Mutational analysis of PTPN11 gene in Taiwanese children with Noonan syndrome

High frequency of hotspot mutation in PTPN11 gene among Moroccan patients with Noonan syndrome

Noonan syndrome (NS; OMIM 163950) is an autosomal dominant RASopathy with variable clinical expression and genetic heterogeneity. Clinical manifestations include characteristic facial features, short stature, and cardiac anomalies. Variants in protein-tyrosine phosphatase, non-receptor-type 11 (PTPN11), encoding SHP-2, account for about half of NS patients, SOS1 in approximately 13%, RAF1 in 10%, and RIT1 each in 9%. Other genes have been reported to cause NS in less than 5% of cases including SHOC2, RASA2, LZTR1, SPRED2, SOS2, CBL, KRAS, NRAS, MRAS, PRAS, BRAF, PPP1CB, A2ML1, MAP2K1, and CDC42. Several additional genes associated with a Noonan syndrome-like phenotype have been identified. Clinical presentation and variants in patients with Noonan syndrome are this study's objectives. We performed Sanger sequencing of PTPN11 hotspot (exons 3, 8, and 13). We report molecular analysis of 61 patients with NS phenotype belonging to 58 families. We screened for hotspot variants (exons 3, 8, and 13) in PTPN11 gene by Sanger sequencing. Twenty-seven patients were carrying heterozygous pathogenic variants of PTPN11 gene with a similar frequency (41.4%) compared to the literature. Our findings expand the variant spectrum of Moroccan patients with NS phenotype in whom the analysis of hotspot variants showed a high frequency of exons 3 and 8. This screening test allowed us to establish a molecular diagnosis in almost half of the patients with a good benefit-cost ratio, with appropriate management and genetic counseling.

Spectrum of Mutations in PTPN11 in Russian Cohort

Noonan syndrome is a group of diseases with a similar clinical picture, consisting of 16 diseases caused by mutations in 15 genes. According to the literature, approximately half of all cases are attributed to Noonan syndrome type 1, NSML, caused by mutations in the PTPN11 gene. We analyzed 456 unrelated probands using a gene panel NGS, and in 206 cases, the cause of the disease was identified. Approximately half of the cases (107) were caused by variants in the PTPN11 gene, including three previously undescribed variants, one of which was classified as VOUS, and the other two as LP causative complex alleles. Frequent variants of the PTPN11 gene characteristics for Russian patients were identified, accounting for more than 38% (c.922A>G p.Asn308Asp, c.417G>C p.Glu139Asp, c.1403C>T p.Thr468Met) of all cases with mutations in the PTPN11 gene. A comparative characterization of frequent variants of the PTPN11 gene in different populations is shown. The most common features of Noonan syndrome in the studied sample were facial dysmorphisms and cardiovascular system abnormalities. A lower representation of patients with growth delay was observed compared to previously described samples.

A novel stop-gain pathogenic variant in FLT4 and a nonsynonymous pathogenic variant in PTPN11 associated with congenital heart defects

BACKGROUND

Congenital heart defects (CHDs) are the most common congenital malformations, including structural malformations in the heart and great vessels. CHD complications such as low birth weight, prematurity, pregnancy termination, mortality, and morbidity depend on the type of defect.

METHODS

In the present research, genetic analyses via whole-exome sequencing (WES) was performed on 3 unrelated pedigrees with CHDs. The candidate variants were confirmed, segregated by PCR-based Sanger sequencing, and evaluated by bioinformatics analysis.

RESULTS

A novel stop-gain c.C244T:p.R82X variant in the FLT4 gene, as well as a nonsynonymous c.C1403T:p.T468M variant in the PTPN11 gene, was reported by WES. FLT4 encodes a receptor tyrosine kinase involved in lymphatic development and is known as vascular endothelial growth factor 3.

CONCLUSIONS

We are the first to report a novel c.C244T variant in the FLT4 gene associated with CHDs. Using WES, we also identified a nonsynonymous variant affecting protein-tyrosine phosphatase, the non-receptor type 11 (PTPN11) gene. The clinical implementation of WES can determine gene variants in diseases with high genetic and phenotypic heterogeneity like CHDs.

Mosaic Variegated Aneuploidy Syndrome and Noonan Syndrome in the Same Family

Introduction

Mosaic variegated aneuploidy syndrome 2 (MVA2) and Noonan syndrome (NS) are 2 genetic disorders with overlapping clinical features, including intrauterine growth retardation, dysmorphic features, and heart defects. Whereas NS is a well-known congenital entity, MVA2 is rare, and only a few cases have been reported in the literature.

Case Presentation

We report on the molecular findings in 3 patients with short stature phenotypes from the same family. By considering the clinical overlap between the patients, a common cause for the small stature was assumed in the beginning, but by whole exome analysis (WES) it turned out that the phenotypes were caused by different pathogenic variants in CEP57 and PTPN11, respectively. As a result, both MVA2 and NS occurred in the same family.

Conclusion

As our example shows, the parallel occurrence of pathogenic alterations in different genes in the same family constitutes a challenge for the interpretation of WES data and has to be considered. The diagnostic workup illustrates the need for a careful anamnesis and molecular documentation in affected and healthy family members. The knowledge on the different molecular causes underlying the features of the affected family members is the basis for personalised therapeutic managements and can avoid unnecessary burden and even contraindicated therapies; while in patients with NS carrying PTPN11 variants growth hormone treatment leads to height increase, patients with MVA2 carrying CEP57 probably do not benefit from it.

Objective differential diagnosis of Noonan and Williams-Beuren syndromes in diverse populations using quantitative facial phenotyping

Introduction

Patients with Noonan and Williams–Beuren syndrome present similar facial phenotypes modulated by their ethnic background. Although distinctive facial features have been reported, studies show a variable incidence of those characteristics in populations with diverse ancestry. Hence, a differential diagnosis based on reported facial features can be challenging. Although accurate diagnoses are possible with genetic testing, they are not available in developing and remote regions.

Methods

We used a facial analysis technology to identify the most discriminative facial metrics between 286 patients with Noonan and 161 with Williams‐Beuren syndrome with diverse ethnic background. We quantified the most discriminative metrics, and their ranges both globally and in different ethnic groups. We also created population‐based appearance images that are useful not only as clinical references but also for training purposes. Finally, we trained both global and ethnic‐specific machine learning models with previous metrics to distinguish between patients with Noonan and Williams–Beuren syndromes.

Results

We obtained a classification accuracy of 85.68% in the global population evaluated using cross‐validation, which improved to 90.38% when we adapted the facial metrics to the ethnicity of the patients (p = 0.024).

Conclusion

Our facial analysis provided for the first time quantitative reference facial metrics for the differential diagnosis Noonan and Williams–Beuren syndromes in diverse populations.

Noonan Syndrome with Multiple Lentigines and PTPN11 Mutation: A Case with Intracerebral Hemorrhage

Noonan syndrome with multiple lentigines (NSML), previously known as LEOPARD syndrome, is a rare autosomal dominant disorder with an unknown prevalence. Characteristics of this disease include cutaneous, neurologic, and cardiologic abnormalities. In this case report, we present a 12-year-old girl who was admitted to the emergency department for acute-onset left weakness, unsteady gait, nausea, and vomiting. Her physical exam notably showed left side upper motor neuron signs and dysmetria. CT scan revealed an acute hemorrhage of the right thalamus. Physical exam exhibited several craniofacial dysmorphisms and lentigines. The genetic test revealed a heterozygous missense mutation in the protein tyrosine phosphatase non-receptor type 11 (PTPN11) gene and a variant of unknown significance of the MYH11 gene. To the best of our knowledge, this is the first case of a patient with NSML presenting an intracerebral hemorrhage.

Molecular and clinical studies in 107 Noonan syndrome affected individuals with PTPN11 mutations

Background

Noonan syndrome (NS), an autosomal dominant developmental genetic disorder, is caused by germline mutations in genes associated with the RAS / mitogen-activated protein kinase (MAPK) pathway. In several studies PTPN11 is one of the genes with a significant number of pathogenic variants in NS-affected patients. Therefore, clinically diagnosed NS individuals are initially tested for pathogenic variants in PTPN11 gene to confirm the relationship before studying genotype–phenotype correlation.

Methods

Individuals (363) with clinically diagnosed NS from four hospitals in South India were recruited and the exons of PTPN11 gene were sequenced.

Results

Thirty-two previously described pathogenic variants in eight different exons in PTPN11 gene were detected in 107 patients, of whom 10 were familial cases. Exons 3, 8 and 13 had the highest number of pathogenic variants. The most commonly identified pathogenic variants in this series were in exon 8 (c.922A > G, c.923A > G), observed in 22 of the affected. Congenital cardiac anomalies were present in 84% of the mutation-positive cohort, the majority being defects in the right side of the heart. The most common facial features were downward-slanting palpebral fissures, hypertelorism and low-set posteriorly rotated ears. Other clinical features included short stature (40%), pectus excavatum (54%) and, in males, unilateral or bilateral cryptorchidism (44%).

Conclusion

The clinical features and mutational spectrum observed in our cohort are similar to those reported in other large studies done worldwide. This is the largest case series of NS-affected individuals with PTPN11 mutations described till date from India.

Molecular and environmental characterization of Noonan syndrome in Morocco reveals a significant association with consanguinity and advanced parental age

Background

Noonan syndrome (NS) is one of the most common RASopathies, with an autosomal dominant inheritance. This disorder is caused by a range of genes belonging to the RAS-MAP kinase (rat sarcoma viral oncogene homolog/mitogen-activated protein kinases) pathway, with PTPN11 (protein-tyrosine phosphatase, non-receptor type 11) being the most involved genetic factor.

The aim of this study is to report PTPN11 mutations found in a cohort of Moroccans with Noonan syndrome, compare the mutation rate with various studies, and statistically assess involvement of prominent risk factors in manifestation of this disorder.

Thirty-one NS patients were screened for PTPN11 mutations using PCR-Sanger sequencing method. Pathogenic effect prediction, for detected variants, was carried out using PROVEAN, MutationTaster2, and HSF programs. Statistical tests were performed with R software. Chi-square and Fisher’s exact tests were used in percentage comparisons, while Student’s test was used in average comparisons.

Results

We detected five pathogenic mutations, one synonymous variant with a potential altering effect on splicing function, and three novel intronic duplications. PTPN11 mutation rate in our cohort is around 16.13%. Comparison of this rate with the corresponding rates in various populations shows notably significant differences across continents.

Conclusions

Besides genetic factors, the present study suggests involvement of additional environmental factors. Statistical assessment of clinical data confirms particularly the association of NS manifestation with consanguinity and advanced paternal age, and suggests an eventual implication of advanced maternal age as well.

Novel mutations and their genotype-phenotype correlations in patients with Noonan syndrome, using next-generation sequencing

PURPOSE

Noonan Syndrome (NS) is an autosomal dominant disorder with many variable and heterogeneous conditions. The genetic basis for 20-30% of cases is still unknown. This study evaluates Iranian Noonan patients both clinically and genetically for the first time.

MATERIALS/METHODS

Mutational analysis of PTPN11 gene was performed in 15 Iranian patients, using PCR and Sanger sequencing at phase one. Then, as phase two, Next Generation Sequencing (NGS) in the form of targeted resequencing was utilized for analysis of exons from other related genes. Homology modelling for the novel founded mutations was performed as well. The genotype, phenotype correlation was done according to the molecular findings and clinical features.

RESULTS

Previously reported mutation (p.N308D) in some patients and a novel mutation (p.D155N) in one of the patients were identified in phase one. After applying NGS methods, known and new variants were found in four patients in other genes, including: CBL (p. V904I), KRAS (p. L53W), SOS1 (p. I1302V), and SOS1 (p. R552G). Structural studies of two deduced novel mutations in related genes revealed deficiencies in the mutated proteins. Following genotype, phenotype correlation, a new pattern of the presence of intellectual disability in two patients was registered.

CONCLUSIONS

NS shows strong variable expressivity along the high genetic heterogeneity especially in distinct populations and ethnic groups. Also possibly unknown other causative genes may be exist. Obviously, more comprehensive and new technologies like NGS methods are the best choice for detection of molecular defects in patients for genotype, phenotype correlation and disease management.

Noonan syndrome in diverse populations

Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, individuals from diverse populations with NS were evaluated clinically and by facial analysis technology. Clinical data and images from 125 individuals with NS were obtained from 20 countries with an average age of 8 years and female composition of 46%. Individuals were grouped into categories of African descent (African), Asian, Latin American, and additional/other. Across these different population groups, NS was phenotypically similar with only 2 of 21 clinical elements showing a statistically significant difference. The most common clinical characteristics found in all population groups included widely spaced eyes and low-set ears in 80% or greater of participants, short stature in more than 70%, and pulmonary stenosis in roughly half of study individuals. Using facial analysis technology, we compared 161 Caucasian, African, Asian, and Latin American individuals with NS with 161 gender and age matched controls and found that sensitivity was equal to or greater than 94% for all groups, and specificity was equal to or greater than 90%. In summary, we present consistent clinical findings from global populations with NS and additionally demonstrate how facial analysis technology can support clinicians in making accurate NS diagnoses. This work will assist in earlier detection and in increasing recognition of NS throughout the world.

Noonan syndrome-causing genes: Molecular update and an assessment of the mutation rate

Noonan syndrome is a common autosomal dominant disorder characterized by short stature, congenital heart disease and facial dysmorphia with an incidence of 1/1000 to 2500 live births. Up to now, several genes have been proven to be involved in the disturbance of the transduction signal through the RAS-MAP Kinase pathway and the manifestation of Noonan syndrome. The first gene described was PTPN11, followed by SOS1, RAF1, KRAS, BRAF, NRAS, MAP2K1, and RIT1, and recently SOS2, LZTR1, and A2ML1, among others. Progressively, the physiopathology and molecular etiology of most signs of Noonan syndrome have been demonstrated, and inheritance patterns as well as genetic counseling have been established. In this review, we summarize the data concerning clinical features frequently observed in Noonan syndrome, and then, we describe the molecular etiology as well as the physiopathology of most Noonan syndrome-causing genes. In the second part of this review, we assess the mutational rate of Noonan syndrome-causing genes reported up to now in most screening studies. This review should give clinicians as well as geneticists a full view of the molecular aspects of Noonan syndrome and the authentic prevalence of the mutational events of its causing-genes. It will also facilitate laying the groundwork for future molecular diagnosis research, and the development of novel treatment strategies.

A PTPN11 allele encoding a catalytically impaired SHP2 protein in a patient with a Noonan syndrome phenotype

The RASopathies are a relatively common group of phenotypically similar and genetically related autosomal dominant genetic syndromes caused by missense mutations affecting genes participating in the RAS/mitogen-activated protein kinase (MAPK) pathway that include Noonan syndrome (NS) and Noonan syndrome with multiple lentigines (NSML, formerly LEOPARD syndrome). NS and NSML can be difficult to differentiate during infancy, but the presence of multiple lentigines, café au lait spots, and specific cardiac defects facilitate the diagnosis. Furthermore, individual PTPN11 missense mutations are highly specific to each syndrome and engender opposite biochemical alterations on the function of SHP-2, the protein product of that gene. Here, we report on a 5-year-old male with two de novo PTPN11 mutations in cis, c.1471C>T (p.Pro491Ser), and c.1492C>T (p.Arg498Trp), which are associated with NS and NSML, respectively. This boy's phenotype is intermediate between NS and NSML with facial dysmorphism, short stature, mild global developmental delay, pulmonic stenosis, and deafness but absence of café au lait spots or lentigines. The double-mutant SHP-2 was found to be catalytically impaired. This raises the question of whether clinical differences between NS and NSML can be ascribed solely to the relative SHP-2 catalytic activity.

Noonan syndrome: clinical features, diagnosis, and management guidelines

Noonan syndrome (NS) is a common, clinically and genetically heterogeneous condition characterized by distinctive facial features, short stature, chest deformity, congenital heart disease, and other comorbidities. Gene mutations identified in individuals with the NS phenotype are involved in the Ras/MAPK (mitogen-activated protein kinase) signal transduction pathway and currently explain ∼61% of NS cases. Thus, NS frequently remains a clinical diagnosis. Because of the variability in presentation and the need for multidisciplinary care, it is essential that the condition be identified and managed comprehensively. The Noonan Syndrome Support Group (NSSG) is a nonprofit organization committed to providing support, current information, and understanding to those affected by NS. The NSSG convened a conference of health care providers, all involved in various aspects of NS, to develop these guidelines for use by pediatricians in the diagnosis and management of individuals with NS and to provide updated genetic findings.

High resolution melting analysis for mutation detection for PTPN11 gene: applications of this method for diagnosis of Noonan syndrome

BACKGROUND

Noonan syndrome (NS, OMIM 163950) is a relatively common autosomal dominant disorder and has significant phenotypic overlap with Costello Syndrome and cardio-facio-cutaneous syndrome. Molecular diagnosis is useful for differential diagnosis. PTPN11 gene mutation is the most common mutation associated with NS and hence is a suitable target for molecular diagnostics.

METHODS

High resolution melting (HRM) analysis was used for screening of PTPN11 mutations. Eleven DNA samples with 10 known PTPN11 mutations were used for HRM calibration. Said calibrations were then applied to mutation screening of a panel of 50 additional NS patients.

RESULTS

HRM analysis differentiated all of the 10 known mutations and identified 9 additional mutations from 10 patients in the blind study, which is in line with results obtained by sequencing.

CONCLUSIONS

HRM analysis is a rapid, reliable, and low-cost tool for detection of PTPN11 genetic variants.

Noonan syndrome caused by germline KRAS mutation in Taiwan: report of two patients and a review of the literature

Noonan syndrome is a highly variable disorder that has significant phenotypic overlap with Costello syndrome and cardio-facio-cutaneous syndrome. KRAS mutation was the second reported gene for Noonan syndrome. This study screened for mutation of the KRAS gene in 57 unrelated ethnic Chinese children suffering from Noonan syndrome without PTPN11 gene mutation in Taiwan. This work only identified two patients with different missense mutations (c.40G>A, p.Val14Ile; c.108A>G, p.Ile36Met) in the exon 1 of KRAS gene. This study also analyzed the characteristics of 34 reported cases involving KRAS mutations in the literature. All these patients presented with variable phenotypes, including Noonan syndrome (n = 19), cardio-facio-cutaneous syndrome (n = 7), Costello syndrome (n = 6), and Noonan/cardio-facio-cutaneous syndrome (n = 1). The phenotype of KRAS mutations was generally severe, including short stature, mental retardation, heart defects, etc. In conclusion, this investigation demonstrates that KRAS mutations are the cause in a minority of cases of Chinese patients with Noonan syndrome in Taiwan.