathogenic (PM2_Supporting +PVS1), whilst the c.1777C>T(p.Arg593Trp) variant was rated as uncertain significance (PM2_Supporting+PM3+PP4). Literature search has identified five articles related to biallelic DYNC2I1 variants involving a total of 11 fetuses/patients. Together with the fetus from this study, typical phenotypes included short ribs (6 cases), narrow thorax (6 cases), short limb bones (6 cases), and hand polydactyly (6 cases), and foot polydactyly (5 cases), albeit with significant clinical heterogeneity. A total of 12 genetic variants were identified, among which c.44delC was the most common (16.7%, 4/24), followed by c.1777C>T, c.2246C>T, and c.2305G>A (each accounting for 12.5%). No mutational hotspot was identified. CONCLUSION: The c.265_268del (p.Gln89GlyfsTer15) and c.1777C>T (p.Arg593Trp) compound heterozygous variants of the DYNC2I1 gene probably underlay the pathogenesis of SRTD8 in this fetus. This study has enriched the mutational spectrum of the DYNC2I1 gene and facilitated etiological diagnosis and treatment of DYNC2I1-related diseases.
Humans↗
Association between smoking, tumor genetics, and outcomes in men with metastatic prostate cancer.
PURPOSE: Smoking has been associated with increased metastatic prostate cancer mortality, but the mechanisms behind this are largely unknown. We hypothesized that smoking increases the risk of genetic alterations associated with aggressive disease and/or the transformation to neuroendocrine prostate cancer (NEPC). PATIENTS AND METHODS: We utilized the Prostate Cancer Precision Medicine Multi-institutional Collaborative Effort (PROMISE) clinical genomic database for this retrospective analysis. We associated patient characteristics and tumor genetic data with smoking exposure at diagnosis (current, former, never and pack years) and with clinical outcomes, including overall survival (OS) from diagnosis or time to developing metastatic disease and NEPC status. RESULTS: We identified 2353 men with prostate cancer and next generation somatic tumor sequencing evaluable for analysis in PROMISE, including 8% current, 39% former, and 52% never smokers. Current smokers were more likely to be younger and to have metastatic (M1 or N1) disease at diagnosis, and less likely to have prior local therapy (all p < 0.001). Current smoking was associated with worse OS from diagnosis (99.9 mo vs 137.6 mo, HR 1.42, 95% CI 1.14-1.77), which remained significant after adjusting for disease characteristics. We found no difference in the percentage of NEPC at initial diagnosis or at any time between current, former, and never smokers (p = 0.8). We found positive associations between smoking status and genetic alterations in SPOP (current: 15%, former 6.7%, never 3.8%; p = 0.018), FGFR1 (current 10%, former 0.4%, never 1.1% p = 0.001), and ARID1A (current 5.1%, former 2.2%, never 0.4%; p = 0.035) in patients with metastatic androgen pathway modulator sensitive prostate cancer (APMS). CONCLUSION: Active smoking is associated with worse overall and prostate cancer specific survival as compared to never/former smoking and was associated with specific tumor genetic alterations but not small cell/NEPC transformation.
Journal Article↗
Large-scale functional annotation establishes a reference framework for human LRRK2 variants.
Pathogenic variants in leucine-rich repeat kinase 2 (LRRK2)1are among the most frequent monogenic causes of Parkinson's disease (PD)2 and act through a gain-of-function mechanism of increased kinase activity. LRRK2-targeted therapies are in clinical development, but interpretation of the rapidly expanding catalogue of rare LRRK2 variants remains a barrier to translation. Here, we present functionally annotated data on >350 LRRK2 coding variants using a standardized cellular assay with Rab10 phosphorylation as a readout of kinase activity and integrated these data with curated genetic and clinical annotations from the Movement Disorders Society Genetic Mutation Database (MDSGene). Variants differed in activation magnitude, ranging from modest increases (e.g., p.G2019S) to strongly activating substitutions such as p.Y1699C or p.L1795F. Activating variants occurred across the full length of LRRK2, although the largest effects clustered within the ROC-COR regulatory hub, where structural analysis identified subdomains forming an allosteric scaffold controlling kinase output. All known/established pathogenic variants showed increased activity, whereas benign and likely benign variants remained within the wild-type range. Functional effect sizes correlated with pathway activation in patient-derived immune cells, altogether providing a framework for ACMG-based variant interpretation in which kinase activation can support PS3 functional evidence for reclassification of variants.
Protein phosphorylation↗
Expanding the Clinical Spectrum of DHX30-Related Neurodevelopmental Disorder: A Case Report and a Scoping Review.
BACKGROUND: Whole exome sequencing (WES) has improved diagnostic rates for neurodevelopmental disorders (NDDs) while introducing challenges in novel variant interpretation. DHX30-related NDD (DHX30-NDD) is a recently described condition with an evolving phenotypic spectrum. OBJECTIVES: To expand the understanding of the DHX30-NDD genotype-phenotype spectrum by integrating a case-based WES interpretation with a scoping review. METHODS: We performed comprehensive genetic analysis (karyotyping, microarray, WES) on a proband with global developmental delay (GDD). A systematic literature search of PubMed/MEDLINE, Scopus and Google Scholar from database inception to April 2026 identified 10 publications including 51 individuals with DHX30-NDD. Clinical and genetic data were extracted to characterize the genotype-phenotype spectrum. RESULTS: The proband presented with GDD and right microtia, harbouring a de novo heterozygous pathogenic DHX30 missense variant (c.1478G > A; p.Arg493His), confirming DHX30-NDD. To our knowledge, this is the first reported individual with DHX30-NDD and microtia. The scoping review confirmed DHX30 variants are formed predominantly de novo and affected both sexes (22 males; 29 females). Hallmark manifestations were motor delay (50/51; 98.0%), GDD/ID (48/49; 98.0%), hypotonia (48/51; 94.1%), feeding difficulties (38/51; 74.5%), ataxia (17/23; 73.9%), abnormal brain imaging (36/49; 73.5%) and absent expressive language (35/48; 72.9%). Digital anomalies (31/51; 60.8%), eye anomalies (28/51; 54.9%), autistic behaviours (24/44; 54.5%), sleep disturbances (26/51; 51.0%), joint hypermobility (25/51; 49.0%), microcephaly (23/51; 45.1%) and ear anomalies (22/51; 43.1%) were also frequent. CONCLUSIONS: This study potentially expands the phenotypic spectrum of DHX30-NDD, highlights the clinical utility of WES for diagnosing GDD and underscores the importance of ongoing WES reanalysis for evolving variant interpretation.
DHX30↗
Exploring the Melanoma and Pancreatic Cancer Phenotype of a Potential CDKN2A Founder Variant, I49T (c.146T>C; p.Ile49Thr), in Individuals of Predominantly Mexican Ancestry.
PURPOSE: Pathogenic/likely pathogenic variants (P/LPVs) in the CDKN2A gene cause an increased risk of melanoma (MEL) and pancreatic cancer (PANC). The CDKN2A variant I49T (c.146T>C), reported to be recurrent in Hispanics, has conflicting pathogenicity classifications at laboratories, affecting clinical care. Multiple genetics clinics collaborated to explore cancers associated with I49T. METHODS: Institutional clinical databases were queried for the CDKN2A variants, I49T, known P/LPVs, and c.-2G>A (a benign variant [BV]), and history of PANC and MEL was abstracted. A combination of statistical tests was used to investigate cancer history associations. RESULTS: Data on 203 individuals, with qualifying CDKN2A variants detected on multigene testing between 2012 and 2023, were analyzed (I49T, n = 101; known CDKN2A P/LPVs, n = 57; BV, n = 45). Those with I49T were 91% less likely to have MEL than known CDKN2A P/LPVs (odd ratio [OR] = 0.089 [95% CI, 0.031 to 0.025]; P < .001) and were also less likely to have PANC (OR = 0.45 [95% CI, 0.14 to 1.41]; P = .17). However, mean age at PANC diagnosis for I49T was 56.0 years, significantly younger than known CDKN2A P/LPVs (μ = 71.0 years; P = .026). CONCLUSION: In the largest I49T study to date to our knowledge, MEL was significantly less frequent compared with known CDKN2A P/LPVs. Although a nonsignificant trend was observed for less PANC in I49T than known P/LPVs, individuals with I49T presented with PANC at a significantly younger age than those with known CDKN2A P/LPVs. The presence of I49T in Hispanics of mostly Mexican ancestry supports that it is a founder variant, relevant to understanding cancer risk in a large proportion of Hispanics in the United States.
Humans↗
Pan-cancer characterization of HMGA1 reveals its oncogenic role in tumor microenvironment and stemness: functional validation in pancreatic cancer migration and invasion.
BACKGROUND: HMGA1 is a chromatin-associated oncogenic factor implicated in tumor progression, epithelial-mesenchymal transition (EMT), stemness, and metastasis. However, its pan-cancer expression and prognostic patterns, epigenetic activation, and relationship with malignant-cell stemness/plasticity and tumor microenvironment (TME) remodeling in pancreatic adenocarcinoma (PAAD) remain incompletely defined. This study aimed to systematically characterize HMGA1 across cancers and clarify its clinical and biological relevance in PAAD. METHODS: Pan-cancer transcriptomic, clinical, genetic, methylation, immune, and stemness data were integrated from multiple public databases. PAAD single-cell RNA sequencing data were analyzed to localize HMGA1 expression, infer malignant-cell pseudotime, calculate a stemness module score, and assess ligand-receptor communication using CellChat. Public HMGA1-knockdown RNA sequencing data were reanalyzed to evaluate transcriptional remodeling. The Cancer Genome Atlas (TCGA)-PAAD expression and methylation data were used to assess TME-remodeling, immune-suppression, stemness/plasticity, cytokine/chemokine, checkpoint, and promoter-methylation features. HMGA1 expression and function were further examined using immunohistochemistry (IHC), quantitative real-time polymerase chain reaction, Western blotting, wound-healing assays, and Transwell migration and invasion assays. RESULTS: HMGA1 was upregulated in most tumor types, and high expression was associated with unfavorable survival in multiple cancers, including PAAD. In PAAD, HMGA1 was enriched in malignant epithelial cells and positively correlated with pseudotime (Spearman's rho =0.594), while the stemness module score increased along pseudotime (rho =0.748). HMGA1-high malignant cells showed markedly stronger CellChat-inferred outgoing communication, predominantly involving extracellular matrix (ECM)-receptor, adhesion-related, and selected immunomodulatory ligand-receptor axes. HMGA1 knockdown was associated with broad remodeling of EMT, TGF-β, Hedgehog, IL6/JAK/STAT3, KRAS, and cancer stem cell/stemness-related programs rather than uniform suppression of these programs. HMGA1 promoter methylation was inversely correlated with HMGA1 expression (rho =-0.633) and the TME-remodeling score (rho =-0.347). HMGA1 was associated with selected mediators, including PPIA, PLAU, ANXA1, LGALS9, TGFB1, CD276, and CD47, but not with a generalized checkpoint-high phenotype. Functionally, HMGA1 knockdown significantly reduced pancreatic cancer (PC) cell migration and invasion. CONCLUSIONS: These findings support an association-based model in which promoter hypomethylation-associated HMGA1 activation is linked to malignant epithelial stemness/plasticity, ECM/adhesion-dominant TME remodeling, selected immunomodulatory programs, and aggressive PAAD phenotypes. Further mechanistic and clinical validation is required before HMGA1 can be used for therapeutic stratification or immunotherapy-response prediction.
HMGA1↗
[BRCA1 Gene's Mutations And Hereditary Breast Cancer: Genetic, Biological, And Clinical Aspects].
INTRODUCTION: Hereditary breast cancer accounts for approximately 5 to 10% of all breast cancer cases. Mutations in the BRCA1 gene, which plays a central role in DNA repair and cell cycle regulation, are the main cause of these familial forms and are strongly associated with aggressive subtypes, particularly triple-negative breast cancer. METHODS: A narrative literature review was conducted using biomedical databases (PubMed, Scopus, Web of Science, Google Scholar) between January 2024 and June 2025. Eligible publications addressed the genetic, biological, epidemiological, and clinical aspects of BRCA1 in hereditary breast cancer. RESULTS: BRCA1 ensures genomic stability through its roles in DNA repair, cell cycle checkpoints, and transcriptional regulation. Most mutations are truncating or missense variants, with some reported as founder mutations (e.g., c.68_69delAG, c.5266dupC, 943ins10). Women carrying germline BRCA1 mutations have an estimated lifetime risk of 56-87% of developing breast cancer, with a strong association with aggressive molecular subtypes, especially triple-negative breast cancer. CONCLUSION: A comprehensive understanding of BRCA1 mutations is crucial to enhance prevention, screening, and personalized management of hereditary breast cancer. In low-resource settings, the integration of genetic testing and counseling remains a major challenge and a public health priority to reduce disparities in cancer care.
Humans↗
A Case Report of a Pedigree with Distal Hereditary Motor Neuropathy Caused by a Homozygous c.1124G>A Variant an the /*9Vaccinia-Related Kinase 1 Gene.
This study aimed to analyze the clinical phenotypes, neurophysiological characteristics, and pathogenicity of gene variants in a pedigree with distal hereditary motor neuropathy (dHMN) caused by VRK1 variants, and to provide evidence to support clinical diagnosis and genetic counseling for this disease. We report a Chinese consanguineous family with dHMN caused by a homozygous c.1124G>A variant in the VRK1 gene. Clinical and electrophysiological data of the proband were collected. Whole-exome sequencing (WES) and validation by Sanger sequencing were performed to identify the variant site, and pathogenicity interpretation was conducted in accordance with American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines. The proband was a 24-year-old male who presented with 2 years of progressive weakness and atrophy of the distal lower limbs, accompanied by slender upper limbs and no sensory disturbance. Electrophysiological examination showed decreased compound muscle action potential (CMAP) amplitude in motor nerves of both upper and lower limbs, indicating peripheral neurogenic damage, while sensory nerve conduction was normal. Genetic testing detected a homozygous c.1124G>A (p.Trp375Ter) variant in the VRK1 gene. His parents and elder sisters were heterozygous carriers, and the pedigree conformed to autosomal recessive inheritance. According to ACMG guidelines, this variant was classified as pathogenic (evidence: PVS1, PM2, PP1). The homozygous VRK1 c.1124G>A variant causes adult-onset dHMN, rather than pontocerebellar hypoplasia type 1A (PCH1A) as annotated in some genetic databases. This pedigree presents distinctive phenotypes, including slender upper limbs and diffusely decreased CMAP amplitudes in both upper and lower limbs, thereby expanding the clinical and genetic spectrum of VRK1-related dHMN in the Chinese population.
Humans↗
Mapping the development pipeline of genomic point-of-care tests: a horizon scan.
INTRODUCTION: As precision medicine increasingly relies on genetic information, the development of reliable genomic point-of-care tests (POCTs) is essential. However, the number of technologies that have reached true clinical usability is limited. There is a growing need for POCTs that enable rapid, accurate analysis of human genetic variation, particularly across diverse clinical settings without requiring specialist expertise. AREAS COVERED: This horizon scan aimed to provide an overview of the development pipeline of POCTs to identify variation(s) in the genome and epigenome that enable the use of genetic information to inform diagnosis, prognosis, and treatment decisions in any clinical area. Database (Embase and MEDLINE) and clinical trial registry (ClinicalTrials.gov) searches were conducted from 2019 to 19 December 2024; 346 unique technologies were identified. EXPERT OPINION AND COMMENTARY: A range of purposes and conditions were identified; the most common being diagnosis (n = 263) and cancer (n = 237) respectively. We defined 'true POCTs' as those that were highly automated, capable of analyzing complex samples, and operable by non-specialists. Only 36 met these criteria; six are already on the market, one is in clinical trials, and the remaining 29 are at various stages of development. Overall, most technologies were in early stages of development, highlighting the need for further innovation and validation.
Point-of-care↗
Pharmacogenomic and drug interactions risk in cardio-oncology: A precision medicine perspective for India.
Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a considerable polypharmacy burden. This significantly increases the prospect of drug-drug interactions (DDIs) and gene-drug interactions. The majority of these interactions arise from comparable pharmacokinetic and pharmacological pathways associated with drug transporters and cytochrome P450 enzymes. The significance of pharmacogenomics in tailored treatment strategies are emphasised by the fact that genetic variability enhances individual differences in drug response, safety, and efficacy. This narrative review focus on the effects of key genetic polymorphisms (e.g., DPYD, CYP2C19, and CYP2C9) on the metabolism and efficacy of commonly prescribed anticancer and cardiovascular medications such as fluoropyrimidines, clopidogrel, and warfarin. In addition it explore the role of pharmacogenomic variants on drug-drug interactions within the field of cardio-oncology. The study ultimately emphasizes the necessity of precision medicine in India to address the genetic diversity and underrepresentation in global genomic databases. The absence of pharmacogenomic testing, infrastructural deficiencies, financial constraints, and insufficient clinical integration hinder the widespread use of this technology in India. The Genome India Project and other national initiatives establish the foundation for pharmacogenomic-guided therapy. Utilizing genetic data, together with artificial intelligence-based predictive tools, for clinical decision-making may enhance medication safety and yield optimal outcomes in Indian cardio-oncology patients.
Humans↗
Oncogenic EME1 promotes tumor progression and immune modulation in human cancers with therapeutic targeting potential.
BACKGROUND: EME1, a critical DNA repair endonuclease, has emerged as a potential oncogene implicated in genome instability and cancer progression. However, its pan-cancer roles, prognostic significance, immune interactions, and therapeutic targeting remain underexplored. METHODS: We conducted a comprehensive pan-cancer analysis integrating multi-omics data from public databases, including TIMER2.0, GEPIA2, TISIDB, and cBioPortal, to evaluate EME1 expression, genetic alterations, and their association with clinical outcomes, immune infiltration, and molecular pathways. Virtual screening of 3180 FDA-approved drugs and molecular dynamics (MD) simulations were employed to identify and validate potential EME1 inhibitors. RESULTS: EME1 was significantly overexpressed in various human cancers and positively associated with advanced tumor grade and stage. High EME1 expression and mutations were linked to poor overall and disease-free survival. Immunogenomic profiling revealed strong positive correlations between EME1 and myeloid-derived suppressor cells (MDSCs), alongside a negative association with endothelial cell function, suggesting immunosuppressive roles. Machine learning models based on EME1-associated genes demonstrated high predictive accuracy for liver hepatocellular carcinoma (AUC > 0.90). Virtual screening identified eight promising drug candidates, including Everolimus and Dioscin, with strong binding affinities. MD simulations confirmed the stability of these interactions, particularly for Dioscin. CONCLUSION: This study reveals the multifaceted oncogenic roles of EME1 in tumor progression, immune evasion, and prognosis. It proposes EME1 as a promising biomarker and therapeutic target across multiple cancer types. The identified drug candidates warrant further in vitro and in vivo validation for potential repurposing in EME1-targeted cancer therapy.
EME1↗
[Genetic and phenotypic analysis of three children with Neurodevelopmental disorders due to variants of DEAF1 gene].
OBJECTIVE: To explore the genetic characteristics and clinical phenotypes of three children with novel DEAF1 gene variants. METHODS: Three children who were referred to Capital Children's Medical Center Affiliated to Capital Medical University between January 2018 and December 2025 were selected as study subjects and underwent whole exome sequencing (WES). Candidate variants were verified by Sanger sequencing, and their pathogenicity was evaluated based on the guidelines from American College of Medical Genetics and Genomics (ACMG). A systematic search of databases including PubMed and CNKI was conducted to compile previously reported cases of DEAF1 variants for clinical phenotype comparison. For the non-canonical splice site variant c.870+5G>C located in the intronic region, wild-type and mutant minigene reporter vectors were constructed and transfected into HeLa and 293T cells, respectively, and the splicing patterns were analyzed by RT-PCR and Sanger sequencing. This study was approved by the Medical Ethics Committee of Capital Institute of Pediatrics (Ethics No.: SHERLL 2020001). RESULTS: All three children were found to have carried de novo heterozygous variants of the DEAF1 gene, including two missense variants (c.764G>A, c.641T>C) in the important SAND domain and a splice site variant (c.870+5G>C) in a non-canonical splicing region. The c.764G>A and c.870+5G>C variants were unreported previously. All children had presented with intellectual developmental delay, and two were accompanied by autism spectrum disorder, and two had epilepsy and sleep disorders. In vitro minigene splicing assay showed that the c.870+5G>C variant can lead to abnormal splicing. CONCLUSIONS: This study reported three children with novel DEAF1 variants, two of which have not been previously described, thereby enriched the mutational spectrum of the DEAF1 gene. In vitro functional assay combined with the clinical manifestations of the patients confirmed the pathogenicity of the non-canonical splice site variant in the intronic region.
Humans↗
Global prevalence of hereditary hemorrhagic telangiectasia-associated variants estimated by analysis of large-scale genomic databases.
BACKGROUND: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant disorder with an overwhelming hemorrhagic phenotype. It is mainly caused by variants in the ENG and ACVRL1 genes. HHT prevalence is currently estimated to be 1 in 5000 individuals, but the disease is likely underdiagnosed due to variable clinical presentation, misdiagnosis, and delayed recognition. OBJECTIVES: To estimate the global genetic prevalence of HHT-associated variants in ENG and ACVRL1. METHODS: We analyzed 3 large population-scale genomic databases: gnomAD, All of Us, and Regeneron Genetics Center-Million Exome. We considered known pathogenic and likely pathogenic variants of ENG and ACVRL1 and extended the analysis to potentially pathogenic variants passing the pathogenic criteria established by the guidelines for HHT of the American College of Medical Genetics and Genomics/Association for Molecular Pathology. RESULTS: The genetic prevalence of HHT ranged from 1.753 to 2.555 in 5000 individuals, when considering only pathogenic and likely pathogenic variants, and from 2.874 to 4.327 in 5000 individuals, when also potentially pathogenic variants were considered. CONCLUSION: This study assesses the prevalence of HHT-associated variants in the general population. Our unbiased approach demonstrates that the genetic prevalence of the disease is substantially higher than currently estimated.
Humans↗