Comprehensive genotype-phenotype analysis in POLR3-related disorders.
СтатьяСистематический обзорНазвание и аннотация: Перевод в очереди
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Michell-Robinson Mackenzie A, Perrier Stefanie, Gauthier Samuel, Derksen Alexa, Sabbagh Quentin, Girbig Mathias, Misiaszek Agata D, Pizzino Amy M, Renaud Deborah L, De Assis Pereira Danilo, Okuda Paola, Karoleska Luciana Maestri, Keller Stephanie, Chong Karen, Gauquelin Laurence, Brais Bernard, Leube Barbara, Grider Tiffany, Shy Michael E, Schüle Rebecca, Minnerop Martina, Bertini Enrico, Nicita Francesco, Tonduti Davide, Müller Christoph W, Vanderver Adeline, Wolf Nicole I, Bernard Geneviève
Аннотация
RNA polymerase III (RNA Pol III)-related disorders (POLR3-RDs) are a group of clinical entities characterized by causal variants in genes encoding RNA Pol III subunits, including POLR3A, POLR3B, POLR1C, POLR1D, POLR3D, POLR3E, POLR3F, POLR3GL, POLR3H, and POLR3K. These typically cause developmental phenotypes affecting the central nervous system; the eyes; connective tissues including bones, teeth, and endocrine axes; and the reproductive system. Similar phenotypes can be caused by variants in separate subunit genes (multigenic). In contrast, variants in the same gene can cause different phenotypes (pleiotropy), making genotype-phenotype correlation challenging. POLR3-RDs, though individually rare, have never been analyzed collectively. To bridge this gap, we developed an extensive database encompassing all published and unpublished cases of POLR3-RDs and conducted the first comprehensive genotype-phenotype correlation study across their entire spectrum. This work contributed new cases, representing 13% of all documented cases in the literature, along with 31 novel variants, accounting for 8% of all identified variants. This database was constructed by systematically reviewing the literature and integrating data from patients under the care of our international network of collaborators. The dataset includes genotype curation, bioinformatics, prior publications, and individual patient outcome information. By leveraging these comprehensive data, we were able to establish clear genotype-phenotype correlations for some pathogenic variants, which will help provide optimal clinical care and genetic counseling (including insights into disease phenotypes and progression) and offer valuable guidance for future clinical trial design and patient stratification.