Article Text
Abstract
Purpose Wide access to clinical exome/genome sequencing (ES/GS) enables the identification of multiple molecular diagnoses (MMDs), being a long-standing but underestimated concept, defined by two or more causal loci implicated in the phenotype of an individual with a rare disease. Only few series report MMDs rates (1.8% to 7.1%). This study highlights the increasing role of MMDs in a large cohort of individuals addressed for congenital anomalies/intellectual disability (CA/ID).
Methods From 2014 to 2021, our diagnostic laboratory rendered 880/2658 positive ES diagnoses for CA/ID aetiology. Exhaustive search on MMDs from ES data was performed prospectively (January 2019 to December 2021) and retrospectively (March 2014 to December 2018).
Results MMDs were identified in 31/880 individuals (3.5%), responsible for distinct (9/31) or overlapping (22/31) phenotypes, and potential MMDs in 39/880 additional individuals (4.4%).
Conclusion MMDs are frequent in CA/ID and remain a strong challenge. Reanalysis of positive ES data appears essential when phenotypes are partially explained by the initial diagnosis or atypically enriched overtime. Up-to-date clinical data, clinical expertise from the referring physician, strong interactions between clinicians and biologists, and increasing gene discoveries and improved ES bioinformatics tools appear all the more fundamental to enhance chances of identifying MMDs. It is essential to provide appropriate patient care and genetic counselling.
- Genetics
- Genetic Variation
Data availability statement
Data are available upon reasonable request. Data that support the findings of this study, both clinical and molecular, are available from the corresponding author upon reasonable request.
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Data availability statement
Data are available upon reasonable request. Data that support the findings of this study, both clinical and molecular, are available from the corresponding author upon reasonable request.
Footnotes
Collaborators Orphanomix Physician’s Group: Alain Verloes, Alice Goldenberg, Alice Masurel, Aline Vincent, Anne-Marie Frances-Guidet, Aude Tessier, Audrey Putoux, Béatrice Laudier, Bénédicte Demeer, Benoit Funalot, Bérénice Doray, Brigitte Gilbert-Dussardier, Bruno Leheup, Céline Poirsier, Charlotte Dubucs, Christine Chiaverini, Christine Coubes, Christine Francannet, Cindy Colson, Claire Bansept, Constance Wells, Cyril Goizet, Cyril Mignot, Daniel Amram, Daniel Amsallem, Didier Lacombe, Dominique Martin-Coignard, Elise Schaefer, Fabienne Guiliano, Fabienne Prieur, Florence Petit, Florence Riccardi, Francesca Meloni, François Feillet, Gwenael Le Guyader, Hubert Journel, Isabelle Coupier, Isabelle Maystadt, Jean-Luc Alessandri, Lyse Ruaud, Marie-Line Jacquemont, Marie Noëlle Bonnet-Dupeyron, Marine Lebrun, Marta Spodenkiewicz, Martine Doco-Fenzy, Mathilde Renaud, Maude Grelet, Nicolas Chassaing, Nicole Philip, Odile Boute, Pascal Pujol, Patricia Blanchet, Philippe Khau Van Kien, Philippe Parent, Pierre Vabres, Renaud Touraine, Rodolphe Dard, Roseline Caumes, Sabine Sigaudy, Sandra Whalen, Sandrine Passemard, Sarah Grotto, Séverine Audebert Bellanger, Sophie Julia, Thierry Lavabre Bertrand, Tiffany Busa, Valérie Layet, Varoona Bizaoui, Yaumara Perdomo Trujillo, Yline Capri.
Contributors Conceptualisation: CR, LF, CT-R; data curation: all authors; formal analysis: CR, A-SD-P, YD; methodology: CR, LF, CT-R; visualisation: CR, A-SD-P, LF, CT-R; writing-original draft: CR, CT-R; writing-review and editing: all authors except OPG; guarantor: CT-R.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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