Novel Splice Site Pathogenic Variant of EFTUD2 Is Associated with Mandibulofacial Dysostosis with Microcephaly and Extracranial Symptoms in Korea

A Brief Analysis on Clinical Severity of Mandibulofacial Dysostosis Guion-Almeida Type

OBJECTIVE

Genetic variants in EFTUD2 were proven to influence variable phenotypic expressivity in mandibulofacial dysostosis Guion-Almeida type (MFDGA) or mandibulofacial dysostosis with microcephaly (MFDM). Yet, the association between the severity of clinical findings with variants within the EFTUD2 gene has not been established. Thus, we aim to elucidate a possible genotype-phenotype correlation in MFDM.

METHODS

Forty articles comprising 156 patients were evaluated. The genotype-phenotype correlation was analyzed using a chi-square or Fisher's exact test.

RESULTS

The proportion of patients with MFDM was higher in Caucasian relative to Asian populations. Although, in general, there was no apparent genotype-phenotype correlation in patients with MFDM, Asians tended to have more severe clinical manifestations than Caucasians. In addition, cardiac abnormality presented in patients with intronic variants located in canonical splice sites was a predisposing factor in affecting MFDM severity.

CONCLUSION

Altogether, this article provides the pathogenic variants observed in EFTUD2 and possible genotype-phenotype relationships in this disease.

AI-based diagnosis in mandibulofacial dysostosis with microcephaly using external ear shapes

Introduction

Mandibulo-Facial Dysostosis with Microcephaly (MFDM) is a rare disease with a broad spectrum of symptoms, characterized by zygomatic and mandibular hypoplasia, microcephaly, and ear abnormalities. Here, we aimed at describing the external ear phenotype of MFDM patients, and train an Artificial Intelligence (AI)-based model to differentiate MFDM ears from non-syndromic control ears (binary classification), and from ears of the main differential diagnoses of this condition (multi-class classification): Treacher Collins (TC), Nager (NAFD) and CHARGE syndromes.

Methods

The training set contained 1,592 ear photographs, corresponding to 550 patients. We extracted 48 patients completely independent of the training set, with only one photograph per ear per patient. After a CNN-(Convolutional Neural Network) based ear detection, the images were automatically landmarked. Generalized Procrustes Analysis was then performed, along with a dimension reduction using PCA (Principal Component Analysis). The principal components were used as inputs in an eXtreme Gradient Boosting (XGBoost) model, optimized using a 5-fold cross-validation. Finally, the model was tested on an independent validation set.

Results

We trained the model on 1,592 ear photographs, corresponding to 1,296 control ears, 105 MFDM, 33 NAFD, 70 TC and 88 CHARGE syndrome ears. The model detected MFDM with an accuracy of 0.969 [0.838-0.999] (p < 0.001) and an AUC (Area Under the Curve) of 0.975 within controls (binary classification). Balanced accuracies were 0.811 [0.648-0.920] (p = 0.002) in a first multiclass design (MFDM vs. controls and differential diagnoses) and 0.813 [0.544-0.960] (p = 0.003) in a second multiclass design (MFDM vs. differential diagnoses).

Conclusion

This is the first AI-based syndrome detection model in dysmorphology based on the external ear, opening promising clinical applications both for local care and referral, and for expert centers.

Improving genetic diagnosis by disease-specific, ACMG/AMP variant interpretation guidelines for hearing loss

The 2018 Hearing Loss Expert Panel (HL-EP)-specific guidelines specified from the universal 2015 ACMG/AMP guidelines are proposed to be used in genetic HL, which prompted this study. A genetic HL cohort comprising 135 unrelated probands with available exome sequencing data was established. Overall, 169 variants were prioritized as candidates and interpreted using the 2015 ACMG/AMP and 2018 HL-EP guidelines. Changes in rule application and variant classification between the guidelines were compared. The concordance rate of variant classification of each variant between the guidelines was 71.60%, with significant difference. The proportion of pathogenic variants increased from 13.02% (2015) to 29.59% (2018). Variant classifications of autosomal recessive (AR) variants that previously belonged to VUS or likely pathogenic in the 2015 guidelines were changed toward pathogenic in the 2018 guidelines more frequently than those of autosomal dominant variants (29.17% vs. 6.38%, P = 0.005). Stratification of the PM3 and PP1 rules in the 2018 guidelines led to more substantial escalation than that in the 2015 guidelines. We compared the disease-specific guidelines (2018) with the universal guidelines (2015) using real-world data. Owing to the sophistication of case-level data, the HL-specific guidelines have more explicitly classified AR variants toward "likely pathogenic" or "pathogenic", serving as potential references for other recessive genetic diseases.

A de novo start-loss in EFTUD2 associated with mandibulofacial dysostosis with microcephaly: case report

Mandibulofacial dysostosis with microcephaly (MFDM) is a rare genetic disorder inherited in an autosomal dominant pattern. Major characteristics include developmental delay, craniofacial malformations such as malar and mandibular hypoplasia, and ear anomalies. Here, we report a 4.5-yr-old female patient with symptoms fitting MFDM. Using whole-genome sequencing, we identified a de novo start-codon loss (c.3G > T) in the EFTUD2. We examined EFTUD2 expression in the patient by RNA sequencing and observed a notable functional consequence of the variant on gene expression in the patient. We identified a novel variant for the development of MFDM in humans. To the best of our knowledge, this is the first report of a start-codon loss in EFTUD2 associated with MFDM.

A novel de novo missense mutation in EFTUD2 identified by whole-exome sequencing in mandibulofacial dysostosis with microcephaly

Background

Mandibulofacial dysostosis with microcephaly (MFDM) is a rare multiple malformation syndrome characterized by malar and mandibular hypoplasia and congenital‐ or postnatal‐onset microcephaly induced by haploinsufficiency of (elongation factor Tu GTP‐binding domain‐containing 2) EFTUD2.

Methods

We report the case of a 16‐month‐old boy with MFDM symptoms, including malar and mandibular hypoplasia, microcephaly, micrognathia, midline cleft palate, microtia, auditory canal atresia, severe sensorineural hearing loss, and developmental delay. Whole‐exome sequencing (WES) analysis of the patient's family was performed to identify the genetic etiology responsible for this phenotype.

Results

We identified a novel de novo missense mutation (c.671G>T, p.Gly224Val) in the EFTUD2. According to the American College of Medical Genetics and Genomics (ACMG) 2015 guidelines, the c.671G>T mutation was classified as likely pathogenic (PS2, PM1, PM2, and PP3). Based on our findings, prenatal diagnosis was performed on the second baby of the proband's parents to exclude the mutation and it was confirmed that the baby did not have the MFDM phenotype after 14 months of follow‐up. Furthermore, the zebrafish model confirmed that the EFTUD2 c.671G>T mutation caused a loss of gene function in EFTUD2, and the pathogenicity of the EFTUD2 c.671G>T mutation was classified as pathogenic (PS2, PS3, PM1, and PM2).

Conclusion

Our results indicate that WES is a useful tool for identifying potentially pathogenic mutations, particularly in rare disorders, and is advantageous for genetic counseling and subsequent prenatal diagnosis. Moreover, the importance of functional assays cannot be underestimated, which could further confirm the pathogenicity of the genetic variants.

Clinical and molecular delineation of mandibulofacial dysostosis with microcephaly in six Korean patients: When to consider EFTUD2 analysis?

Mandibulofacial dysostosis with microcephaly (MFDM, OMIM#610536) is an extremely rare genetic syndrome characterised by microcephaly, external ear deformity, hearing loss, and distinct facial appearance, including zygomatic hypoplasia and micrognathia. Occasionally, various malformations in other internal organs, including oesophageal atresia or tracheoesophageal fistula, may lead to life-threatening situations. Haploinsufficiency of EFTUD2 is responsible for MFDM. Here, we present the phenotypic and genetic characteristics of six Korean children who were diagnosed with MFDM by molecular genetic testing. All but one patient had occipitofrontal circumferences below the -2.0 standard deviation score. Micrognathia was identified in all patients. A cleft palate (66.7%) and other facial dysmorphisms, including facial asymmetry (50%) and malar hypoplasia (50%), were also frequently observed. Hearing loss was observed in all patients along with one or more internal and external ear deformities, including ossicular anomalies, auditory canal stenosis, and microtia. Two patients (33.3%) had undergone surgery for tracheoesophageal fistula type C. Most patients were initially misdiagnosed as other better-known syndromes with overlapping characteristics, such as Treacher Collins or CHARGE syndrome. The first three patients were diagnosed using exome sequencing. However, after increased awareness of MFDM in the first three patients, MFDM was considered one of the initial differential diagnoses and could be diagnosed by target gene analysis in the remaining three cases. Thus, we recommend targeted EFTUD2 analysis as the initial workup for the rapid diagnosis of MFDM in patients with facial dysostosis, microcephaly, and otologic problems.

[Clinical case analysis and literature review of mandibulofacial dysostosis with microcephaly syndrome]

Objective:To explore the clinical diagnosis, otological treatment and molecular etiology in a rare syndromic hearing loss case characterized by mandibulofacial dysostosis with microcephaly（MFDM）. Methods: The proband underwent detailed history collection, systematic physical examination and phenotypic analysis, as well as audiological examination, chest X-ray, temporal bone CT and brain MRI and other imaging examinations. The blood DNA of the proband and his parents was extracted and tested by the whole exom sequencing. The EFTUD2-related-MFDM literatures published by the end of 2020 were searched and sifted in PubMed and CNKI databases,the clinical characteristics of MFDM were summarized. Results:In this study, the patient presented with hypoplasia of auricle, micrognathia, microcephaly, developmental retardation, severe sensorineural hearing loss in both ears, and developmental malformation of middle and inner ear. Genetic analysis revealed a de novo deletion c.623_624delAT in EFTUD2 gene. According to the clinical features and genetic test results, the patient was diagnosed as MFDM. In order to solve the problem of hearing loss, the patient was further performed bilateral cochlear implantation, and part of the electrodes responded well during and after operation. Conclusion:This is the first domestic reported case of MFDM caused by EFTUD2 gene mutation. The key problem of cochlear implantation for this kind of patient is to avoid damaging the malformed facial nerve during the operation.The effect of speech rehabilitation after cochlear implant operation is related to many factors such as intelligence development of the patients.

Powerful use of automated prioritization of candidate variants in genetic hearing loss with extreme etiologic heterogeneity

Variant prioritization of exome sequencing (ES) data for molecular diagnosis of sensorineural hearing loss (SNHL) with extreme etiologic heterogeneity poses a significant challenge. This study used an automated variant prioritization system (“EVIDENCE”) to analyze SNHL patient data and assess its diagnostic accuracy. We performed ES of 263 probands manifesting mild to moderate or higher degrees of SNHL. Candidate variants were classified according to the 2015 American College of Medical Genetics guidelines, and we compared the accuracy, call rates, and efficiency of variant prioritizations performed manually by humans or using EVIDENCE. In our in silico panel, 21 synthetic cases were successfully analyzed by EVIDENCE. In our cohort, the ES diagnostic yield for SNHL by manual analysis was 50.19% (132/263) and 50.95% (134/263) by EVIDENCE. EVIDENCE processed ES data 24-fold faster than humans, and the concordant call rate between humans and EVIDENCE was 97.72% (257/263). Additionally, EVIDENCE outperformed human accuracy, especially at discovering causative variants of rare syndromic deafness, whereas flexible interpretations that required predefined specific genotype–phenotype correlations were possible only by manual prioritization. The automated variant prioritization system remarkably facilitated the molecular diagnosis of hearing loss with high accuracy and efficiency, fostering the popularization of molecular genetic diagnosis of SNHL.