New Genetic Variants of RUNX2 in Mexican Families Cause Cleidocranial Dysplasia.
Jaime Toral-LópezSandra Gómez MartinezMaría Del Refugio Rivera VegaEdgar Hernández-ZamoraSergio Cuevas CovarrubiasBelem Arely Ibarra CastrejónLuz María González HuertaPublished in: Biology (2024)
Cleidocranial dysplasia (CCD) is an autosomal dominant skeletal dysplasia characterized by persistent open skull sutures with bulging calvaria, hypoplasia, or aplasia of clavicles permitting abnormal opposition of the shoulders; wide public symphysis; short middle phalanx of the fifth fingers; and vertebral, craniofacial, and dental anomalies. It is a rare disease, with a prevalence of 1-9/1,000,000, high penetrance, and variable expression. The gene responsible for CCD is the Runt-related transcription factor 2 ( RUNX2 ) gene. We characterize the clinical, genetic, and bioinformatic results of four CCD cases: two cases within Mexican families with six affected members, nine asymptomatic individuals, and two sporadic cases with CCD, with one hundred healthy controls. Genomic DNA analyses of the RUNX2 gene were performed for Sanger sequencing. Bioinformatics tools were used to predict the function, stability, and structural changes of the mutated RUNX2 proteins. Three novel heterozygous mutations (c.651_652delTA; c.538_539delinsCA; c.662T>A) and a previously reported mutation (c.674G>A) were detected. In silico analysis showed that all mutations had functional, stability-related, and structural alterations in the RUNX2 protein. Our results show novel mutations that enrich the pool of RUNX2 gene mutations with CCD. Moreover, the proband 1 presented clinical data not previously reported that could represent an expanded phenotype of severe expression.
Keyphrases
- transcription factor
- genome wide identification
- copy number
- genome wide
- dna binding
- poor prognosis
- healthcare
- binding protein
- early onset
- mental health
- risk factors
- electronic health record
- single molecule
- machine learning
- big data
- drug induced
- body composition
- adverse drug
- deep learning
- data analysis
- circulating tumor