International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General Medicine.
KBG syndrome (KBGS, Online Mendelian Inheritance in Man no.148050) is a rare autosomal dominant disorder caused by heterozygous disease-causing variants in the ankyrin repeat domain 11 (ANKRD11) gene or by microdeletions of the 16q24.3 region encompassing this gene (1,2-6). ANKRD11-related KBG syndrome is increasingly recognized, with >375 individuals reported in the literature (7,8). ANKRD11 encodes a transcriptional coregulator involved in chromatin remodeling and regulation of gene expression through interactions with histone-modifying enzymes, transcriptional cofactors and the cohesin complex (5,6,8,9,10). ANKRD11 expression is key for nervous system development and function, influencing neural progenitor proliferation, neuronal generation, positioning and plasticity and dendritic differentiation (6,8). Structurally, the protein contains five N-terminal ankyrin repeats, two repression domains, one activation domain and C-terminal D-box motifs that regulate proteasomal degradation during the cell cycle (5,6). KBGS is primarily caused by heterozygous loss-of-function ANKRD11 variants, including truncating frameshift and nonsense variants, or 16q24.3 microdeletions involving ANKRD11, resulting in haploinsufficiency (2-6). Pathogenic mechanisms include impaired chromatin regulation, and altered transcriptional control of developmental genes, supporting the classification of KBGS as a chromatinopathy (8-10). These molecular alterations are consistent with the neurodevelopmental, skeletal and craniofacial manifestations observed in affected individuals, including developmental delay, intellectual disability, short stature, facial dysmorphism and dental anomalies such as macrodontia (1,2,5,9,10).
Currently, the prevalence of KBGS is hypothesized to be underestimated due to its wide phenotypic variability, variable severity and mild presentations in some individuals. Numerous pathogenic ANKRD11 variants and 16q24.3 deletions have been described (2-4,8,11,12). Although no consensus clinical diagnostic criteria has been published, KBGS should be suspected in individuals with developmental delay and/or intellectual disability, attention-deficit/hyperactivity disorder or autism spectrum disorder, together with characteristic phenotypic features or associated comorbidities. The primary clinical features include postnatal short stature, hand and costovertebral anomalies, macrodontia of the upper central incisors as a key feature and a triangular facial shape (1-4,8,13,14).
Considering the substantial clinical heterogeneity, other disorders with overlapping clinical features with KBGS have been considered in the differential diagnosis, such as Cornelia de Lange syndrome (OMIM No. 122470), Silver-Russell syndrome (OMIM No. 180860), Aarskog-Scott syndrome (OMIM No. 305400) and Coffin-Siris syndrome (OMIM No. 135900) (4,9,10,15,16). For this reason, KBGS has recently been classified as part of a new class of disorder, known as chromatinopathies. These disorders result from variants in proteins involved in chromatin remodeling and transcriptional regulation (6,8-10,16).
The present study aimed to describe the clinical and molecular findings of 10 individuals with ANKRD11 variants, highlighting the broad spectrum of associated phenotypes, and to establish genotype-phenotype associations to refine the characterization of this syndrome and compare its phenotypic features with those of classical chromatinopathy (2-4,13,17-19).
The present study conducted a systematic review of the literature addressing the clinical and molecular aspects, providing a broader framework for interpreting our findings (2-4,11,13,17,19,20).
The present retrospective observational case series included 10 individuals with molecularly confirmed KBGS evaluated at the Clinical Genetics Service of Fundación Valle del Lili (Cali, Colombia) between January 2017 and February 2025. Inclusion criteria comprised a compatible clinical phenotype and the identification of a pathogenic or likely pathogenic ANKRD11 variant or a chromosomal rearrangement involving the 16q24.3 region. Patients without molecular confirmation of KBGS or with insufficient clinical or photographic data for analysis were excluded. Clinical, demographic and molecular data were obtained from medical records and standardized clinical genetic evaluations. The patient group comprised six males and four females, with an age range of 6-37 years at the time of evaluation.
To assess facial dysmorphology in KBGS, the present study included a comparative sample of 10 sex- and age-matched controls recruited during data collection sessions at Universidad Icesi and the Clinical Research Center of Fundación Valle del Lili, Cali, Colombia, between January and March 2021. The control group comprised six males and four females, with an age range of 6-37 years. Control individuals were included only for the 2D facial morphometric analysis if they were from the same geographic region, had no known history of neurodevelopmental disorder, craniofacial anomaly or genetic syndrome, and had standardized frontal facial photographs of sufficient quality for landmark annotation. No genetic testing or screening was performed in the control group.
The present study was approved by the Ethics Committee of Hospital Universitario Fundación Valle del Lili (approval no. 2025.140). Written informed consent was obtained from all patients or their legal guardians for the publication of clinical data and photographic images. The present study was conducted in accordance with the ethical principles of the Declaration of Helsinki, ensuring confidentiality and appropriate use of identifiable information for research and publication.
Phenotypic assessment included growth parameters, neurodevelopmental profile, behavioral manifestations, craniofacial dysmorphism, skeletal anomaly and involvement of other organ systems. Clinical features were described using standardized dysmorphology terminology. Developmental delay, intellectual disability and neuropsychiatric features were recorded based on multidisciplinary clinical and neuropsychological evaluation.
Molecular diagnosis and evaluation of clinically relevant differential diagnoses were performed using clinical exome sequencing. In total, four exome analyses were performed institutionally, whereas the remaining studies were performed by external diagnostic laboratories as part of the patient clinical diagnostic workflow. For externally performed tests, sequencing and bioinformatic procedures were performed out according to validated protocols, and the results were reviewed based on the clinical reports available.
For institutionally performed exome analyses, genomic DNA was extracted and purified from peripheral blood samples, followed by preparation of genomic fragment libraries using the KeyExome-GeneSGKit X. 48 Reactions kit, reference LV4283 (Genomic Systems). DNA quantity and purity were assessed using NanoDrop spectrophotometry, including the 260/280 nm ratio, and DNA quantification was performed using Qubit and Quantus fluorometers. Library quality was evaluated using TapeStation capillary electrophoresis, with library fragments showing a Gaussian distribution and a peak of approximately 320 bp. Clonal amplification and sequencing of the selected regions were performed on an Illumina NextSeq 500 platform using Illumina bridge sequencing technology and a paired-end sequencing strategy. Sequencing was performed using the NextSeq 500/550 High Output kit v2.5, 300 cycles, supporting 2x150 bp reads (cat. no. 20024908; Illumina Inc.). Mean sequencing coverage was recorded according to the clinical laboratory report. Bioinformatic analysis of the DNA sequences was performed by comparison with the reference genome sequence GRCh38 using the GeneSystems® platform v4.0.1 (IVD-CE; https://platform.genesystm.com/services) (21). Variants were considered for analysis when they showed a read depth ≥20X and a variant allele fraction/read ratio ≥0.2.
ANKRD11 variants were described according to the Human Genome Variation Society (HGVS) nomenclature using the NM_013275.6 reference transcript and classified following the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines (22,23). Variant interpretation was supported by variant interpretation platforms, including VarSome (varsome.com/) and Franklin (Genoox/QIAGEN; franklin.genoox.com/clinical-db/home), together with genotype-phenotype association and available clinical evidence. In silico predictive analyses were performed for variants of uncertain significance using VarSome (24,25).
Variants classified as pathogenic or likely pathogenic were confirmed by Sanger sequencing in four patients for whom confirmation was available as part of the clinical diagnostic workflow. For the remaining six patients, Sanger sequencing chromatograms were generated by external diagnostic laboratories as part of the clinical diagnostic workflow (data not available).
Parental segregation studies were performed when parental samples were available. Novelty was assessed based on the absence of previous reports in VarSome, Franklin and the available literature. Novel variants are currently in the process of being submitted to ClinVar (26).
Two-dimensional facial morphometric analysis was performed in patients and controls using standardized 2D frontal photographs. Images were acquired with participants in an upright head position and neutral expression, with open eyes and closed mouth.
A set of 21 anatomical facial landmarks were manually annotated using the tpsDig2 software version 2.32, 64-bit executable (27) and quantitative shape analyses were conducted to identify craniofacial patterns associated with KBGS. Facial shape variation was assessed using geometric morphometrics, a robust set of statistical tools designed for measuring and comparing 2D/3D shapes with high precision and efficiency (27,28-31). Facial landmark configurations were aligned in a common morphospace using generalized Procrustes analysis, removing non-shape variance due to translation, rotation and scale. Multivariate linear regression was performed to correct for age-associated facial shape differences. The regression residuals were analyzed using principal component analysis (PCA) to explore facial differences between patients with KBGS and matched controls. Morphological variation was visualized in the morphospace defined by the first two principal components. Group differentiation was assessed using Procrustes distances between mean shapes, calculated as the square root of the sum of squared differences between homologous landmarks. All statistical analyses were performed in MorphoJ 1.08.01(32) and R 4.4.2 using the geomorph package v4.0.10(33). Statistical significance was determined using 1,000-permutation tests, with P<0.05 considered statistically significant.
A total of 10 individuals with molecularly confirmed KBGS were included, comprising six males and four females. Age at molecular diagnosis ranged from 4 to 36 years, with a mean age of 16.4 years. All individuals were followed at Fundación Valle del Lili (Cali, Colombia) and underwent comprehensive clinical genetic evaluation.
Developmental delay was present in all patients (10/10, 100%) and all met criteria for intellectual disability, with severity ranging from mild to severe. Growth parameters were variable. Current height ranged from 99 to 171 cm, and birth length data were available for 4/10 individuals, ranging from 47 to 52 cm.
All phenotypic and molecular characteristics are described in Tables I and II.
Semiological findings and phenotypic abnormalities were defined using terms from Human Phenotype Ontology (34).
Craniofacial findings. Craniofacial dysmorphism was identified in all individuals, although the specific combination and severity of features varied (Fig. 1). The most frequent findings included low anterior hairline (8/10, 80%), bulbous nasal tip (8/10, 80%), synophrys (6/10, 60%), facial asymmetry (7/10, 70%) and prominent ears (6/10, 60%). Additional recurrent features included full or arched eyebrows (7/10, 70%), triangular face, brachycephaly, coarse facial features, hypertelorism, long philtrum and macrodontia of the permanent upper central incisors (all 5/10, 50%) (Fig. 2). Less frequent findings included microcephaly (3/10, 30%), downslanting palpebral fissures (2/10, 20%), upslanting palpebral fissures (3/10, 30%), macrostomy (2/10, 20%), cleft lip and/or palate (1/10, 10%), prognathism (1/10, 10%) and micrognathia (4/10, 40%).
Skeletal manifestation. Skeletal anomalies were commonly observed. Scoliosis was the most frequent finding (6/10, 60%). Digital anomalies were prominent, including clinodactyly and/or campodactyly (7/10, 70%), short fourth and fifth fingers (5/10, 50%) and persistent fetal fingertip pads (4/10, 40%). Less frequent skeletal features included cubitus valgus (2/10, 20%), short neck (2/10, 20%), single transverse palmar crease (1/10, 10%), broad thumbs (1/10, 10%), and broad hallux (1/10, 10%).
Neurological and behavioral features. All individuals exhibited developmental delay and intellectual disability. Hypotonia was observed in half of the cohort (5/10, 50%). Behavioral and neuropsychiatric manifestations were frequent, including behavioral disorder (5/10, 50%), attention-deficit hyperactivity disorder (4/10, 40%) and autistic features (4/10, 40%). Seizures were reported in four individuals (40%). Brain magnetic resonance imaging, when available, demonstrated variable findings, including periventricular white matter signal abnormalities compatible with mild leukoencephalomalacia in one patient.
Sensorineural or conductive hearing loss was identified in eight individuals (80%), making it one of the most prevalent non-neurological manifestations in the cohort. Gastrointestinal involvement was frequent, including feeding difficulties (6/10, 60%), gastroesophageal reflux (3/10, 30%), low weight (3/10, 30%) and isolated cases of anal anomaly (1/10, 10%) and intestinal abnormality (1/10, 10%). Congenital cardiovascular defects were observed in two individuals (20%) and renal anomalies were identified in one patient. Cryptorchidism was documented in one male individual.
All 10 individuals carried heterozygous ANKRD11 variants, consistent with autosomal dominant KBGS. The molecular spectrum was predominantly composed of loss-of-function variants, primarily frameshift and nonsense mutations, supporting ANKRD11 haploinsufficiency as the underlying pathogenic mechanism (Table I; Fig. 3). In addition to the ANKRD11 variants reported, no other variants were identified during exome analysis that were considered likely to contribute to the clinical conditions.
Most variants were located in exon 9, a known mutational hotspot, and a single missense variant was identified in one patient (2,6). There were no recurrent variants or 16q24.3 chromosomal rearrangements. Eight variants were considered novel based on the absence of previous reports in variant interpretation platforms, including VarSome and Franklin (24,25), and available literature: c.3600dup (p.Val1201SerfsTer3), c.7753C>T (p.Arg2585Cys), c.741C>A (p.Tyr247Ter), c.7744_7745dup (p.Asn2583Serfs20), c.6517delG (p.Val2173Serfs2), c.5397dup (p.Glu1800ArgfsTer150), c.3499dup (p.Ser1167PhefsTer) and c.3055_3059del (p.Arg1019GlyfsTer14) (Table I; Fig. 3). These variants are currently in the process of being submitted to ClinVar (26).
According to ACMG/AMP guidelines, three variants were classified as pathogenic and seven as likely pathogenic, with strong phenotypic concordance (23). Pathogenic or likely pathogenic were confirmed by Sanger sequencing in four patients for whom confirmation was available as part of the clinical diagnostic workflow (Figs. S1, S2, S3 and S4). Parental studies, when available, confirmed multiple de novo occurrences. Detailed molecular data are summarized in Table I and Fig. 3.
The PCA of 2D facial landmarks revealed partial overlap among diagnostic groups. In total, two patients fell within the range of variation of control individuals, whereas the remaining eight exhibited broad dispersion along PC1, which accounted for 34.7% of the total variance. PC2 accounted for 16.1% of variance and revealed a distinct separation between patients and controls (Fig. 4). Permutation tests based on Procrustes distances confirmed that facial shape differences between controls and patients with KBGS were statistically significant (Procrustes distance=0.045; P=0.0288).
At the extremes of PC1, individuals with the most severe dysmorphic features exhibited pronounced facial asymmetries, affecting either the left or the right side of the face (Fig. 4). At the positive extreme, patients had narrower faces, upward displacement of the right orbit, downward nasal tip displacement, increased lower lip thickness and lateral chin deviation to the right. At the negative extreme, patients exhibited wider faces, downward displacement of the right orbit, upward nasal tip displacement, increased upper lip thickness and lateral chin deviation to the left (Fig. 4).
PC2 highlighted characteristic KBGS facial features, including increased forehead height, nasal prominence, ticker lower lip and reduced chins (Fig. 4).
Patients displayed heterogeneous craniofacial phenotypes (Fig. 4), but no significant associations were detected between facial variation and mutation type (frameshift, nonsense, missense) or exon location (11,14,20).
KBGS is a rare autosomal dominant neurodevelopmental disorder caused by haploinsufficiency of ANKRD11, a gene encoding a chromatin regulator involved in transcriptional control, neuronal development and skeletal formation (2,5,9,10). Since its initial description, the phenotypic spectrum of KBGS has expanded to include a wide range of neurodevelopmental, craniofacial, skeletal, behavioral and systemic manifestations (1-4,11,13,17,20). To date, >300 molecularly confirmed cases have been reported worldwide, with >1,000 distinct ANKRD11 variants described, the majority of which are truncating and cluster within exon 9, a well-established mutational hotspot (2-4,11,12,19).
Despite increasing recognition, KBGS remains underdiagnosed and typically misclassified due to its marked phenotypic variability and overlap with other genetic conditions (4,9,10,13,15,16,35). The syndrome is referred to as a ‘great imitator’ because of its clinical resemblance to other chromatinopathies, such as Cornelia de Lange and Coffin-Siris syndromes, as well as multisystem developmental conditions including VACTERL association (vertebral defects, anal atresia, cardiac defects, tracheoesophageal fistula/esophageal atresia, renal anomalies and limb abnormality (VACTERL) and Turner syndrome (4,9,10,15,16). Genotype-phenotype associations in KBGS are weak or absent, with variant type and location providing little predictive value for clinical severity (2,3,13,18). Consequently, molecular studies are essential to establish a definitive diagnosis, as clinical features alone are not pathognomonic and genotype-phenotype associations in KBGS remain weak or absent (5,12,36,37).
The present study presents a comprehensive characterization of 10 individuals with KBGS, integrating detailed clinical evaluation, molecular findings, 2D facial morphometric analysis and a structured comparison with previously published large cohorts. The present findings reinforce the concept of KBGS as a highly heterogeneous chromatinopathy and demonstrate the diagnostic challenges associated with its broad phenotypic spectrum.
Clinically, all individuals in the present cohort exhibited neurodevelopmental involvement, confirming developmental delay and intellectual disability as key features of KBGS. Craniofacial dysmorphism was universal, although the specific combination and severity of features varied. Notably, the most frequent craniofacial findings included facial asymmetry, coarse facial features, low anterior hairline, bulbous nasal tip and prominent ears. These features appeared at higher frequencies than in previously reported cohorts (2,3,6,11,19,20), suggesting they may be under-recognized or inconsistently documented in previous studies. This underscores the importance of detailed and systematic dysmorphological assessment in individuals with suspected KBGS.
Comparison with six previously published cohorts with detailed phenotypic data showed that the present cohort shares the core clinical features of KBGS, including intellectual disability/developmental delay, craniofacial dysmorphism, skeletal anomaly and neuropsychiatric manifestations (2,3,6,11,19,20). Certain features, such as low anterior hairline, facial asymmetry, hearing loss, and hypotonia, were observed at higher frequencies in the present series, potentially reflecting more systematic phenotypic assessment or cohort-specific differences (Table III) (2,3,6,11,19,20).
Table IIIComparative summary of the primary clinical features reported in six previously published large cohorts of individuals with KBG syndrome (2,3,6,11,19,20) and the present study. |
Skeletal anomaly and neurological manifestations were also common, including scoliosis, digital anomaly, hypotonia, seizures and behavioral disturbances. Hearing impairment was identified in a high proportion of patients, representing one of the most prevalent extracranial manifestations in the present series and reinforcing the need for routine auditory screening in the clinical evaluation of individuals with KBGS.
At the molecular level, the present findings support ANKRD11 haploinsufficiency as the primary pathogenic mechanism underlying KBGS. The predominance of truncating variants and their clustering within exon 9 align with previous reports, confirming this region as a global mutational hotspot (2,6). Previously reported ANKRD11 variants and the 10 variants identified in the present cohort are summarized in Fig. 5. Importantly, several variants in the present cohort were novel, expanding the ANKRD11 mutational spectrum and contributing data from an under-represented Latin American population. Despite this detailed molecular characterization, no association between variant type, location, or novelty and phenotypic severity was established, reinforcing the lack of robust genotype-phenotype association in KBGS.
A novel aspect of the present study is the incorporation of 2D facial morphometric analysis. Quantitative assessment demonstrated consistent alterations in facial shape, especially asymmetry and dysmorphologies in the upper face, midface and nasal regions, supporting the existence of a craniofacial signature associated with ANKRD11 haploinsufficiency. However, substantial interindividual variability persisted, reinforcing that genotype-phenotype associations cannot yet be reliably inferred from facial features alone. Future research should include larger cohorts to explore potential genetic associations between facial dysmorphology, the impact of developmental canalization on varying degrees of asymmetry and the influence of genetic ancestry. This is particularly relevant in populations with high ancestral diversity and admixture, where phenotypic expression may be modulated by complex genetic backgrounds that are under-represented in existing reference datasets. Longitudinal studies employing 3D facial modeling may clarify whether KBGS facial phenotype changes over time, as facial dysmorphology may become more pronounced during postnatal development (38). Rather than defining molecular subgroups, facial morphometry serves as a complementary tool that enhances phenotypic recognition and diagnostic confidence.
Comparison with six large published cohorts (2,3,6,11,19,20) revealed substantial overlap in key clinical features but also highlighted differences that may reflect cohort-specific characteristics or improved phenotypic recognition. By contrast with the literature, macrodontia, typically described as a cardinal feature of KBGS, was not prominent in the present cohort. This emphasizes that its absence should not preclude diagnosis and supports the need for comprehensive phenotypic evaluation rather than relying on isolated hallmark features.
Overall, the present findings reinforce KBGS as a complex and heterogeneous disorder that frequently overlaps with other genetic conditions, making clinical diagnosis challenging. Molecular testing remains essential for accurate diagnosis, appropriate classification and the implementation of targeted clinical interventions.
The present study expanded the clinical and molecular spectrum of KBGS through the detailed characterization of a Colombian case series, contributing novel data regarding ANKRD11-associated disorders. The present findings confirm the marked phenotypic variability of KBGS and demonstrated that variant type and location are not directly associated with phenotypic severity.
Despite the use of advanced approaches, such as 2D facial morphometric analysis, no robust genotype-phenotype association was identified. Instead, KBGS emerges as a highly heterogeneous condition that frequently mimics other genetic syndromes, particularly chromatinopathy, VACTERL association and Turner syndrome, making clinical diagnosis challenging.
The prominence of facial asymmetry, coarse facial features, low anterior hairline, bulbous nasal tip and prominent ears in the present cohort, together with the limited relevance of macrodontia, underscores the importance of detailed and systematic dysmorphological evaluation. Ultimately, the present study highlights the critical role of molecular testing in confirming the diagnosis, enabling appropriate intervention and improving clinical care of individuals with KBGS.
Not applicable.
Funding: No funding was received.
The data generated in the present study are not publicly available due to ethical, legal, consent-related and identifiability restrictions but may be requested from the corresponding author.
SBN, JANC and HP conceived and designed the study and analyzed and interpreted data. SBN, LEP and LVCC interpreted data and wrote the manuscript. MAM and NMA performed the two-dimensional facial morphometric analysis and wrote the manuscript. NMA revised the manuscript. All authors have read and approved the final manuscript. JANC and HP confirm the authenticity of all the raw data.
The present study was approved by the ethics committee of the Hospital Universitario Fundación Valle del Lili, Cali, Colombia; approval no. 2025.140). Written informed consent to participate was obtained from all adult participants, including healthy controls and individuals with KBGS, who were capable of providing consent. For minors and individuals with intellectual disability impairing autonomous consent capacity, written informed consent was obtained from parents or legal guardians.
Written informed consent for publication of clinical data and unredacted photographs was obtained from all adult participants, including healthy controls and individuals with KBGS, who were capable of providing consent, and from parents or legal guardians of minors and individuals with intellectual disability impairing autonomous consent capacity. This consent was obtained specifically for this study.
The authors declare that they have no competing interests.
|
Skjei KL, Martin MM and Slavotinek AM: KBG syndrome: Report of twins, expansion of the phenotype, and review of the literature. Am J Med Genet. 143A (Part A):292–300. 2007.PubMed/NCBI View Article : Google Scholar | |
|
Low K, Ashraf T, Canham N, Clayton-Smith J, Deshpande C, Donaldson A, Fisher R, Flinter F, Foulds N, Fryer A, et al: Clinical and genetic aspects of KBG syndrome. Am J Med Genet A. 170:2835–2846. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Goldenberg A, Riccardi F, Tessier A, Pfundt R, Busa T, Cacciagli P, Capri Y, Coutton C, Delahaye-Duriez A, Frebourg T, et al: Clinical and molecular findings in 39 patients with KBG syndrome caused by deletion or mutation of ANKRD11. Am J Med Genet A. 170:2847–2859. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Brancati F, D'Avanzo MG, Digilio MC, Sarkozy A, Biondi M, De Brasi D, Mingarelli R and Dallapiccola B: KBG syndrome in a cohort of Italian patients. Am J Med Genet A. 131A:144–149. 2004.PubMed/NCBI View Article : Google Scholar | |
|
Sirmaci A, Spiliopoulos M, Brancati F, Powell E, Duman D, Abrams A, Bademci G, Agolini E, Guo S, Konuk B, et al: Mutations in ANKRD11 cause KBG syndrome, characterized by intellectual disability, skeletal malformations, and macrodontia. Am J Hum Genet. 89:289–294. 2011.PubMed/NCBI View Article : Google Scholar | |
|
Parenti I, Mallozzi MB, Hüning I, Gervasini C, Kuechler A, Agolini E, Albrecht B, Baquero-Montoya C, Bohring A, Bramswig NC, et al: ANKRD11 variants: KBG syndrome and beyond. Clin Genet. 100:187–200. 2021.PubMed/NCBI View Article : Google Scholar | |
|
Orphanet: KBG syndrome. Orphanet. https://www.orpha.net/en/disease/detail/2332. | |
|
Swols DM and Tekin M: ANKRD11-related KBG syndrome. 2018 Mar 22 [Updated 2026 Jun 11]. In: Adam MP, Bick S, Mirzaa GM, Pagon RA, Wallace SE and Amemiya A (eds). GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993-2026. | |
|
Fahrner JA and Bjornsson HT: Mendelian disorders of the epigenetic machinery: Tipping the balance of chromatin states. Annu Rev Genomics Hum Genet. 15:269–293. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Bjornsson HT: The Mendelian disorders of the epigenetic machinery. Genome Res. 25:1473–1481. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Serra G, Elefante P, Gazzitano Y, Memo L, Mineo V, Morando C, Nardello R, Piro E, Travan L and Corsello G: KBG syndrome: Report and follow-up on three unrelated patients observed at different ages. Ital J Pediatr. 51(54)2025.PubMed/NCBI View Article : Google Scholar | |
|
Willemsen MH, Fernandez BA, Bacino CA, Gerkes E, de Brouwer AP, Pfundt R, Sikkema-Raddatz B, Scherer SW, Marshall CR, Potocki L, et al: Identification of ANKRD11 and ZNF778 as candidate genes for autism and variable cognitive impairment in the novel 16q24.3 microdeletion syndrome. Eur J Hum Genet. 18:429–435. 2010.PubMed/NCBI View Article : Google Scholar | |
|
Novara F, Rinaldi B, Sisodiya SM, Coppola A, Giglio S, Stanzial F, Benedicenti F, Donaldson A, Andrieux J, Stapleton R, et al: Haploinsufficiency for ANKRD11-flanking genes makes the difference between KBG and 16q24.3 microdeletion syndromes: 12 new cases. Eur J Hum Genet. 25:694–701. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Herrmann J, Pallister PD, Tiddy W and Opitz JM: The KBG syndrome-a syndrome of short stature, characteristic facies, mental retardation, macrodontia and skeletal anomalies. Birth Defects Orig Artic Ser. 11:7–18. 1975.PubMed/NCBI | |
|
Kleefstra T, Kramer JM, Neveling K, Willemsen MH, Koemans TS, Vissers LE, Wissink-Lindhout W, Fenckova M, van den Akker WM, Kasri NN, et al: Disruption of an EHMT1-associated chromatin-modification module causes intellectual disability. Am J Hum Genet. 91:73–82. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Bögershausen N and Wollnik B: Mutational landscapes and phenotypic spectrum of SWI/SNF-related intellectual disability disorders. Front Mol Neurosci. 11(252)2018.PubMed/NCBI View Article : Google Scholar | |
|
Peluso F, Caraffi SG, Contrò G, Valeri L, Napoli M, Carboni G, Seth A, Zuntini R, Coccia E, Astrea G, et al: Deep phenotyping of the neuroimaging and skeletal features in KBG syndrome: A study of 53 patients and review of the literature. J Med Genet. 60:1224–1234. 2023.PubMed/NCBI View Article : Google Scholar | |
|
Chanes NM, Wong J and Lacassie Y: Further delineation of DDX3X syndrome. Clin Dysmorphol. 28:149–151. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Choi Y, Choi J, Do H, Hwang S, Seo GH, Choi IH, Keum C, Choi JH, Kang M, Kim GH, et al: KBG syndrome: Clinical features and molecular findings in seven unrelated Korean families with a review of the literature. Mol Genet Genomic Med. 11(e2127)2023.PubMed/NCBI View Article : Google Scholar | |
|
Ockeloen CW, Willemsen MH, de Munnik S, van Bon BW, de Leeuw N, Verrips A, Kant SG, Jones EA, Brunner HG, van Loon RL, et al: Further delineation of the KBG syndrome phenotype caused by ANKRD11 aberrations. Eur J Hum Genet. 23:1176–1185. 2015.PubMed/NCBI View Article : Google Scholar | |
|
GeneSystems: GeneSystems® platform platform v4.0.1. https://platform.genesystm.com. | |
|
den Dunnen JT, Dalgleish R, Maglott DR, Hart RK, Greenblatt MS, McGowan-Jordan J, Roux AF, Smith T, Antonarakis SE and Taschner PE: HGVS recommendations for the description of sequence variants: 2016 update. Hum Mutat. 37:564–569. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, et al: Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. Genet Med. 17:405–424. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Saphetor SA: VarSome. https://varsome.com/. | |
|
Genoox/QIAGEN: Franklin clinical database. https://franklin.genoox.com/clinical-db/home. | |
|
National Center for Biotechnology Information: ClinVar. https://www.ncbi.nlm.nih.gov/clinvar/. | |
|
Rohlf FJ: tpsDig2, version 2.32, 64-bit executable [computer software]. Stony Brook University, 2021. Available from: https://www.sbmorphometrics.org/soft-dataacq.html. | |
|
Echeverry-Quiceno LM, Candelo E, Gómez E, Solís P, Ramírez D, Ortiz D, González A, Sevillano X, Cuéllar JC, Pachajoa H and Martínez-Abadías N: Population-specific facial traits and diagnosis accuracy of genetic and rare diseases in an admixed Colombian population. Sci Rep. 13(6869)2023.PubMed/NCBI View Article : Google Scholar | |
|
Bookstein FL: Morphometric tools for landmark data: Geometry and biology. Cambridge University Press, 1991. | |
|
Dryden IL and Mardia KV: Statistical shape analysis with applications in R. 2nd edition. John Wiley & Sons, 2016. | |
|
Hallgrimsson B, Percival CJ, Green R, Young NM, Mio W and Marcucio R: Morphometrics, 3D imaging, and craniofacial development. Curr Top Dev Biol. 115:561–597. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Klingenberg CP: MorphoJ: An integrated software package for geometric morphometrics. Mol Ecol Resour. 11:353–357. 2011.PubMed/NCBI View Article : Google Scholar | |
|
Adams D, Collyer M, Kaliontzopoulou A and Baken E: geomorph: Geometric Morphometric Analyses of 2D and 3D Landmark Data. Version 4.0.10. https://cran.r-project.org/package=geomorph. | |
|
Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos AV, Anderton J, Avillach P, Bagley AM, Bakštein E, Balhoff JP, et al: The human phenotype ontology in 2024: Phenotypes around the world. Nucleic Acids Res. 52 (D1):D1333–D1346. 2024.PubMed/NCBI View Article : Google Scholar | |
|
Wright CF, McRae JF, Clayton S, Gallone G, Aitken S, FitzGerald TW, Jones P, Prigmore E, Rajan D, Lord J, et al: Making new genetic diagnoses with old data: Iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders. Genet Med. 20:1216–1223. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Deciphering Developmental Disorders Study. Prevalence and architecture of de novo mutations in developmental disorders. Nature. 542:433–438. 2017.PubMed/NCBI View Article : Google Scholar | |
|
Wright CF, FitzPatrick DR and Firth HV: Paediatric genomics: Diagnosing rare disease in children. Nat Rev Genet. 19:253–268. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Brancati F, Sarkozy A and Dallapiccola B: KBG syndrome. Orphanet J Rare Dis. 1(50)2006.PubMed/NCBI View Article : Google Scholar |