Non-coding CGG Repeat Expansion in LOC642361/NUTM2B-AS1 is Associated with a Phenotype of Oculopharyngodistal Myopathy.
Journal of Medical Genetics(2023)
Fudan Univ | Peking Univ First Hosp | Jingan Dist Ctr Hosp Shanghai | First Peoples Hosp Pinghu | Shandong Univ | Capital Med Univ | Huashan Hosp
Abstract
BackgroundOculopharyngodistal myopathy (OPDM) is a rare adult-onset neuromuscular disease, associated with CGG repeat expansions in the 5′ untranslated region ofLRP12,GIPC1,NOTCH2NLCandRILPL1. However, the genetic cause of a proportion of pathoclinically confirmed cases remains unknown.MethodsA total of 26 OPDM patients with unknown genetic cause(s) from 4 tertiary referral hospitals were included in this study. Clinical data and laboratory findings were collected. Muscle samples were observed by histological and immunofluorescent staining. Long-read sequencing was initially conducted in six patients with OPDM. Repeat-primed PCR was used to screen the CGG repeat expansions inLOC642361/NUTM2B-AS1in all 26 patients.ResultsWe identified CGG repeat expansion in the non-coding transcripts ofLOC642361/NUTM2B-AS1in another two unrelated Chinese cases with typical pathoclinical features of OPDM. The repeat expansion was more than 70 times in the patients but less than 40 times in the normal controls. Both patients showed no leucoencephalopathy but one showed mild cognitive impairment detected by Montreal Cognitive Assessment. Rimmed vacuoles and p62-positive intranuclear inclusions (INIs) were identified in muscle pathology, and colocalisation of CGG RNA foci with p62 was also found in the INIs of patient-derived fibroblasts.ConclusionsWe identified another two unrelated cases with CGG repeat expansion in the long non-coding RNA of theLOC642361/NUTM2B-AS1gene, presenting with a phenotype of OPDM. Our cases broadened the recognised phenotypic spectrum and pathogenesis in the disease associated with CGG repeat expansion inLOC642361/NUTM2B-AS1.
MoreTranslated text
Key words
neuromuscular diseases,neurology,nervous system diseases
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
CGG Repeat Expansion in LOC642361/NUTM2B-AS1 Typically Presents As Oculopharyngodistal Myopathy
Journal of genetics and genomics = Yi chuan xue bao 2023
被引用2
Advances on the Mechanisms and Therapeutic Strategies in Non-coding CGG Repeat Expansion Diseases.
Molecular Neurobiology 2024
被引用1
CGG/CCG Repeat Expansions in LOC642361/NUTM2B-AS1 in Thai Patients with Oculopharyngodistal Myopathy
NEUROLOGY-GENETICS 2024
被引用0
Dmtgs: Precise Targeted Enrichment Long-Read Sequencing Panel for Tandem Repeat Detection
Clinical chemistry 2025
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper