Tomer Poleg, Noam Hadar, Gali Heimer, Vadim Dolgin, Ilana Aminov, Amit Safran, Nadav Agam, Matan M Jean, Ofek Freund, Simran Kaur, John Christodoulou, Bruria Ben-Zeev, Ohad S Birk
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Unraveling MECP2 structural variants in previously elusive Rett syndrome cases through IGV interpretation.
Rett syndrome (RTT) is a severe neurodevelopmental disorder, with MECP2 mutations accounting for 90-95% of classic and 50-70% of atypical cases. However, many clinically diagnosed RTT patients remain without molecular diagnoses. While point mutations and large rearrangements in MECP2 are well studied, the role of small-intermediate structural variants (SVs) remains mostly elusive. Using standard short-read whole genome sequencing, we identified novel de novo SVs in three out of three previously unresolved RTT cases: a complex SV with two deletions ( ~ 5Kbp and ~60Kbp) and a ~105Kbp inversion; a ~200Kbp translocation; and a ~3Kbp deletion. These findings suggest that such elusive SVs might be a common cause for "MECP2-negative" RTT. Incorporating SV detection into routine genetic testing through bioinformatic analysis of short-read sequencing or manual review using IGV could improve diagnostic rates and expand our understanding of RTT and similar disorders.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.