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DOI 10.1136/jmg-2023-109832

Медицинская библиотека · Journal of medical genetics · 2024

Accurate prenatal diagnosis of facioscapulohumeral muscular dystrophy 1 using nanopore sequencing.

Wang Yanan, Zhao Zhenhua, Meng Fei, Kong Xiangdong

СтатьяКлинический случайПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Facioscapulohumeral muscular dystrophy 1 (FSHD1) is an autosomal dominant muscular disorder mainly caused by the contraction and hypomethylation of the D4Z4 repeat array in chromosome 4q35. Prenatal diagnosis of FSHD1 is challenging due to the highly repetitive and long genomic structure. In this study, a pregnant woman diagnosed with FSHD1 using optical genome mapping sought assistance for a healthy offspring.

METHODS

At the 17th week of gestation, she underwent amniocentesis, and genomic DNA (gDNA) was extracted from amniocytes. Whole-genome sequencing of the gDNA was performed using the nanopore MinION platform.

RESULTS

Despite a sequencing depth of only 7.3×, bioinformatic analyses revealed that the fetus inherited four D4Z4 repeat units with the permissive 4qA from the mother and the eight D4Z4 repeat units with the non-permissive 4qB from the father. To validate the results, SNP-based linkage analyses were conducted with gDNA from the proband, the proband's father and proband's amniocytes. Results indicated that the fetus inherited the maternal pathogenic haplotype based on 144 informative SNPs. Linkage analysis was consistent with the nanopore sequencing.

CONCLUSION

Nanopore sequencing proves to be an accurate and direct method for genetic testing of monogenic diseases at the single-nucleotide level. This study represents the first application of nanopore sequencing in the prenatal diagnosis of FSHD1, providing a significant advantage for patients with de novo mutations.

Для цитирования: Wang Yanan, Zhao Zhenhua, Meng Fei, Kong Xiangdong. Accurate prenatal diagnosis of facioscapulohumeral muscular dystrophy 1 using nanopore sequencing.. Journal of medical genetics. 2024. DOI: 10.1136/jmg-2023-109832.

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