Clinical and genetic characterization of DNM1l-related disorders: insights into genotype–phenotype correlations

This study provides the largest clinical and genetic characterization of <i>DNM1L</i>associated disorders to date and establishes genotype-phenotype correlations stratified by protein domain. The identification of RHADS as a distinctive EEG signature highlights its potential utility as a biomarker for specific clinical and genetic subgroups. Validation in larger, independent cohorts is necessary.

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Publication Details

Journal
Frontiers in Pediatrics
Published
2025-10-30
DOI
https://doi.org/10.3389/fped.2025.1672700
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.82

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article

Clinical and genetic characterization of DNM1l-related disorders: insights into genotype–phenotype correlations

Dan Sun, Huang Sheng, Fang Fang, Hua Li et al.
1 citations
Frontiers in Pediatrics
Genomics and Rare Diseases
1.82
article

Clinical and genetic characterization of DNM1l-related disorders: insights into genotype–phenotype correlations

Dan Sun, Huang Sheng, Fang Fang, Hua Li, Xu Manting, Han Xiaodi
article en
1 citations

Abstract

This study provides the largest clinical and genetic characterization of <i>DNM1L</i>associated disorders to date and establishes genotype-phenotype correlations stratified by protein domain. The identification of RHADS as a distinctive EEG signature highlights its potential utility as a biomarker for specific clinical and genetic subgroups. Validation in larger, independent cohorts is necessary.

Frontiers in PediatricsVol. 13
Capital Medical University (CN), Wuhan Children's Hospital (CN), Beijing Children’s Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Genomics and Rare Diseases
1.82
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