Evidence map›Paper›PMID 38741136›Full record

ArticleJournal of translational medicine2024

Comprehensive genetic analysis of facioscapulohumeral muscular dystrophy by Nanopore long-read whole-genome sequencing.

Mingtao Huang, Qinxin Zhang, Jiao Jiao, Jianquan Shi, Yiyun Xu, Cuiping Zhang, Ran Zhou, Wenwen Liu, Yixuan Liang, Hao Chen and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mingtao Huang *Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Qinxin Zhang *Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Jiao Jiao *Department of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Jianquan Shi *Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210006, People's Republic of China.
Yiyun XuDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Cuiping ZhangDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Ran ZhouDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Wenwen LiuDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Yixuan LiangDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Hao ChenDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China.
Yan WangDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China. wangyan@njmu.edu.cn.
Zhengfeng XuDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China. zhengfengxu@njmu.edu.cn.
Ping HuDepartment of Prenatal Diagnosis, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, 123 Tianfei Alley, Mochou Road, Nanjing, Jiangsu, 210004, People's Republic of China. njfybjyhuping@163.com.ORCID 0000-0002-7297-8847

Funding

Jiangsu Province Capability Improvement Project through Science, Technology, and Education Jiangsu Provincial Medical Key Discipline ZDXK202211National Key R& D Program of China 2021YFC1005301National Key R& D Program of China 2022YFC2703400National Natural Science Foundation of China 81971398National Natural Science Foundation of China 82101943National Natural Science Foundation of China 82103927Natural Science Foundation of Jiangsu Province BK20210037
6 · The paper itself

Abstract

backgroundFacioscapulohumeral muscular dystrophy (FSHD) is a high-prevalence autosomal dominant neuromuscular disease characterized by significant clinical and genetic heterogeneity. Genetic diagnosis of FSHD remains a challenge because it cannot be detected by standard sequencing methods and requires a complex diagnosis workflow.

methodsWe developed a comprehensive genetic FSHD detection method based on Oxford Nanopore Technologies (ONT) whole-genome sequencing. Using a case-control design, we applied this procedure to 29 samples and compared the results with those from optical genome mapping (OGM), bisulfite sequencing (BSS), and whole-exome sequencing (WES).

resultsUsing our ONT-based method, we identified 59 haplotypes (35 4qA and 24 4qB) among the 29 samples (including a mosaic sample), as well as the number of D4Z4 repeat units (RUs). The pathogenetic D4Z4 RU contraction identified by our ONT-based method showed 100% concordance with OGM results. The methylation levels of the most distal D4Z4 RU and the double homeobox 4 gene (DUX4) detected by ONT sequencing are highly consistent with the BSS results and showed excellent diagnostic efficiency. Additionally, our ONT-based method provided an independent methylation profile analysis of two permissive 4qA alleles, reflecting a more accurate scenario than traditional BSS. The ONT-based method detected 17 variations in three FSHD2-related genes from nine samples, showing 100% concordance with WES.

conclusionsOur ONT-based FSHD detection method is a comprehensive method for identifying pathogenetic D4Z4 RU contractions, methylation level alterations, allele-specific methylation of two 4qA haplotypes, and variations in FSHD2-related genes, which will all greatly improve genetic testing for FSHD.

Indexed as

DNA MethylationMuscular Dystrophy, FacioscapulohumeralWhole Genome SequencingAdultCase-Control StudiesFemaleHaplotypesHomeodomain ProteinsHumansMaleNanopore SequencingHomeodomain ProteinsFacioscapulohumeral muscular dystrophyLong-read sequencingMethylationSingle nucleotide variantWhole genome sequencing

Identifiers

PMID38741136
PMCPMC11092085

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.