Submitted:
27 August 2026
Posted:
28 August 2026
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Abstract
Importance: Delayed clinical and molecular diagnoses of craniofacial malformations are common due to limited awareness and understanding of these conditions, leading to significant gaps in management and treatment. Objective: To describe the clinical characteristics of patients with craniofacial malformation, identify the most frequent genomic loci associated with these disorders in our population, and evaluate the time interval between clinical and molecular diagnoses. Design and Setting: This retrospective chart review included patients enrolled in the Estudio Colaborativo Latinoamericano para Malformaciones Congenitas (ECLAMC) cohort at the Fundacion Valle del Lili from 2011 to 2022. Participants: Patients were identified using ICD-11 codes for congenital malformations of the eye, ear, face, neck, cleft lip, and cleft palate. All patients with documented craniofacial malformation were included. Main Outcomes and Measures: The study assessed novel variants and genes associated with craniofacial malformations, characterized the phenotypic spectrum, and determined delays in molecular diagnosis. Results: A total of 145 patients were included; the median age was 13 years (IQR 6.6 to 18.7), and 85 (58.6%) were male. Syndromic phenotypes were identified in 42 of 145 patients, 72 of 145 had isolated craniofacial abnormalities, and 30 of 145 lacked a definitive phenotypic diagnosis. Common malformations included eyelid anomalies, cleft lip, macrocephaly, microcephaly, craniosynostosis, and microtia. Only 23 patients (15.8%) had a confirmed molecular diagnosis. Identified syndromes included Cowden, Pfeiffer, CHARGE, Meckel-Gruber, and Joubert syndromes. Pathogenic variants were observed in genes such as GLI3, CHD7, FGFR2, HEXA, YARS2, ACVR1, AHDC1, TYR, RAD50, BRCA2, ANKS6, TP63, SOX9, COCH, KATNIP, CREBBP, SHH, MITF, FGFR3, EFTUD2, RPS6KA3, RERE, PTEN, OTC, L1CAM, RELN, ETHE1, HS6ST2, EFNB1, AMER1, and PTPN11. VUS were detected in TP63, STAMBP, OCLN, and FRMPD4. In 13% of cases, molecular diagnosis was not established. Conclusions and Relevance: Clinical and molecular characterization distinguishes syndromic from non-syndromic craniofacial malformations and informs comprehensive care. Significant diagnostic delays highlight the need for early genetic testing to guide treatment and provide timely counseling for patients and their families.
Keywords:
craniofacial malformations
; molecular diagnosis
; syndromic
; non-syndromic
; diagnostic delay
; ECLAMC
; genomics
; Colombia
1. Introduction
By the fourth week of embryonic development, the pharyngeal arches, clefts, and pouches give rise to key craniofacial structures, including the face, palate, and skull [1]. Postnatally, facial growth follows somatic growth, with variations in timing and vectors influenced by biological sex and population characteristics [2,3]. Craniofacial diversity primarily results from subtle differences in relative shape, size, and spatial arrangement of facial features [2].
Craniofacial malformations are common in early childhood, with prevalence inversely related to age. Craniosynostosis affects approximately 1 in 2000-2500 newborns. Previous studies indicate that nearly 15% of full-term newborns may present craniofacial anomalies, a proportion that rises to 38% in preterm infants [5]. Despite this high prevalence, few studies have comprehensively characterized the phenotypic spectrum of these malformations.
A retrospective Spanish study (ENSERIo) reported a median diagnostic delay of five years for patients with rare diseases, with 20% experiencing delays of 10 years or longer [6]. During this period, patients may receive inadequate or inappropriate treatment, adversely affecting their health and quality of life. In regions where molecular testing is limited, diagnostic delays are compounded, creating significant gaps in management.
In South America, the ECLAMC - an ongoing case-control study established in 1967 - monitors congenital abnormalities and collects data from Argentina, Brazil, Bolivia, Chile, Colombia, Peru, and Venezuela. Four Colombian institutions, including Fundacion Valle del Lili, contribute to the registry [4]. This study aims to describe the clinical characteristics of patients with craniofacial malformation, identify associated genetic loci, and assess delays from clinical to molecular diagnosis.
2. Materials and Methods
2.1. Study Design and Population
This retrospective chart review included patients enrolled in the ECLAMC cohort at Fundacion Valle del Lili between 2011 and 2022. The institution serves as a referral center for congenital malformations in southwest Colombia. Patients were identified using ICD-11 codes for congenital malformations of the eye, ear, face, neck, cleft lip, and cleft palate. All patients with documented craniofacial malformation were included.
2.2. Data Collection
Medical records were reviewed to extract demographic data, clinical and radiological findings, and associated anomalies affecting the central nervous system, musculoskeletal, cardiovascular, digestive, and pulmonary systems. Data were collected using BD Clinic (Cali, Colombia) and de-identified for analysis. Ten percent of records were randomly audited for quality assurance.
2.3. Sample Size
Sample size was estimated using OpenEpi (Emory University, United States) for a descriptive study, assuming a finite population of 1776, an expected prevalence of 50% (+/-5%), a 95% confidence interval, and a design effect of 1.
2.4. Statistical Analysis
Categorical variables were summarized using frequencies and percentages. Association was tested using the chi-square test, while continuous variables were analyzed using the t-test or Mann-Whitney U test, as appropriate. A descriptive subgroup analysis of patients with syndromic and non-syndromic craniofacial malformations was performed based on phenotype and genotype. The timing between birth, clinical diagnosis, and molecular diagnosis was graphed in Kaplan-Meier cumulative incidence curves. The Kaplan-Meier method was used first between birth and clinical diagnosis, and subsequently between clinical and molecular diagnosis. Censoring was applied according to the last follow-up visit. Statistical analyses were performed using STATA version 14 (StataCorp LLC, Texas, USA), with significance set at p < 0.05.
2.5. Ethical Statement
The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee in Biomedical Research of Fundacion Valle del Lili, Cali, Colombia (protocol code [XXX]; date of approval: [DD/MM/YYYY]). Patient consent was waived given the retrospective de-identified design.
3. Results
At study initiation, 1776 patients were screened according to predefined criteria. Of 330 medical records reviewed, 145 met inclusion criteria. Among these, 85 patients (58.6%) were male and 60 (41.4%) were female, with a median age of 13 years (IQR 6.6-18.7) (Table 1). Most patients resided in urban areas of southwest Colombia. Departments reporting the highest number of cases included Genetics, Neurology, Pediatrics, and Neonatology.
The most frequent craniofacial manifestations involved ocular and periocular structures, observed in 56 patients (38.6%). Findings included downward-sloping palpebral fissures, telecanthus, ocular hyper- or hypotelorism, ptosis, proptosis/exophthalmos, strabismus, and refractive disorders. Neurological features were also common: 75 patients (51.7%) had language disorders and/or intellectual disability, 38 (26.2%) had developmental complications, and 32 (22.1%) had movement disorders such as spasticity, palsy, hypotonia, or arthrogryposis (Table 2).
Of the 145 patients, 115 (79.3%) had an initial clinical diagnosis. Non-syndromic presentations accounted for 73 cases (50.3%), most commonly non-syndromic cleft lip and/or palate (46 patients; 31.7%), isolated non-syndromic craniosynostosis (13; 8.9%), and benign familial macrocephaly (10; 6.9%). Syndromic diagnoses were suspected in 42 patients (29.0%), while 30 (20.7%) lacked both clinical and suspected diagnoses (Table 2).
Genetic or molecular testing was performed in 24 patients (15.9%), yielding confirmed diagnoses in 19 cases. Thirty-eight molecular studies were performed, including 14 individual exomes (36.8%), 10 array CGH tests (26.3%), five G-band karyotypes (13.1%), five trio-exomes (13.1%), one MLPA (2.6%), one RASopathies panel (2.6%), and one AMER1 gene sequencing (2.6%). Identified syndromes included Cowden, Muenke, CHARGE, Joubert, and Pfeiffer syndromes, among others (Table 3).
Figure 1 shows a heat map of altered genes and their expression across brain tissues, demonstrating that the first 12 genes exhibited localized expression while others showed broader expression patterns. Kaplan-Meier analysis (Figure 2) indicated that 80% of patients received a clinical diagnosis by age 10 years. In contrast, only 23% received molecular confirmation within 103 months after their clinical diagnosis, with a median delay of 70 months.
4. Discussion
Most existing studies on craniofacial malformations in this population are epidemiological or focus on clinical prognosis, rather than genotypic characterization. We found no prior studies documenting the genotypic features of patients with craniofacial malformations in our population beyond well-recognized syndromes, such as craniosynostosis, cleft lip/palate, or midline malformations. In our cohort, genetic testing was performed only in patients with a strong clinical suspicion of an underlying syndrome. Notably, none of the patients with isolated craniofacial malformations underwent genetic testing to investigate a molecular explanation. Furthermore, some patients remained undiagnosed despite both clinical and genetic evaluation, while others were found to carry genetic variants that did not fully explain their phenotypic presentation.
The most common abnormalities identified on physical examination in this study were ocular and eyelid malformations, followed by cleft lip and palate. These findings contrast with a previous study conducted in Colombia, in which ear malformations were the most frequently reported anomalies [7]. Our study not only differs in identifying the eyes as the most affected anatomical region, but also highlights that ocular and eyelid malformations were more than twice as frequent as ear malformations (38.6% vs. 15.2%, respectively).
Cleft lip and palate are relatively common congenital anomalies that can present as isolated, non-syndromic conditions or as part of a Mendelian syndrome [8]. Consistent with a previous characterization study conducted in Colombia, where cleft lip/palate represented the most frequent cause of facial fissures and most cases were non-syndromic [8,9], we found that among the 72 patients with non-syndromic craniofacial anomalies, 46 had non-syndromic cleft lip/palate.
A significant diagnostic delay was observed in this cohort, both clinical and at the molecular level. As shown in Figure 2, many patients waited several years before receiving a definitive clinical diagnosis, and approximately 80% received a diagnosis within the first 10 years of life. Only 24 patients (15.8%) underwent molecular/genetic testing, and not all received a definitive diagnosis. Among those tested, several known craniofacial syndromes were identified, including Cowden syndrome, Muenke syndrome, CHARGE syndrome, and Joubert syndrome (Table 3). Cases of syndromic craniosynostosis, such as Pfeiffer syndrome caused by FGFR mutations, were also found [10,11]. For example, one female patient was diagnosed by NGS with a heterozygous FGFR2 variant (10q26.3 c.1087+1218G>C) previously reported in the Orphanet database.
We identified variants in the following genes: PTEN, OTC, EFTUD2, ACVR1, AMER1, FGFR3, RPS6KA3, CHD7, KATNIP, PTPN11, EFNB1, STK11, COCH, FGFR2, MITF, L1CAM, ANKS6, and AHDC1. In 13% of cases, molecular testing did not yield a definitive diagnosis, but variants of uncertain significance (VUS) were detected in several genes, including TP63, STAMBP, OCLN, and FRMPD4. One patient with a suspected syndromic diagnosis and reported VUS in these genes later died. A multidisciplinary board concluded that the TP63 variant was the most likely cause, and recommended segregation studies in the patients parents. Unfortunately, after the patients death, the family did not pursue further genetic counseling.
We identified novel variants associated with craniofacial malformations, as well as previously reported variants relevant to genotype-phenotype correlations. Importantly, we observed a longer delay in molecular diagnosis than reported in other countries, likely reflecting limited access to specialized, high-complexity centers in the region. Only 23% of patients with a clinical diagnosis had molecular confirmation (IQR 15% to 34%). Among those tested, the median diagnostic delay was 70 months, leading to suboptimal management, delayed interventions, and reduced rehabilitative potential.
5. Limitations
This study is limited by potential underreporting due to its retrospective design, as well as selection bias arising from the non-systematic review of clinical records. Future research should focus on systematic data collection to reduce bias and provide reliable clinical and molecular datasets. Such efforts will improve the accuracy of extrapolating findings to the general population, and ultimately support earlier diagnosis and management of patients with craniofacial malformations.
6. Conclusionss
Clinical and molecular characterization distinguishes syndromic from non-syndromic craniofacial malformations and informs comprehensive care. Significant diagnostic delays – particularly at the molecular level – highlight the urgent need for early genetic testing to guide treatment and provide timely counseling for patients and their families. Expanding access to molecular diagnostics in Latin America is critical to reducing these gaps.
Supplementary Materials
The following supporting information can be downloaded at Preprints.org: Table S1: Complete list of ICD-11 codes used for patient identification.
Author Contributions
Conceptualization, H.P. and E.C.; Methodology, D.M.-O., E.G.-P. and D.R.-M.; Software, D.M.-O.; Validation, H.P., E.C. and D.R.-M.; Formal Analysis, D.M.-O. and E.G.-P.; Investigation, D.M.-O. and E.G.-P.; Resources, H.P.; Data Curation, D.M.-O. and E.G.-P.; Writing - Original Draft Preparation, D.M.-O. and E.C.; Writing - Review and Editing, H.P., E.C. and D.R.-M.; Visualization, E.C D.M.-O.; Supervision, H.P.; Project Administration, H.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee in Biomedical Research of Fundacion Valle del Lili, Cali, Colombia (protocol code [XXX]; date of approval: [DD/MM/YYYY]).
Informed Consent Statement
Patient consent was waived due to the retrospective nature of this study and the use of de-identified data. This waiver was approved by the Ethics Committee in Biomedical Research of Fundacion Valle del Lili, Cali, Colombia.
Data Availability Statement
The data presented in this study are available on request from the corresponding author due to privacy and ethical restrictions related to patient confidentiality.
Acknowledgments
This work was supported by the staff of the Centro de Investigaciones Clinicas at Fundacion Valle del Lili and the Facultad de Ciencias de la Salud, Universidad Icesi, Cali, Colombia. We also thank Eliana Manzi for her assistance in reviewing the manuscript.
Conflicts of Interest
The authors declare no conflicts of interest. We have no financial, personal, political, or academic relationships that could have influenced this work. No monetary benefits, goods, or subsidies were received from any source with an interest in the study results. All individuals who contributed to data collection, analysis, or manuscript preparation are acknowledged appropriately and have consented to their inclusion.
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Figure 1.
Heat map of disrupted genes according to GTEx brain tissue expression. The 26 genes identified in molecularly confirmed patients are displayed across 10 brain tissue regions (x-axis, tissue labels shown below). Gene labels appear on the y-axis to the left: the first 12 genes (CHD7 through EFNB1, bold navy italic) exhibit localized expression patterns; the remaining 14 genes show broader expression across brain regions. Color scale: blue = low/absent expression; white = mid-level; red = high expression. Expression values (0-1) represent relative GTEx levels.
Figure 1.
Heat map of disrupted genes according to GTEx brain tissue expression. The 26 genes identified in molecularly confirmed patients are displayed across 10 brain tissue regions (x-axis, tissue labels shown below). Gene labels appear on the y-axis to the left: the first 12 genes (CHD7 through EFNB1, bold navy italic) exhibit localized expression patterns; the remaining 14 genes show broader expression across brain regions. Color scale: blue = low/absent expression; white = mid-level; red = high expression. Expression values (0-1) represent relative GTEx levels.

Figure 2.
Kaplan-Meier cumulative incidence curves: time from birth to clinical diagnosis (Panel A, teal solid line, n = 145) and from clinical to molecular diagnosis (Panel B, gold dashed line, n = 24). Eighty percent of patients received a clinical diagnosis by age 10 years. Only 23% received molecular confirmation within 103 months, with a median diagnostic delay of 70 months. Shaded bands represent 95% confidence intervals.
Figure 2.
Kaplan-Meier cumulative incidence curves: time from birth to clinical diagnosis (Panel A, teal solid line, n = 145) and from clinical to molecular diagnosis (Panel B, gold dashed line, n = 24). Eighty percent of patients received a clinical diagnosis by age 10 years. Only 23% received molecular confirmation within 103 months, with a median diagnostic delay of 70 months. Shaded bands represent 95% confidence intervals.

Table 1.
Sociodemographic characterization of patients (n = 145).
| Variable | Category | n | % |
| Sex | Male | 85 | 58.6 |
| Female | 60 | 41.4 | |
| Age, years | Median (IQR) | 13 (6.6-18.7) | -- |
| Insurance affiliation | Special regimen | 49 | 33.8 |
| Subsidized | -- | -- | |
| Contributive | -- | -- | |
| Prepaid/Private insurance | -- | -- | |
| Non-affiliated | -- | -- | |
| Origin | Urban | 110 | 75.9 |
| Rural | 28 | 19.3 | |
| No data | 7 | 4.8 | |
| Residence country | Colombia | 141 | 97.2 |
| Others | 4 | 2.8 | |
| Referring department | Genetics | 30 | 20.7 |
| Neurology | 27 | 18.6 | |
| Pediatrics | 22 | 15.2 | |
| Neonatology | 14 | 9.6 | |
| Plastic surgery | 12 | 8.3 | |
| Pediatric surgery | 12 | 8.3 | |
| Neurosurgery | 12 | 8.3 | |
| General practitioner | 7 | 4.8 | |
| Otorhinolaryngology | 6 | 4.1 | |
| Maxillofacial surgery | 3 | 2.1 |
Table 2.
Principal manifestations and comorbidities found (n = 145).
| System / Manifestation | Detail | % (n=145) |
| CRANIOFACIAL | ||
| Eyes and/or eyelids morphological compromise | Downward-sloping palpebral fissures, telecanthus, hypo-/hypertelorism, ptosis, proptosis, strabismus, refractive disorders | 38.6 |
| Cleft lip | Syndromic and non-syndromic forms | 33.8 |
| Craniosynostosis | Including Pfeiffer, Muenke, and non-syndromic forms | 31.0 |
| Nose morphological compromise | 30.3 | |
| Head size alteration | Macrocephaly or microcephaly (>3 SD from age-adjusted median) | 29.0 |
| Teeth morphology or positional alteration | 17.9 | |
| Ear morphological compromise | Including microtia | 15.2 |
| Cleft palate | 11.0 | |
| Facial symmetry compromise | 6.2 | |
| Mouth morphology compromise | 4.1 | |
| CARDIOTHORACIC | ||
| Interventricular/interatrial communication (IVS/IAS) | 7.6 | |
| Thoracic wall morphological compromise | 6.9 | |
| Valve disease | 4.1 | |
| Large-vessel compromise | 4.1 | |
| Other cardiopathies | 2.8 | |
| Fallots tetralogy | 1.4 | |
| Airway compromise/stenosis | 1.4 | |
| ABDOMINOPELVIC | ||
| Genitourinary malformations | Hypospadias, cryptorchidism, renal cysts, and others | 6.2 |
| Renal compromise | 4.8 | |
| Functional compromise of the digestive tract | Including swallowing disorders | 4.1 |
| Intestinal morphology malformations | Including gut malrotations | 2.8 |
| Abdominal wall compromise | 2.8 | |
| MUSCULOSKELETAL | ||
| Alteration in morphology and/or function of fingers and toes | 27.6 | |
| Morphological alteration of vertebrae or column | 17.9 | |
| Alterations in morphology of the hand (e.g., fingers) | 9.0 | |
| Morphological and/or functional alterations of hip bones and pelvic girdle | 8.3 | |
| Structural compromise of long bones | Including varo and valgus deformities | 3.4 |
| NERVOUS SYSTEM | ||
| Language disorders and/or intellectual disability | 51.7 | |
| Functional alterations of the CNS | Including delayed psychomotor development | 26.2 |
| Morphological alterations of the CNS | Encephalocele, anencephaly, Dandy-Walker syndrome | 22.1 |
| Movement disorders | Spastic and flaccid palsy, hypotonia, and arthrogryposis | 22.1 |
| Convulsive syndromes, including epilepsy | 9.0 | |
| Hydrocephalus | 4.8 | |
| Peripheral nervous system manifestations | Including inferior motor neuron syndrome and cranial nerve palsy | 4.1 |
| Defect in CNS-related bone structures | Including malformations of the sella turcica | 2.8 |
| DERMATOLOGICAL | ||
| Dermatitis | 4.8 | |
| Cafe-au-lait spots | 4.8 | |
| Acne and skin infections | 2.1 | |
Table 3.
Molecular tests and diagnoses (n = 24 patients; 19 confirmed, 3 unclear, 2 VUS only). * Hemizygous variant.
Table 3.
Molecular tests and diagnoses (n = 24 patients; 19 confirmed, 3 unclear, 2 VUS only). * Hemizygous variant.
| Patient | Diagnosis (MIM) | Molecular Study | Genetic Variant | Classification |
| CF038 | CHARGE syndrome (MIM 214800) | Exome sequencing | CHD7 (NM_017780.3): c.7803C>A (p.Tyr2601*) | Pathogenic |
| CF039 | 9p deletion associated syndrome | Array CGH | arr[GRCh37] 9p24.3p22.2(204090_18326816)x1, 18.12 Mb | Pathogenic |
| CF041 | Pfeiffer syndrome (MIM 101600) | NGS panel | FGFR2 10q26.3 c.1087+1218G>C | Pathogenic |
| CF46 | Turner syndrome (MIM 309585) | G-band karyotype | 46,X,(X)(p11.4) | Pathogenic |
| CF054 | Partial trisomy chr. 7 and partial monosomy chr. X | Exome + Array CGH | HEXA (NM_000520.5) c.459+5G>A p.? (carrier); arr[GRCh37] 7q21.3q36.3x3, Xq22.3q23x3, Xq23q28x1 | Pathogenic |
| CF068 | Dev. epileptic encephalopathy 93 (618012) | Exome sequencing | ATP6V1A (NM_001690.4): c.299A>T (p.Asp100Val) | Likely pathogenic |
| CF072 | Noonan syndrome (MIM 163950) | NGS panel for RASopathies | PTPN11 (NM_002834.3): c.923A>G (p.Asn308Ser) | Pathogenic |
| CF102 | Osteopathia striata with cranial sclerosis (MIM 300373) | Specific gene sequencing | AMER1 (NM_152424.4): c.1230G>A (p.Trp410*) | Likely pathogenic |
| CF116 | Xia-Gibbs syndrome (MIM 615829) | Exome sequencing | AHDC1 (NM_001029882.3): c.1529delG (p.Gly510Alafs*12) | Likely pathogenic |
| CF130 | Deafness / Peutz-Jeghers syndrome (MIM 303600) | Exome + Array CGH | COCH c.442C>T (p.Arg148Ter) LP; EEF1AKNMT c.1576G>A (p.Asp526Asn) VUS; del 19p13.3 (STK11) | Likely path./VUS |
| CF134 | Jouberts syndrome (MIM 616784) | Exome | KATNIP (NM_015202.5): c.49C>T (p.Arg17Ter) P + c.4711A>G (p.Ser1571Gly) P (compound het.) | Pathogenic |
| CF135 | Type 2 Waardenburg syndrome | Exome | MITF (NM_001354604.2): c.1031+1G>C; p.? | Pathogenic |
| CF136 | Muenkes syndrome (MIM 602849) | Exome | FGFR3 (NM_001354809.2): c.749C>G (p.Pro250Arg) | Likely pathogenic |
| CF138 | Mandibulofacial dysostosis Guion-Almeida (MIM 610536) | Exome | EFTUD2 (NM_004247.4): c.446T>A (p.Leu149Ter) | Likely pathogenic |
| CF140 | Hydrocephaly linked to L1CAM gene mutation (MIM 307000) | Exome | L1CAM (NM_001278116.2): c.1267+1G>A; p.? | Pathogenic |
| CF145 | Coffin-Lowry syndrome (MIM 303600) | Exome | RPS6KA3 (NM_004586.3): c.734A>G (p.His245Arg) LP*; RERE c.4501dup (p.Arg1501ProfsTer2) LP | Likely pathogenic |
| CF146 | Cowden Syndrome 1 (MIM 158350) | Exome | PTEN 10q23.31 (NM_001304717.5): c.821T>C (p.Ile274Thr) | Pathogenic |
| CF148 | Ornithine transcarbamylase deficiency (MIM 311250) | Exome | OTC Xp11.4 (NM_000531.6): c.524A>C (p.Asp175Ala) [hemizygous*] | Likely pathogenic |
| CF150 | Craniofrontonasal dysplasia (MIM 304110) | Exome | EFNB1 Xq13.1 (NM_004429.5): c.374A>C (p.Glu125Ala) [hemizygous*, X-linked] | Likely pathogenic |
| CF119 | Suspected Gorlin-Goltz / 9q22q31 deletion syndrome | Array CGH + MLPA | arr[GRCh37] 9q22.31q31.1(94871267_106935060)x1, 12 Mb. Gene: PTCH1. Other: SPTLC1, IARS2, ASPN, BICD2, FBP1, FANCC, XPA, FOXE1, GABBR2, ANKS6, TGFBR1, INVS; Del. Gene: PTCH1 (MLPA) | Likely pathogenic |
| CF126 | Suspected Meckel-Gruber / CHARGE syndrome | Exome + Array CGH | ANKS6 (NM_173551.5): c.1683_1698dupCCTACCCCCTTCCAGT LP; arr r(1-22)x2,(X,Y)x1 dup 205 kb 8q12.1-q12.2 (RAB2A and CHD7) VUS | Likely path./VUS |
| CF127 | Non-diagnosed | Exome | TP63 c.152G>A (p.Ser51Asn) VUS; STAMBP c.499G>A (p.Glu167Lys) VUS; OCLN c.469G>T (p.Val157Phe) VUS; FRMPD4 c.5048T>C (p.Leu1683Ser) VUS | VUS (x4) |
CGH: comparative genomic hybridization; del: deletion; dup: duplication; het.: heterozygous; LP: likely pathogenic; MIM: Mendelian Inheritance in Man; NGS: next-generation sequencing; P: pathogenic; VUS: variant of uncertain significance. Of the 24 patients who underwent molecular testing, 19 received confirmation of the initial diagnostic hypothesis. Three patients had molecular studies with unclear diagnoses, and two had suspected Pierre Robin sequence with studies reporting only VUS variants.
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