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1.
Hum Mol Genet ; 31(16): 2766-2778, 2022 08 23.
Artículo en Inglés | MEDLINE | ID: mdl-35348676

RESUMEN

We previously molecularly and clinically characterized Mazzanti syndrome, a RASopathy related to Noonan syndrome that is mostly caused by a single recurrent missense variant (c.4A > G, p.Ser2Gly) in SHOC2, which encodes a leucine-rich repeat-containing protein facilitating signal flow through the RAS-mitogen-associated protein kinase (MAPK) pathway. We also documented that the pathogenic p.Ser2Gly substitution causes upregulation of MAPK signaling and constitutive targeting of SHOC2 to the plasma membrane due to the introduction of an N-myristoylation recognition motif. The almost invariant occurrence of the pathogenic c.4A > G missense change in SHOC2 is mirrored by a relatively homogeneous clinical phenotype of Mazzanti syndrome. Here, we provide new data on the clinical spectrum and molecular diversity of this disorder and functionally characterize new pathogenic variants. The clinical phenotype of six unrelated individuals carrying novel disease-causing SHOC2 variants is delineated, and public and newly collected clinical data are utilized to profile the disorder. In silico, in vitro and in vivo characterization of the newly identified variants provides evidence that the consequences of these missense changes on SHOC2 functional behavior differ from what had been observed for the canonical p.Ser2Gly change but converge toward an enhanced activation of the RAS-MAPK pathway. Our findings expand the molecular spectrum of pathogenic SHOC2 variants, provide a more accurate picture of the phenotypic expression associated with variants in this gene and definitively establish a gain-of-function behavior as the mechanism of disease.


Asunto(s)
Anomalías Múltiples , Péptidos y Proteínas de Señalización Intracelular , Síndrome del Cabello Anágeno Suelto , Anomalías Múltiples/genética , Humanos , Péptidos y Proteínas de Señalización Intracelular/genética , Síndrome del Cabello Anágeno Suelto/genética , Fenotipo , Proteínas ras/genética , Proteínas ras/metabolismo
2.
Am J Med Genet A ; 185(3): 850-855, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-33283961

RESUMEN

Cell division cycle 42 (CDC42) is a small Rho GTPase, which serves as a fundamental intracellular signal node regulating actin cytoskeletal dynamics and several other integral cellular processes. CDC42-associated disorders encompass a broad clinical spectrum including Takenouchi-Kosaki syndrome, autoinflammatory syndromes and neurodevelopmental phenotypes mimicking RASopathies. Dysregulation of CDC42 signaling by genetic defects in either DOCK6 or ARHGAP31 is also considered to play a role in the pathogenesis of Adams-Oliver syndrome (AOS). Here, we report a mother and her child carrying the previously reported pathogenic CDC42 variant c.511G>A (p.Glu171Lys). Both affected individuals presented with short stature, distinctive craniofacial features, pectus deformity as well as heart and eye anomalies, similar to the recently described Noonan syndrome-like phenotype associated with this variant. Remarkably, one of the patients additionally exhibited aplasia cutis congenita of the scalp. Multi-gene panel sequencing of the known AOS-causative genes and whole exome sequencing revealed no second pathogenic variant in any disease-associated gene explaining the aplasia cutis phenotype in our patient. This observation further expands the phenotypic spectrum of CDC42-associated disorders and underscores the role of CDC42 dysregulation in the pathogenesis of aplasia cutis congenita.


Asunto(s)
Anomalías Múltiples/genética , Displasia Ectodérmica/genética , Mutación Missense , Mutación Puntual , Enfermedades Cutáneas Vasculares/genética , Telangiectasia/congénito , Proteína de Unión al GTP cdc42/deficiencia , Adulto , Sustitución de Aminoácidos , Anomalías Craneofaciales/genética , Enanismo/genética , Anomalías del Ojo/genética , Femenino , Estudios de Asociación Genética , Cardiopatías Congénitas/genética , Humanos , Recién Nacido , Livedo Reticularis , Linaje , Fenotipo , Cuero Cabelludo/patología , Telangiectasia/genética , Proteína de Unión al GTP cdc42/genética
3.
Brain ; 143(12): 3564-3573, 2020 12 01.
Artículo en Inglés | MEDLINE | ID: mdl-33242881

RESUMEN

KCNN2 encodes the small conductance calcium-activated potassium channel 2 (SK2). Rodent models with spontaneous Kcnn2 mutations show abnormal gait and locomotor activity, tremor and memory deficits, but human disorders related to KCNN2 variants are largely unknown. Using exome sequencing, we identified a de novo KCNN2 frameshift deletion in a patient with learning disabilities, cerebellar ataxia and white matter abnormalities on brain MRI. This discovery prompted us to collect data from nine additional patients with de novo KCNN2 variants (one nonsense, one splice site, six missense variants and one in-frame deletion) and one family with a missense variant inherited from the affected mother. We investigated the functional impact of six selected variants on SK2 channel function using the patch-clamp technique. All variants tested but one, which was reclassified to uncertain significance, led to a loss-of-function of SK2 channels. Patients with KCNN2 variants had motor and language developmental delay, intellectual disability often associated with early-onset movement disorders comprising cerebellar ataxia and/or extrapyramidal symptoms. Altogether, our findings provide evidence that heterozygous variants, likely causing a haploinsufficiency of the KCNN2 gene, lead to novel autosomal dominant neurodevelopmental movement disorders mirroring phenotypes previously described in rodents.


Asunto(s)
Trastornos del Movimiento/genética , Trastornos del Neurodesarrollo/genética , Canales de Potasio de Pequeña Conductancia Activados por el Calcio/genética , Adolescente , Adulto , Ataxia Cerebelosa/genética , Ataxia Cerebelosa/psicología , Niño , Preescolar , Fenómenos Electrofisiológicos , Exoma , Mutación del Sistema de Lectura , Variación Genética , Haploinsuficiencia , Humanos , Discapacidad Intelectual/genética , Discapacidad Intelectual/psicología , Discapacidades para el Aprendizaje/genética , Discapacidades para el Aprendizaje/psicología , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Trastornos del Movimiento/psicología , Mutación Missense/genética , Trastornos del Neurodesarrollo/psicología , Técnicas de Placa-Clamp , Sustancia Blanca/anomalías , Sustancia Blanca/diagnóstico por imagen , Adulto Joven
4.
Epilepsia ; 60(11): 2277-2285, 2019 11.
Artículo en Inglés | MEDLINE | ID: mdl-31625145

RESUMEN

OBJECTIVE: Monoallelic de novo gain-of-function variants in the voltage-gated sodium channel SCN8A are one of the recurrent causes of severe developmental and epileptic encephalopathy (DEE). In addition, a small number of de novo or inherited monoallelic loss-of-function variants have been found in patients with intellectual disability, autism spectrum disorder, or movement disorders. Inherited monoallelic variants causing either gain or loss-of-function are also associated with less severe conditions such as benign familial infantile seizures and isolated movement disorders. In all three categories, the affected individuals are heterozygous for a SCN8A variant in combination with a wild-type allele. In the present study, we describe two unusual families with severely affected individuals who inherited biallelic variants of SCN8A. METHODS: We identified two families with biallelic SCN8A variants by diagnostic gene panel sequencing. Functional analysis of the variants was performed using voltage clamp recordings from transfected ND7/23 cells. RESULTS: We identified three probands from two unrelated families with DEE due to biallelic SCN8A variants. Each parent of an affected individual carried a single heterozygous SCN8A variant and exhibited mild cognitive impairment without seizures. In both families, functional analysis demonstrated segregation of one allele with complete loss-of-function, and one allele with altered biophysical properties consistent with partial loss-of-function. SIGNIFICANCE: These studies demonstrate that SCN8A DEE may, in rare cases, result from inheritance of two variants, both of which exhibit reduced channel activity. In these families, heterozygosity for the dominant variants results in less severe disease than biallelic inheritance of two variant alleles. The clinical consequences of variants with partial and complete loss of SCN8A function are variable and likely to be influenced by genetic background.


Asunto(s)
Encefalopatías/genética , Discapacidades del Desarrollo/genética , Epilepsia/genética , Frecuencia de los Genes/genética , Variación Genética/genética , Canal de Sodio Activado por Voltaje NAV1.6/genética , Adulto , Encefalopatías/complicaciones , Encefalopatías/diagnóstico , Preescolar , Discapacidades del Desarrollo/complicaciones , Discapacidades del Desarrollo/diagnóstico , Epilepsia/complicaciones , Epilepsia/diagnóstico , Femenino , Humanos , Masculino , Linaje
5.
Nat Med ; 25(1): 60-64, 2019 01.
Artículo en Inglés | MEDLINE | ID: mdl-30617323

RESUMEN

Syndromic genetic conditions, in aggregate, affect 8% of the population1. Many syndromes have recognizable facial features2 that are highly informative to clinical geneticists3-5. Recent studies show that facial analysis technologies measured up to the capabilities of expert clinicians in syndrome identification6-9. However, these technologies identified only a few disease phenotypes, limiting their role in clinical settings, where hundreds of diagnoses must be considered. Here we present a facial image analysis framework, DeepGestalt, using computer vision and deep-learning algorithms, that quantifies similarities to hundreds of syndromes. DeepGestalt outperformed clinicians in three initial experiments, two with the goal of distinguishing subjects with a target syndrome from other syndromes, and one of separating different genetic subtypes in Noonan syndrome. On the final experiment reflecting a real clinical setting problem, DeepGestalt achieved 91% top-10 accuracy in identifying the correct syndrome on 502 different images. The model was trained on a dataset of over 17,000 images representing more than 200 syndromes, curated through a community-driven phenotyping platform. DeepGestalt potentially adds considerable value to phenotypic evaluations in clinical genetics, genetic testing, research and precision medicine.


Asunto(s)
Aprendizaje Profundo , Facies , Enfermedades Genéticas Congénitas/diagnóstico , Algoritmos , Genotipo , Humanos , Procesamiento de Imagen Asistido por Computador , Fenotipo , Síndrome
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