Three Steps Novel Machine Learning Method Classifies Uncertain MEFV Gene Variants DOI Creative Commons
Mustafa Tarık Alay, İbrahim Demir, Murat Ki̇ri̇şçi̇

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: July 20, 2023

Abstract Introduction: The International Study Group for Systemic Autoinflammatory Diseases (INSAID) consensus criteria revealed that the clinical outcomes of more than half MEFV gene variants are uncertain. In this study, we estabilished a novel approach accurate classification by using optimal number amino acid prediction scores and machine-learning algorithms. Our goal was to determine while also reducing uncertainties. Material-Methods: We extracted from infevers database ,and point mutations were included, others excluded study. then determined in silico instruments our model. On training dataset, implemented seven machine learning algorithms on with known effects. evaluated effectiveness model three steps: First, performed dataset those accuracy greater 90 percent. Second, compared results existing studies. Third, functional level. Results included 266 381 four computational tools algorithm classified Likely pathogenic (LP) an 96.6% classifying 97.6% Benign (LB) variants. Among methods used classify variants, method yielded most datasets. Most predictors LB higher 90% however, LP showed wide range variety between 2% − 62.5%. Disease-causing frequently located domains. Functional level evaluation compatible results. Discussion comparison indicated variant is biggest problem classification, might be candidate solving 96.67% accuracy. Considering 60% effects unresolved, evaluating conjunction manifestations patients significantly simplifies interpretation unknown

Language: Английский

The Genetics of Tuberous Sclerosis Complex and Related mTORopathies: Current Understanding and Future Directions DOI Open Access
Alice Man, Matteo Di Scipio,

Shan Grewal

et al.

Genes, Journal Year: 2024, Volume and Issue: 15(3), P. 332 - 332

Published: March 4, 2024

The mechanistic target of rapamycin (mTOR) pathway serves as a master regulator cell growth, proliferation, and survival. Upregulation the mTOR has been shown to cause malformations cortical development, medically refractory epilepsies, neurodevelopmental disorders, collectively described mTORopathies. Tuberous sclerosis complex (TSC) prototypical mTORopathy. Characterized by development benign tumors in multiple organs, pathogenic variants TSC1 or TSC2 disrupt TSC protein complex, negative pathway. Variants critical domains especially catalytic subunit, correlate with increased disease severity. less crucial exons non-coding regions, well those undetectable conventional testing, may lead milder phenotypes. Despite assumption complete penetrance, expressivity varies within families, certain delay onset neurological effects. Understanding these genotype–phenotype correlations is for effective clinical management. Notably, 15% patients have no mutation identified genetic majority cases postulated be caused somatic TSC1/TSC2 which present diagnostic challenges. Advancements prenatal screening, precision medicine hold promise changing treatment paradigm related Herein, we explore molecular mechanisms other mTORopathies, emphasizing contemporary methods understanding diagnosing condition.

Language: Английский

Citations

18

Somatic DNA Variants in Epilepsy Surgery Brain Samples from Patients with Lesional Epilepsy DOI Open Access
Jana Marie Schwarz, Lena‐Luise Becker,

Monika Wahle

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(2), P. 815 - 815

Published: Jan. 19, 2025

Epilepsy affects 50 million people worldwide and is drug-resistant in approximately one-third of cases. Even when a structural lesion identified as the epileptogenic focus, understanding underlying genetic causes crucial to guide both counseling treatment decisions. Both somatic germline DNA variants may contribute itself and/or influence severity symptoms. We therefore used whole exome sequencing (WES) search for potentially pathogenic brain samples from children with lesional epilepsy who underwent surgery. WES was performed on 20 paired extracted tissue reference same patient, such leukocytes or fibroblasts. The data were jointly analyzed using GATK Mutect2 identify single nucleotide (SNVs) insertions/deletions (InDels), which subsequently evaluated silico their disease-causing potential MutationTaster2021. known five patients (25%) variant allele frequencies (VAF) ranging 3–35% genes MTOR, TSC2, PIK3CA, FGFR1, PIK3R1 cortical malformations central nervous system (CNS) tumors. Depending VAF, we different methods Sanger sequencing, allele-specific qPCR, targeted ultra-deep (amplicon sequencing) confirm variant. In contrast usually straightforward confirmation variants, validation more challenging because current have limitations sensitivity, specificity, cost-effectiveness. our study, additional candidates VAFs 0.7–7.0% that could not be validated by an orthogonal method. This highlights importance validation, especially those very low frequencies.

Language: Английский

Citations

1

Brain somatic mosaicism in epilepsy: Bringing results back to the clinic DOI Creative Commons
Alissa M. D’Gama, Annapurna Poduri

Neurobiology of Disease, Journal Year: 2023, Volume and Issue: 181, P. 106104 - 106104

Published: March 25, 2023

Over the past decade, there has been tremendous progress in understanding brain somatic mosaicism epilepsy research setting. Access to resected tissue samples from patients with medically refractory undergoing surgery key making these discoveries. In this review, we discuss gap between discoveries setting and bringing results back clinical Current genetic testing mainly uses clinically accessible samples, like blood saliva, can detect inherited de novo germline variants potentially non-brain-limited mosaic that have resulted post-zygotic mutation (also called "somatic mutations"). Methods developed brain-limited using need be further translated validated setting, which will allow post-resection diagnoses. However, obtaining a diagnosis after for focal epilepsy, when are available, is arguably "too late" guide precision management. Emerging methods cerebrospinal fluid (CSF) stereoelectroencephalography (SEEG) electrodes hold promise establishing diagnoses pre-resection without actual tissue. parallel, development of curation rules interpreting pathogenicity variants, unique considerations compared assist accredited laboratories geneticists Returning their families end diagnostic odyssey advance

Language: Английский

Citations

21

Assessment of gene–disease associations and recommendations for genetic testing for somatic variants in vascular anomalies by VASCERN-VASCA DOI Creative Commons
Nicole Revençu, Astrid Eijkelenboom, Claire Bracquemart

et al.

Orphanet Journal of Rare Diseases, Journal Year: 2024, Volume and Issue: 19(1)

Published: May 22, 2024

Vascular anomalies caused by somatic (postzygotic) variants are clinically and genetically heterogeneous diseases with overlapping or distinct entities. The genetic knowledge in this field is rapidly growing, testing now part of the diagnostic workup alongside clinical, radiological histopathological data. Nonetheless, access to still limited, there significant heterogeneity across approaches used laboratories, direct consequences on test sensitivity accuracy. clinical utility expected increase progressively improved theragnostics, which will be based information about efficacy safety emerging drugs future molecules. aim study was make recommendations for optimising guiding patients vascular malformations. Physicians lab specialists from 11 multidisciplinary European centres reviewed genes identified date as being involved non-hereditary malformations, evaluated gene-disease associations, made technical aspects identification low-level mosaicism variant interpretation. A core list 24 were selected current practices participating ISSVA classification literature. In total 45 gene-phenotype associations evaluated: 16 considered definitive, strong, 3 moderate, 7 limited no evidence. This work provides a detailed evidence-based view malformations variants. Knowing both relationships strength greatly help laboratories data interpretation eventually diagnosis. reflects state mid-2023 regularly updated VASCERN-VASCA website (VASCERN-VASCA, https://vascern.eu/groupe/vascular-anomalies/ ).

Language: Английский

Citations

5

Modified Hard Voting Classifier Implementation on MEFV Gene Variants Increases in Silico Tool Performance: A Novel Approach for Small Sample Size DOI Open Access
Mustafa Tarık Alay, İbrahim Demir, Murat Ki̇ri̇şçi̇

et al.

Journal of Intelligent Systems Theory and Applications, Journal Year: 2025, Volume and Issue: 8(1), P. 35 - 46

Published: March 13, 2025

Objective: There are a limited number of pathogenic variants known in the MEFV gene. In silico tools fail to classify many gene variants. Therefore, it is essential implement novel approaches. Our goal develop new strategy solve even classification problem while improving variant prediction accuracy using small datasets. Material - methods: First, we determined optimal computational for model. We then applied eight distinct ML algorithms on training dataset containing tools. initiated application modified hard voting machine learning algorithms, and validation dataset. Subsequently, implemented comparative analysis between results existing studies. Finally, evaluated protein level ascertainment identify hotspot regions. Results: The ensemble classifier scored an average ROCAUC 88%. method correctly classified all with 82% accuracy, outperforming both soft (75%) (70%) methods. showed that prevalence LP was approximately 2.5 times higher domains compared LB variants(χ2: 13.574, p < 0.001, OR: 2.509 [1.532-4.132]). Conclusion: Considering understanding clinical implications associated mutations, employing approach may improve

Language: Английский

Citations

0

Genetic testing in children enrolled in epilepsy surgery program. A real-life study DOI
Barbora Straka, Barbora Splítková, Markéta Vlčková

et al.

European Journal of Paediatric Neurology, Journal Year: 2023, Volume and Issue: 47, P. 80 - 87

Published: Oct. 5, 2023

Language: Английский

Citations

9

Modified Rules for Classification of Variants Associated With Disorders of Somatic Mosaicism DOI Open Access
Fernando Zazueta Leon‐Quintero,

Kevin M. Bowling,

Alexa Dickson

et al.

Clinical Genetics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

ABSTRACT Disorders of somatic mosaicism (DoSMs) are rare genetic disorders arising from postzygotic alteration leading to segmental/nonsegmental disease. Current professional guidelines for standardized variant interpretation focus on germline and cancer variants, making them suboptimal DoSM interpretation. The Brain Malformations Variant Curation Expert Panel (BMVCEP) modified existing account brain‐specific mosaicism, but applicability other presentations is limited. At Washington University in St. Louis School Medicine, we have adopted the BMVCEP framework suggested alterations that make it more suitable generalized classification. These modifications include (1) expanding beyond genes associated with brain malformations, (2) introduction a criterion interpret truncating variants at C‐terminus gain function genes, (3) establishment allele fraction (VAF) cutoff applying de novo criteria, (4) demonstration silico prediction tools relevant missense variants. Furthermore, reduce number classified as uncertain. classification considerations propose potential improve accuracy classification, better inform clinical care, may benefit laboratories also conducting testing.

Language: Английский

Citations

3

Somatic variant analysis of resected brain tissue in epilepsy surgery patients DOI Creative Commons
Maurits Sanders, Bobby P.C. Koeleman, Eva H. Brilstra

et al.

Epilepsia, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

We studied the distribution of germline and somatic variants in epilepsy surgery patients with (suspected) malformations cortical development (MCD) who underwent between 2015 2020 at University Medical Center Utrecht (the Netherlands) pooled our data four previously published cohort studies. Tissue analysis yielded a pathogenic variant 203 663 (31%) combined cases. In 126 379 (33%) focal dysplasia (FCD) type II cases 23 37 (62%) hemimegalencephaly cases, was identified, mostly involving mTOR signaling pathway. Pathogenic 10 genes were found 48 178 (27%) FCDI/mild MCD/mMCD oligodendroglial hyperplasia cases; 36 these (75%) SLC35A2 variants. Six 69 (9%) without histopathological lesion had (n = 5) or DEPDC5 1). A blood DNA confirmed all tissue, allele frequency (VAF) ~50%. seven 114 (6%) mosaicism detected. More than half VAF < 5%. Further correlation genetic surgical outcomes will improve patient counseling may guide postoperative treatment decisions.

Language: Английский

Citations

3

Clinical phenotype of the PIK3R1-related vascular overgrowth syndrome DOI
Paul Kuentz, Camille Engel,

Mathieu Laeng

et al.

British Journal of Dermatology, Journal Year: 2024, Volume and Issue: 191(2), P. 303 - 305

Published: April 16, 2024

Here we report 19 additional patients with PIK3R1 mosaic variants clinical phenotyping, showing that the phenotype is indistinguishable from PIK3CA-related phenotypes, although megalencephaly-capillary malformation consistently absent in variants. We also novel consider meaning of PROS should shift ‘PIK3CA-related overgrowth spectrum’ to ‘PI3-kinase-related spectrum’.

Language: Английский

Citations

2

Evaluation of Bayesian Point-Based System on the Variant Classification of Hereditary Cancer Predisposition Genes DOI
Mohammad K. Eldomery, Jamie L. Maciaszek,

Taylor Cain

et al.

Genetics in Medicine, Journal Year: 2024, Volume and Issue: 26(12), P. 101276 - 101276

Published: Sept. 19, 2024

Language: Английский

Citations

2