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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.