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1.
Neurol Sci ; 45(9): 4349-4365, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-38587696

RESUMO

INTRODUCTION: Ataxia is one of the clinical findings of the movement disorder disease group. Although there are many underlying etiological reasons, genetic etiology has an increasing significance thanks to the recently developing technology. The aim of this study is to present the variants detected in WES analysis excluding non-genetic causes, in patients with ataxia. METHODS: Thirty-six patients who were referred to us with findings of ataxia and diagnosed through WES or other molecular genetic analysis methods were included in our study. At the same time, information such as the onset time of the complaints, consanguinity status between parents, and the presence of relatives with similar symptoms were evaluated. If available, the patient's biochemical and radiological test results were presented. RESULTS: Thirty-six patients were diagnosed through WES or CES. The rate of detected autosomal recessive inheritance disease was 80.5%, while that of autosomal dominant inheritance disease was 19.5%. Abnormal cerebellum was detected on brain MRI images in 26 patients, while polyneuropathy was detected on EMG in eleven of them. While the majority of the patients were compatible with similar cases reported in the literature, five patients had different/additional features (variants in MCM3AP, AGTPBP1, GDAP2, and SH3TC2 genes). CONCLUSIONS: The diagnosis of ataxia patients with unknown etiology is made possible thanks to these clues. Consideration of a genetic approach is recommended in patients with ataxia of unknown etiology.


Assuntos
Ataxia , Humanos , Masculino , Feminino , Adulto , Turquia/epidemiologia , Ataxia/genética , Ataxia/diagnóstico por imagem , Adolescente , Adulto Jovem , Criança , Pessoa de Meia-Idade , Estudos de Coortes , Sequenciamento do Exoma , Pré-Escolar , Imageamento por Ressonância Magnética
2.
Arch Endocrinol Metab ; 68: e210305, 2024 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-38289143

RESUMO

Mutations in the insulin receptor (INSR) gene may present with variable clinical phenotypes. We report herein a novel heterozygous INSR mutation in an adolescent girl with type A insulin resistance syndrome and her mother.The index case was a 12-year-old girl without obesity who presented with excessive hair growth, especially in the chest and back area, and hyperpigmentation on the back of the neck (acanthosis nigricans). Acanthosis nigricans was first observed at the age of 11 years. On physical examination, the patient had acanthosis nigricans and hypertrichosis with no acne. Systolic and diastolic blood pressure measurement was within the normal range for age and sex. Laboratory tests revealed fasting hyperglycemia, fasting and postprandial hyperinsulinemia, elevated HbA1c level, and biochemical hyperandrogenemia. Fasting plasma lipids were normal. A diagnosis of type A insulin resistance syndrome was considered, and INSR gene mutation analysis was performed. Next generation sequence analysis was performed with the use of primers containing exon/exon-intron junctions in the INSR gene, and a novel heterozygous c.3486_3503delGAGAAACTGCATGGTCGC/p.Arg1163_Ala1168del change was detected in exon 19 of the INSR gene. In segregation analysis, the same variant was detected in the patient's mother, who had a milder clinical phenotype.We reported a novel, heterozygous, p.Arg1163_Ala1168del mutation in exon 19 of the INSR gene in a patient with type A insulin resistance syndrome, expanding the mutation database. The same mutation was associated with variable phenotypical severity in two subjects within the same family.


Assuntos
Acantose Nigricans , Diabetes Mellitus , Resistência à Insulina , Criança , Feminino , Humanos , Acantose Nigricans/genética , Antígenos CD , Diabetes Mellitus/genética , Resistência à Insulina/genética , Mães , Mutação/genética , Receptor de Insulina/genética
3.
J Pediatr Genet ; 10(1): 74-76, 2021 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-33552644

RESUMO

Mucopolysaccharidosis type IIIB (Sanfilippo's B; OMIM no.: 252920) is a lysosomal storage disorder caused by defective degradation of heparan sulfate. The enzyme that has decreased function in this disease is α-N acetylglucosaminidase. This enzyme is encoded by the NAGLU gene. A 9-year-old male patient was referred to us with speech disability, developmental delay, hepatomegaly, mild learning disability, and otitis media with effusion complaints. Whole exome sequencing (WES) was performed because of consanguinity between the parents of the patient and the lack of specific prediagnosis. As a result of the patient's WES analysis, a homozygous mutation was detected in the NAGLU gene. The leukocyte enzyme activity was then evaluated to confirm the diagnosis. Alpha-N acetylglucosaminidase deficiency was found. Alpha-N acetylglucosaminidase activity was 0.2 nmol/mLh. WES is a successful diagnostic method in the diagnosis of the mild clinical diseases with recessive inheritance. In addition, our case is a good example of genotype to phenotype diagnosis. Because in storage diseases, the diagnosis is made by leukocyte enzyme analysis first, and then the result is confirmed by gene analysis. The opposite situation occurred in our case.

4.
Mol Syndromol ; 11(1): 4-14, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-32256296

RESUMO

The diagnosis of rare genetic diseases is one of the most difficult areas in medicine. Whole-exome sequencing (WES) technology makes it easier to diagnose these diseases. In addition, next-generation phenotyping can help to diagnose computer-based algorithms. Detailed dysmorphologic findings of 25 patients diagnosed by WES in our center were described. The success of this technology in diagnosing rare genetic diseases was investigated by scanning the photographs of 25 patients with Face2Gene application. The application listed possible preliminary diagnoses (30 disease suggestion). Of these, 12 (48%) cases were correctly matched. The most common disease group in the patients was neurological disease (96%). The most common mode of inheritance in the patients was autosomal recessive. The rate of consanguineous marriages was determined in 80% of the patients. Ten patients had microcephaly and 7 patients had corpus callosum anomaly. In our study, we found that the success of Face2Gene was lower than described in the literature. We think that the probable cause of this condition is that the cases are very rare, and there is not enough data about these diseases in the application. Therefore, it is recommended that applications should be used more frequently by pediatricians and clinical geneticists. The diagnosis of rare diseases still is quite difficult. Nowadays, WES is a successful method. However, applications such as Face2Gene help to make a clinical prediagnosis and create a larger database.

5.
Clin Med Insights Case Rep ; 13: 1179547620948666, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32884387

RESUMO

INTRODUCTION: Cerebellar dysplasia with cysts (CDC) is an imaging finding which is typically seen with in individuals with dystroglycanopathy. One of the diseases causing this condition is "Poretti-Boltshauser Syndrome; PTBHS" (OMIM #615960). Homozygous or compound heterozygous mutations in the LAMA1 gene cause this disease. CASE PRESENTATION: 7 years old twin siblings consulted to the medical genetics department because of walking problems and cerebellar examination findings. MANAGEMENT AND OUTCOME: Clinical and radiological findings of the patient suggested a syndrome with recessive inheritance. Whole exome sequencing (WES) test was performed for definitive diagnosis. As a result of the patient's WES analysis, a homozygous mutation was detected in the LAMA1 gene. DISCUSSION: When determining the inheritance pattern of genetic diseases, if parents have consanquinity, this situation leads us to recessive inheritance diseases. Even if we are not consanquinity, but they say the same village, it is necessary to pay attention to the diseases of the recessive group. Whole exome sequencing analysis results in large amount of data generation. A good clinical evaluation is required to detect the mutation as a result of large data. To understand what we have found, we need to know what we are looking for.

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