Novel De NovoEFTUD2 Mutations in 2 Cases With MFDM, Initially Suspected to Have Alternative Craniofacial Diagnoses

2018 ◽  
Vol 56 (5) ◽  
pp. 674-678 ◽  
Author(s):  
Jennie C. Lacour ◽  
Lori McBride ◽  
Hugo St. Hilaire ◽  
Gerhard S. Mundinger ◽  
Michael Moses ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
De Novo ◽  
Elongation Factor ◽  
Elongation Factor Tu ◽  
De Novo Mutations ◽  
Gtp Binding ◽  
Phenotypic Spectrum ◽  
Whole Exome ◽  
Mandibulofacial Dysostosis

We report 2 cases of mandibulofacial dysostosis with microcephaly (MFDM) with different and novel de novo mutations in the elongation factor Tu GTP binding domain containing 2 gene. Both cases were initially thought to have alternative disorders but were later correctly diagnosed through whole-exome sequencing. These cases expand upon our knowledge of the phenotypic spectrum in patients with MFDM, which will aid in defining the full phenotype of this disorder and increase awareness of this condition.

scholarly journals Identification of a β-Arrestin 2 Mutation Related to Autism by Whole-Exome Sequencing

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yunfei Tang ◽  
Yamei Liu ◽  
Lei Tong ◽  
Shini Feng ◽  
Dongshu Du ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Developmental Stages ◽  
De Novo ◽  
Repetitive Behavior ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Potential Contribution ◽  
De Novo Mutations ◽  
Whole Exome

Autism spectrum disorder (ASD) is a complex neurological disease characterized by impaired social communication and interaction skills, rigid behavior, decreased interest, and repetitive activities. The disease has a high degree of genetic heterogeneity, and the genetic cause of ASD in many autistic individuals is currently unclear. In this study, we report a patient with ASD whose clinical features included social interaction disorder, communication disorder, and repetitive behavior. We examined the patient’s genetic variation using whole-exome sequencing technology and found new de novo mutations. After analysis and evaluation, ARRB2 was identified as a candidate gene. To study the potential contribution of the ARRB2 gene to the human brain development and function, we first evaluated the expression profile of this gene in different brain regions and developmental stages. Then, we used weighted gene coexpression network analysis to analyze the associations between ARRB2 and ASD risk genes. Additionally, the spatial conformation and stability of the ARRB2 wild type and mutant proteins were examined by simulations. Then, we further established a mouse model of ASD. The results showed abnormal ARRB2 expression in the mouse ASD model. Our study showed that ARRB2 may be a risk gene for ASD, but the contribution of de novo ARRB2 mutations to ASD is unclear. This information will provide references for the etiology of ASD and aid in the mechanism-based drug development and treatment.

scholarly journals Case Report: Identification of a de novo Microdeletion 1q44 in a Patient With Seizures and Developmental Delay

2021 ◽  
Vol 12 ◽  
Author(s):  
Yiehen Tung ◽  
Haiying Lu ◽  
Wenxin Lin ◽  
Tingting Huang ◽  
Samuel Kim ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
De Novo ◽  
Clinical Symptoms ◽  
Karyotype Analysis ◽  
Microdeletion Syndrome ◽  
Phenotypic Spectrum ◽  
Whole Exome ◽  
Number Variation ◽  
History Of

Objective: 1q44 microdeletion syndrome is difficult to diagnose due to the wide phenotypic spectrum and strong genetic heterogeneity. We explore the correlation between the chromosome microdeletions and phenotype in a child with 1q44 microdeletion syndrome, we collected the clinical features of the patient and combined them with adjacent copy number variation (CNV) regions previously reported.Methods: We collected the full medical history of the patient and summarized her clinical symptoms. Whole-exome sequencing (WES) and CapCNV analysis were performed with DNA extracted from both the patient's and her parents' peripheral blood samples. Fluorescent quantitative PCR (q-PCR) was performed for the use of verification to the CNV regions.Results: A 28.7 KB microdeletion was detected in the 1q44 region by whole-exome sequencing and low-depth whole-genome sequencing. The deleted region included the genes COX20 and HNRNPU. As verification, karyotype analysis showed no abnormality, and the results of qPCR were consistent with that of whole-exome sequencing and CapCNV analysis.Conclusion: The patient was diagnosed with 1q44 microdeletion syndrome with clinical and genetic analysis. Analyzing both whole-exome sequencing and CapCNV analysis can not only improve the diagnostic rate of clinically suspected syndromes that present with intellectual disability (ID) and multiple malformations but also support further study of the correlation between CNVs and clinical phenotypes. This study lays the foundation for the further study of the pathogenesis of complex diseases.

scholarly journals De novo mutations revealed by whole-exome sequencing are strongly associated with autism

Nature ◽  
2012 ◽  
Vol 485 (7397) ◽  
pp. 237-241 ◽  
Author(s):  
Stephan J. Sanders ◽  
Michael T. Murtha ◽  
Abha R. Gupta ◽  
John D. Murdoch ◽  
Melanie J. Raubeson ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
De Novo ◽  
De Novo Mutations ◽  
Whole Exome

scholarly journals Marfan syndrome: whole-exome sequencing reveals de novo mutations, second gene and genotype–phenotype correlations in the Chinese population

2020 ◽  
Vol 40 (12) ◽  
Author(s):  
Yuduo Wu ◽  
Hairui Sun ◽  
Jianbin Wang ◽  
Xin Wang ◽  
Ming Gong ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Marfan Syndrome ◽  
Whole Exome Sequencing ◽  
Chinese Population ◽  
De Novo ◽  
Low Frequency ◽  
Monogenic Disease ◽  
De Novo Mutations ◽  
Fbn1 Gene ◽  
Whole Exome

Abstract Marfan syndrome (MFS) is a dominant monogenic disease caused by mutations in fibrillin 1 (FBN1). Cardiovascular complications are the leading causes of mortality among MFS. In the present study, a whole-exome sequencing of MFS in the Chinese population was conducted to investigate the correlation between FBNI gene mutation and MFS. Forty-four low-frequency harmful loci were identified for the FBN1 gene in HGMD database. In addition, 38 loci were identified in the same database that have not been related to MFS before. A strict filtering and screening protocol revealed two patients of the studied group have double mutations in the FBN1 gene. The two patients harboring the double mutations expressed a prominent, highly pathological phenotype in the affected family. In addition to the FBN1 gene, we also found that 27 patients had mutations in the PKD1 gene, however these patients did not have kidney disease, and 16 of the 27 patients expressed aortic related complications. Genotype-phenotype analysis showed that patients with aortic complications are older in the family, aged between 20 and 40 years.

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