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1.
Hum Mutat ; 43(7): 900-918, 2022 07.
Article in English | MEDLINE | ID: mdl-35344616

ABSTRACT

Robinow syndrome is characterized by a triad of craniofacial dysmorphisms, disproportionate-limb short stature, and genital hypoplasia. A significant degree of phenotypic variability seems to correlate with different genes/loci. Disturbances of the noncanonical WNT-pathway have been identified as the main cause of the syndrome. Biallelic variants in ROR2 cause an autosomal recessive form of the syndrome with distinctive skeletal findings. Twenty-two patients with a clinical diagnosis of autosomal recessive Robinow syndrome were screened for variants in ROR2 using multiple molecular approaches. We identified 25 putatively pathogenic ROR2 variants, 16 novel, including single nucleotide variants and exonic deletions. Detailed phenotypic analyses revealed that all subjects presented with a prominent forehead, hypertelorism, short nose, abnormality of the nasal tip, brachydactyly, mesomelic limb shortening, short stature, and genital hypoplasia in male patients. A total of 19 clinical features were present in more than 75% of the subjects, thus pointing to an overall uniformity of the phenotype. Disease-causing variants in ROR2, contribute to a clinically recognizable autosomal recessive trait phenotype with multiple skeletal defects. A comprehensive quantitative clinical evaluation of this cohort delineated the phenotypic spectrum of ROR2-related Robinow syndrome. The identification of exonic deletion variant alleles further supports the contention of a loss-of-function mechanism in the etiology of the syndrome.


Subject(s)
Craniofacial Abnormalities , Dwarfism , Limb Deformities, Congenital , Receptor Tyrosine Kinase-like Orphan Receptors , Urogenital Abnormalities , Craniofacial Abnormalities/diagnosis , Craniofacial Abnormalities/genetics , Dwarfism/diagnosis , Dwarfism/genetics , Genes, Recessive , Humans , Limb Deformities, Congenital/diagnosis , Limb Deformities, Congenital/genetics , Male , Phenotype , Receptor Tyrosine Kinase-like Orphan Receptors/genetics , Urogenital Abnormalities/diagnosis , Urogenital Abnormalities/genetics
2.
Hear Res ; 370: 181-188, 2018 12.
Article in English | MEDLINE | ID: mdl-30390570

ABSTRACT

Syndromic hearing loss accounts for approximately 30% of all cases of hearing loss due to genetic causes. Mutation screening in known genes is important because it potentially sheds light on the genetic etiology of hearing loss and helps in genetic counseling of families. In this study, we describe a customized Ion AmpliSeq Panel, specifically designed for the investigation of syndromic hearing loss. The Ion AmpliSeq Panel was customized to cover the coding sequences of 52 genes. Twenty-four patients were recruited: 17 patients with a clinical diagnosis of a known syndrome, and seven whose clinical signs did not allow identification of a syndrome. Of 24 patients sequenced, potentially causative mutations were found in nine, all of which belonged to the group with a previous clinical diagnostic and none in the group not clinically diagnosed. We were able to provide conclusive molecular diagnosis to six patients, constituting a diagnostic rate of 25% (6/24). In the group of patients with a suspected clinical diagnosis, the diagnostic rate was 35% (6/17). Of the nine different mutations identified, three are novel, and were found in patients with Waardenburg, Treacher Collins and CHARGE syndromes. Since all patients with a conclusive molecular diagnosis through this panel had a previous suspected clinical diagnosis, our results suggest that this panel was more effective in diagnosing this group of patients. Therefore, the panel demonstrated effectiveness in molecular diagnosis when compared to others in the literature, especially for patients with a defined clinical diagnosis.


Subject(s)
DNA Mutational Analysis/methods , Hearing Loss/genetics , Hearing/genetics , High-Throughput Nucleotide Sequencing , Mutation , Genetic Association Studies , Genetic Markers , Genetic Predisposition to Disease , Hearing Loss/diagnosis , Hearing Loss/physiopathology , Humans , Phenotype , Predictive Value of Tests , Reproducibility of Results , Syndrome
3.
Oncotarget ; 6(28): 24599-610, 2015 Sep 22.
Article in English | MEDLINE | ID: mdl-26337206

ABSTRACT

Quaking (QKI) is a tumor-suppressor gene encoding a conserved RNA-binding protein, whose expression is downregulated in several solid tumors. Here we report that QKI plays an important role in the immune response and suppression of leukemogenesis. We show that the expression of Qki is reduced in lipopolysaccharide (LPS)-challenged macrophages, suggesting that Qki is a key regulator of LPS signaling pathway. Furthermore, LPS-induced downregulation of Qki expression is miR-155-dependent. Qki overexpression impairs LPS-induced phosphorylation of JNK and particularly p38 MAPKs, in addition to increasing the production of anti-inflammatory cytokine IL-10. In contrast, Qki ablation decreases Fas expression and the rate of Caspase3/7 activity, while increasing the levels of IL-1α, IL-1ß and IL-6, and p38 phosphorylation. Similarly, the p38 pathway is also a target of QKI activity in chronic lymphocytic leukemia (CLL)-derived MEC2 cells. Finally, B-CLL patients show lower levels of QKI expression compared with B cells from healthy donor, and Qki is similarily downregulated with the progression of leukemia in Eµ-miR-155 transgenic mice. Altogether, these data implicate QKI in the pathophysiology of inflammation and oncogenesis where miR-155 is involved.


Subject(s)
B-Lymphocytes/metabolism , Inflammation/metabolism , Leukemia, Lymphocytic, Chronic, B-Cell/metabolism , Macrophages/metabolism , MicroRNAs/metabolism , RNA-Binding Proteins/metabolism , Animals , Apoptosis Regulatory Proteins/metabolism , B-Lymphocytes/immunology , B-Lymphocytes/pathology , Case-Control Studies , Cytokines/metabolism , Humans , Immunity, Innate , Inflammation/genetics , Inflammation/immunology , Inflammation/pathology , Leukemia, Lymphocytic, Chronic, B-Cell/genetics , Leukemia, Lymphocytic, Chronic, B-Cell/immunology , Leukemia, Lymphocytic, Chronic, B-Cell/pathology , Lipopolysaccharides/pharmacology , Macrophages/drug effects , Macrophages/immunology , Macrophages/pathology , Mice , Mice, Transgenic , MicroRNAs/genetics , Mitogen-Activated Protein Kinases/metabolism , Phosphorylation , RAW 264.7 Cells , RNA-Binding Proteins/genetics , Signal Transduction , Time Factors , Transfection , U937 Cells
4.
Dis Markers ; 32(4): 247-53, 2012.
Article in English | MEDLINE | ID: mdl-22430191

ABSTRACT

This study aimed to evaluate in the Brazilian population, the genotypes and population frequencies of pharmacogenetic polymorphisms involved in the response to drugs used in treatment of acute lymphoblastic leukemia (ALL), and to compare the data with data from the HapMap populations. There was significant differentiation between most population pairs, but few associations between genetic ancestry and SNPs in the Brazilian population were observed. AMOVA analysis comparing the Brazilian population to all other populations retrieved from HapMap pointed to a genetic proximity with the European population. These associations point to preclusion of the use of genetic ancestry as a proxy for predicting drug response. In this way, any study aiming to correlate genotype with drug response in the Brazilian population should be based on pharmacogenetic SNP genotypes.


Subject(s)
Antineoplastic Agents/pharmacokinetics , Polymorphism, Single Nucleotide , Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy , Racial Groups/genetics , Antimetabolites, Antineoplastic/pharmacokinetics , Antimetabolites, Antineoplastic/therapeutic use , Antineoplastic Agents/therapeutic use , Biotransformation/genetics , Brazil , Gene Frequency , Genetic Loci , Genetic Markers , Genotype , Glucocorticoids/pharmacokinetics , Glucocorticoids/therapeutic use , HapMap Project , Humans , Mercaptopurine/pharmacokinetics , Mercaptopurine/therapeutic use , Methotrexate/pharmacokinetics , Methotrexate/therapeutic use , Precursor Cell Lymphoblastic Leukemia-Lymphoma/metabolism , Regression Analysis
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