Mosaicism of common pathogenic MECP2 variants identified in two males with a clinical diagnosis of Rett syndrome

Autor: Jessica A. Cooley Coleman, Timothy Fee, Renee Bend, Raymond Louie, Fran Annese, Jennifer Stallworth, Jessica Worthington, Caroline Black Buchanan, David B. Everman, Steven Skinner, Michael J. Friez, Julie R. Jones, Catherine J. Spellicy
Rok vydání: 2022
Předmět:
Zdroj: American Journal of Medical Genetics Part A. 188:2988-2998
ISSN: 1552-4833
1552-4825
Popis: Rett (RTT) syndrome, a neurodevelopmental disorder caused by pathogenic variation in the MECP2 gene, is characterized by developmental regression, loss of purposeful hand movements, stereotypic hand movements, abnormal gait, and loss of spoken language. Due to the X-linked inheritance pattern, RTT is typically limited to females. Recent studies revealed somatic mosaicism in MECP2 in male patients with RTT-like phenotypes. While detecting mosaic variation using Sanger sequencing is theoretically possible for mosaicism over ~15%-20%, several variables, including efficiency of PCR, background noise, and/or human error, contribute to a low detection rate using this technology. Mosaic variants in two males were detected by next generation sequencing (NGS; Case 1) and by Sanger re-sequencing (Case 2). Both had targeted digital PCR (dPCR) to confirm the variants. In this report, we present two males with classic RTT syndrome in whom we identified pathogenic variation in the MECP2 gene in the mosaic state (c.730C T (p.Gln244*) in Patient 1 and c.397C T (p.Arg133Cys) in Patient 2). In addition, estimates and measures of mosaic variant fraction were surprisingly similar between Sanger sequencing, NGS, and dPCR. The mosaic state of these variants contributed to a lengthy diagnostic odyssey for these patients. While NGS and even Sanger sequencing may be viable methods of detecting mosaic variation in DNA or RNA samples, applying targeted dPCR to supplement these sequencing technologies would provide confirmation of somatic mosaicism and mosaic fraction.
Databáze: OpenAIRE
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