Dual diagnosis of achondroplasia and mandibulofacial dysostosis with microcephaly [PDF]
Background Achondroplasia and mandibulofacial dysostosis with microcephaly (MFDM) are rare monogenic, dominant disorders, caused by gain-of-function fibroblast growth factor receptor 3 (FGFR3) gene variants and loss-of-function elongation factor Tu GTP ...
Ekaterina Lyulcheva-Bennett +9 more
doaj +3 more sources
Atypical mandibulofacial dysostosis with microcephaly diagnosed through the identification of a novel pathogenic mutation in EFTUD2 [PDF]
Background Mandibulofacial dysostosis with microcephaly (MFDM, OMIM# 610536) is a rare monogenic disease that is caused by a mutation in the elongation factor Tu GTP binding domain containing 2 gene (EFTUD2, OMIM* 603892).
Ying Chen +9 more
doaj +3 more sources
A de novo synonymous variant in EFTUD2 disrupts normal splicing and causes mandibulofacial dysostosis with microcephaly: case report [PDF]
Background Mandibulofacial dysostosis with microcephaly (MFDM) is a rare autosomal dominant genetic disease characterized by intellectual and growth retardations, as well as major microcephaly, induced by missense and splice site variants or ...
Arthur Jacob +10 more
doaj +3 more sources
Novel Splice Site Pathogenic Variant of EFTUD2 Is Associated with Mandibulofacial Dysostosis with Microcephaly and Extracranial Symptoms in Korea [PDF]
Elongation factor Tu guanosine-5’-triphosphate (GTP) binding domain containing 2 (EFTUD2) encodes a major component of the spliceosomal GTPase and, if mutated, causes mandibulofacial dysostosis with microcephaly (MFDM; MIM#610536). Despite the increasing
So Young Kim +3 more
doaj +3 more sources
Mandibulofacial dysostosis with alopecia results from ETAR gain-of-function mutations via allosteric effects on ligand binding [PDF]
Mutations of G protein–coupled receptors (GPCRs) cause various human diseases, but the mechanistic details are limited. Here, we establish p.E303K in the gene encoding the endothelin receptor type A (ETAR/EDNRA) as a recurrent mutation causing ...
Yukiko Kurihara +12 more
doaj +3 more sources
AI-based diagnosis in mandibulofacial dysostosis with microcephaly using external ear shapes [PDF]
IntroductionMandibulo-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
Quentin Hennocq +38 more
doaj +2 more sources
Recurrent mandibulofacial dysostosis, Guion-Almeida type in consecutive pregnancies due to maternal mosaicism of a novel EFTUD2 variant: a case report and review of the literature [PDF]
Background Mandibulofacial dysostosis, Guion-Almeida type is an autosomal dominant disorder characterized by craniofacial malformations and intellectual disability.
Bing Wang +3 more
doaj +2 more sources
Molecular Characterisation of Treacher Collins Syndrome in a South African Cohort: Novel Disease-Causing Variants in TCOF1 and POLR1D. [PDF]
Targeted next‐generation sequencing of South African patients with suspected Treacher Collins syndrome identified pathogenic variants in six cases, including multiple novel TCOF1 and POLR1D variants. These findings expand the African mutational spectrum and support panel‐based testing to improve diagnosis and genetic counselling in resource‐limited ...
Nevondwe P +6 more
europepmc +2 more sources
Mandibulofacial dysostosis (Treacher Collins syndrome): A case report and review of literature [PDF]
Treacher Collins syndrome (TCS) or Franceschetti syndrome is an autosomal dominant disorder of craniofacial development with variable phenotypic expression. It presents with characteristic facial appearance enabling it to be easily recognizable.
Raj Renju +3 more
doaj +2 more sources
Evaluation of a Facial Dysmorphology Analysis Algorithm (Face2Gene) in Identifying Treacher Collins Syndrome Amongst Diverse Population. [PDF]
ABSTRACT Background Treacher Collins Syndrome (TCS) is an uncommon congenital disease of the craniofacial complex. While there are ‘classic’ facial manifestations of TCS, they present with a wide range of variability. Face2Gene (F2G) is a deep‐learning algorithm that can provide differential diagnoses of syndromes via analysis of 2‐dimensional facial ...
Sng JHT, Hue JJJ, Rubio-Palau J.
europepmc +2 more sources

