Mingtao Huang, Qinxin Zhang, Sihui Wu, Yixuan Liang, Yan Wang, Zhengfeng Xu, Ping Hu
{"title":"利用纳米孔长读自适应采样测序准确检测面肩肱肌营养不良1的D4Z4重复序列、甲基化和等位基因单倍型:一项初步研究","authors":"Mingtao Huang, Qinxin Zhang, Sihui Wu, Yixuan Liang, Yan Wang, Zhengfeng Xu, Ping Hu","doi":"10.1136/jmg-2025-110827","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Facioscapulohumeral muscular dystrophy 1 (FSHD1) is one of the most common autosomal dominant neuromuscular diseases. Genetic diagnosis of FSHD1 remains a challenge because of the long length and repetitive nature of D4Z4 repeats. Long-read sequencing is an effective method for detecting FSHD1, but sequencing depth remains a limitation.</p><p><strong>Methods: </strong>We developed a long-read library adaptive sampling (LRL-AS) method based on Oxford Nanopore Technologies (ONT) sequencing to comprehensively detect FSHD1. Two patients were sequenced by adaptive sampling, followed by analyses of D4Z4 repeat units (RUs), methylation and haplotype.</p><p><strong>Results: </strong>Compared with whole-genome sequencing, our LRL-AS method shows significant improvements in both sequencing depth and read length. LRL-AS can identify D4Z4 RUs contraction with accuracy comparable to optical genome mapping in both 4q35 and 10q26 regions. We also calculated methylation levels in the double homeobox 4 (<i>DUX4</i>) gene region. With the benefit of higher sequencing depth, allele-specific methylation can be calculated with greater precision. We also observed that, at different sequencing depths, ONT sequencing data consistently provide stable calculations of methylation levels. More importantly, we demonstrated that data from adaptive sampling can be effectively used to construct the haplotype of the pathogenic allele using single-nucleotide polymorphisms.</p><p><strong>Conclusion: </strong>Our LRL-AS method is a comprehensive approach for FSHD1 detection, improving the accuracy of D4Z4 RUs and methylation detection while enabling allele-specific haplotype construction. It holds promising potential for clinical application.</p>","PeriodicalId":16237,"journal":{"name":"Journal of Medical Genetics","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accurate detection of D4Z4 repeats, methylation and allele haplotype in facioscapulohumeral muscular dystrophy 1 using nanopore long-read adaptive sampling sequencing: a pilot study.\",\"authors\":\"Mingtao Huang, Qinxin Zhang, Sihui Wu, Yixuan Liang, Yan Wang, Zhengfeng Xu, Ping Hu\",\"doi\":\"10.1136/jmg-2025-110827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Facioscapulohumeral muscular dystrophy 1 (FSHD1) is one of the most common autosomal dominant neuromuscular diseases. Genetic diagnosis of FSHD1 remains a challenge because of the long length and repetitive nature of D4Z4 repeats. Long-read sequencing is an effective method for detecting FSHD1, but sequencing depth remains a limitation.</p><p><strong>Methods: </strong>We developed a long-read library adaptive sampling (LRL-AS) method based on Oxford Nanopore Technologies (ONT) sequencing to comprehensively detect FSHD1. Two patients were sequenced by adaptive sampling, followed by analyses of D4Z4 repeat units (RUs), methylation and haplotype.</p><p><strong>Results: </strong>Compared with whole-genome sequencing, our LRL-AS method shows significant improvements in both sequencing depth and read length. LRL-AS can identify D4Z4 RUs contraction with accuracy comparable to optical genome mapping in both 4q35 and 10q26 regions. We also calculated methylation levels in the double homeobox 4 (<i>DUX4</i>) gene region. With the benefit of higher sequencing depth, allele-specific methylation can be calculated with greater precision. We also observed that, at different sequencing depths, ONT sequencing data consistently provide stable calculations of methylation levels. More importantly, we demonstrated that data from adaptive sampling can be effectively used to construct the haplotype of the pathogenic allele using single-nucleotide polymorphisms.</p><p><strong>Conclusion: </strong>Our LRL-AS method is a comprehensive approach for FSHD1 detection, improving the accuracy of D4Z4 RUs and methylation detection while enabling allele-specific haplotype construction. It holds promising potential for clinical application.</p>\",\"PeriodicalId\":16237,\"journal\":{\"name\":\"Journal of Medical Genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Genetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jmg-2025-110827\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Genetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jmg-2025-110827","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Accurate detection of D4Z4 repeats, methylation and allele haplotype in facioscapulohumeral muscular dystrophy 1 using nanopore long-read adaptive sampling sequencing: a pilot study.
Background: Facioscapulohumeral muscular dystrophy 1 (FSHD1) is one of the most common autosomal dominant neuromuscular diseases. Genetic diagnosis of FSHD1 remains a challenge because of the long length and repetitive nature of D4Z4 repeats. Long-read sequencing is an effective method for detecting FSHD1, but sequencing depth remains a limitation.
Methods: We developed a long-read library adaptive sampling (LRL-AS) method based on Oxford Nanopore Technologies (ONT) sequencing to comprehensively detect FSHD1. Two patients were sequenced by adaptive sampling, followed by analyses of D4Z4 repeat units (RUs), methylation and haplotype.
Results: Compared with whole-genome sequencing, our LRL-AS method shows significant improvements in both sequencing depth and read length. LRL-AS can identify D4Z4 RUs contraction with accuracy comparable to optical genome mapping in both 4q35 and 10q26 regions. We also calculated methylation levels in the double homeobox 4 (DUX4) gene region. With the benefit of higher sequencing depth, allele-specific methylation can be calculated with greater precision. We also observed that, at different sequencing depths, ONT sequencing data consistently provide stable calculations of methylation levels. More importantly, we demonstrated that data from adaptive sampling can be effectively used to construct the haplotype of the pathogenic allele using single-nucleotide polymorphisms.
Conclusion: Our LRL-AS method is a comprehensive approach for FSHD1 detection, improving the accuracy of D4Z4 RUs and methylation detection while enabling allele-specific haplotype construction. It holds promising potential for clinical application.
期刊介绍:
Journal of Medical Genetics is a leading international peer-reviewed journal covering original research in human genetics, including reviews of and opinion on the latest developments. Articles cover the molecular basis of human disease including germline cancer genetics, clinical manifestations of genetic disorders, applications of molecular genetics to medical practice and the systematic evaluation of such applications worldwide.