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PubMed2026

Analysis of APC promoter 1B deletions in Russian families with familial adenomatous polyposis.

OBJECTIVE: Familial adenomatous polyposis (FAP) is a severe autosomal dominant hereditary cancer syndrome. Patients develop hundreds of adenomatous polyps throughout the colon with the risk of colorectal cancer, if untreated, approaching 100%. FAP is caused by pathogenic germline variants in the APC gene. Deletions in the APC 1B promoter cause FAP in a small subgroup of patients. Previous studies suggested that the APC promoter deletions in unrelated FAP patients from the US and Italy are identical and may thus have spread from a single founder. The aim of this study was to investigate whether a similar founder effect can be detected in the Russian population. PATIENTS AND METHODS: We performed whole-genome sequencing on five unrelated patients (three males and two females) with extensive (over 100) colon polyps, family history of FAP, and germline APC 1B promoter deletions previously detected by the multiplex ligation-dependent probe amplification (MLPA) and detected precise deletion boundaries. RESULTS: The patients carried deletions in the APC 1B promoter ranging from ~3 to ~122 kbp. We found no association between the deletion size and either the age of the onset or severity of the disease. All deletions were unique and no identical deletion boundaries were observed. However, in four patients, the right deletion breakpoints fell into a 1 kbp region downstream of the 1B promoter. The right breakpoints of several deletions detected in FAP patients from other countries also fell into this narrow region. CONCLUSION: The APC 1B promoter deletions analyzed in this study had arisen independently and there is thus no evidence of a founder effect. Therefore, at least for the cohort of FAP patients with APC 1B promoter deletions studied here, WGS did not provide an added diagnostic benefit to MLPA aside from precisely determining the deletion breakpoints.

APC promoter 1B deletion↗

PubMed2026

Long-read sequencing resolves complex CYP21A2 variants and identifies 2+0 carriers in 21-hydroxylase deficiency.

The complex CYP21A2 variants arising from high homology with its pseudogene CYP21A1P challenge the diagnosis of 21-hydroxylase deficiency (21-OHD). This study systematically evaluated long-read sequencing (LRS) for identifying complex structural variants of the CYP21A2 gene in 21-OHD in comparison with conventional molecular diagnostic methods, including multiplex ligation-dependent probe amplification (MLPA), CNVplex, and SNaPshot. Twenty patients with suspected 21-OHD and defined CYP21A2 structural variants identified via initial MLPA screening were enrolled. Variants were further analyzed using CNVplex and SNaPshot, then all samples underwent LRS for comprehensive variant detection, breakpoint mapping, and haplotype resolution. LRS overcame key limitations of conventional methods. It reliably identified a novel large-fragment deletion and defined its boundaries. Notably, LRS identified "2+0" carriers, where deletions masked by duplications cause false-negatives with standard techniques. Moreover, LRS accurately distinguished CYP21A1P/CYP21A2_CH-4 and CH-9 chimera subtypes which were indistinguishable by the combined conventional assays. Furthermore, LRS enabled the precise identification and characterization of TNXA/TNXB chimeric deletions. These are frequently misclassified as CYP21A1P/CYP21A2 chimeras by conventional methods but are critical for diagnosing associated conditions such as CAH-X syndrome. LRS provides a superior, integrated solution for the molecular diagnosis of 21-OHD, offering precise structural variant characterization, accurate carrier detection, and reliable breakpoint mapping. Its application enhances diagnostic accuracy, supports advanced genetic counseling, and paves the way for genotype-informed clinical management.

Journal Article↗

PubMed2025

Identification of maternal Gγ(Aγδβ)0 thalassemia through retrospective reanalysis of prenatal cfDNA sequencing data.

OBJECTIVE: Non-invasive prenatal screening (NIPS) is widely used to detect chromosomal abnormalities such as trisomies 21, 13, and 18 and is also effective in screening for copy number variations (CNVs). However, the routine application of NIPS to detect smaller CNVs within the HBB gene, specifically Gγ(Aγδβ)0 thalassemia, has yet to be well documented. This study aims to evaluate the efficacy of cfDNA-based maternal carrier screening in routine screening for Gγ(Aγδβ)0 thalassemia. METHODS: We performed a retrospective analysis of 107,300 pregnant women who underwent NIPS at Longgang Maternal and Child Healthcare Hospital in Shenzhen from December 2017 to May 2022. Using an improved algorithm, we reanalyzed NIPS data to identify maternal Gγ(Aγδβ)0 thalassemia. Positive cases were confirmed by multiplex ligation-dependent probe amplification (MLPA) using peripheral blood leukocytes. RESULTS: Among the 107,300 NIPS analyses, 38 maternal deletion CNVs within the HBB gene were identified using the improved algorithm, with a prevalence of 0.035% (38/107,300). MLPA confirmed that all detected deletions were consistent with Gγ(Aγδβ)0 thalassemia. The positive predictive value (PPV) for detecting Gγ(Aγδβ)0 thalassemia by cfDNA-based maternal carrier screening was 100%. Among the 38 Gγ(Aγδβ)0 cases, 9 were also associated with α-thalassemia deletions, including 4 cases with -SEA/αα, 4 with -α3.7/αα, and 1 with -α4.2/αα. No cases of homozygosity or compound HBB gene variants were observed. CONCLUSIONS: Gγ(Aγδβ)0 thalassemia is not uncommon in China, and repurposed NIPS methodology for maternal genomic analysis in detecting HBB gene deletions is a reliable method for identifying maternal carriers of this disease.

Humans↗

PubMed2025

CNV-Finder: Streamlining Copy Number Variation Discovery.

Copy Number Variations (CNVs) play pivotal roles in the etiology of complex diseases and are variable across diverse populations. Understanding the association between CNVs and disease susceptibility is significant in disease genetics research and often requires analysis of large sample sizes. One of the most cost-effective and scalable methods for detecting CNVs is based on normalized signal intensity values, such as Log R Ratio (LRR) and B Allele Frequency (BAF), from Illumina genotyping arrays. In this study, we present CNV-Finder, a novel pipeline integrating deep learning techniques on array data, specifically a Long Short-Term Memory (LSTM) network, to expedite the large-scale identification of CNVs within predefined genomic regions. This facilitates efficient prioritization of samples for time-consuming or costly subsequent analyses such as Multiplex Ligation-dependent Probe Amplification (MLPA), short-read, and long-read whole genome sequencing. We incorporate four genes to establish our methods-Parkin (PRKN), Leucine Rich Repeat And Ig Domain Containing 2 (LINGO2), Microtubule Associated Protein Tau (MAPT), and alpha-Synuclein (SNCA)-which may be relevant to neurological diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Progressive Supranuclear Palsy (PSP), or related disorders such as essential tremor (ET). By training our models on expert-annotated samples and validating them across diverse cohorts, including those from the Global Parkinson's Genetics Program (GP2) and additional dementia-specific databases, we demonstrate the efficacy of CNV-Finder in accurately detecting deletions and duplications. Our pipeline outputs app-compatible files for visualization within CNV-Finder's interactive web application. This interface enables researchers to review predictions and filter displayed samples by model prediction values, LRR range, and variant count in order to explore or confirm results. Our pipeline integrates this human feedback to enhance model performance and reduce false positive rates. Through a series of comprehensive analyses and validations using visual inspection, MLPA, short-read, and long-read sequencing data, we demonstrate the robustness and adaptability of CNV-Finder in identifying CNVs with regions of varied size, probe density, and noise. Our findings highlight the significance of contextual understanding and human expertise in enhancing the precision of CNV identification, particularly in complex genomic regions like 17q21.31. The CNV-Finder pipeline is a scalable, publicly available resource for the scientific community, available on GitHub (https://github.com/GP2code/CNV-Finder; DOI 10.5281/zenodo.14182563). CNV-Finder not only expedites accurate candidate identification but also significantly reduces the manual workload for researchers, enabling future targeted validation and downstream analyses in regions or phenotypes of interest.

Copy Number Variation (CNV)↗

PubMed2026

Copy number variants in BRCA1 and BRCA2 genes in Polish patients with breast and ovarian cancer.

PURPOSE: BRCA1 and BRCA2 are key susceptibility genes in hereditary breast and ovarian cancer (HBOC), with mutational status guiding PARP inhibitor therapy. While single-nucleotide variants (SNVs) predominate, the prevalence of copy number variants (CNVs) varies significantly across different populations. This study aims to determine the incidence of BRCA1/2 CNVs in the Polish population, where data remain scarce due to non-mandatory CNV testing. METHODS: We retrospectively analysed the results of genetic tests assessing the presence of BRCA1/2 CNVs performed in 2720 individuals tested at the Lower Silesian Oncology Centre (2021-2024), including 2702 breast/ovarian cancer patients and 18 unaffected relatives. The mean age was 54.7 ± 15.15 years. Genetic testing involved DNA extraction, NGS, and MLPA for CNV confirmation. Variants were classified according to ACMG-AMP guidelines and verified through independent testing. RESULTS: In this study, no BRCA2 CNVs were identified, consistent with previous Central European findings. Pathogenic BRCA1 CNVs were detected in 0.85% of the analyzed cohort and in 0.52% of the cancer patient subgroup, affecting 23 individuals from 13 families. Eight distinct BRCA1 CNVs were detected, the most common being exon 21 deletion. Affected families exhibited a high incidence of HBOC-related cancers, with early-onset breast cancer and a notable proportion of triple-negative breast cancer cases. CONCLUSIONS: This study highlights the clinical significance of BRCA1 CNVs in Polish patients with HBOC-spectrum cancers and their families. Although rare, these variants were associated with aggressive cancer phenotypes and early onset. Given their diagnostic and therapeutic implications, BRCA1 CNVs should be routinely analysed in high-risk families to ensure accurate detection and personalised treatment planning.

Humans↗

PubMed2024

Identifying inversions with breakpoints in the Dystrophin gene through long-read sequencing: report of two cases.

BACKGROUND: Duchenne Muscular Dystrophy (DMD) is an X-linked disorder caused by mutations in the DMD gene, with large deletions being the most common type of mutation. Inversions involving the DMD gene are a less frequent cause of the disorder, largely because they often evade detection by standard diagnostic methods such as multiplex ligation probe amplification (MLPA) and whole exome sequencing (WES). CASE PRESENTATION: Our research identified two intrachromosomal inversions involving the dystrophin gene in two unrelated families through Long-read sequencing (LRS). These variants were subsequently confirmed via Sanger sequencing. The first case involved a pericentric inversion extending from DMD intron 47 to Xq27.3. The second case featured a paracentric inversion between DMD intron 42 and Xp21.1, inherited from the mother. In both cases, simple repeat sequences (SRS) were present at the breakpoints of these inversions. CONCLUSIONS: Our findings demonstrate that LRS is an effective tool for detecting atypical mutations. The identification of SRS at the breakpoints in DMD patients enhances our understanding of the mechanisms underlying structural variations, thereby facilitating the exploration of potential treatments.

Humans↗

PubMed2026

Whole-exome sequencing-centered genetic evaluation for early-onset obesity in Chinese children: a retrospective single-center cohort.

BACKGROUND: Genetic causes of early-onset obesity remain undercharacterized in East Asian children. This study evaluated a whole-exome sequencing (WES)-centered diagnostic workflow in Chinese children with obesity onset before 5 years. METHODS: Consecutive children with body mass index above the 95th percentile and obesity onset before 5 years who completed structured inpatient assessment at a single center between February 2022 and December 2023 were retrospectively analyzed. Phenotyping included clinical, biochemical, oral glucose tolerance, cortisol rhythm, and liver assessments. Genetic testing combined WES, mitochondrial DNA analysis, multiplex ligation-dependent probe amplification (MLPA) for obesity-related imprinting loci, WES-based copy-number variant and runs-of-homozygosity analyses, and Sanger validation. Variants were interpreted according to the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria. RESULTS: Among 23 children, clinically relevant genetic findings were identified in 6 (26.1%): melanocortin-4 receptor (MC4R) c.831T>A (p.C277*), maternal uniparental disomy of 15q11-13, and four phenotype-correlated variants of uncertain significance in UCP3, BBS1, NCOA1, and SH2B1. The definitive/likely diagnostic yield, restricted to pathogenic or confirmed imprinting findings, was 8.7% (2/23). Findings involved leptin-MC4R signaling, BBSome function, fatty-acid oxidation, and chromosomal imprinting. Genetically positive children showed numerically higher alanine aminotransferase (ALT) and aspartate aminotransferase (AST), but differences were not statistically significant. BBS1 p.T374S was relatively enriched in East Asian reference data. CONCLUSIONS: A WES-centered integrated workflow detected heterogeneous genetic mechanisms in Chinese children with early-onset obesity, but variant of uncertain significance (VUS)-associated findings should be distinguished from confirmed diagnoses. Orthogonal methylation/MLPA and runs of homozygosity (ROH) analyses were necessary for imprinting diagnosis. Larger multicenter studies and functional validation are needed.

Chinese children↗

PubMed2026

Molecular diagnosis of spinal muscular atrophy: Experience in a pediatric hospital in Argentina.

Introduction. Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease caused by the loss of the SMN1 gene, with a variable clinical spectrum determined primarily by the number of copies of the SMN2 gene. The development of new therapies underscores the importance of early molecular diagnosis and genotype-phenotype characterization. Objective. To describe 27 years of experience in the molecular diagnosis of SMA at a pediatric referral hospital in Argentina and to evaluate the correlation between SMN2 copy number and the SMA types.Population and methods. A retrospective descriptive study was conducted on 1060 pediatric patients with clinically suspected SMA who were evaluated between 1997 and 2024. Molecular diagnosis was performed using PCR-RFLP and, since 2012, MLPA to determine SMN1 and SMN2 copy number. Genotype-phenotype correlation was evaluated in 260 patients with complete clinical characterization. Results. The diagnosis was confirmed in 513 patients. A homozygous deletion of the SMN1 gene was detected in 99.6% of unrelated cases. The positivity rate increased over time. A significant correlation was observed between the number of SMN2 copies and the type of SMA, with milder phenotypes associated with a higher number of copies. Conclusion. Molecular diagnosis of SMA enabled accurate and timely characterization of patients, avoiding invasive procedures and optimizing therapeutic decision-making. Genotype-phenotype correlation is a fundamental tool for prognosis and clinical management, highlighting the importance of an interdisciplinary approach.

Argentina↗

PubMed2025

The genetic changes in 11p15.5-related pheochromocytomas and paragangliomas.

Pheochromocytomas and paragangliomas (PPGLs) are neuroendocrine tumors. The development of these tumors is associated with more than 20 genes. The aforementioned genes are subdivided into three clusters. The pseudohypoxic, kinase-signaling and Wnt clusters. The pseudohypoxic cluster is the only one that has been demonstrated to be associated with DNA methylation changes, including alterations in the 11p15.5 region. The objective of this study was to identify alterations in the 11p15.5 region, ascertain their prevalence in PPGLs, and subsequently compare them with the genomic and somatic mutations that cluster PPGLs. One hundred and fifty tumor samples were subjected to analysis. A total of 90 cases (60%) exhibited no alterations in the 11p15.5 region. The most prevalent alterations were maternal allele loss, observed in 45 cases (30%), pUPD (paternal uniparental disomy) in five cases (3.33%), and paternal allele gain in four cases (2.67%). The data presented here suggest that two mechanisms may be involved in the formation of PPGLs. These are reduced expression of CDKN1C (maternal allele deletion) and overexpression of IGF2 (pUPD, paternal allele gain). A statistically significant difference was observed in the frequency of alterations in the 11p15.5 region when comparing cluster 1 and cluster 2 (P-value <0.0001). This study is the first to describe pUPD and paternal allele gain as somatic alterations in PPGLs. In addition, our findings indicate that alterations in the 11p15.5 region are not exclusive to cluster 1. Consequently, the alterations in the 11p15.5 region cannot be regarded as a marker for cluster 1.

Humans↗