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[Uncovering the features of population genetic structures by the descriptive method of "genetic landscape"].

It was found that using surnames as genetical markers in rural Russian populations gives adequate results under conditions of working on the area not extending over the territory of 2 or 3 adjacent regions. Schematic drawings of genetic landscapes in 4 regions of the Kirov district and in 2 regions of the Adyg district are presented. Analysis of anomalous features of equidistant lines has been performed.

Genetics, Population

Genetic landscape of pediatric seizures in Southeast China: identification of a novel GLI3 frameshift variant through whole-exome sequencing.

BACKGROUND: Pediatric seizure disorders are clinically and genetically heterogeneous. Whole-exome sequencing has improved the detection of rare genetic variants in childhood epilepsy; however, data from pediatric populations in Southeast China remain limited. This study aimed to characterize the genetic landscape of pediatric seizure disorders in Southeast China and to evaluate the clinical diagnostic yield of whole-exome sequencing. MATERIALS AND METHODS: This retrospective observational study included 21 pediatric patients with seizure disorders who were recruited at the Fifth Hospital of Xiamen, Fujian, China, between January 2021 and June 2024. Clinical data were extracted from medical records. Whole-exome sequencing was performed on DNA extracted from peripheral blood. Sequence variants were annotated, filtered, and classified according to the guidelines of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Copy-number variants were evaluated using exome-based algorithms. Descriptive statistics were used because of the limited sample size. RESULTS: WES identified three clinically relevant, likely pathogenic findings in 3 of 21 patients, corresponding to a provisional diagnostic yield of 14.3%. The remaining 62 of 65 variants were of uncertain significance (VUS). The three retained variants included a GLI3 frameshift variant (exon 2: c.90_91insCAGATGTGAGC; p.Glu31Glnfs*3) and two copy-number variants (16p13.12-16p13.11 duplication and Xp22.31 deletion) with established clinical significance. Functional analysis of all 65 variants revealed that ion channel genes and neurodevelopmental genes were the most frequently affected categories. CONCLUSION: Whole-exome sequencing identified clinically relevant genetic findings in a subset of Southeast Chinese children with seizure disorders. The novel GLI3 frameshift variant may suggest an expansion of the GLI3-associated phenotypic spectrum, but further segregation, functional validation, and larger cohort studies are needed. The high proportion of variants of uncertain significance highlights the ongoing challenges of genetic interpretation in pediatric seizure disorders.

GLI3 frameshift variant

Unraveling the complex genetic landscape of OTOF-related hearing loss: a deep dive into cryptic variants and haplotype phasing.

BACKGROUND: Pathogenic variants in OTOF are a major cause of auditory synaptopathy. However, challenges remain in interpreting OTOF variants, including difficulties in confirming haplotype phasing using traditional short-read sequencing (SRS) due to the large gene size, the potential incomplete penetrance of certain variants, and difficulties in assessing variants at non-canonical splice sites. This study aims to revisit the genetic landscape of OTOF variants in a Taiwanese non-syndromic auditory neuropathy spectrum disorder (ANSD) cohort using a combination of sequencing technologies, predictive tools, and experimental validations. METHODS: We performed SRS to analyze OTOF variants in 65 unrelated Taiwanese patients diagnosed with non-syndromic ANSD, complemented by long-read sequencing (LRS) for haplotype phasing. A prediction-to-validation pipeline was implemented to assess the pathogenicity of cryptic variants using SpliceAI software and minigene assays. RESULTS: Biallelic pathogenic OTOF variants were identified in 33 patients (50.8%), while monoallelic variants were found in five patients. Three novel variants, c.3864G > A (p.Ala1288 =), c.4501G > A (p.Ala1501Thr), and c.5813 + 2T > C, were detected. The pathogenicity of two non-canonical mis-splicing variants, c.3894 + 5G > C and c.3864G > A (p.Ala1288 =), was confirmed by minigene assays. LRS-based haplotype phasing revealed that the common missense variant c.5098G > C (p.Glu1700Gln) and the novel variant c.5975A > G (p.Lys1992Arg) are in cis and form a founder pathogenic allele in the Taiwanese population. CONCLUSIONS: Our study highlights the genetic heterogeneity of DFNB9 and emphasizes the importance of population-specific variant interpretation. The integration of advanced sequencing technologies, predictive algorithms, and functional validation assays will improve the accuracy of molecular diagnosis and inform personalized treatment strategies for individuals with DFNB9.

Humans

Peruvian Population Genomics: Unraveling the Genetic Landscape and Admixture Dynamics of Urban Populations.

Latin American populations exhibit high genetic and phenotypic diversity shaped by complex admixture histories, yet remain underrepresented in genomic research. Here, we analyze genome-wide data from 432 urban individuals across 13 regions of Peru, including 346 newly genotyped from the Peruvian Genome Project. We revealed fine-scale population structure and demographic patterns shaped by both ancient and recent events. Indigenous American ancestries in urban individuals trace back to ancient north-south interactions consisted with archaeological records, while admixture events occurring within the last 8-10 generations involved sources already admixed between distinct ancestral lineages. Identity-by-descent analyses reveal sustained gene flow in southern Peru, while effective population size trends highlight demographic stability in Lima over the past 25 generations. Sex-biased admixture patterns suggest Indigenous ancestry contribution preferentially mediated by females. These findings offer a comprehensive view of Peru's genetic heritage, advancing our understanding of human genetic diversity and historical demographic processes in Latin America.

Admixture

Divergent autoimmune genetic landscapes in diabetic and non-diabetic individuals.

BACKGROUND: Type 2 diabetes (T2D) and autoimmune diseases are complex disorders shaped by genetic, immunological, and environmental factors. However, differences in genetic susceptibility to autoimmune disorders between diabetic and non-diabetic individuals remain poorly understood, particularly within the Indian population. This study aimed to compare polygenic susceptibility to multiple autoimmune diseases between individuals with and without T2D from Gujarat, India. RESULTS: Polygenic risk scores were evaluated for eleven autoimmune diseases in 474 individuals, including 99 diabetics and 375 non-diabetics. Significant differences were observed for systemic lupus erythematosus and rheumatoid arthritis. Individuals with diabetes showed a higher genetic risk for systemic lupus erythematosus, whereas non-diabetic individuals exhibited a higher genetic risk for rheumatoid arthritis. Pathway enrichment analysis of disease-associated genetic variants revealed significant involvement of immune-related pathways, including antigen processing and presentation, T-helper cell differentiation, and immune responses to viral infections. CONCLUSIONS: The findings reveal disease-specific differences in genetic susceptibility to autoimmune disorders between diabetic and non-diabetic individuals. These results highlight the complex immunogenetic relationship between type 2 diabetes and autoimmune diseases and provide insight into shared and distinct immune pathways within an Indian population. Such information may support future efforts in risk stratification and precision medicine approaches for immune-related comorbidities in diabetes.

Humans

A Common CD36 Variant and the Genetic Landscape of Dilated Cardiomyopathy in Individuals of African Ancestry.

IMPORTANCE: Dilated cardiomyopathy (DCM) is a major cause of heart failure that disproportionately affects individuals of African genetic ancestry (AFR), among whom familial clustering of disease is also more pronounced relative to those of European ancestry (EUR). However, established monogenic DCM genes, identified primarily in EUR populations, explain a smaller proportion of DCM cases in AFR populations. A recent study identified a common AFR-specific nonsense variant in CD36 that accounts for a substantial burden of DCM in AFR. How the risk and population impact of this variant compare with those of established genetic causes of DCM is unknown. OBJECTIVE: To compare the contribution of a CD36 nonsense variant to DCM risk with that of truncating variants in TTN and pathogenic or likely pathogenic (P/LP) variants in other established DCM genes. DESIGN SETTING AND PARTICIPANTS: Multicohort genetic association study including AFR and EUR participants with exome or genome sequence and DCM case status from four datasets: All of Us, Million Veteran Program, Penn Medicine Biobank, and the DCM Precision Medicine Study. EXPOSURE: Carrier status for TTN truncating variants, P/LP variants in 11 high confidence DCM genes, and the CD36 nonsense variant (Y325*; 0, 1, or 2 copies). MAIN OUTCOMES AND MEASURES: Odds of DCM; prevalence of risk-variant carriers among DCM cases; and population attributable fraction (PAF) for DCM. RESULTS: Among 82,623 AFR individuals across four studies, the mean age was 53.4 years and 1,625 had DCM. CD36 Y325* risk-allele homozygotes had 4.8-fold (95% CI, 3.1-7.3) increased odds of DCM, and CD36 Y325* heterozygotes had 1.4-fold (95% CI, 1.2-1.7) increased odds. TTN truncating variants also conferred elevated risk of DCM in AFR participants (OR, 8.46; 95% CI, 5.3-12.3). Among AFR DCM cases, 2.5% were CD36 homozygotes, second only to TTN truncating variants (4.3%) and exceeding all other high-confidence DCM genes combined (1.5%). In population-level analyses incorporating both heterozygous and homozygous CD36 Y325* carriers, the population-attributable fraction for CD36 (9.0%) surpassed that of TTN truncating variants (3.6%). CONCLUSIONS AND RELEVANCE: An ancestry-specific CD36 variant contributes more to DCM burden in AFR ancestry than established DCM genes, including TTN truncating variants, typically considered the most common genetic cause of DCM. These findings reshape the known genetic architecture of DCM in individuals of African ancestry and highlight the importance of representation in genomic research.

Journal Article

Integrated exome and mitochondrial genome sequencing reveals the genetic landscape of primary mitochondrial diseases: findings from a large Tunisian cohort.

Primary mitochondrial diseases are a heterogeneous group of neurometabolic disorders recognized as the most common metabolic genetic diseases. They manifest at any age, affecting any tissue or organ, especially those with high energy demands, and are caused by pathogenic variants in both mitochondrial and nuclear genomes. Here, we aimed to describe the genetic spectrum of a Tunisian pediatric cohort with suspected mitochondrial diseases. We recruited 47 unrelated families who underwent exome sequencing as a first-tier test followed by whole mitochondrial genome sequencing for unsolved cases. Dedicated bioinformatic pipelines and prediction tools were used to determine the potential disease-causing variants. Sanger sequencing confirmed the presence and segregation within parents. For the newly identified variants, structural modeling was conducted to study the impact of these variants on protein structure and motions. Dual genome sequencing yielded a molecular diagnosis in 33/47 families (70%) and 18/47 (38%) showed disease-causing variants in genes encoding mitochondrial proteins. Among them, four families disclosed novel variants in FASTKD2, SERAC1 and GATB, which were supported by in-depth in silico and structural analyses demonstrating their deleterious effect. The remaining families (32%, 15/47) disclosed other metabolic and neurological disorders. An exome-first strategy delivers a high diagnostic yield in Tunisia, where consanguinity remains high and simultaneously captures mitochondrial and non-mitochondrial etiologies. Mitochondrial sequencing remains indispensable in the case of an inconclusive exome. Thus, our data expand the clinical and genetic spectrum of primary mitochondrial diseases in Tunisia, an underrepresented and admixed population.

Humans

Unveiling clinical and genetic landscapes of MMA and CBS: insights from whole exome sequencing in a tertiary care setting.

BACKGROUND: MMA and CBS deficiency are rare autosomal recessive metabolic disorders caused by defects in cobalamin metabolism and cystathionine-beta-synthase activity, respectively. Advanced molecular genetic techniques, have become essential for diagnosing these conditions. This study aimed to analyze the genetic variations in three MMA and four CBS deficiency cases using WES and correlate the findings with clinical, biochemical, and treatment outcomes. METHODS: Clinical evaluation, biochemical testing, neuroimaging, and WES were performed. WES data were analyzed using the reference genome GRCh37, and variants were classified according to ACMG guidelines. Treatment outcomes were monitored for three months post-intervention. RESULTS: In MMA cases, a homozygous pathogenic variant (c.394 C > T, p.Arg132Ter) in MMACHC was identified in all three patients. Biochemical abnormalities included methylmalonic aciduria, elevated homocysteine, and megaloblastic anemia. Hydroxycobalamin therapy improved behavioral, cognitive, and dermatological symptoms, though residual neuropathy persisted in one case. In CBS deficiency, pathogenic variants in CBS (c.992 C > T, p.Ala331Val; c.862 G > A, p.Ala288Thr; c.700 G > A, p.Asp234Asn) were identified. Clinical features included developmental delayed milestones, lens dislocation, and vascular complications. Treatment outcomes varied based on early diagnosis and compliance. CONCLUSION: This study highlights the importance of newborn screening program with WES in diagnosing and managing MMA and CBS deficiency, facilitating early intervention, improving clinical outcomes, and supporting precision medicine approaches. IMPACT: Early newborn screening and diagnosis are critical for effective treatment and improved patient outcomes. Novel clinical and pathogenic variants will expand the current understanding of these disorders. WES enhances the diagnostic precision for MMA and CBS deficiency, facilitating timely intervention and superior clinical management. Accurate and early detection of treatable IEMs through NBS can significantly reduce disease burden and healthcare costs.

Child, Preschool

Genetic Landscape of Opsoclonus-Myoclonus-Ataxia Syndrome in Children.

BACKGROUND: Opsoclonus-myoclonus-ataxia syndrome (OMAS) is a rare neurological disorder, with involuntary rapid saccadic conjugate eye movements as one of characteristics, primarily affecting the cerebellum. While the exact pathogenesis remains unclear, genetic and autoimmune factors have been suggested to contribute to its development. METHODS: We enrolled patients diagnosed with OMAS before the age of 18 years at a pediatric neuroimmunology clinic in Boston, United States, using the 2004 Genoa Criteria. Whole genome sequencing was conducted for the patients and their biological parents in all cases, with one case including an unaffected twin sibling. RESULTS: De novo germline variants (DNVs) in probands were identified and validated and analyses of structural variants, recessive variants in neuroimmune-associated genes, and high-resolution human leukocyte antigen (HLA) typing were performed. Our study included 42 patients, 23 of whom had neuroblastoma. We found 12 confirmed DNVs in protein-coding regions in nine patients (29.0% of 31 from 30 trios and 1 quartet). Ten patients (23.8% of 42) had rare homozygous or compound heterozygous variants known to alter protein function, affecting 11 genes. Notably, the major histocompatibility complex, class II, DR beta 1 (HLA-DRB1) &#x2217;01 allele was observed in 27 out of 84 (32.1%) alleles in the patients, significantly higher than that in the general population (chi-square test, P < 0.0001). In one case, a potential genetic modifier of OMAS with severe cerebellar atrophy was identified, associated with a protein-truncating DNV in the CACNA2D2 gene. CONCLUSIONS: This first genome sequencing study reveals potential genetic contributors to OMAS, implicating polygenic predisposition-with HLA-DRB1&#x2217;01 as a possible factor-combined with nongenetic risk factors like neuroblastoma.

Humans

Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants.

BACKGROUND: Genome-wide association studies have identified several hundred susceptibility single nucleotide variants for coronary artery disease (CAD). Despite single nucleotide variant-based genome-wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear. METHOD AND RESULTS: We leveraged SVs detected from high-coverage whole genome sequencing data in a diverse group of participants from the National Heart Lung and Blood Institute's Trans-Omics for Precision Medicine program. Single variant tests were performed on 58&#x2009;706 SVs in a study sample of 11&#x2009;556 CAD cases and 42&#x2009;907 controls. Additionally, aggregate tests using sliding windows were performed to examine rare SVs. One genome-wide significant association was identified for a common biallelic intergenic duplication on chromosome 6q21 (P=1.54E-09, odds ratio=1.34). The sliding window-based aggregate tests found 1 region on chromosome 17q25.3, overlapping USP36, to be significantly associated with coronary artery disease (P=1.03E-10). USP36 is highly expressed in arterial and adipose tissues while broadly affecting several cardiometabolic traits. CONCLUSIONS: Our results suggest that SVs, both common and rare, may influence the risk of coronary artery disease.

Humans

Genetic Landscape and Mitochondrial Metabolic Dysregulation in Patients Suffering From Severe Long COVID.

Long COVID represents a significant global health challenge with an unclear etiology. Alongside accumulating evidence of mitochondrial dysfunction in patients with acute SARS-CoV-2 infection, a symptomatic overlap exists between long COVID and mitochondrial disorders. However, the genetic underpinnings of mitochondrial dysfunction in long COVID have not been previously explored. We employed whole genome sequencing to analyze 13 patients with severe long COVID to identify genetic defects related to mitochondrial function. We performed extracellular bioenergetics flux analysis on peripheral blood mononuclear cells and proteomics to evaluate cellular bioenergetics and compared the results to those of healthy controls. Our investigation identified 10 variants classified as pathogenic or likely pathogenic and 83 variants of unknown significance affecting a wide range of mitochondria-associated biological functions. Bioenergetics flux analysis in peripheral blood mononuclear cells revealed an altered ATP production rate in four long COVID patients compared to healthy controls. This study presents initial evidence of a potential underlying genetic predisposition to mitochondrial dysfunction in long COVID while demonstrating altered cellular energy capacity in a subset of these patients. These findings open avenues for further research into the role of mitochondrial dysfunction and pathology in patients suffering from long COVID and may pave the way for targeted therapeutic strategies aimed at mitigating mitochondrial dysfunction.

Humans

Exploring the Genetic Landscape of Primary Marginal Zone Lymphoma of the Urinary Bladder.

Extranodal marginal zone B-cell lymphoma (MZL) of mucosa-associated lymphoid tissue is the most frequent primary lymphoma of the urinary bladder. Although MZLs from various anatomical sites are often associated with autoimmune disorders, infections, and site-characteristic genetic alterations, the molecular foundations and potential infectious triggers of urinary bladder MZL remain poorly understood. To elucidate the disease etiology and correlation with MZLs arising in other locations, we examined a cohort of 17 cases (11 women and 6 men) diagnosed with primary bladder MZL between 2005 and 2025. Immunohistochemical analysis confirmed the literature, with all samples testing positive for the pan B-cell markers CD20 and CD79a and negative for CD5 (except 1), cyclin D1, and SOX11. Thirteen samples exhibited secretory differentiation and displayed immunoglobulin light chain restriction (9 &#x3ba; and 4 &#x3bb;). No gene rearrangements in BCL2, BCL6, BCL10, IRF4, MALT1, and MYC were detected. High-throughput sequencing identified 31 pathogenic/likely pathogenic somatic mutations across 18 genes, with TBL1XR1 (n = 8), MAP2K1 (n = 4), and TNFAIP3 (n = 2) being the most frequently mutated ones. Additionally, all cases included variants of unknown significance. The sample of 1 patient tested positive for Chlamydia trachomatis, human betaherpesvirus 6B, and Epstein-Barr virus. Escherichia coli was detected in 5 samples. We provide compelling evidence that urinary bladder MZL is a point mutation-driven disease rather than gene fusion-driven disease and that E coli is present in approximately one-third of tumor biopsies. These tumors frequently harbor pathogenic mutations in genes encoding components regulating plasma cell differentiation and the pleiotropic MAPK/ERK signaling pathway. TBL1XR1, which was unexpectedly frequently mutated, is generally linked to more aggressive variants of MZL and diffuse large B-cell lymphoma; however, its prognostic significance in urinary bladder MZL remains to be determined. Comparative analysis highlighted partial overlap of urinary bladder MZL mutational profiles with those found in salivary gland MZL.

Humans

Decoding the genetic landscape of allergic rhinitis: a comprehensive network analysis revealing key genes and potential therapeutic targets.

BACKGROUND: Allergic Rhinitis (AR), an inflammatory affliction impacting the upper respiratory tract, has been registering a substantial surge in incidence across the globe. METHODS: We embarked on examination of differentially expressed genes (DEGs) and the Weighted Gene Co-Expression Network Analysis (WGCNA). With this armory of genes identified, we engaged the tools of Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Our study continued with the establishment of a protein-protein interaction (PPI) network and the application of LASSO regression. Finally, we leveraged a docking model to elucidate potential drug-gene interactions involving these key genes. RESULTS: Through WGCNA and different express genes screening, PPI network was performed, identifying top 20&#x2009;key genes, including CD44, CD69, CD274. LASSO regression identified three independent factors, STARD5, CST1, and CHAC1, that were significantly associated with AR. A predictive model was developed with an AUC value over 0.75. Also, 105 potential therapeutic agents were discovered, including Fluorouracil, Cyclophosphamide, Doxorubicin, and Hydrocortisone, offering promising therapeutic strategies for AR. CONCLUSION: By fuzing DEGs with key genes derived from WGCNA, this study has illuminated a comprehensive network of gene interactions involved in the pathogenesis of AR, paving the way for future biomarker and therapeutic target discovery in AR.

Humans

Expanding the genetic landscape of SLC4A1-linked hereditary spherocytosis: discovery of a novel TM9 variant using high-resolution genomic profiling analysis.

INTRODUCTION: Hereditary spherocytosis (HS) is the most common inherited red cell membranopathy caused by defects in erythrocyte membrane and cytoskeletal proteins, including ankyrin, spectrin, band 3, and protein 4.2. Among these, mutations in SLC4A1, which encodes the erythrocyte anion exchanger band 3 (AE1), account for approximately 20-30% of HS cases and it is associated with distal renal tubular acidosis (dRTA), reflecting phenotypic and functional heterogeneity. METHODS: In this study, seven unrelated Indian patients with clinically suspected HS were investigated using detailed hematological, biochemical, and clinical evaluations along with eosin-5'-maleimide (EMA) binding assays. Molecular analysis was performed using targeted next-generation sequencing (t-NGS) covering 81 genes associated with red cell disorders, and the identified SLC4A1 variants were validated by Sanger sequencing. The structural and functional consequences of the variants were assessed through in silico tools including DynaMut, PolyPhen-2, and SIFT. RESULTS: Seven SLC4A1 variants were identified, including six previously reported variants and one novel variant, p.Phe702Ser, detected in heterozygous or compound heterozygous states. These variants were distributed across both cytoplasmic and transmembrane domains of the band 3 protein. Most patients presented with mild to moderate HS characterized by anemia, jaundice, splenomegaly, reticulocytosis, and reduced EMA fluorescence. One patient harboring compound heterozygous variants (p.Arg490His and p.Ala858Asp) exhibited HS associated with dRTA, highlighting the functional diversity of SLC4A1 mutations. The novel p.Phe702Ser variant, located in the transmembrane domain TM9, was predicted to destabilize AE1 structure and potentially impair anion transport. DISCUSSION: Marked intrafamilial phenotypic variability was observed despite identical genotypes. These findings expand the mutational spectrum of SLC4A1-related HS in Indian patients.

SLC4A1

Targeted sequencing reveals a distinct genetic alteration landscape in oral multiple primary squamous cell carcinomas.

OBJECTIVE: Oral multiple primary cancers (MPCs) are associated with poor clinical outcomes, yet their genomic characteristics remain insufficiently understood. DESIGN: Fifty-four formalin-fixed paraffin-embedded (FFPE) tumor samples from 30 patients with oral MPCs were analyzed using high-depth targeted sequencing of a customized 14-gene panel derived from prior whole-exome sequencing data. Detected alterations were analyzed after removal of synonymous mutations. RESULTS: Non-silent genomic alterations were identified in 59.3% (32/54) of samples, involving 19 patients. A total of 70 variant loci across 13 genes were detected. AKAP13 was the most frequently mutated gene at both the sample (22.2%, 12/54), with recurrent mutations observed across multiple patients. In contrast, TP53 mutations occurred at a substantially lower frequency (11.1%, 6/54). Marked inter- and intra-patient mutational heterogeneity was observed. CONCLUSIONS: FFPE-based targeted sequencing enabled an initial characterization of genomic alterations in oral MPCs. Recurrent alterations in AKAP13, GLI2, JMJD1C, and DNAH8, together with the relatively low frequency of TP53 alterations, identify candidate genomic features for further investigation and provide a basis for future studies of the molecular basis of oral MPCs.

Humans

Landscape of genetic alterations affecting cancer genes in primary and advanced malignant phyllodes tumours.

BACKGROUND: Malignant phyllodes tumours (MPT) are aggressive breast fibroepithelial neoplasms. Their rarity has limited their genetic characterization, and associations with genetic ancestry and progression drivers remain poorly understood. Prior studies suggest two evolutionary pathways according to MED12 mutational status. We sought to determine the repertoire of somatic genetic alterations in cancer genes in primary versus metastatic/recurrent MPTs, and according to MED12 mutational status and genetic ancestry. MATERIALS AND METHODS: We analysed the paired tumour-normal targeting sequencing data (up to 505 cancer-related genes) of 31 MPTs (primary, n&#x2009;=&#x2009;20; metastatic/recurrent, n&#x2009;=&#x2009;11). RESULTS: Metastatic/recurrent MPTs harboured a numerically higher frequency of genetic alterations in CDKN2A/2B (55% vs. 25%). Moreover, analysis of an MPT case with paired primary and metastatic samples revealed a CDKN2A/2B homozygous deletion restricted to the metastatic sample, suggesting a role for CDKN2A/2B in progression. Compared with MED12-wild type MPTs, MED12-mutant MPTs had higher tumour mutation burden (P&#x2009;=&#x2009;0.002), frequency of TERT promoter (82% vs. 35%; P&#x2009;=&#x2009;0.02) and RB1 mutations (45% vs. 5%; P&#x2009;=&#x2009;0.01). Genetic alterations in the PI3K pathway, including PIK3CA and PTEN, were only present in MED12-wild type MPTs, and absent in MED12-mutant cases (15% vs. 0%; P&#x2009;>&#x2009;0.05). Furthermore, genetic alterations in EGFR were restricted to MPTs from patients of European genetic ancestry and absent in those of Asian ancestry (43% vs. 0%; P&#x2009;>&#x2009;0.05). CONCLUSIONS: Taken together, the repertoire of genetic alterations in primary and metastatic/recurrent MPTs shows overlap, and CDKN2A/2B homozygous deletions may play a role in progression. Additionally, molecular profiles of MPTs may vary according to genetic ancestry and MED12 mutational status.

Humans

Genomic history of the Caucasus: A systematic review and meta-analysis of ancient DNA studies.

The Caucasus region represents a unique natural laboratory for paleogenetic research due to its complex topography, long-standing role as a migratory corridor and glacial refugium, and exceptional preservation conditions for ancient DNA. This review synthesizes recent genome-wide studies to reconstruct the demographic history shaping the distinctive genetic landscape of modern Caucasus populations. The analysis reveals a deep pattern of continuity, isolation, and periodic admixture. Early genetic differentiation emerged in the Neolithic and Chalcolithic, forming distinct steppe and mountain population clusters. The Bronze Age was a pivotal period marked by large-scale gene flow from the Eurasian Steppe, particularly linked to the Yamnaya expansion, and interactions with Iranian and Anatolian-related groups. Despite these influences, many populations demonstrate remarkable genetic continuity from the Bronze Age to the present day. Significant knowledge gaps persist, particularly for the Paleolithic, Mesolithic, and Neolithic of the North Caucasus, as well as for the Late Medieval and Early Modern periods across the entire region. Addressing these gaps through targeted archaeogenomic studies is crucial for understanding the fine-scale processes that formed the hierarchical structure and high linguistic diversity of Caucasus populations, offering a powerful model for studying human adaptation, interaction, and language-genetics dynamics in a mountainous environment.

Humans