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84例意大利1型神经纤维瘤病患者基因变异的准确分类

Accurate Classification of Gene Variants in 84 Italian Patients with Neurofibromatosis Type 1.

作者信息

Stella Alessandro, Lastella Patrizia, Loconte Daria Carmela, Bukvic Nenad, Varvara Dora, Patruno Margherita, Bagnulo Rosanna, Lovaglio Rosaura, Bartolomeo Nicola, Serio Gabriella, Resta Nicoletta

机构信息

Laboratorio di Genetica Medica, Dipartimento di Scienze Biomediche e Oncologia Umana, Università degli Studi di Bari Aldo Moro, 70124 Bari, Italy.

Centro di Malattie Rare, Azienda Ospedaliero-Universitario Policlinico di Bari, 70124 Bari, Italy.

出版信息

Genes (Basel). 2018 Apr 17;9(4):216. doi: 10.3390/genes9040216.

Abstract

Neurofibromatosis type 1 (NF1) is one of the most common autosomal dominant genetic diseases. It is caused by mutations in the gene encoding for the large protein, neurofibromin. Genetic testing of is cumbersome because 50% of cases are sporadic, and there are no mutation hot spots. In addition, the most recognizable NF1 clinical features—café-au-lait (CALs) spots and axillary and/or inguinal freckling—appear early in childhood but are rather non-specific. Thus, the identification of causative variants is extremely important for early diagnosis, especially in paediatric patients. Here, we aimed to identify the underlying genetic defects in 72 index patients referred to our centre for NF1. Causative mutations were identified in 58 subjects, with 29 being novel changes. We evaluated missense and non-canonical splicing mutations with both protein and splicing prediction algorithms. The ratio of splicing mutations detected was higher than that reported in recent patients’ series and in the Human Gene Mutation Database (HGMD). After applying in silico predictive tools to 41 previously reported missense variants, we demonstrated that 46.3% of these putatively missense mutations were forecasted to alter splicing instead. Our data suggest that mutations affecting splicing can be frequently underscored if not analysed in depth. We confirm that hamartomas can be useful for diagnosing NF1 in children. Lisch nodules and cutaneous neurofibromas were more frequent in patients with frameshifting mutations. In conclusion, we demonstrated that comprehensive in silico analysis can be a highly specific method for predicting the nature of mutations and may help in assuring proper patient care.

摘要

1型神经纤维瘤病(NF1)是最常见的常染色体显性遗传病之一。它由编码大蛋白神经纤维瘤蛋白的基因突变引起。由于50%的病例为散发性,且不存在突变热点,因此NF1的基因检测很麻烦。此外,NF1最易识别的临床特征——牛奶咖啡斑(CALs)和腋窝及/或腹股沟雀斑——在儿童早期就会出现,但特异性不强。因此,确定致病变异对于早期诊断极为重要,尤其是在儿科患者中。在此,我们旨在确定转诊至我们中心的72例NF1索引患者的潜在基因缺陷。在58名受试者中鉴定出致病突变,其中29个为新的变化。我们使用蛋白质和剪接预测算法评估错义突变和非经典剪接突变。检测到的剪接突变比例高于近期患者系列报道以及人类基因突变数据库(HGMD)中的比例。在对41个先前报道的错义变异应用计算机预测工具后,我们证明这些推定的错义突变中有46.3%预计会改变剪接。我们的数据表明,如果不进行深入分析,影响剪接的突变可能经常被忽视。我们证实错构瘤可用于儿童NF1的诊断。移码突变患者的Lisch结节和皮肤神经纤维瘤更为常见。总之,我们证明全面的计算机分析可以成为预测NF1突变性质的高度特异性方法,并可能有助于确保为患者提供适当的护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69c9/5924558/938393dfe665/genes-09-00216-g001.jpg

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